Ethical Dimensions of Renewable Energy and Sustainability Systems
Ethical Dimensions of Renewable Energy and Sustainability Systems mjg8Quick Facts about BIOET 533
- Instructor and Author: Erich W. Schienke, PhD. Lecturer, John and Willie Leone Family Department of Energy and Mineral Engineering, and Sustainability Management and Policy Option Leader in the Renewable Energy and Sustainability Systems (Online Masters and Graduate Certificates Program); and Ethics Co-Leader for the Clinical and Translational Sciences Institute, The Pennsylvania State University.
- Course Structure: Each week, you will have lesson pages to read and videos to watch on the course webpage, (links will be available on Canvas in the weekly folders), journal articles from the e-reserves, and three activities. The three types of activities are quizzes, discussions, and written assignments. Some combination of these will be required each week. These activities each week will give you the opportunity to demonstrate your learning of the material.
- In summary, your coursework will include:
- reviewing the online lectures and videos for each lesson;
- reading the assigned articles found on Canvas;
- completing the weekly assignments (discussion, activity, and quiz) by the due dates listed on the course calendar;
- completing the final project by the due date listed on the course calendar.
- Be sure to check out the list of assignments in the course calendar (click on the "Calendar" tab in Canvas). It clearly lays out all the lessons and their various assignments, and it indicates when each assignment is due. A grading rubric, and further descriptions of the assignments can be found in the Syllabus (click on the "Syllabus" tab in Canvas).
- Overview: This course presents an examination of ethical issues relevant to systems-based research procedures, professional conduct, social and environmental impacts, and embedded values in research and practice. The course is comprised of 8 lessons. Lessons are divided into case-based modules and a final project. Lessons 1 and 2 provide a conceptual base for engaging systems ethics. Lessons 3 through 8 are case studies of ethical issues that can arise when engaging renewable energy and sustainability systems. Your final project will be to develop an ethics case study based on your area of interest.
Want to join us? Students who register for this Penn State course gain access to assignments and instructor feedback and earn academic credit. For more information, visit Penn State's Renewable Energy and Sustainability Systems Program website(link is external). Official course descriptions and curricular details can be reviewed in the University Bulletin(link is external).
This course is offered as part of the Repository of Open and Affordable Materials(link is external) at Penn State. You are welcome to use and reuse materials that appear on this site (other than those copyrighted by others) subject to the licensing agreement linked to the bottom of this and every page.
Guides to using the Matrices
Guides to using the Matrices ews11Throughout this course, you will be asked to work with various worksheets, which I refer to here as matrices. The reason for calling these worksheets "matrices" is derived from the social sciences, where matrices are used throughout various disciplines to organize the collection and evaluation of qualitative data. We take this very same kind of approach here, with the matrices I have designed, for qualitatively identifying and evaluating across a wide variety of ethical issues.
Rule Zero: DON'T PANIC
First rule in using the matrices: You should not stick to the one sheet of paper. These matrices are conceptual frameworks, and I do not expect that you would be able to fit all the necessary detail in just the rows and columns of the pdf. Also, do not fill these out by hand and then scan and turn them in... this makes it very difficult for me read and to grade and give back comments. The best thing is to move your responses to a text file where you basically work through the columns and rows in a linear flowing manner, down the page. Just be sure to identify which of the sections you are responding to with a header for that section.
Second rule: Not all categories may be applicable to the case you are evaluating. Think carefully about it, but if it does not seem applicable, either indicate as such or just don't include that sub-category. However, and this is the tricky part, the specific topic/sub-category may not currently seem to be an issue; however, could it become an issue in the future if certain actions or consequences are not taken into consideration? This is the "anticipatory" aspect of ethical analyses which takes time to develop.
Third rule: Just because something does not seem to be an ethical issue since it has not been addressed does not mean it should not be considered. For example, just because a project does not address the needs and considerations of under-represented groups does not mean that it shouldn't address those needs. This is what I refer to as an "ethical deficit" or "ethical gap," where the lack of addressing an ethical need does not mean that there is no ethical issue there. Again, this is another example of trying to anticipate where ethical issues may go unrecognized.
Fourth rule: Always always always explain your reasoning. Remember the old "what, who, why, where, when and how?" rule of problem solving? Well, that should be a basic assumption in all your writing for this course, and others. For example, in the stakeholder matrix, just listing a person or group is not enough for anyone to go on... you need to explain what they have at stake and why.
Final rule: Do your best to think through these and apply the concepts. The reason why we go through a variety of these exercises is to improve your practice and familiarity with the various categories encountered in each of the matrices. I build room for improving your learning and do not expect perfection on the first attempts.
Matrix 1: Categorizing Top-Level Ethical Issues
Matrix 1: Categorizing Top-Level Ethical Issues ews11Ethics Matrix 1: Categorizing Top Level Ethical Issues
Choose a topic or use the one assigned to you, depending on the assignment. Begin to orient your topic in relation to the columns on the worksheet.
Stage 1: Identify and clarify initial conditions for analysis. Provide as much clarity to the description of the topics as possible. This is crucial. You need to define your case/topic clearly and in depth. A title alone will not suffice. Expect to write a paragraph describing. Remember the "who, what, where, when, why and how," in your description.
Stage 2: Review the three top-level categories on the course website, and remember they are inclusive, i.e., one issue can be in multiple categories
Stage 3: Begin with notes or quick phrases to fill the columns out. Make notes as needed and be able to describe further what the tags mean in context. Try to identify at least three issues per column. Provide a sentence or two describing each topic. Hint: you are looking for topics or issues that would make a difference if it were not done well or if it were done some other way, e.g., would your prefer surgery without anesthetics?
- First, identify what would it mean to “be professional” with handling a given issue.
- Second, identify how the topic or issues do, or could have impacts on people and the environment.
- Third, identify where there may be possible impacts based on choices about methods, analysis, and materials. (Note: Some issues or ways of looking at them may seem to fit in more than one column and that’s fine, just be able to explain the relationship.)
Stage 4: Then, rank the topics you identified in Stage 3 in order of importance, where importance can be either ethically "better or worse," it just indicates that it needs to be addressed and is of a high priority. Provide a brief summary (a few sentences) as to why you ranked them this way.
Matrix 1 FAQs
Q. So here what analysis we are talking about? Do you want us to pick a topic? Can you please give me examples of topics that can be picked? e.g., Topic can be “renewable energy over Fossil fuel”?
A: The topic of analysis depends on the assignment for that lesson. For the first assignment, I want you to begin thinking about a topic you would like to cover for your final project. You don't have to commit to what you decide upon now, but try to pick a case that you yourself would find useful to study more in-depth. Consider something you could either use and apply in your current work or a topic that you would like to add to your portfolio. If you are a solar, wind, or biofuels person, I suggest choosing something in that arena which you would like to learn more about. Try to avoid broad and sweeping topics, such as renewable energy over fossil fuels, and narrow your topic down as specifically as possible. The more specific you are, the easier it is to do the analysis because you are working with specifics. For example, we will later look at the ethical issues surrounding biofuels, and why some biofuels are much more ethical than others. So, it would be much better to do a comparison between, say first-generation biofuels and third generation biofuels, or the ethical issues of corn ethanol.
Q: So for Stage 3, do you want us to fill space under the Categories (I. Prof and Research integrity, II Broader Social and Enviro Impact, III Embedded Ethics) for the selected topic?
A: Yes, that is the goal. The first pass is to just sketch out the topics, like brainstorming, and the second pass is to add description and reasoning as to why those topics.
Q: Please clarify Stage 4, “Rank in order of importance”? Should the ranking be based on positive impact or negative impact?
A: Positive and negative impacts can very much depend on who you ask (we'll see this much more in terms of stakeholders.) Your ranking should really be based on the overall magnitude of the impacts, as opposed to whether or not they are positive or negative.
Lesson 1: Ethical Dimensions of Systems Research
Lesson 1: Ethical Dimensions of Systems Research mjg8Overview
Overview ksc17This first lesson is an overview of the Ethical Dimensions of Systems Research (EDSR), providing general terminology and approach to understanding the following case studies. The EDSR program describes how to recognize and evaluate ethical issues in research procedure and conduct, in the consideration of broader public and environmental impacts, and as values become embedded in research and analysis itself. Because common topics, types, and methods for ethical recognition and analysis are applied across all of the case modules, students should develop a set of tools for critical reflection on various issues of ethical importance. As developed in the EDSR approach, three main categorical distinctions for research ethics used here are broader social and political impacts (extrinsic ethics), research practice and conduct (procedural ethics), and embedded values (intrinsic ethics). By showing where and how to look for these types of ethical issues, the EDSR approach helps practitioners to anticipate where ethical issues may arise in a given research and/or application context.
Lesson Objectives
- Reflect on the scope of ethical principles as they apply to this course.
- Distinguish between ethical categories and ethics versus values.
- Define ethical terms, particularly as they apply to an ethical analysis of systems.
What is due for Lesson 1?
This lesson will take us one week to complete. Please refer to the Course Syllabus for specific time frames and due dates. Specific directions for the assignment below can be found within this lesson.
| Requirements | Assignment Details |
|---|---|
| To Do | Familiarize yourself with all the Lesson 1 Readings and assignments. |
| Read | Week 1:
|
| Assignment | Week 1:
|
A note on using "Ethics Tools"
This educational module provides users with concepts and examples for the development of tools for learning ethical analysis. "Ethics tools" are used to identify and design towards optimal solutions that satisfy a wide variety of ethical dimensions.
Whether you are a student or instructor, you will be able to interact with this module and learn more about other resources available on the specific topics under consideration. Users of this module, and any module within the Ethical Dimensions of Coupled Energy and Environment Systems Research series, are enhancing and refining their moral literacy by expanding their knowledge of ethical concepts and in considering examples and cases where ethical reasoning is required.
Expanding your knowledge of ethical concepts and studying of examples will help to enhance your ethical literacy.
We present here an approach that attempts to help you find firm footing in engaging and responding to questions concerning ethical and moral behavior encountered in the production and application of systems research. However, we understand that any approach will fall short on being a universally applicable approach to all contexts in research ethics. Further, while we focus on concepts particular to the production of knowledge (i.e., scientific research), many of these issues are also critical to industry, the public, and
One issue always worthy of consideration concerns addressing, “who bears the burden of intended and unintended consequences of our research?” Another issue that requires particular care in attention is in assessing the broader social impacts of research, particularly during the formation of the research itself.
Questions?
If you have any questions, please post them to the General Questions discussion forum (not email), located under the Communicate tab or the Lesson tab in Canvas. Your instructor will check that discussion forum daily to respond. While you are there, feel free to post your own responses if you are able to help out another student.
Part 1 - Ethics in Systems Research
Part 1 - Ethics in Systems Research ksc17
First, think about this scenario...
Let's say that, in a particular year, the climatic conditions in the U.S. produce significant droughts for certain regions in the Midwest. In this scenario, these severe droughts happen in regions that typically expect a significant amount of rainfall every year to support the extensive growth of corn. This lack of rainfall causes a near-complete failure of the corn crops in the region, which grows the most corn per unit area in the world. This failure of crops leads to increased prices in corn products and other foods that use corn as feed (chicken, beef, even fish). But this drought also leads to a sudden jump in price because corn is used as the main feedstock for brewing most of the ethanol that goes into our gas tanks ("up to 10% ethanol per gallon"). Now, let's think about how this impacts prices at the pump and at the grocery store. Prices per gallon or per pound go up for everyone that buys these products. However, if we consider the increase in cost to the consumer is, say, an increase of $1.00 per gallon or pound, that $1.00 per gallon or pound is four times the percentage of someone's income that makes $30,000 per year than it is for someone that makes $120,000 per year. Also, as a result of the drought, the price of the white corn that is used to make tortillas, a main food staple in Mexico, goes up. The white corn crop might not even be impacted by the drought, but because the price of white corn is tied to the price of yellow corn, used to feed livestock and brew biofuels, the price of this common food staple also goes up.
Having considered this scenario, what do you think about it? Is there something here we can describe as a better or worse decision about using corn for ethanol? Is there something good or bad about food prices competing directly with fuel prices? These questions do not have simple answers.
Engaging complex systems
Engaging complex systems, whether they are tied to energy or environment, requires significant investigation and research support. This applies to engagement through politics and economics as well as it does with science and engineering.
The development of sustainability strategies and the technological and scientific research in the support and pursuit of renewable energy require rational and well thought through processes of evaluation. These well thought through processes of evaluation form a basis of research practice that is common to both engineering and science. Complex systems also often require multidisciplinary approaches to addressing a variety of questions and concerns, usually towards a framework of problem-solving. While one might not be engaged specifically in the scientific aspects of a complex system, the need for research and further discovery is needed in engineering, economics, policymaking, intellectual property, ecology, etc. For the purposes of this module series, we consider anyone conducting research into some aspect of complex systems to be engaged in "systems research." Further, whether one is conducting basic research on materials or looking at the global economic implications of sea level rise, one needs to be aware of the ethical dimensions of the systems they are researching. The modules of this series investigate various ethical issues that arise in the research of energy and environment systems.
Energy and Environment Systems affect Human Systems
Complex systems do not always imply environment or human systems, which implicitly require an ethical analysis and treatment. However, all of the modules in this series do involve some aspect of environmental systems and some aspect of energy systems. And energy systems, by their very definition, involve human systems.
1.1 Research Ethics
1.1 Research Ethics ltb103Scientific Research and Social Processes
All aspects of scientific research relate, in some manner, to social processes and are subject to the constraints of law and civil behavior that we expect from any public or private undertaking. Scientific research comprises more than just studies within a lab, as it can also describe advances in engineering, technical and computational developments, applying science to meet public needs, using technical information to guide policy, and other similar areas where a scientific approach is being used to address needs for new knowledge and insight into problems and curiosities.
The production of scientific research is tied to politics, social needs, public funding, venture capital, human health, environmental security, and economic development, as well as many other concerns of human society. As such, scientific research itself is subject to many forces and constraints working it, constraints which shape research questions, methods, and outcomes. Understanding and determining appropriate responses to many of these constraints requires a broad understanding of research ethics.
All scientific research is subject to social forces, therefore all research necessitates the consideration of ethics.
Research Ethics
Research ethics, thus: are a matter of responsible professional conduct fitting to the norms of a research community (procedural ethics); require a consideration of the broader social, political, and economic impacts (extrinsic ethics); and, point to where (social, personal, institutional) values and preferences become embedded in the analytical inputs and outputs of research itself (intrinsic ethics). A comprehensive consideration of research ethics requires a critical analysis of the procedural, extrinsic, and intrinsic aspects of the research or outputs under consideration. Goals for learning ethics include the identification and application of ethical tools for prescribing optimal solutions, the development of moral literacy, awareness of stakeholders, and the minimization of risk.
1.2 Considering Consequences
1.2 Considering Consequences ltb103
Making Good Choices
Understanding how to make good choices as practitioners and leaders in the fields of renewables and sustainability will require both scientific knowledge and an awareness of the various positions along with projected trade-offs. These types of analyses require the consideration of more than technological optimization or basic costs and benefits; as numerous cases demonstrate, they often require the deeper consideration of ethical issues and embedded values. Not understanding these ethical issues and embedded values in the production of research and professional application of training can lead to outcomes that are unjust, increase risk, change economic relationships.
Not paying attention to ethical norms and proper research conduct can impact careers.
Impacts on Career
Careers can be directly impacted by ethical violations. Tenured jobs are lost over research ethics violations; foreign nationals can be deported over non-compliance when researching on government funds; entire labs have been closed due to ethics violations.
Ethical Comprehension is Not Easy
Ethics can be tricky, particularly when a practitioner researcher may be representing both personal interests and organizational interests in the same role (such as a reviewer of grant applications). It is not always obvious what is right and wrong behavior in certain situations, such as in considering conflicts of interest, or whether one can remove bias in reviewing the work of a friend or the work of someone from an opposing viewpoint. The key is to learn about ethics and where to go to learn more–find someone you can talk with about the issues at hand.
1.3 Ethical Dimensions of Systems Research (EDSR)
1.3 Ethical Dimensions of Systems Research (EDSR) ltb103Ethics of Systems Research
The Ethical Dimensions of Scientific/Systems Research (EDSR) approach describes how to recognize and evaluate ethical issues in research procedure and conduct, in the consideration of broader public and environmental impacts, and as values become embedded in research and analysis itself. Because common topics, types, and methods for ethical recognition and analysis are common across many cases of scientific research and technical application, it is efficient and helpful to develop a set of tools for critical reflection on various issues of ethical importance.
The EDSR Approach
As developed in the EDSR approach, three main categorical distinctions for research ethics used here are 1) broader social and political impacts of research (extrinsic ethics), 2) research practice and conduct (procedural ethics), and 3) embedded values within research (intrinsic ethics). By showing where and how to look for these types of ethical issues, the EDSR approach helps practitioners to anticipate where ethical issues may arise in a given research or application context.
| Type of Ethics in Research | Description |
|---|---|
| Ethics Extrinsic to Research - Social/Political | NSF broader impacts criteria, social justice issues, S&T policy, policy implications, improving representation and distribution |
| Ethical Research Procedure - RCR/Professional | Responsible conduct of research, professional codes, conflicts of interest, treatment of human & animal subjects, informed consent |
| Ethics Intrinsic to Research - Analytical/Technical | Embedded values, parameterizations, theory selection, error analysis, global assumptions, outliers, data cleaning |
Ethics Requires Comprehension and Critical Thinking
Research ethics is not a matter of memorization of rules about proper behavior. Rather, it is important to approach learning research ethics as the skill of being able to derive the ethics of a given situation, by asking similar key questions across multiple situations. While ethical contexts and possibilities are vast for a field like sustainability or renewable energy, we can still maintain a reasonable handle on things by addressing some core principles.
Part 2 - Research Integrity
Part 2 - Research Integrity mjg8Normative Procedures and Processes in the Production of Research
There are the ethical considerations of how to proceed in the course of conducting any manner of scientific research. These are referred to as procedural ethics and signify the typical areas of responsible conduct of research, including issues such as falsification of data, fabrication of data, and plagiarism, as well as considerations around conflicts of interest, research misconduct, treatment of human and animal subjects, and responsible authorship. While there are many considerations around procedural ethics that are highly relevant to nanotechnology research, such as fabrication of experimental results, responsible authorship amongst colleagues, etc., for the most part, the same type of considerations of procedural ethics will appear in nanotechnology as they do is most any other field of science and engineering research.
Nine Areas to Consider in Responsible Conduct of Research
According to the National Office for Research Integrity, there are nine main areas to consider in the Responsible Conduct of Research:
- Data Acquisition, Management, Sharing and Ownership
- Conflict of Interest and Commitment
- Human Subjects
- Animal Welfare
- Research Misconduct
- Publication Practices and Responsible Authorship
- Mentor / Trainee Responsibilities
- Peer Review
- Collaborative Science
“Federal and institutional research misconduct policies define research practices that researchers must avoid.”
"Authorship and collaboration problems are a serious threat to the research enterprise and to the motivation of young scientists, especially when they involve misappropriation of ideas and data."
"Every job occupied, every grant received and every paper published by someone who engages in misconduct deprives at least one honest scientist of an opportunity to which he or she was entitled.”
2.1 Falsification, Fabrication, Plagiarism
2.1 Falsification, Fabrication, Plagiarism ltb103Basic Research Misconduct
Known as the three “cardinal sins” of research conduct, falsification, fabrication, and plagiarism (FFP) are the primary concerns in avoiding research misconduct. Any divergence from these norms undermines the integrity of research for that individual, lab, university/corporation, and the field as a whole.
Falsification
Falsification is the changing or omission of research results (data) to support claims, hypotheses, other data, etc. Falsification can include the manipulation of research instrumentation, materials, or processes. Manipulation of images or representations in a manner that distorts the data or “reads too much between the lines” can also be considered falsification.
Fabrication
Fabrication is the construction and/or addition of data, observations, or characterizations that never occurred in the gathering of data or running of experiments. Fabrication can occur when “filling out” the rest of experiment runs, for example. Claims about results need to be made on complete data sets (as is normally assumed), where claims made based on incomplete or assumed results is a form of fabrication.
Plagiarism
Plagiarism is, perhaps, the most common form of research misconduct. Researchers must be aware to cite all sources and take careful notes. Using or representing the work of others as your own work constitutes plagiarism, even if committed unintentionally. When reviewing privileged information, such as when reviewing grants or journal article manuscripts for peer review, researchers must recognize that what they are reading cannot be used for their own purposes because it cannot be cited until the work is published or publicly available.
“Cases of misconduct in science involving fabrication, falsification, and plagiarism breach the trust that allows scientists to build on others’ work, as well as eroding the trust that allows policymakers and others to make decisions based on scientific and objective evidence. The inability or refusal of research institutions to address such cases can undermine both the integrity of the research process and self-governance by the research community.”
2.2 Conflicts of Interest
2.2 Conflicts of Interest ltb103Multiple Interests
A conflict of interest arises when one’s judgment is compromised based on connections, favors, or competing interests, and/or when one’s position is used to gain favor or extra rewards. Conflicts of interest are not always immediately obvious, nor does a conflict of interest in-and-of-itself constitute wrongdoing.
Multiple Conflicts
Personal obligations, connections to other institutions, participation in other research programs, or drawing from competing pools of funding can influence one’s capacity to be impartial in a given situation. Being impartial is as necessary in producing and reviewing scientific research as it is in jury selection in a court of law or in the practice of medicine. Perfect impartiality is not really possible, as we are always assessing a situation based on the unique culmination of our experiences and perspectives. Nevertheless, there are experiences, perspectives, and connections that may cause us to not be able to think outside of our own interests. Knowing when we are or are not able to think outside of our other interests is crucial to understanding how to avoid possible conflicts of interest. It is important to note that having an opposing viewpoint does not constitute a conflict of interest and is a cornerstone to robust reviews.
“Authors should also realize that disclosing financial support does not automatically diminish the credibility of the research. However, failure to disclosed a competing financial interest that is subsequently discovered immediately opens the authors to questions about objectivity.”
Corrosions to Impartiality
Problems that can erode impartiality in a given analysis should be explicitly stated and made transparent, often arising when different sources of resources are being invested in research. Using public funds for research in support of research for a private company can also be problematic. Conflicts of interest can also skew one’s perspective towards seeing or interpreting results that may not be there, or in ignoring data that are there. For example, conflicts can arise when companies are determining the health risks their products may pose, such as the risks of smoking being tested by tobacco companies.
The key to avoiding possible conflicts of interest is transparency of plausible interest in a given situation. Reveal all relevant connections to the case at hand. Recuse oneself from the case at hand if necessary.
2.3 Care for Data
2.3 Care for Data ltb103Data are Fundamental to Research
Data are the core of research. The recent requirements by federally funded grants to develop data management plans summarize the imperatives here, including long-term storage of data, sharing of data, and other aspects of assuring data integrity, continuity, and federation. Data is considered part of the investment into research, in that it should be accessible to future researchers. Further, data or samples may be subject to other forms of analysis in the future, thus the future potential for data should also be taken into consideration when implementing management plans. As well, data security and privacy of subject data is of key importance to the protection of research subjects.
Interoperability
Interoperability of data, particularly across research institutions, is crucial in conducting collaborative research across a large network, such as in large scale public health networks. Paying attention and adhering to meta-data standards (information about data types and data structures) is of growing importance in sharing data between research communities, across disciplines, between regulatory institutions, governmental offices, and NGOs.
Data Standards and Storage
Attention to research data standards is crucial to avoiding cases such as when the thrust of the Mars Climate Orbiter was using metric unit Newtons (N) while the NASA ground crew was using the Imperial measure Pound-force (lbf), a mistake which caused the subsequent loss of the $500 million (US) satellite.
National Science Foundation (NSF) Data Sharing Policy
Investigators are expected to share with other researchers, at no more than incremental cost and within a reasonable time, the primary data, samples, physical collections, and other supporting materials created or gathered in the course of work under NSF grants. Grantees are expected to encourage and facilitate such sharing.
2.4 Responsible Authorship
2.4 Responsible Authorship ltb103Identification of Authorship
The identification of authors, the ordering of authors, the speed of publication of research findings, modes of research dissemination, acknowledgments, relevancy, and other aspects of publishing and disseminating findings. Proper citations are the foremost responsibility of authorship in the sciences. It is extremely important to adequately and accurately cite literature to give credit to those who have conducted research before you. It is better to be cautious and cite when unsure to avoid even the appearance of plagiarism.
Credit where Credit is Due
Authorship credit should go to anyone providing a substantial intellectual contribution to the paper. Disciplines have a variety of traditions in who should be counted as an author. This is also the case for the order of authorship, particularly who gets to be listed as the first and last author, as many labs and/or fields have their own best practices for listing authors. This is a conversation worth having with an advisor at some point during graduate training. Provide an acknowledgment for those individuals and organizations that provided advice, revision suggestions, material resources, and funding.
Discuss Authorship Upfront
It is worth discussing authorship at the beginning of a project to avoid conflicting expectations when it comes time to publish. All authors must be ready to defend the integrity of the research and the findings presented within. On multi-authored papers, individuals are responsible for their contributions.
“Authorship and collaboration problems are a serious threat to the research enterprise and to the motivation of young scientists, especially when they involve misappropriation of ideas and data.”
Responsible Publishing
Responsible authorship also must consider membership within a research community. Avoid fragmentary publications, where research findings can be presented in a comprehensive format, i.e., publishing fewer results per paper to increase the number of personal publications. Further, avoid simultaneous manuscript submissions to multiple journals. (Most journals have policies against simultaneous submissions.) Publish substantial findings, first and foremost, in a timely fashion. As well, be fair in the peer review process.
Part 3 - Broader Impacts
Part 3 - Broader Impacts ksc17Broader Social, Political, and Environmental Impacts
Coupled Energy and Environment Systems present significant challenges and opportunities to questions concerning the broader impacts on societal (economic, political, cultural) and environmental (ecological, biological, land-use) domains. This is where ethical considerations become more specific to the content and context of energy and environment systems research as it extends to and applied in the world outside of the laboratory.
Broader Impacts Criteria
The NSF broader impacts criterion (i.e., the second merit criterion) poses many similar questions in the area of extrinsic ethics, and provides a useful framework for beginning to think about how the research applies to societal and environmental concerns, particularly in the formulation of research agendas and in thinking about the implications a specific line of research may imply for policymakers, regulatory agencies, and civil society organizations (CSOs).
Further considerations of issues around the distribution of benefits and harms of energy and environment systems need to also be taken into account, to assure, for example, that the output of systems benefits only all sectors of society.
Issues to consider about ethics concerning broader impacts
- What are the public policy and/or legal implications of research?
- Are there questions around intellectual property?
- Is the research potentially transformative of society and/or economy?
- Are there dimensions of social justice that need to be considered?
- Are there educational dimensions to the research?
- Does the research take into account underrepresented groups?
- Are there issues about privacy that need to be considered?
- Are risks to health and environment being adequately considered in a precautionary manner?
- Have long-term considerations about future impacts been taken into account?
3.1 Policy Implications
3.1 Policy Implications ltb103Research Impacts Policy
Scientific research can and often does impact public policy in a manner of ways. Understanding that one’s research may be applicable to informing public policy decisions or be subject to regulatory mechanisms is crucial. There are many three main intersections between policy and research that need to be considered, such as policy and regulation about the scientific research and/or technology (policy of science, or science policy); scientific research and technological capacity often informs crucial decision-making processes, such as determination of risks and evaluation of responses (science for policy); and, institutional policies in support of funding and conducting research (research management policy).
Regulatory Implication
Energy and Environment Systems present some significantly challenging scenarios for current and future generations. Further, this type of research is often used to direct regulatory policies, such as in the choice of national sustainable energy strategies and analysis of contingencies, etc.
Application Implications
Energy and environmental systems need to be co-guided to assure public and environmental safety as well as effective production in meeting demands. How, where, and when energy systems research will be applied will often come under the consideration of public officials and agency specialists.
"Science is organized knowledge. Wisdom is organized life."
Research for Decision-making
Scientific research is often put to use in decision-making processes. Further, science often informs society about risks that need to be avoided. Of course, much debate can arise from what to do about this new knowledge, such as has often been the case with climate change. Analyses, information, data, expert opinion, reports to congressional commissions, models, projections, solutions, new directions for economic development, etc., all require considering implications.
3.2 Intellectual and Personal Property
3.2 Intellectual and Personal Property ltb103Property Rights
The coupled and interconnected nature of energy and environment systems will present many unique legal challenges, particularly where regulatory issues cross paths with land use changes, intellectual property rights, licensing agreements, public investments, commercialization, international trade, and distribution. Some of these concerns will also be covered by wider policies and regulation of energy markets, assessment of environmental impacts, and institution specific requirements.
Global Increase in Patents
New patents in energy are being filed globally on a daily basis, establishing a rapidly changing legal framework around ownership of and access to new energy technologies. The total (global) patent filings in alternative energy alone, "have increased at a rate of 10 percent per year starting in the 1990s and at a rate of 25 percent from 2001." (World Intellectual Property Organization, 2009) Questions also arise when considering how to license these technologies depending on location and development conditions. The rate of filing new energy related patents is projected to continue increasing over the next two decades, presenting significant opportunities and many uncertainties.
Public and Private Properties
Energy systems are quite diverse and can have a wide range of impacts on private and public property. Biofuels present significant opportunities for a low-carbon impact production of energy, but they also will likely change how we manage forests, crops, and other large-scale feedstock production. Wind energy technologies, while promising, will continue to pose oppositions to their locations, such as impacts on property values, visual preferences, etc. Regardless of the specific technology, innovation, adoption, and licensing of energy technologies will inevitably require further nuance and distinction, often based along ethical considerations.
3.3 Changes in Economy and Society
3.3 Changes in Economy and Society ltb103Changes in Economic Production
Energy and environment science and technology present possibilities that could potentially transform the shape of economic production, output, market arrangements, etc. For example, if developments in renewable energy can begin to produce long-lasting and economically feasible means for producing reliable energy at significantly reduced price, competitive advantage will typically drive producers towards adoption of new energy production techniques, which could have broad-reaching implications for economic conditions globally.
Daily Functions
It is crucial to ask whether the research could impact how society functions on a day-to-day basis; for example, how we grow food, produce energy, etc. Energy innovations will certainly have sweeping impacts across many aspects of society, aspects and issues which need to be contemplated in the formulation of research and design trajectories, and not just after the fact of invention.
Public Understanding
The public understanding of energy and environment systems presents significant challenges, particularly in trying to communicate risks, challenges, etc. Further, rising to the challenge of a prepared “sustainable energy” workforce is very much a concern of K-Graduate education.
Social Production
Transformations in energy and environment systems will inevitably present challenging questions about economic growth, social welfare, and public goods, the education of both future energy and environment scientists, increases in public understanding of energy systems, etc. The full arrival of sustainable energy based manufacturing will also have profound effects on traditional modes of fabrication and production.
3.4 Social Justice
3.4 Social Justice ltb103The Common Good
Most people would tend to agree with the stance that our developments in science and technology should adhere to, or at least not be entirely counter to, our notions of the common good, not harming others, not causing further hardships, etc. After all, most people view science and technology as a positive force in society. However, this cannot always be assumed. Further, how we go about making sure society actually does benefit from innovations and new knowledge is not always straightforward, particularly in considering cutting edge research. There are three basic areas worthy of deeper analysis when considering the broader impacts of a given development trajectory.
Distributive Justice (equity)
Are the costs, harms, and benefits of nanotechnologies being distributed equitably over society? Can energy technology be used to improve the least well off first? Are certain populations more at risk from energy production than others (children, poor, elderly)?
Procedural Justice (due process)
How are decisions about energy and environment regulation being taken into account, and who is making the decisions and choices? If groups or individuals are going to be impacted by the development and application of certain energy technologies (i.e., stakeholders), are they included in the decision-making process? What sort of representation and proof of risk must an organization provide before moving forward with a new product or process?
Intergenerational justice (long-term)
Choices made now about infrastructure, investments, longevity, and risk can have implications for generations to come. For example, once the decision was made to develop nuclear technology, a choice was also made for many, many generations to follow. Infrastructure that is developed also needs to be maintained, or allowed to go to waste. All of these imply costs and opportunities (gained and lost) for decades, centuries, and in some cases, millennia.
Three main social justice concerns
- equitable distribution of benefits and harms
- fair and representative decision-making processes
- consideration of the needs of future generations
3.5 Risk and Precaution
3.5 Risk and Precaution ltb103Emerging Risks
Approaching any new territory in science and technology can present great payoffs and public goods, but it can also present daunting challenges that can change and shape international relations. For example, nuclear science and technology continue to present similar challenges to governments and populations across the world. Once certain knowledge or technology is produced, published, circulated, or otherwise manifested into the world, it cannot be undone.
Assessing Risks
Understanding and fully defining the risks of a given technical scenario require both an analysis of the science itself (see intrinsic ethics issues on handling of uncertainty), and a projection as to how the technology could potentially cause harm or otherwise negatively impact human well-being. Risk has two aspects that need to be considered when thinking about a project. Could the research or technology itself present any apparent or immediate risk? Could the technology increase the overall risk profile of a society?
What constitutes a viable risk assessment for energy and environment technologies? Precaution in the face of risk needs to be considered and taken into account in any case, and certain aspects of energy production can present an exceptional risk to human and environmental health. As such, regulation will need to be comprehensive, robust, and conservative with respect to risk projections.
The Precautionary Principle
Precautionary measures mandate that we proceed cautiously (but not necessarily slowly) and deliberatively in the face of high risks coupled with any uncertainties. The precautionary principle in its most simple expression suggests that we plan for worst-case scenarios in the face of high risks coupled with uncertainties. The main idea is that, when faced with taking risks (intended and unintended) that could affect a significant portion of the population or environment, we proceed through the process cautiously and deliberately. The precautionary principle should be invoked when high-risk, irreversible, or catastrophic situations are possible, even at a very low probability.
Part 4 - Embedded Ethics
Part 4 - Embedded Ethics ksc17Research Choices have Real World Implications

While considerations of procedural ethics require a framework of responsible research behavior, and extrinsic ethics requires an explicit consideration of broader impacts, intrinsic ethics requires a deeper analysis of how the research itself is constructed and where certain choices being made in the line of research embed value judgments and can impact real-world outcomes. For example, the handling of uncertainty and margins of error tend to be mathematical questions concerning the probability of a certain event to occur, yet, these uncertainties can determine real-world decisions about actions, regulations, etc. (Note: Choices made about intrinsic issues can have extrinsic impacts, as the two are intricately related.)
Embedded Values
The basic idea of intrinsic ethics concerns choices that seem to be only considered in mathematical or within the terms of the art, yet can embed certain values and result in different implications as to the application or future direction of the energy and environment knowledge. As well, ethics/values can be embedded in choosing not to pay attention to certain limits or parameters, i.e., in what is not being represented in a given analysis.
Reflexivity in Research
The means to address intrinsic ethics is through reflexive analysis (reflection based on values questions -> course correction) of research choices being made based on the kinds of questions highlighted here. This reflexivity should occur both while conducting research and while engaging in the peer review process.
Some issues to consider about the intrinsic ethics of coupled energy and environment systems
- How are standards of proof, errors, and uncertainties handled in a given analysis?
- What constitutes empirical adequacy and how consistent are results, over how many runs?
- What is the scope? Are some dimensions of the analysis oversimplified?
- What classification typologies are being used (ontologies)?
- How / what methods were selected?
- What went into the choice of research questions?
4.1 Framing of Research
4.1 Framing of Research ltb103
Embedded Ethical Choices
Values and ethics become embedded within the production of research, oftentimes at the very decision about research topic and question. Such decisions are rarely made within ideal conditions, where resources and time are of no issue. Research is done dependent on deadlines, budgets, peer review feedback, departmental resources, etc. How research is framed, the choice of explanatory frameworks and global assumptions about variables, and the explanations about causal relationships in a given model all present choices that can embed values about representative samples, as is a common question in biomedical or genetic research.
Choice of Research Questions
Research results are inevitably impacted by the scope and range of research questions. Context dependent values can impact problem choice; whether due to individual interests, funding agency interests, or broader societal interests, contextual values become interwoven into research practice. Further, choice of research question can also influence whether or not certain risks are taken into account, or are able to even be considered within the framework of a given nanotechnology research program.
If we knew what it was we were doing, it would not be called research, would it?
Frameworks and Global Assumptions
Interests of the researcher are reflected in accepting certain framework conditions, such as the representational limits of an analysis, or in choosing the values of certain variables, within a model, as being “more” representative of reality than a different variable, model, or limit.
Causal Explanations and Narratives
Causal explanations produce a conception as to what is happening within a given nanotechnology model or analysis. However, many simplifications and reductions are made just to make a model usable, and in doing so, there is no guarantee that a significant causal relationship does not go either unseen or unconsidered.
4.2 Empirical Adequacy and Simplicity
4.2 Empirical Adequacy and Simplicity ltb103
How Much Observation, How Simple, and Explanation?
Conducting and publishing research is a process of interpreting observations and describing the results. Questions about research and hypothesis formation point us in a specific direction and guide the interpretation of results. But how do we determine what we are seeing adequately supports our claims? How many observations do we need to make to assume our interpretation is correct? As well, does our research apparatus adequately support our ability to answer our research question in the detail or resolution necessary? How does an observation count if it does not fit our expected results?
Systems are Complex
Complex phenomena require complex models and descriptions. Not adding enough complexity to a research hypothesis could result in oversimplification of a situation, leaving out crucial thresholds or other limits in the system(s) under consideration. Often, in research, a compromise needs to be made, even for reasons of cost, between adequate observations and extremely comprehensive observations (such as sampling across a large site.) All of these choices can potentially lead to a false confidence in projections of model adequacy, which can result in real-world impacts.
The method of science depends on our attempts to describe the world with simple theories: theories that are complex may become untestable, even if they happen to be true. Science may be described as the art of systematic over-simplification—the art of discerning what we may with advantage omit.
Empirical Adequacy and Consistency
Were adequate tests conducted to assure the phenomena observed are consistent, is the study reproducible, or is the instrumentation working within viable parameters and/or limits of observation? As nanotechnology is an emerging field with increasingly finer tolerance, many observations and conceptions of adequacy can change over time.
Simplicity/Scope
What is the scope of the study under consideration? Is the study significantly comprehensive to be relevant to various conditions? Is there detail being lost through the over-simplification of a model or representation?
4.3 Standards of Proof and Handling of Uncertainty
4.3 Standards of Proof and Handling of Uncertainty ltb103Proof and Certainty
What constitutes certainty about a given observation? How many times must it be observed to be considered “valid proof” of a particular event? What is considered to be statistically significant for a given event to be occurring? Answering these kinds of questions seems a somewhat arbitrary matter, but consider that what is considered proof in one context is considered a “shadow of doubt” in another context. As well, being wrong in some cases will cost more than being wrong in other cases (as we see in the politics of climate science).
Standards of Proof and Handling of Uncertainties
Standards of proof often incorporate social values. As Anderson writes, “Social scientists reject the null hypothesis (that observed results in a statistical study reflect mere chance variation in the sample) only for P-values\5%, an arbitrary level of statistical significance. Bayesians and others argue that the level of statistical significance should vary, depending on the relative costs of type I error (believing something false) and type II error (failing to believe something true).
Type I and Type II errors:
Type I error: (false positive)
where the test produces a positive result when the negative result is the case, such as in a medical patient testing positive for a disease they do not have. In terms of data analysis, new information falsely changes previous estimates of uncertainty.
Type II error: (false negative)
where the test produces a negative result when the positive result is the case, such as when a medical patient has an ailment that goes undetected by test(s). Regarding data, new information does not correctly change previous estimates of probability of occurrence.
Both types of errors present different costs in different contexts, and result in a choice about values.
In medicine, clinical trials are routinely stopped and results accepted as genuine notwithstanding much higher P-values, if the results are dramatic enough and the estimated costs to patients of not acting on them are considered high enough” (Anderson 2009). Type I and II errors can have significant impacts in energy applications, and will require mindful foresight and consideration both by researcher and peer-reviewers.
4.4 Methods Choices and Classification Strategies
4.4 Methods Choices and Classification Strategies ltb103Choosing Research
Oftentimes when we travel, we determine where we want to go before we know how we are going to get there. Much the same can be said how we approach research. We know the kind of knowledge we would like to gather, or effect we would like to tease out of a certain set of materials, before we know how we are going to get there. Methods selection itself can shift over the duration of the experimental process (though, hopefully not during an experiment!) of a given investigation. As we travel through the research process, we gather data about observations. This data is shaped by our selection of methods, and also conforms to our classification schemes.
As researchers, how we collect data and how we choose to categorize data are two other processes through which values become embedded in research. This suggests that we should pay close attention to how we justify our methods selection, understand the limitations of what our methods allow us to argue, and are able to justify our categorical and organizational choices.
Rumour has it that the gardens of natural history museums are used for surreptitious burial of those intermediate forms between species which might disturb the orderly classifications of the taxonomist.
Methods Selection
Choice of methods for either data collection and/or analysis reflects the context of the researcher and impact significantly the intellectual merit and framework of the nanotechnology research. “The methods selected for investigating phenomena depend on the questions one asks and the kinds of knowledge one seeks, both of which may reflect the social interests of the investigator” (Anderson 2009). Also, certain methods may not be as applicable in a given situation as others. Comprehensive assessment of methods selection should be clearly stated and justified in the research proposal, included an analysis of possible methods biases.
Classifications and Ontologies
The classification of an observation or phenomena, particularly when the classification strategy is being developed, the adequacy of certain definitions, the granularity of classifications, etc., can have significant impacts in later developments, lead to certain oversights, and even lead to misleading conclusions.
Lesson Resources
Lesson Resources ksc17Assignment Suggestions
I want you to think of the approach and cases we cover in this class as more like "ethics forensics" and how to apply tools for ethics investigations, as opposed to learning strict ethical theory, moral laws, etc. Perhaps another way to put it, in pop culture terms, is that our course is more like a detective show than a courtroom drama.
As such, I don't expect you to have the absolutely correct answers or perfect choices for examples. I want you to try ideas out, experiment with different hypotheses, suggest various paths of action, etc. I want you to notice things, looking closely at important details. (You certainly may not have time to look at all of the details; but, in time, you will begin to notice things as you go.)
The matrix assignments are all intended towards helping you discover possible ethical issues when evaluating a given topic of interest – in this case, in renewable energy and sustainability-related issues. Each of the columns represents a different dimension in which ethical issues can be viewed. You can take a topic, as broadly or narrowly defined as you like and apply this matrix. It is best to stick with one topic at a time, i.e., the same topic evaluated according to each column. Complete the assignment in column form or written out as paragraphs or in some combination... as long as I can recognize what you are doing, then that should work.
Suggestions for completing Matrix 1
The first column should get us thinking about the issues concerning professional and research integrity that help keep processes safe, transparent, honest, etc.
The second column should prompt us to think about questions concerning the work that could affect other people, society, the environment, and other broader impacts.
The third column requires thinking closely about the processes and technologies that can embed certain ethical choices, perhaps without even realizing it. This kind of analysis is a bit tricky and requires an understanding of the professional and/or research practices themselves. The choices we make as professionals can have consequences we may not have considered.
Let's try an example: Consider public architecture in the U.S. before the Americans with Disabilities Act of 1990. Architects were free to design public buildings that were difficult, if not impossible, to access for citizens in wheelchairs. Leaving out consideration of access to a public space by not just people in wheelchairs, but pretty much anyone not on two good legs, produces significant inequity in opportunities and access to public resources for that group. Using the first column (professional and research integrity), we would say that architects at the time were following the best practices of their field, meeting code and other professional expectations, so all was ok there. Using the second column, we would begin to see, however, that a significant sector of society at any given point (even people on crutches, with a broken leg, who may at other points be bi-pedal) may not be able to access a public building (courthouse, town hall, library, etc.) without significant difficulty, if at all. Using the third column, we would see that architectural practice and design of public spaces did not take into account the wide variety of human variability, and the only way to change that is to change that practice of the design of public spaces. After 25 years of significant protest (which began with the wave of returning injured soldiers returning from Vietnam), regulation and sets of guidelines were designed that became law in 1990. We can see this as a process in that the ADA goes back and significantly changes the first column which now makes following these considerations professional responsibility, and not following these regulations will not pass inspection. This is a historical process that reflects these three dimensions, but we can, and will, use it in a variety of areas.
Lesson 1 References
Ethical Dimensions of Scientific Research and supporting theory
Davis, M. 2006. Engineering ethics, individuals, and organizations. Science and Engineering Ethics 12 (2):223-231.
Devon, Richard. 1999. Toward a social ethics of engineering: the norms of engagement. Journal of Engineering Education 88 (1):87-92.
Holbrook, J. Britt. 2005. Assessing the science–society relation: The case of the US National Science Foundation’s second merit review criterion, Technology in Society 27:437-451.
Schienke, Erich, Seth Baum, Nancy Tuana, Ken Davis, and Klaus Keller. 2010. Intrinsic Ethics Regarding Integrated Assessment Models for Climate Management. Science and Engineering Ethics.
Schienke, Erich, Michelle Stickler, and Nancy Tuana. forthcoming. Assessment of Impacts of an Educational Intervention on Learning Responsible Conduct of Research Principles. Journal of Empirical Research on Human Research Ethics.
Schienke, Erich, Nancy Tuana, Don Brown, Ken Davis, Klaus Keller, James Shortle, Michelle Stickler, and Seth Baum. 2009. The Role of the NSF Broader Impacts Criterion in Enhancing Research Ethics Pedagogy. Social Epistemology 23 (3-4):317–336.
Shrader-Frechette, K. S. 1985. Science policy, ethics, and economic methodology: some problems of technology assessment and environmental impact analysis. Dordrecht; Boston, Hingham, MA: D. Reidel Pub. Co.
Shrader-Frechette, K. S. 1985. Risk analysis and scientific method: methodological and ethical problems with evaluating societal hazards. Dordrecht; Boston Hingham, MA: D. Reidel.
Shrader-Frechette, K. S. 1994. Ethics of scientific research. Lanham, Md.: Rowman & Littlefield.
Star, Susan Leigh. 1985. Scientific Work and Uncertainty. Social Studies of Science 15 (3):391-427.
Research Integrity and Responsible Conduct of Research
Committee on Assessing Integrity in Research, Environments, Council of National Research, and Integrity, United States. Office of the Assistant Secretary for Health. Office of Research. Integrity in Scientific Research: Creating an Environment That Promotes Responsible Conduct. National Academies Press 2002.
Committee on Science, Engineering, Policy Public, Sciences National Academy of, Engineering National Academy of, and Medicine Institute of. 2009. On being a scientist: a guide to responsible conduct in research. Washington, D.C.: National Academies Press.
Kalichman, M. 2002. Ethical decision-making in research: Identifying all competing interests - Commentary on “Six Domains of Research Ethics”. Science and Engineering Ethics 8 (2):215-218.
Kalichman, M. 2003. Ethics and the scientist. Scientist 17 (20):43-43.
Kalichman, M. 2009. Evidence-Based Research Ethics. American Journal of Bioethics 9 (6-7):85-87.
Steneck, N. H. 2006. Fostering integrity in research: definitions, current knowledge, and future directions. Science and Engineering Ethics 12 (1):53-74.
Steneck, N. H., and R. E. Bulger. 2007. The history, purpose, and future of instruction in the responsible conduct of research. Academic Medicine 82 (9):829-834.
Steneck, Nicholas H., and Integrity, United States. Office of the Assistant Secretary for Health. Office of Research. 2004. ORI Introduction to the responsible conduct of research. Rockville, Md.; Washington, DC: U.S. Dept. of Health and Human Services, Office of Research Integrity]; For sale by the Supt. of Docs., U.S. G.P.O.
Teaching Research Ethics
Davis, M. 2006. Integrating ethics into technical courses: Micro-insertion. Science and Engineering Ethics 12 (4):717-730.
Herkert, Joseph. 2005. Ways of thinking about and teaching ethical problem solving: Microethics and macroethics in engineering. Science and Engineering Ethics 11 (3):373-385.
Herkert, J. R. 2001. Future directions in engineering ethics research: microethics, macroethics and the role of professional societies. Science and Engineering Ethics 7 (3):403-14.
Hollander, Rachelle D., Deborah G. Johnson, Jonathan R. Beckwith, and Betsy Fader. 1995. Why teach ethics in science and engineering? Science and Engineering Ethics 1 (1).
Hollander, R. D. 2001. Mentoring and ethical beliefs in graduate education in science. Commentary on ‘Influences on the ethical beliefs of graduate students concerning research’. (Sprague, Daw, and Roberts). Science and Engineering Ethics 7 (4):521-4.
Kligyte, Vykinta, Richard T. Marcy, Sydney T. Sevier, Elaine S. Godfrey, and Michael D. Mumford. 2008. A Qualitative Approach to Responsible Conduct of Research (RCR) Training Development: Identification of Metacognitive Strategies. Science and engineering ethics. 14 (1):3.
Kligyte, Vykinta, Richard T. Marcy, Ethan P. Waples, Sydney T. Sevier, Elaine S. Godfrey, Michael D. Mumford, and Dean F. Hougen. 2008. Application of a Sensemaking Approach to Ethics Training in the Physical Sciences and Engineering. Science and engineering ethics. 14 (2):251.
Korenman, Stanley G., Alan C. Shipp, Aamc Ad Hoc Committee on Misconduct, and Ethics Conflict of Interest in Research. Subcommittee on Teaching Research. 1994. Teaching the responsible conduct of research through a case study approach: a handbook for instructors. Washington, D.C.: Association of American Medical Colleges.
External Resources
Institute of Electrical and Electronics Engineers (IEEE)
“Through its Ethics and Member Conduct Committee, IEEE aims to: foster awareness on ethical issues; promote ethical behavior among those working within IEEE fields of interest; create a world in which engineers and scientists are respected for exemplary ethical behavior.” Review the IEEE Code of Ethics. • Review ethics cases.
National Academy of Engineers (NAE)
“Founded in 1964, the National Academy of Engineering (NAE) is a private, independent, nonprofit institution that provides engineering leadership in service to the nation. The mission of the National Academy of Engineering is to advance the well-being of the nation by promoting a vibrant engineering profession and by marshaling the expertise and insights of eminent engineers to provide independent advice to the federal government on matters involving engineering and technology.”
Within the NAE
“The overarching mission of Center for Engineering Ethics and Society (CEES) is to engage engineering leaders in examining the ethical and societal challenges of engineering and bringing them to the attention of the engineering profession and society.”
Online Ethics Center
“The Online Ethics Center (OEC) is maintained by the National Academy of Engineering (NAE) and is part of the Center for Engineering, Ethics, and Society (CEES). The CEES started in April 2007 and plans conferences and other research and educational activities under the direction of the CEES advisory group.”
External Resources
External Resources ksc17Institute of Electrical and Electronics Engineers (IEEE)
“Through its Ethics and Member Conduct Committee, IEEE aims to: foster awareness on ethical issues; promote ethical behavior amongst those working within IEEE fields of interest; create a world in which engineers and scientists are respected for exemplary ethical behavior.” Review the IEEE Code of Ethics.
National Academy of Engineers (NAE)
“Founded in 1964, the National Academy of Engineering (NAE) is a private, independent, nonprofit institution that provides engineering leadership in service to the nation. The mission of the National Academy of Engineering is to advance the well-being of the nation by promoting a vibrant engineering profession and by marshalling the expertise and insights of eminent engineers to provide independent advice to the federal government on matters involving engineering and technology.”
Within the NAE
“The overarching mission of Center for Engineering, Ethics and Society (CEES) is to engage engineering leaders in examining the ethical and societal challenges of engineering and bringing them to the attention of the engineering profession and society.”
Online Ethics Center
“The Online Ethics Center (OEC) is maintained by the National Academy of Engineering (NAE) and is part of the Center for Engineering, Ethics, and Society (CEES). The CEES started in April 2007 and plans conferences and other research and educational activities under the direction of the CEES advisory group.”
Lesson 2: Professional and Research Integrity
Lesson 2: Professional and Research Integrity mjg8Overview
Overview ksc17
Overview
This section of the course will satisfy the requirements of the Scholarship and Research Integrity (SARI) program, covering responsible conduct of research (RCR) issues, such as: the acquisition, management, sharing, and ownership of data; publication practices and responsible authorship; conflicts of interest and commitment; research misconduct (falsification, fabrication, and plagiarism); peer review; collaborative science; mentor/trainee responsibilities; human subjects protections; and animal welfare.
Lesson Objectives
- Build knowledge and comprehension of procedural ethics.
- Define, recognize, give examples, and interpret situations through an analysis of procedural ethics.
- Identify and classify where conflicts of interest, and other procedural ethics, may occur in given examples.
- Explain and defend reasoning for claims.
What is due for Lesson 2?
This lesson will take us one week to complete. Please refer to the Course Syllabus for specific time frames and due dates. Specific directions for the assignment below can be found within this lesson.
| Requirements | Assignment Details |
|---|---|
| To Do | Read and familiarize yourself with all the Lesson 2 materials. |
| Read | Week 2:
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| Assignment | Week 2:
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Questions?
If you have any questions, please post them to our Questions? discussion forum (not email), located under the Discussions tab in Canvas. I will check that discussion forum daily to respond. While you are there, feel free to post your own responses if you, too, are able to help out a classmate.
Part 1 - Research Integrity
Part 1 - Research Integrity ksc17Scholarship and Research Integrity (SARI) program here at Penn State is an initiative for enriching and expanding education and support for issues facing graduate researchers in every field.
"Penn State is committed to modeling, teaching and promoting responsible conduct of research and scholarship within the University community. All scholars, from graduate students to senior investigators, confront ethical issues in their professions. The issues that require attention are constantly changing. While advances in technology and the ability to interact with colleagues across the globe have opened up vast opportunities for advancement, they have also created new challenges for the responsible conduct of research and scholarship.
Advance discussion of core principles and possible scenarios can help inform choices frequently made under pressure, helping to eliminate poor decisions. Penn State recognizes that we have a unique opportunity —and a responsibility—to address these issues in a proactive and deliberate manner."
The core principles of research integrity concern the avoidance of research fraud. Research fraud can be perpetrated in at least three main ways, namely through the falsification of the research record, the fabrication of data in the research record, and/or plagiarism (the representation of other(s) work without reference as your own). All three of these infractions of research integrity can have damaging results to individuals, even leading to wrongful death in some cases. Further, such situations can corrode overall public trust of scientific research itself, including research institutions.
1.1 Falsification
1.1 Falsification ltb103A familiar scene of falsification of evidence can found while watching a courtroom television drama, where a law enforcement officer is portrayed as having tainted key evidence during the process of investigation and the suspect on trial is let go, even if the suspect may be guilty. Why does this happen? Why should someone, possibly a criminal, be let go because a piece of evidence was falsified, even if the rest of the evidence was not changed? The reasoning is that any conclusions based on or influenced by the falsified evidence cannot be sustained. Further, falsified evidence brings the validity of all of the other evidence in the case into question as well.
A article from the news illustrates the point: "In her order, [the Judge] -- a former prosecutor -- issued a scathing indictment of the prosecutor in that case for hiding evidence that [the murdered] was allegedly, a sexual predator who had molested [the murderer] and other children. [The Judge] said "evidence has plainly been suppressed," and accused former assistant D.A. of engaging in "gamesmanship" and "playing fast and loose." The judge also said [the prosecutor] "had no problem disregarding her ethical obligations" in an attempt to win."
Another way evidence can be falsified is if it is withheld, particularly if it demonstrates a counter argument, such as DNA evidence demonstrating the innocence of a suspect. If this data is available, but withheld, then it is also a form of falsification or misrepresentation of the available data. There are many similar analogies about falsification in law that also carry over to issues about falsification of data in science, engineering, economics, etc. While what ultimately constitutes proof and certainty in a court of law ("beyond the shadow of a doubt") is not the same that constitutes proof or certainty in science (>95%), the impacts and problems of falsification are very similar.

Falsification in sciences and engineering arise from manipulating research materials, equipment, or processes, or changing or omitting data or results such that research observations are not accurately represented in the research record. Falsification often occurs when a researcher chooses to omit data that goes against confirming a hypothesis, such as omitting to report harmful, but rarely observed, side-effects in Phase 1 or 3 trials of testing a new medication. In this context, falsification of data can lead directly to harming individuals who later take the medication.
Other forms of falsification not of the research ethics kind: There are times when data may be false for reasons of instrumental calibration, such as the recent example of the particles that were thought to be traveling faster than the speed of light, when later it turned out to be instrumental calibration issues. This particular issue does not constitute falsification.There is another notion of falsification in the sciences that should not be confused with the falsification of research data, namely, the falsification of a hypothesis. This simply means that a scientific hypothesis has been demonstrated to be logically false based on existing data.
Significant concerns emerge when data is falsified
- First, when conclusions are presented on falsified or incomplete data, they can hide problems about how certain we can be about our conclusions based on such research. This applies to more than just research records, it can apply to other kinds of data tracking. For example, would you want to fly in a plane that had a falsified maintenance record?
- Second, other research may be based on falsified assumptions; and, thus, errors may perpetuate throughout a later process.
- Third, falsified research that receives funds and/or is published instead of other research (that would not be falsified) robs the funders (typically the public through government grants) of the outcomes of proper research.
- Fourth, careers based on falsified research create problems and deficits, and often significant embarrassments, for the research institutions.
Discussion Questions
- Can you think of some reasons why someone might want to falsify their data?
- In what kinds of situations might falsification be more problematic than in others?
- When might it be ok to omit certain kinds of data from the record?
- Can you think of some ways to test whether someone's data has been falsified?
1.2 Fabrication
1.2 Fabrication ltb103
There is an Aesop's Fable you may be familiar with, titled The Boy Who Cried Wolf, about a shepherd boy who shouts out to the local villagers that a wolf was attacking his flock, but when the villagers rushed to the scene, there was no wolf to be found. The boy did this multiple times, and each time, there was no wolf to be found. When a wolf actually did come to attack the boy's flock, the villagers had ignored the cries, thinking that it was a false alarm, and the boy's flock was destroyed by the wolf. The moral of this story is, at its root, about how being caught fabricating observations, in this case about a wolf, will inevitably lead to an erosion of trust in other claims.
Fabrication is making up data or results and recording them in the research record. Fabrication in research typically concerns the construction of data to fit or conform to a given test or confirm a particular hypothesis. Fabrication is no small issue in the sciences, and publishing work or releasing medicines based on fabricated results can bring big rewards. There exist numerous examples of fabrication in science, medicine, and engineering, many of which likely go undetected.
"Biomedical research has become a winner-take-all game — one with perverse incentives that entice scientists to cut corners and, in some instances, falsify data or commit other acts of misconduct," says senior author Arturo Casadevall of Albert Einstein College of Medicine.
The study reviewed 2,047 papers retracted from the biomedical literature through May 2012 and consulted the National Institutes of Health (NIH) Office of Research Integrity and Retractionwatch.com to establish the cause.
And the team found that about 21 percent of the retractions were attributable to error, while 67 percent were due to misconduct, including fraud or suspected fraud (43 percent), duplicate publication (14 percent), and plagiarism (10 percent). Miscellaneous or unknown reasons accounted for the remaining 12 percent.
"What's troubling is that the more skillful the fraud, the less likely that it will be discovered, so there likely are more fraudulent papers out there that haven't yet been detected and retracted," says Casadevall.
The problems with the fabrication of data and results are multiple
- First, fabrication creates an unreliable research record which, if published, can at best be misleading to anyone reading and using the paper and at worse, life-threatening, if findings are applied.
- Second, fabricated results essentially make an entire research project junk, particularly if the data is actually used to support an analysis and hypothesis.
- Third, making up results in government-funded research takes resources directly away from other research that was not funded but would have not been fabricated, i.e., real research results.
- Fourth, publishing fabricated research results also drives up competition (in publications and grants) and expectations from unfabricated results, which may present a more complex picture.
Discussion Questions
- Would you want to take a medicine that was suspected to be based on fabricated test results?
- What would be the problem with "filling in the blanks" of experimental runs 21 through 40, if results from experimental runs 1-20 were all in the same range?
- We often will use interpolation to fill in data where data cannot be collected, such as in environmental or geographic analyses. Why is this an acceptable practice and not considered fabrication?
1.3 Plagiarism
1.3 Plagiarism ltb103Perhaps you are working on writing a paper for a class and are on a serious deadline, plus you have to study for two midterms, and you have caught a cold, so are not feeling your best. While working on the paper, you decide you can save time writing by cutting and pasting large parts of supporting text from a rather obscure website (it was, after all, three pages into a web search.) You reason that the passages you cut-and-paste are quite appropriate to what you are trying to convey, and that it would be rather difficult to improve on what the author already wrote. Being rushed for time, you also "forget to quote" and/or properly cite the material you pasted into the paper. Upon grading the paper, the instructor catches your shortcut and has a meeting with you about this problem. You are informed by the instructor that this kind of shortcutting is called plagiarism and that you are going to receive an F for the course and a mark on your school record. You realize that this is rather problematic, and could even impact your ability to receive student loans. Then, you think that this seems rather harsh for such a minor infraction. Equally, you wonder, why would the penalty for copying answers on a test be met with equally harsh consequences? (Do some pullout work here on ethics spotting. Why do you think that there are ethical issues with copying work? Does it cause harm?)
There are a few fundamental problems that emerge from plagiarism
- First, there is a knowledge problem, in that you do not create your own way of understanding and stating the idea. For example, if cut-and-paste was ok, then pretty much every paper seen by your instructor would be various copies of the same Wikipedia entry. This is not good, because it would drive your instructors crazy trying to grade such similar material, and, well, someone had to write the Wikipedia page in the first place, so there had to be original authorship somewhere along the line.
- Second, there is a problem of taking credit for someone else's work and,
- Third, the problem of not being able to trace information or data back to its proper source. That is, by not providing a proper citation to the work you copied, you are at the same time both not giving someone proper credit for their work by implicitly taking the credit for yourself, and you are making it impossible for someone else who reads your paper to trace back the statement to the original source, which may contain references and other supporting information that can help them understand the idea or argument better.
- Fourth, being caught by others as having plagiarized another's work calls into question the originality of all of your other writings and ideas. Further, if you work for an institution and are in a position of trust, such as an elected member of the government, plagiarism erodes the trust in your position and ability to perhaps overlook this behavior in others. For a high-level official, being caught as a plagiarist can be a career-ending problem.
Discussion Questions
- What if you discovered someone had taken some of your writing and tried to pass it off as their own. What do you think about this action?
- Would the copying of music files be considered plagiarism? Why? Provide good reasons for your answers.
- What if someone in the group has plagiarized work for a group paper or proposal? Should all the members of the project be held responsible for that person's plagiarism?
- What if you were writing a paper only for yourself, and you never intended for anyone to read it. Would it be problematic if you plagiarized?
Part 2 - Treatment of Subjects and Stakeholders
Part 2 - Treatment of Subjects and Stakeholders ltb103How eager would you be to take a medicine for an ailment if you were not at all sure if either the medicine would work on your ailment – or if the side-effects of the medication were worse than the disease? How confident would you be in someone you never met saying that they "have your best interests" in mind when making decisions for you, such as ? On one hand, new medicines could not be brought to market if no one was willing to take part in early trials of the medicine. On the other hand, not many people would be eager to be among the first to test out a new drug for an ailment or life-threatening disease, unless the alternatives were definitively worse. Research is often conducted on humans, animals, living systems, and environments in ways that could impact the well-being (positively and negatively) of those subjects of research. Important ethical questions arise when we begin to ask how much those subjects know about the risks of partaking in specific research or how a specific intervention may impact their health. Further, ethical problems are compounded when the subject(s) of research or decision-making cannot speak or make decisions for themselves, such as for an unconscious patient on life support, or even for non-human subjects, like animals, plants, and ecosystems. The main ethical question that arises is whether a subject or stakeholder is able to consent to participating in research and/or decision-making, or what is referred to as "informed consent."
Having the capacity to give consent to being part of research, receiving a medical treatment with known risks (like surgery), and/or having decisions (including policies) about your welfare made on your behalf requires the ability to consent and be informed (and understand that information) well enough to make a well-grounded decision. The idea of informed consent, however, is only applied to humans who can consent. While consent cannot be given by animals, ecosystems, and other non-human subjects, the idea of consent is implicit in trying to come to a decision about the minimization of harms. This consideration of the well-being of non-human subjects unable to consent would widely apply, from animals in a laboratory setting to aquifers in a hydraulic fracturing (fracking) zone, and are typically taken into consideration through existing regulatory processes (such as the Institutional Review Board or Environmental Impact Assessments.)
The main concept to keep in mind here is the idea of consent, whether it be informed consent of a patient or research subject, or a form of representative consent, where a person or organization stands in for the concerns of the non-human subject(s) undergoing research or significant changes.
2.1 Treatment of Subjects (Research and Treatment)
2.1 Treatment of Subjects (Research and Treatment) ltb103Each research institution which is able to receive grants from the U.S. Government for human and/or animal research is required to have an Institutional Review Board (IRB) that reviews proposals to assure the protection of research subjects. Examples of and reasons for requiring review of research that involves human subjects are numerous and multiple throughout medical and behavioral research. (History is full of horror stories about the treatment of medical and behavioral research subjects.)
While it may not be bio-medical research, if we are to learn what we can about the many social and behavioral aspects of renewable energy and sustainability systems, we will need to research topics such as patterns of consumption, energy use, patterns of traffic flow, individual psychology, response to risks, etc. Behavioral and social requires the study of research subjects, which will require a review of the research by the institution's own IRB.
Penn State has very extensive Institutional Review Board (IRB) resources as part of the Office for Research Protections (which all research falls under.) This lesson is in no way a replacement for the extensive educational resources and regulatory support. See the following resources for more: Penn State's Institutional Review Board and Penn State's Office for Research Protections.
The treatment of research subjects and medical patients can be approached through a basic principle (easy in theory, but not in practice) that subjects ought to be treated how they want to be treated. The difficult part can be in determining whether subjects understand the risks of the procedure or research in which they are partaking. Further, protecting the identity of information and research data about a subject is required (privacy and confidentiality) if no harm comes to the subject from the information generated by the research (such as a pre-existing condition or genetic marker for a specific disease). Subjects that are experiencing conditions that could compromise or coerce subjects into agreeing to research or treatments that may not be in their best interests.
Significant Principles
- IRB Guiding Principles:
- Respect for Persons (dignity, autonomy, respect for persons)
- Beneficence (protecting participants from harm through evaluation of risks)
- Justice (fair selection of research subjects, representation of subjects)
- Consent: Can a person give properly informed consent ("of sound mind and body") in agreeing to a procedure, for participation in research, or in accepting most any sort of decision that could affect their health or well-being?
- Privacy: Is a person and/or their participation anonymous and free from observation from outside parties?
- Confidentiality: Is data from the research restricted from access and correlation to specifically identifiable individuals?
- Deception: Is the subject put at risk in research that is intentionally misleading, (such as completing a task where something is being observed other than what was revealed when the subject began the research)?
- Therapeutic misconception: Is the research subject overly optimistic or hopeful (such as in a very early drug trial for a fatal disease), particularly in ways that can take advantage of that enthusiasm?
- Ensuring safety and needs of vulnerable research populations: Is the research subject someone that could be exploited or taken advantage of due to their condition or circumstances (juveniles, prisoners, mentally impaired, etc.)?
Discussion Questions
- How do you approach becoming informed about a particular health care procedure? Think of something simple, like getting a flu shot.
- Do you read all of the information provided to you when you are giving consent?
- What are some reasons you can think of as to why research data about a person would want to be kept anonymous?
- How would you weigh what is in your best interest if you were faced with choosing between a risky procedure versus having a known ailment that could threaten your life?
- Should patients always be treated the way they want to be treated (within our medical ability to do so)? Can you think of exceptions?
- Would you participate in a research project testing genetics issues?
2.2 Treatment of Non-human Subjects and Systems
2.2 Treatment of Non-human Subjects and Systems ltb103From 1850 to 1920, roughly 85% of the old-growth forests in the United States were cut down. Much of this lumber fed the early iron and steel mills and resulted in the industrial expansion of the United States, and many of these areas have since been reforested. Nevertheless, this expansion impacted or even eradicated the landscapes and ecosystems of many different species. Further, this exact pattern of rapid deforestation has been occurring in the Amazon rainforest since 1972, beginning with the building of interior highways. (By 2013, approximately 800,000 km2 of rainforest will have been cleared since 1970, roughly the size of France and Italy combined.) The loss of respiration from the trees (keeping humidity in the region constant) has resulted in multiple problems in the Amazon river basin, from extreme flooding to droughts. How do we being to judge the loss of such services that the rainforest itself provides? How do we clearly compare the costs of the loss of such ecological services, such as clean water and protection from floods, to the financial benefits and economic developments such activities bring with them?
Systems as "subjects"
Environmental and ecological systems can be significantly impacted by human intervention. Animals, plants, schools of fish, even entire ecosystems are impacted by human consumption patterns, particularly in the history of energy production. Animals, particularly mice, are continually used to test new drugs, the toxicity of chemical compounds, the potential for cancer from exposure, etc. Further, animals are designed to produce necessary human medicines, such as insulin from pigs, or now even organs in sheep grown with human tissue (20% by genetics) to decrease the chances of organ transplant rejections, and bacteria are being designed to produce ponds of biofuels.
Animals as "subjects"
As discussed previously, we can do our best to ensure human subjects and patients are able to consent to take part in research or a medical procedure, or someone who may represent their best interests can typically speak for that person's wishes (such as towards the end of life, when a person may be impaired). However, thinking about consent for something like a lab mouse or a landscape does not make sense. How would a lab mouse want to be treated? (Probably not how most of them are treated.) Is it right to introduce engineered genetics into the environment that could breed into native species of plants, changing the inherited genetic structure of the plant forever, such as genetically modifying corn engineered for biofuels?
For human subjects research, the Office for Research Protections (ORP) requires research to be approved through the Institutional Review Board (IRB). For animal subjects research, the ORP requires review by the Institutional Animal Care and Use Committee (IACUC). For environmental based research, such as for biofuels, an Environmental Impact Assessment (EIA) is typically conducted on the part of the researcher. (Check to see here if there is a review board for this.) Regardless, procedures for assessing environmental factors need to be significantly improved, particularly under the principles and goals of sustainability.
Significant Principles
The Three R's for consideration in animal research:
- "Replacement refers to methods that avoid using animals. The term includes absolute replacements (i.e., replacing animals with inanimate systems such as computer programs) as well as relative replacements (i.e., replacing animals such as vertebrates with animals that are lower on the phylogenetic scale).
- Refinement refers to modifications of husbandry or experimental procedures to enhance animal well-being and minimize or eliminate pain and distress.
- Reduction involves strategies for obtaining comparable levels of information from the use of fewer animals or for maximizing the information obtained from a given number of animals (without increasing pain or distress) so that in the long run fewer animals are needed to acquire the same scientific information."
Source: Committee for the Update of the Guide for the Care and Use of Laboratory Animals (2010). Guide for the Care and Use of Laboratory Animals, Eighth Edition.
The six steps to conducting an Environmental Impact Assessment:
- Identify potential environmental impacts.
- Examine the significance of environmental implications.
- Assess whether impacts can be mitigated.
- Recommend preventive and corrective mitigating measures.
- Inform decision makers and concerned parties about the environmental implications.
- Advise whether development should go ahead.
Source: Based on the United Nations Environment Programme: Abaza, H., Bisset, R., & Sadler, B. (2004). Environmental impact assessment and strategic environmental assessment: towards an integrated approach. Geneva, UNEP.
2.3 Consideration of Stakeholders
2.3 Consideration of Stakeholders ltb103A stakeholder is an entity which has a specific interest in the outcomes of a given action, such as a project or change in policy. 'Entities' here can refer to individual citizens, organizations, business, groups of people, systems, ecosystems, or even members of future generations. To have a stake in something means to be in some manner or another impacted by the outcomes of the action proposed or completed. Precisely who or what all the stakeholders are in a given action is not necessarily clear before the action is completed and an impact analysis conducted. Nevertheless, there is an obligation based on principles of basic social justice and democratic processes to determine what the impacts of a given action could possibly be and to whom or what.
Stakeholder Types
An action can have a wide variety of impacts. However, those impacts depend on the standpoint of the stakeholder. One stakeholder may have received a very good deal out of the action while for the other stakeholder the outcome was negative. For example, say you have a small house in the woods by a stream which you use to drink and water your garden with on dry days, the excess from which you make a small bit of money. Along comes a gold prospector who, now living up the stream from you, decides to dam the stream up in the search for gold. You now only have access to a small trickle of the water you just had access to the day before. (What would you do?) Obviously, the outcomes of a given action are rather different depending on the stakeholder's standpoint. (Not all outcomes have to be so stark in comparison.) We might call these two individuals primary stakeholders, while those benefiting from the prospector's gold and those who may not be able to any longer purchase the farmer's vegetables may be referred to here as secondary stakeholders. Those individuals who would able to go in and require the prospector to dismantle or at least minimize the impact of the gold mining operation would be referred to here as key stakeholders, who hold power over the outcomes of the action but may or may not be impacted by the action.
Silent Stakeholders
Some stakeholders are not able to represent their interests during a consideration of impacts, for example, an endangered environment, ecosystem, or species is obviously not able to represent 'its' interests in human decision-making processes. As such, these kinds of stakeholders require representative proxies for their interests, which often come in the form of special interest NGOs. There are also many groups of individuals (humans) that are unable to properly enter into the decision-making process for reasons of gender, race, class, economic status, social status, or otherwise. Assuring that outcomes and impacts of actions do not adversely affect those stakeholders that cannot represent themselves requires a comprehensive stakeholder analysis and includes representations of those interested that cannot readily represent themselves. Why is this necessary? Because the dominant financial and political forces will almost always work in their own best interests, leverage what power they have. This is, in fact, the crucial difference between stakeholder in an action and shareholder in a company.
Stakeholder Analysis
The product of a well-conducted stakeholder analysis ought to produce a shared balance of benefits/burdens from a given action and, foremost, not impact those in a weak position or otherwise unable to represent their own interests. A fair process requires the consideration of possible impacts to the primary stakeholders, secondary stakeholders, and key stakeholders. Basic procedural fairness usually necessitates a partially to completely open process where stakeholders are able to give light to their perspective on the impacts from the initial conception of the action. A stakeholder analysis is likely to produce the best results (perceived as fair) when conducted early on in the process of deliberation around a decision or action so engagement with all interested stakeholders can begin. The stakeholder analysis process is a mapping out of people, groups, or systems that hold a stake in the outcome of the action. Initially, a stakeholder analysis can be done by theoretically mapping out the possible impacts on stakeholders of a given decision or action. Mapping out in a real process requires direct representation from the members of the group, i.e., as effective as it may be, it is improper to assume a stakeholder's standpoint is a given. Taking our previous example of the gold prospector and the gardener, it would probably be improper and incorrect for the prospector to assume that if the gardener minded the loss of streamflow, his land could be purchased for a good sum of money.
Significant Principles
- A given action or decision can have significant consequences which are dependent on who or what the stakeholder is in relationship to the action or decision.
- A stakeholder analysis should be conducted early in a project to insure equitable representation in a decision-making process around a given action.
- A stakeholder analysis requires representation from actual stakeholders or reasonable proxies, as in the case of silent stakeholders.
- Equitable outcomes require an equitable process of evaluation.
Part 3 - Authorship, Credit, and Acknowledgment
Part 3 - Authorship, Credit, and Acknowledgment mjg8Motivation
A significant motivating factor for conducting research and moving it forward is receiving credit for the research and findings. Credit is given to those who play a significant role in shaping the research and/or interpretation of results. Authorship, either of papers, project proposals, architectural plans, etc., is a primary aspect of the distribution of one's work and a necessary aspect of moving a career forward in many fields. In academic research settings, authorship and credit provide the foundations by which a researcher is evaluated. The more prestigious the journal is, the higher the impact the research is likely to be perceived to have, the more prestige the researcher. In business and policy planning, credit and acknowledgment can depend on and be evaluated based more on team and leadership performance than in academic settings. Regardless of the context, "credit where credit is due" seems an apt phrase to describe what it takes to move a career forward.
Acknowledgment comes in many forms, again, depending on the context. In a commercial environment, acknowledgment may take the form of upholding patents, which may be licensed and put to use in other products. In an academic environment, acknowledgment comes in the form of citing previous works and findings upon which the current research is based. In a laboratory environment, acknowledgment may come in the form of providing credit to technicians either through co-authorship or in an acknowledgments section. Acknowledgment sections of books often cite specific examples of how certain individuals helped to shape the author's thinking around a particular point.
Credit as Currency
"The reward individual scientists seek is credit. That is, they seek recognition, to have their work cited as important and as necessary to further scientific progress. The scientific community seeks true theories or adequate models. Credit, or recognition, accrues to individuals to the extent they are perceived as having contributed to that community goal. Without strong community policing structures, there is a strong incentive to cheat, to try to obtain credit without necessarily having done the work. Communities and individuals are then faced with the question: when is it appropriate to trust and when not?"
3.1 Credit in Authorship
3.1 Credit in Authorship ltb103What is an Author?
Authorship of a publication implies both taking credit as well as responsibility for what is published. This can sometimes be a challenge in interdisciplinary or large team contexts, where trust in others' work is an established necessity. Even though most fields and even different labs will have slightly, if not completely, different standards for deciding on the order of authorship, what constitutes a viable contribution is fairly similar across fields.
Listing Authors
"The list of authors establishes accountability as well as credit. When a paper is found to contain errors, whether caused by mistakes or deceit, authors might wish to disavow responsibility, saying that they were not involved in the part of the paper containing the errors or that they had very little to do with the paper in general. However, an author who is willing to take credit for a paper must also bear responsibility for its errors or explain why he or she had no professional responsibility for the material in question."
Can Anyone Really Claim Authorship?
John Hardwig (1985) articulated one philosophical dilemma posed by such large teams of researchers. Each member or subgroup participating in such a project is required because each has a crucial bit of expertise not possessed by any other member or subgroup. This may be knowledge of a part of the instrumentation, the ability to perform a certain kind of calculation, the ability to make a certain kind of measurement or observation. The other members are not in a position to evaluate the results of other members' work, and hence, all must take one anothers' results on trust. The consequence is an experimental result, (for example, the measurement of a property such as the decay rate or spin of a given particle) the evidence for which is not fully understood by any single participant in the experiment."
Significant Principles
Agree on the order of authorship beforehand, if at all possible. Sometimes authors get pulled into a publication later in the process, but even then some agreement on the order of authorship ought to be arrived at before sending off a manuscript for review.
Contribution. Authorship is generally limited to individuals who make significant contributions to the work that is reported. This includes anyone who:
- Was intimately involved in the conception and design of the research,
- Assumed responsibility for data collection and interpretation,
- Participated in drafting the publication, and
- Approved the final version of the publication."
Steneck, Nicholas H. 2007. ORI Introduction to the Responsible Conduct of Research. [Rockville, Md.]: Dept. of Health and Human Services.
3.2 Providing Acknowledgment
3.2 Providing Acknowledgment ltb103When credit as a co-author is not appropriate for a given publication, extended collaborators and external advisors will often be given credit in an acknowledgment section, usually at the beginning of a paper and at the end of a book. Robert Day provides a helpful description here which provides some excellent rules of thumb for how to approach an acknowledgments section in a publication. These rules of thumb are proper to consider for a variety of contexts which require extending the social courtesy of acknowledging the contribution of another's input.
Significant Principles
First, you should acknowledge any significant technical help that you received from any individual, whether in your laboratory or elsewhere. You should also acknowledge the source of special equipment, cultures, or other materials. You might, for example, say something like "Thanks are due to J. Jones for assistance with the experiments and to R. Smith for valuable discussion."
Second, it is usually in the Acknowledgments wherein you should acknowledge any outside financial assistance, such as grants, contracts, or fellowships.
A word of caution is in order. Often, it is wise to show the proposed wording of the Acknowledgment to the person whose help you are acknowledging. He or she might well believe that your acknowledgment is insufficient or (worse) that it is too effusive. If you have been working so closely with an individual that you borrowed either equipment or ideas, that person is most likely to be a friend or a valued colleague. It would be silly to risk either your friendship or the opportunities for future collaboration by placing in public print a thoughtless word that might be offensive. An inappropriate thank you can be worse than none at all, and if you value the advice and help of friends and colleagues, you should be careful to thank them in a way that pleases rather than displeases.
Furthermore, if your acknowledgment relates to an idea, suggestion, or interpretation, be very specific about it. If your colleague’s input is too broadly stated, he or she could well be placed in the sensitive and embarrassing position of having to defend the entire paper. Certainly, if your colleague is not a coauthor, you make them a responsible party to the basic considerations treated in your paper. Indeed, your colleague may not agree with some of your central points, and it is not good science and not good ethics for you to phrase the Acknowledgments in a way that seemingly denotes endorsement." Day, Robert. “How to Write and Publish a Scientific Paper: 5th Edition” Oryx Press, 1998.
Remember, there is nothing really scientific about the Acknowledgments section, it is simply about courtesy.
3.3 Responsible Authorship
3.3 Responsible Authorship ltb103The motivation for credit and acknowledgment is a significant driver behind the push to publish or patent from research. With rapid communications that support the dissemination of research, new findings can propagate quickly. Digital communications combined with increasingly competitive environments create further pressure to disseminate findings quickly. In circumstances of urgency, such as with an infectious disease, timing is critical, but so is accuracy in data and interpretation. In most cases, research and development occurs within a predictable cycle, perhaps dictated in the terms of the grant or business cycle. Research findings ought to be submitted in a timely manner and, for federally funded research, made available along with the data. Different funders have different expectations for what to do with findings. For companies, much is often not shared due to what they may argue is protection of trade secrets, which makes it more difficult to review certain claims.
Submitting research findings for peer review is one way journals and researchers check the work of their colleagues. While the peer review process is a quality check of the work, it is not a foolproof process, and errors can get through. For multidisciplinary teams, the lead author may not be able to evaluate the validity of certain sections of a paper, in which case the lead author ought to find a colleague capable of giving feedback on such content.
NSF Expectations
"Investigators are expected to promptly prepare and submit for publication, with authorship that accurately reflects the contributions of those involved, all significant findings from work conducted under NSF grants. Grantees are expected to permit and encourage such publication by those actually performing that work, unless a grantee intends to publish or disseminate such findings itself.... Investigators are expected to share with other researchers, at no more than incremental cost and within a reasonable time, the primary data, samples, physical collections and other supporting materials created or gathered in the course of work under NSF grants. Grantees are expected to encourage and facilitate such sharing. Privileged or confidential information should be released only in a form that protects the privacy of individuals and subjects involved. General adjustments and, where essential, exceptions to this sharing expectation may be specified by the funding NSF Program or Division/Office for a particular field or discipline to safeguard the rights of individuals and subjects, the validity of results, or the integrity of collections or to accommodate the legitimate interest of investigators."
Significant Principles
- Submit findings and results in a timely manner, especially if findings present a risk (such as in public health research).
- Data should be accessible to other researchers, in part to be able to use data in other applications and to be able to be run to test given interpretations.
- Do not "dilute" the impact of the results through publishing only smaller sections of the materials simply to increase publications.
- Make clear how data have been cleaned and/or optimized for analysis.
- In addition to field specific journals, consider other venues for dissemination to reach broader audiences.
- Authorship implies responsibility for materials contained within a manuscript. This can be further helped by identifying specific areas co-authors who contributed to the research publication.
Part 4 - Conflicts of Interest (COIs)
Part 4 - Conflicts of Interest (COIs) mjg8A conflict of interest can arise when there are competing interests in a particular project or line of research that hinder the capacity for clear judgment and unbiased analysis. We want to avoid conflicts of interest to avoid social favoritism (cronyism and nepotism), the preference of familiar people and things (the mere-exposure effect), favoritism towards funding sources (funding outcome biases), bias in review of other projects based on competing interests, self-favoritism (egotism), internal review (self-policing), etc. Bribery, described in further detail below, presents an immediate conflict of interest.
4.1 Avoid Bribery
4.1 Avoid Bribery ltb103
Bribery means to take or offer something in exchange for favoritism. Bribery presents a very immediate and obvious conflict of interest that requires a “gift” in exchange for preferential treatment. These kinds of “gifts” can come in various forms, such as kickbacks for accepting a bid; money, goods, services, or favors for “looking the other way”; use of information to blackmail someone; using knowledge for personal financial gain, such as insider trading; and use of position of authority for personal gain, particularly in government-related positions.
Gifts and bribery do not always come in the form of money or forms of obvious payment. Basically, if you would not feel comfortable in people knowing about the transaction or favor, then it is probably not a good idea to engage in the exchange.
4.2 Disclosure of COIs
4.2 Disclosure of COIs ltb103Disclosure is the primary means for addressing possible conflicts of interest, for similar reasons to those in our disclosure to Subjects and Stakeholders (Lesson 2, Part 2). It might be obvious to state that the easiest way to avoid COIs is to be able to know about them in advance. This is why identifying and disclosing known COIs is the best way to avoid the mistrust that may come from them. In other words, information and access to that information about possible conflicts of interests is still the best way to avoid them.
The external perception of a conflict of interest, even if it feels as though none exists, is enough to put projects, CEOs, and/or entire companies at risk. Integrity is typically based on a person or company’s record for avoiding conflicts of interest and in “fair dealings.”
Penn State, like most major research universities, has an extensive COI policy. For the full policy and requirements for individual reporting, you can read through Penn State's Research Administration Policies Research Protections. All researchers receiving federal funds must report any possible financial conflicts of interest at least once per year, and within thirty days if one does arise. Penn State defines the purpose of the policy as the following:
"The purpose of this Policy is to maintain the objectivity and integrity of Research at The Pennsylvania State University (the “University”) and to ensure transparency in relationships with outside Entities and individuals as they relate to the academic and scholarly mission of the University. Among its many missions, the University seeks to foster interactions between the private sector and academia, as interdisciplinary and translational research is of ever-increasing importance in transforming newfound knowledge into useable technologies and scholarship that benefit the public. There is, however, the potential for financial conflicts of interest in such collaborations. In most cases those conflicts can be managed appropriately, rather than eliminated, thereby enabling those involved in University Research to engage in that Research objectively and with integrity and at the same time maintain acceptable financial relationships with outside Entities and individuals. Disclosure of financial interests to the University will protect both investigators and Penn State from potential criticism or even government sanctions in the event such relationships are subsequently called into question."
As you will see in the following example, corporations also have a significant interest in keeping conflicts of interest from occurring.
4.3 Example of COI policy
4.3 Example of COI policy ltb103Let us look at what the company ArcelorMittal defines as conflicts of interest in its Code of Business Conduct.
Conflicts of Interest
ArcelorMittal recognizes that we all have our own individual interests and encourages the development of these interests, especially where they are beneficial to the community at large.
However, we must always act in the best interests of the Company, and we must avoid any situation where our personal interests conflict or could conflict with our obligations toward the Company.
As employees, we must not acquire any financial or other interest in any business or participate in any activity that could deprive the Company of the time or the scrupulous attention we need to devote to the performance of our duties.
We must not, directly or through any members of our families or persons living with us or with whom we are associated, or in any other manner:
- have any financial interests that could have a negative impact on the performance of our duties, or derive any financial benefit from any contract between the Company and a third party where we are in a position to influence the decisions that are taken regarding that contract; or
- attempt to influence any decision of the Company concerning any matter with a view to deriving any direct or indirect personal benefit.
We must inform our supervisor or the Legal Department of any business or financial interests that could be seen as conflicting or possibly conflicting with the performance of our duties. If the supervisor considers that such a conflict of interest exists or could exist, he or she is to take the steps that are warranted in the circumstances. If the case is complex, the supervisor is to bring it to the attention of the Vice-President of his or her division, the Chief Executive Officer or the General Counsel.
Receiving Gifts or Benefits
We must not profit from our position with ArcelorMittal so as to derive personal benefits conferred on us by persons who deal or seek to deal with the Company. Consequently, accepting any personal benefit, such as a sum of money, a gift, a loan, services, pleasure trips or vacations, special privileges or living accommodations or lodgings, with the exception of promotional items of little value, is forbidden.
Any entertainment accepted must also be of a modest nature, and the real aim of the entertainment must be to facilitate the achievement of business objectives. For example, if tickets for a sporting or cultural event are offered to us, the person offering the tickets must also plan to attend the event. In general, offers of entertainment in the form of meals and drinks may be accepted, provided that they are inexpensive, infrequent, and, as much as possible, reciprocal.
As these instructions cannot cover every eventuality, we are all required to exercise good judgment. The saying «everybody does it» is not a sufficient justification. If we are having difficulty deciding whether a particular gift or entertainment falls within the boundaries of acceptable business practice, we should ask ourselves the following questions:
Is it directly related to the conduct of business? Is it inexpensive, reasonable, and in good taste? Would I be comfortable telling other customers and suppliers that I gave or received this gift? Other employees? My supervisor? My family? The media? Would I feel obligated to grant favours in return for this gift? Am I sure the gift does not violate a law or a Company policy?
In case of continuing doubt, we should consult our Supervisor or the Legal Department.
Lesson 3: Renewable Energy and Climate Change
Lesson 3: Renewable Energy and Climate Change sxr133Overview
Overview ksc17
This lesson will cover the basic principles of global climate change and how the warming of the climate is driving the push towards innovation and adoption of renewable energy technologies, processes, policies, and cultures. This lesson will look at the push for renewables as a necessary condition for beginning to address the climate problem at its main source, namely, greenhouse gasses emitted as a byproduct of the burning of fossil fuels and other industrial processes. The call to address climate change is, at its root, an ethical imperative which further underpins the drive for renewables.
Lesson Objectives
- Articulate the relationship between climate change and the drive for renewable energy.
- Explain environmental arguments for the move to renewable energy.
- Identify ethical reasons for considering renewables.
- Identify ethical challenges to adopting renewables.
What is due for Lesson 3?
This lesson will take us one week to complete. Please refer to the Course Syllabus for specific time frames and due dates. Specific directions for the assignment below can be found in this lesson.
| Requirements | Assignment Details |
|---|---|
| To Do | Familiarize yourself with all the Lesson 3 Readings and assignments. |
| Read | Week 3:
|
| Assignment | Week 3: Post questions and comments in the discussion forum. To post, go to the course in Canvas, click on Lesson 3 folder, and post to Lesson 3 Discussion. Complete Ethics Matrix 2 and Stakeholder Analysis Worksheet. To submit, go to the course in Canvas, click on Lesson 3 folder, and click on Submit Ethics Matrix 2b and Stakeholder Analysis Matrix. |
Questions?
If you have any questions, please post them to our Questions? discussion forum (not email), located under the Discussions tab in Canvas. I will check that discussion forum daily to respond. While you are there, feel free to post your own responses if you, too, are able to help out a classmate.
Part 1 - Energy and Climate
Part 1 - Energy and Climate ews11The links between energy use and the global warming of the atmosphere are significant. In 2011, the global total output of CO2 from energy production was 32,579,000,000 metric tons (32.6 Gigatons) or 71,824,400,397,211 pounds. That is just for one year, for energy consumption alone.
First, read Chapter 1 of the IPCC report on Renewable Energy (RE) and climate change.
This is a rather complex document with a significant amount of data and figures, and it is sometimes easy to lose the thread of the argument. This document expects you to already know something about how climate change works. For a quick background on how the greenhouse effect works, please have a look at HyperPhysics and University Corporation for Atmospheric Research (UCAR).
Pay attention to
In Chapter 1 of the IPCC RE Report:
- How is energy consumption linked to drivers of CO2 output?
- How is renewable energy linked to CO2 output?
- What kind of renewables should be implemented?
- When should they be implemented?
Potential ethical questions for consideration
- Describe the reasoning behind the urgency to move to renewable energies by a certain deadline.
- What is a per capita emissions output? What does it mean to have a high per capita emissions versus a medium or low per capita?
Part 2 - Renewable Energy Pathways and Obligations
Part 2 - Renewable Energy Pathways and Obligations ews11In Part 1, you read about the linkages between energy, renewables, and climate change. Now, read the International Energy Agency's Methodology for the "450 Scenario" and Chapter 8 of 2012 World Energy Outlook.
This report by the IEA works through various energy policy scenarios based on requirements to meet certain targets.
Pay attention to:
- The importance of the 450 in the 450 scenario
- What is meant by "carbon in energy reserves and infrastructure"
- Examples of emissions lock-in
- Energy efficiency versus renewable energy
Potential ethical questions for consideration
- Is there an obligation to meet the 450 scenario? If so, what is that obligation?
- Is there an obligation to invest in renewable energy innovation and infrastructure? By whom and when?
- What do the scenarios demonstrate as the more effective investment in the near future? Renewable energy or energy efficiency?
- Why should decision-makers listen to these research findings?
Lesson 4: Biofuels
Lesson 4: Biofuels sxr133Overview
Overview ksc17Biofuels are fuels generated through the processing of biomass for energy. They can be solids, in the form of biofuels like wood derivatives (pellets, paper, charcoal, etc.), digested biomass (like cow dung). They can be liquids, like biodiesel, ethanol, and methanol. Or they can be a gas, like methane. The advantage to biofuels is that they can be a very useful way to store and transport (solar and chemical) energy that is immediately available for use, like fossil fuels. As well, biofuels present possible opportunities for zero-carbon emissions (over the lifecycle). The difficulties biofuels present are mainly that: biofuels are more processing intensive and expensive than fossils; biofuels also require significant land and resources that can compete with needs for food crops, thus driving up prices on food; and that biofuels, if not managed correctly, can produce very little reduction in overall emissions for a significant cost. In this module, you will learn about the various types of biofuels, learn of reasons why a lifecycle analysis is required to determine the value of a biofuel process, and investigate.
Lesson Objectives
- Recognize why biofuels are of interest.
- Categorize types of plants used for biofuels.
- Be informed about the basic science behind biofuel production.
- Conduct a stakeholder analysis.
- Identify and reason through ethical issues in the production of bioethanol.
What is due for Lesson 4?
This lesson will take us two weeks to complete. Please refer to the Course Syllabus for specific timeframes and due dates. Specific directions for the assignment below can be found within this lesson.
| Requirements | Assignment Details |
|---|---|
| To Do | Familiarize yourself with all the Lesson 4 Readings and assignments. |
| Read | Week 5: Week 6:
|
| Assignment | Week 5: Draft of Ethics Matrix 2b (Broader Social and Environmental Impacts) and the Stakeholder Analysis Matrix. Post questions and comments in the discussion forum. To post, go to the course in Canvas, click on Lesson 4, post on Lesson 4 Discussion. Week 6: Apply Ethics Matrix 2b (Broader Social and Environmental Impacts) and the Stakeholder Analysis Matrix in an analysis of biofuels. That is, fill out the matrices and use them to help you identify significant stakeholder and ethical issues and write up an analysis that broadly identifies ethical considerations in the three main categories and discusses the relationship of those issues to the stakeholders. This should be roughly 600-750 words in length. To submit, go to the course in Canvas, click on Lesson 4, submit to Assignment 4 - Analysis of Biofuels. |
Questions?
If you have any questions, please post them to our Questions? discussion forum (not email), located under the Discussions tab in Canvas. I will check that discussion forum daily to respond. While you are there, feel free to post your own responses if you, too, are able to help out a classmate.
Part 1 - Nuffield Council on Bioethics Report on Biofuels
Part 1 - Nuffield Council on Bioethics Report on Biofuels ews11
Biofuels come from...
Biofuels are fuels generated via a biological/metabolic process. Biofuels can be in a solid, liquid, or gas form. (Fossil fuels are basically very old, i.e., fossilized, biofuels.) Biofuels are actually the oldest among all fuels used by human populations, readily available in forms such as burning wood and dung. Liquid biofuels, such as ethanol and biodiesel, are particularly appealing because they are intended to replace traditional fuels, like gasoline and diesel. Unlike fossil fuels, biofuels are renewable in that they can be grown, for the most part, on demand (within typical biological constraints.) Depending on the method, biofuels are typically "carbon neutral" in that the CO2 released during their burning is CO2 that was captured and stored as a carbohydrate (through photosynthetic respiration). The "carbon neutral" aspect, along with the useful (transportable) form of liquid fuels, makes biofuels quite appealing as part of a broader renewable energy strategy.
Nuffield Report
This lesson focuses on the Nuffield Council on Bioethics report on the ethics of biofuels. Within this report, you should gain an understanding of the history of biofuels, how biofuels are produced, why biofuels are appealing, different biofuels pathways for current and future production, and the main ethical issues that arise in the production of biofuels.
In the Nuffield Report, you need to pay particularly close attention to the various ethical arguments laid out in chapters four and five. Each of the six ethical principles suggested in the Nuffield Report, (Human Rights, Environmental Sustainability, Climate Change, Just Reward, Equitable Distribution of Costs and Benefits, and Duties) is an example of a broader social and environmental impacts issue. (Note: These categories correlate to EDSR matrix 2b.)
Reading
Corresponding reading: Pages 8 - 43 of the Nuffield Report on Biofuels.
Part 2 - Broader Social and Environmental Impacts of Biofuels
Part 2 - Broader Social and Environmental Impacts of Biofuels ews11Biofuels and Their Broader Impacts
What should be apparent from reading the Nuffield Council on Bioethics Report on Biofuels is that all biofuels pathways require us to think about the wide variety of possibly significant impacts that growing and processing feedstocks could have on populations and environments. All of these impact factors need to be taken into proper consideration when making an argument for a particular biofuels pathway. (Note: For those thinking about nonmarket aspects of biofuels, evaluation of the various impacts is essential to putting forward any sound strategy.)
Tools for Evaluating Broader Impacts
This course presents you with a few tools for identifying the range of possible broader impacts that could emerge from any large systems project, such as increasing biofuels production. Of course, there are a wide variety of broader impacts that may not present any ethical problems; but, here, we are going to focus on those impacts that do, or could present ethically significant issues in the consideration and evaluation of any renewable energy or sustainability strategy.
In Lesson 1.2, you were introduced to the concept of Broader Social and Environment Impacts as part of the EDSR framework. In Lesson 2.1, you were introduced to questions concerning the ethical treatment of stakeholders and nonhuman subjects, which includes the idea of a system as a subject. (The reason why the treatment of stakeholders and nonhuman subjects is considered a professional integrity issue is that these considerations ought to be a normal part of professional practice. In other words, the consideration of stakeholders and nonhuman subjects should be considered in terms of a direct impact and not necessarily a broader impact.) For this lesson, you will evaluate across the three dimensions of systems ethics (Matrix 1) and conduct a stakeholder analysis (Stakeholder Matrix).
Broader Impacts Example: U.S. Corn Ethanol
Broader Impacts Example: U.S. Corn Ethanol ews11Broader Social and Environmental Impacts (EDSR Category 2) of U.S. Corn Ethanol
This is an example of the applying the Broader Social and Environmental Ethics Matrix (2b) to the case of U.S. Corn Ethanol production. This example attempts to find something for every subcategory here; however, some of these subcategories may not be relevant for all cases. For your own assignments, try to identify at least the most ethically relevant of the subcategories.
1. Broader Impacts (top categories)
Advancing discovery and understanding while promoting teaching, training, and learning
Public education about biofuels requires the explanation of methods, benefits, impacts, and trade-offs in using the fuels. More public platforms to learn about biofuels ought to be made readily available. My suggestion would be to engage NASCAR, here in the U.S., and try to convince them to run their races only on biofuels, which their own team would need to "brew." This way, fans could likely be interested enough to learn about the various aspects of biofuels. (Of course, now the stock cars would be running the "moonshine" in their tanks instead of running it in their trunks.) Stock cars aside, biofuels are still the most significant form of energy consumed by 3/5 of the human populations. Biofuels are used, most significantly, in rudimentary cooking and heating applications throughout the world. While we can think about second and third generation biofuels, much of the world uses some form of rudimentary biofuel as part of their daily routine.
Advancement of learning and understanding while promoting teaching ought to, first and foremost, consider the needs of those populations most dependent on biofuels for their daily survival. We ought to, as well, do better about educating "ourselves" about the needs of those groups (depending on more rudimentary biofuels) and educating those societies dependent on more industrialized forms of energy production and consumption about how their practices impact other's access to rudimentary biofuels. Corn biofuels are especially problematic, even under the most ideal of conditions. Corn biofuels require significant inputs of CO2 intensive fertilizer production and fresh water. (~100 gallons of water to grow a gallon of fuel.) Reaching out to communities that may be impacted by corn biofuels ought to learn the trade-offs that need to be made.
Broaden participation of underrepresented groups, e.g., gender, disability, geographic, ethnicity, economic
In conducting a stakeholder investigation, we can see many possible areas where underrepresentation of particular groups is likely to pose a significant ethical issue. Public participation in the decision-making process is essential to bringing to light the challenges and problems that the spectrum of groups may face, but without a specific process that gives voice and credence to minority interests, most minority perspectives would go unconsidered. Many environmental injustices are based on social and economic status. In terms of corn ethanol, a wide variety of farming communities could be impacted. As well, indirectly, those communities that consume corn as a main food staple could be impacted. Bringing together and voicing these various perspectives beforehand could lead to better, i.e., less impactful, decisions on the front end. At the very least, typically underrepresented communities ought not be negatively impacted by the cultivation and processing of corn for use as biofuels.
Infrastructure for research and education examples: facilities, instrumentation, networks, and partnerships
In terms of corn based biofuels, research and education can be readily observed in action through agricultural extension programs, such as those at Penn State. International biofuels research networks have been established to support rapid knowledge and technology transfers. As well, there are industry specific organizations, such as aviation, that are seeking to understand the best way to integrate biofuels to meet their needs. Once a biofuel pathway is established, a commitment is implicitly made to maintain education and innovation.
Dissemination and translation of results
How well is research about the latest developments in biofuels being disseminated? If the latest research happens to demonstrate that corn based ethanol is neither sustainable nor all that economically viable? If the research ends up in academic journals, is it getting in front of the right audience? Are the results of the research being "translated" into terms that a lay audience may understand?
Benefits to society
Corn biofuels present a variety of economic benefits to the corn farmers, fertilizer producers, the seed industry, and others that would see economic gains from a move to corn ethanol. However, there are many significant problems with corn based biofuels, covered in other sections below.
2. Public Policy Implications
Regulatory implications
Regulatory support via farming and energy based subsidies for corn based biofuels can prove problematic for other biofuel strategies. Overall, regulations are going to be necessary if biofuels are to be adopted. Regulations will typically affect some aspect of the transport industry to change fuel standards such that a certain percentage of biofuels are mixed in with regular fossil based fuels. The airline industry in the U.S., for example, is committed to trying to achieve a 20% biodiesel mix for all short haul passenger flights. (This is near the maximum that the current generation of engine technology can take.) Corn based ethanol will likely be de-emphasized as a regulatory priority once cheaper and less land-use / water-use intensive processes become readily available.
Application implications
Adopting corn biofuels requires accepting certain application and infrastructure commitments that may not have been made explicit in the decision-making process about adoption. There are ethical implications to requiring secondary stakeholders to take on certain commitments, from car companies whose engines need to be able to accept the higher ethanol based fuels to the farmers who have to grow a corn in a way that requires buying into the "big agricultural" system or face not being competitive.
Technology transfer and knowledge transfer
When it comes to new and innovative methods for producing biofuels, is there an obligation to transfer those methods to other countries, particularly those most in need of energy development opportunities? On the other hand, is there also an obligation to make sure that any such technology being transferred is indeed appropriate for the location and context? For example, would it be a good idea to try to get countries where corn is the main food staple to also try to invest heavily in corn biofuels? If technology does get transferred (such as genetic technology of the corn, the fermenting and refining facilities, and the biochemistry of the catalysts), then is the appropriate knowledge and training also transferred so that local populations can run the corn ethanol systems?
Research for decision-making
What scientific, technical, and economic research on corn ethanol is being used to make decisions? Is the research produced by a company, by academic researchers, public/private partnerships, think-tanks, etc? Is the research being used appropriate to the decision-making context (climate, soil conditions, water resources, trained experts)?
Evidence-based decision-making
Is research being used at all when decisions are being made about corn ethanol pathways? Does the evidence about the viability of corn ethanol support the decisions being put forward? Is the evidence being used representative of all the research, or is the evidence being "cherry-picked" by those advocating a certain policy direction? (Think of the spectrum of lobbying interests here.)
3. Social Justice Issues
Distributive justice: Allocation of benefits and burdens of an activity
Corn ethanol presents significant distributive justice concerns in terms of land-use impacts, water resource impacts, and food vs. fuel considerations. For example, when the price of corn in the U.S. climbed rapidly due to a new regulatory emphasis on corn ethanol production, this directly affected the price of white corn which also went up quickly in Mexico, due to NAFTA regulations. As white corn is the main food staple for a large majority of the Mexican population, poorer populations were finding it difficult to purchase enough white corn for tortillas to feed themselves. This was also due to the fact that many Mexican farmers decided to grow yellow corn because they could get much more for the yellow corn on the North American market than they could for the white corn on the local market.
Procedural justice: Enhancing participation and representation of groups and individuals in research decisions and outcomes
Decisions get made through a process, but who gets included in that process? While there really is no perfect procedure that can take into account every single perspective when making a decision, there is an ethical obligation to identify the stakeholders (including the 'silent stakeholders') most likely to be impacted and include those voices in building consensus towards a decision. How inclusive of various stakeholder perspectives were the decisions that were made about supporting the adoption of corn ethanol in the U.S.? Were the decision-making procedures influenced mainly by Congressional lobbyists? Or, were there public hearings and attempts to survey public opinion before commitments were made?
Intergenerational justice: Duties of present generations not to pursue policies or practices that create benefits for themselves but impose costs on future generations
How far along in duration does the consideration of impacts extend? Selecting and committing to corn ethanol would not only set up commitments for current populations, but also for future generations. Does corn ethanol provide enough CO2 reductions to improve climatic conditions for future generations, or are there other biofuels options that could address these needs better?
Retributive justice: Are those harmed by actions being properly compensated, and/or are those committing ethical infractions being properly reprimanded for their actions (does the punishment fit the crime)?
Two forms of retributive justice can be considered in the context of corn ethanol. First, the production of corn ethanol did make it difficult for some families to be able to afford enough of their staple food. Market interventions by the president allowed for subsidies of white corn production, even though it went against NAFTA free trade agreements. Second, do companies in the corn ethanol conduct certain practices that go against regulations? Emissions can come at a variety of points throughout the production process. Are those industrial firms correctly reporting all emissions? If not, and they get caught, are they being punished at a rate high enough to discourage further emissions?
4. Transformations in Economy and Society
Transformations in daily function
For the most part, nothing really changes for those who use liquid fuels for transportation. Corn ethanol is appealing to many because there is so little difference to the end user between it and what they already use. People may seek out corn ethanol on a preferential basis, but there are no significant transformations in how business is done. Those that may be most impacted on a day to day basis are the farmers that are most likely to be impacted by a significant shift to corn based biofuels.
Transforming public understanding and education
Corn biofuels do not readily present a different and evolutionary take on energy systems that would take us away from dangerous levels of emissions. Other biofuels do this much better, such as large biodigesters located in a densely populated area which could significantly improve public understanding and appreciation of turning waste into energy while at the same time capturing the CO2 that would otherwise be emitted. Again, unless there was a radical public information campaign (such as NASCAR intentionally adopting corn ethanol as its fuel) corn ethanol does not present significant outreach opportunities that improve the chance of other more effective biofuels.
Transformation of economic means of production
Does corn ethanol present enough of an energy solution that it will likely change how we go about procuring and using energy? Based on the overall energy and CO2 payback of corn ethanol, it does not seem likely shifts would be coming to our energy economy. In fact, if you begin to look at longer-term trends in automobiles, you see that a shift to electric cars is relatively inevitable, depending primarily on a transformative shift in battery storage solutions. There will be a move away from liquid fuels for ground transportation purposes within the next decade. (Most urban transport in the U.S. runs on either electric or CNG.)
5. Risks and Precautions
Definition and assessment of risk
Corn ethanol presents a series of risks ranging from eutrification and other forms of pollution to local water sources and overuse of water resources, particularly where fossilized (non-replenished) water is being used for agricultural purposes in corn farming, such as in regions of the U.S. Southwest. Risks of continuing dependence on natural gas resources in the production of nitrogen fertilizers via the Haber process. Risks are also present in the politics and economics of GMO crops, where genetic content is transmitted via pollen to non-interested parties, and, to make matters worse, that pollen can produce seed that is genetically licensed, so is subject to copyright and intellectual property laws. Who identifies and assesses the risks presented by corn ethanol? Are those risks being taken seriously? Are the risk assessments being conducted by non-interested parties?
Precautionary principle
The principle essentially states that, in the face of uncertainty about outcomes, one must proceed with caution. For the most part, corn ethanol does not present many uncertain risks in its production and consumption. The risks of corn ethanol, as mentioned above, are relatively well known. This does not mean, however, that one should roll out a massive biofuels plan based on corn ethanol. Many uncertainties do remain, such as the long-term impacts of turning away from other biofuels pathways.
Recognizing and tracking emerging risks
For corn biofuels, an emerging risk would be increased problems due to water consumption. Further, climatologists are currently predicting a massive 1000-year drought coming for the West and Midwest, i.e., much of the corn belt. If all our "eggs" were put into the corn ethanol basket, such a drought would likely cripple that part of the energy economy. This is an emerging risk that requires our close attention now. This goes for all biofuels being grown as crops in that region.
While not entirely exhaustive, this represents a fairly thorough sketch of the wide variety of possible broader social and environmental impacts presented by corn ethanol pathways. Ideally, each of these issues would have a form of resolution that could be designed and planned for as part of a way to improve the outcomes of corn ethanol systems.
Lesson 5: Solar Energy from Photovoltaics
Lesson 5: Solar Energy from Photovoltaics sxr133Overview
Overview ksc17Innovations in solar energy, specifically photovoltaics, have seen significant progress in efficiency and installation area over the past decade. The further production of photovoltaics is a necessary component for any sustainable energy portfolio. Industrial choices of raw materials, their use, flows, and wastes are central to many aspects of industrial ecology. In the case of solar materials, there are significant broader impacts questions around strategic mineral availability, mining impacts, toxicity in manufacturing, and material lifespan and end of use. The determination of system boundaries for material life cycle analysis require significant considerations of issues such as selection of cognitive values when choosing sustainability indicators, classification of boundaries (closure of sets), and framework assumptions about how materials are consumed and circulated.
Lesson Objectives
- Comprehend the scope of the science behind PV systems.
- Describe and Classify various parts of life-cycle assessments.
- Differentiate between and ethical reasons for Life-Cycle Analysis (LCA) compared to Life-Cycle Cost Assessments (LCCA).
- Recognize where in the LCA process ethical considerations can be included, such as in choosing goals and scope.
- Identify and categorize key ethical issues in the analysis of material flows for PV.
What is due for Lesson 5?
This lesson will take us one week to complete. Please refer to the Course Syllabus for specific time frames and due dates. Specific directions for the assignment below can be found within this lesson.
| Requirements | Assignment Details |
|---|---|
| To Do | Watch and familiarize yourself with all the Lesson 5 materials. |
| Read and Watch | Week 7:
Week 8:
|
| Assignment | Week 7:
Week 8:
|
Questions?
If you have any questions, please post them to our Questions? discussion forum (not email), located under the Discussions tab in Canvas. I will check that discussion forum daily to respond. While you are there, feel free to post your own responses if you, too, are able to help out a classmate.
Intro to Solar Photovoltaics (PV)
Intro to Solar Photovoltaics (PV) ews11Video: Welcome (00:41)
Video: Introduction to Solar Photovoltaics (PV) (2:07)
Video: Steps of PV Action (1:48)
Video: Varieties of PV (1:31)
Video: Solar Spectrum (1:34)
Video: Shortwave Band (3:04)
Part 2 - Life Cycle Assessment of PVs
Part 2 - Life Cycle Assessment of PVs ews11Video: PV Installation on the Rise, but What is the Impact? (3:51)
Video: Cradle to Cradle Concepts (2:06)
Video: Cradle to Grave vs. Gate to Gate (4:02)
Video: Goals and Scope of LCA (3:35)
Video: Harmonization and Other Pressures (2:59)
Video: Questioning Assumptions about Goals and Scope (2:53)
Case 1: Does PV Pay Back?
Case 1: Does PV Pay Back? ews11Video: When Does PV Begin to Pay Back? (1:43)
Video: Financial Payback and Solar Resources (4:01)
Video: Energy Paybacks (1:22)
Video: GHG Emissions, Paybacks (1:16)
Video: PV Industry Payback (2:10)
Case 2: PV is Toxic & Pollutes
Case 2: PV is Toxic & Pollutes ews11Video: Si and CdTe PV (1:05)
Video: Broadening Goals and Scope to Include Toxics (2:08)
Video: Difference in Comparative Emissions (4:45)
Video: Difference in Cradle to Gate (4:42)
Case 3: Where Should I Buy My PV?
Case 3: Where Should I Buy My PV? ews11Video: (Stakeholders) Do I, the Homeowner / Private Citizen, Really Have a Choice? (2:34)
Video: Benchmarks and metrics, global market (peak watt, etc.) (4:14)
Video: A Tiered System (3:48)
Video: QA/QC and Transparency (2:19)
Video: Clients and Value Sets (2:15)
Video: So, Where Should I Buy My PV? (2:14)
Video: Supporting the Economy (00:45)
Video: Panel Manufacturing (00:36)
Video: Installation is a Local Service: It is not Outsourceable (00:46)
Lesson 6: Drilling Impacts of Shale Gas
Lesson 6: Drilling Impacts of Shale Gas sxr133Overview
Overview ksc17
Examine possible correlations between independently acquired datasets dynamically using open source methods and sources.
Lesson Objectives
- Identify the stakeholders in hydraulic fracturing.
- Describe and categorize the possible ethical issues that emerge in the use of scientific and engineering research on hydraulic fracturing.
- Analyze the potential ethical issues around transparency of reporting, hydraulic fluid contents, and the projected certainty around well leakages.
- Categorize and justify the potential ethical issues as Research Integrity, Broader Impacts, or Embedded Ethics.
- Advanced Options:
- Level 1: Describe how groundwater is sampled and how, depending on which of the sampling methods is applied, can possibly change the understanding of the risks associated with methane leakages.
- Level 2: Define what the term "appropriate" means in the discussion of Appropriate Wastewater Management Options.
What is due for Lesson 6?
This lesson will take us one week to complete. Please refer to the Course Syllabus for specific timeframes and due dates. Specific directions for the assignment below can be found within this lesson.
| Requirements | Assignment Details |
|---|---|
| To Do | Read and familiarize yourself with all the Lesson 6 materials. |
| Read | Week 9: Read the following articles, in order:
Week 10: Read the following articles in order:
|
| Assignment | Week 9:
Week 10:
|
Questions?
If you have any questions, please post them to our Questions? discussion forum (not email), located under the Discussions tab in Canvas. I will check that discussion forum daily to respond. While you are there, feel free to post your own responses if you, too, are able to help out a classmate.
Part 1 - Impacts of Drilling Overview
Part 1 - Impacts of Drilling Overview ksc17We will begin to identify potential ethical issues in the language of science in the article titled "Impact of shale gas development on regional water quality" which appeared in the May 16th, 2013 issue of the journal Science.
In this article, we will be looking for potential ethical issues that could arise from the scientific study of the impact of shale gas on regional quality water quality.
We will look specifically at the language used in the article to help us locate issues worth further ethical consideration. Later on, we will use the Ethical Dimensions of Scientific Research approach to help us think about where else to look. There is potential for significant ethical issues because the article deals with two issues of immediate importance to contemporary society, namely, development of the energy sector and water quality.
The first sentence of the background indicates to us that natural gas is of significant concern to various regions around the world because of its ability to be a relatively clean energy source as well as reducing dependence on energy imports. As such, we are immediately told that this issue we are about to look at has significant political and environmental importance, often linking us to a variety of ethical considerations. As a transition fuel, methane is also important because it helps is to reduce emissions of CO2 from fossil fuels, various criteria pollutants (NOx, O3, CO, SO2, pm, Pb), and mercury emissions from coal burning, specifically.
Hydraulic fracturing as a way of extracting difficult to reach methane sources has the further appeal of being economically feasible. The process of hydraulic fracturing is a high-pressure process intended to crack rock about 1km below the surface and, as such, this process presents environmental risks to underground water reservoirs through possible gas migration via fractures, the later discharge of the wastewater initially used as hydraulic fluid, and accidental spills in the management of wastewater. What goes unsaid in stating these environmental risks are what these risks also pose to people exposed to such contaminants, but understand that environmental risks are almost always linked to risks to human health, livelihoods, and wellbeing.
As it is stated in the advances in paragraph, the most common problem is with faulty seals around the well casing to prevent leakage of methane. However, the incidence rate of faulty seals is in the range of 1-3% of installed wells. Methane has been detected in areas around well drilling, but there is controversy as to whether or not the methane that was detected was due to the drilling or other natural processes. Without data as to what the conditions were before drilling, what they refer to here as a pre-drilling baseline, it is difficult to determine current conditions from "normal" conditions, as methane has been known to enter into the water table naturally in some of these areas before drilling occurred. As we will see in this article, methods of measuring methane isotopes were used to help answer some of these questions.
Wastewater management of the used hydraulic fracturing fluids is going to dominate environmental debate because wastewater contains both significant chemical additives for the fracturing process as well as vast quantities of heavy metals and radioactive contaminants brought up to the surface from deep underground. As wastewater can only be reused so many times, and as fields mature, there will be growing pressure on finding better strategies for managing the wastewater.
Looking more specifically at the contaminants found in used fracturing fluid, the urgency and risks associated with wastewater management become readily apparent. According to the article, waste management can be more effective through improving three significant areas of research, that is: better modeling of what happens to contaminants of concern, increased long-term monitoring of the wells, and the dissemination of data (which includes improving transparency in the fluid contents). The paper identifies three significant impediments, however, to peer-reviewed research into the environmental impacts of well drilling. First, confidentiality requirements dictated by trade secret laws and what is legal during investigations keep information hidden. Second, the expedited rate of development is making it difficult to conduct studies within a reasonable timeframe, and the limited funds available for research into the impacts of horizontal well-drilling for shale gas. This becomes a problem because the burden becomes to prove harm is being done by this process by a wide range of stakeholders local to drilling sites, as opposed to the burden of having to prove that no harm is being done, which would be put on the drilling and energy companies.
Now, you will want to work through the entire article, reading in a close manner such as this.
Significant Principles
- Read the language of the article closely, trying to notice where certain terms can help us identify potential ethical situations, such as when terms like risk are used.
- Scientific uncertainty can lead to ethical uncertainty, such as in the case of methane migration.
- Terms like 'environmental debate' indicate both a generally public debate (in what is good for the public) along with a consideration of the environment.
- Topics like energy and water quality, particularly when combined together, will almost always have potential ethical considerations connected to them because of their overall importance to everyone involved.
- It is important to trace back to some of the outside sources covered by the review.
Potential ethical questions for consideration
- What are possible reasons for concern by members of the public (including private landowners)?
- Why would various stakeholders have such a different set of concerns and perspectives on risk?
- Is there anywhere in the research you see here as based on assumptions about uncertainty? What are those assumptions?
- What does the article identify as the significant risks to groundwater from shale drilling? Be able to describe these risks.
Part 2 - Hydraulic Fracturing Wastewater
Part 2 - Hydraulic Fracturing Wastewater ews11To do first
- Read the article "Water Pollution Risk."
- Then read "Chemical Evaluation of Flowback Brine."
- After this, read pages 1-12 of the report "Chemicals Used in Hydraulic Fracturing" and have a look through the Appendix of the chemicals list.

These articles provide significant insight into the water pollution risks concerning wastewater from hydraulic fracturing, focusing mainly on the Marcellus Shale region. You will see some common findings emerge in these three readings that pose some concern and elicit recommendations from the authors. Pay attention to these findings.
Significant Principles
- Hydraulic fracturing fluid has significant chemical additives, exposure to which can pose problems to the environment and human health.
- There are places of more certainty and less certainty (more uncertainty) about the risks posed by hydraulic fracturing fluid. Can you discern where the main difference is?
- What other key information is missing from the first two articles on pollution and chemical evaluation that would help decision makers (third article)?
Potential ethical questions for consideration
- What risks are posed by hydraulic fracturing fluids?
- What do you think the response to these risks ought to be?
- Who ought to be mitigating any of these risks?
- Is there enough certainty in the research to support concerns about the risks of wastewater? If not, where could more certainty help?
- What level of disclosure should there be in terms of wastewater fluid (pre and post use) by the industry?
- How are concerns about the future discussed here?
Part 3 - Methane Migration
Part 3 - Methane Migration ews11To do first
- Read these articles:
- "Carbon and Hydrogen Isotopic Evidence (5)"
- "Methane Contamination of Drinking Water (6)"
- "Methane in Pennsylvania water wells unrelated (7)"
- "Hydraulic Fracturing not Responsible (8)"
- Challenge: Find a well near you on FracFocus!
These articles provide significant insight into the risks concerning methane migration into groundwater from hydraulic fracturing, focusing mainly on the Marcellus Shale region. Like the articles from the prevision section, you will see some common findings emerge in these three readings that pose some concern and elicit recommendations from the authors. Pay attention to these findings.
Significant Principles
- A different set of risks are posed by methane than by wastewater itself. Be able to distinguish between these risks.
- There appear to be two sides to the argument around methane. Pay attention to the main reasons for disagreement.
- There are some important differences here between methods used in various articles. Why would a difference in methods lead to different interpretations of outcomes?
Potential ethical questions for consideration
- What risks are posed by potential methane release into groundwater?
- What do you think the response to these risks ought to be?
- Who ought to be mitigating (fixing) these risks?
- What are the main differences between uncertainty with methane release versus uncertainty with wastewater?
- Which perspective on methane release is more correct?
- Which article would you be most willing to base a decision on? Why?
- How does the selection of methods make a difference in the evidence you might have?
Lesson 7: Sustainability Systems Indicators
Lesson 7: Sustainability Systems Indicators sxr133Overview
Overview ksc17Sustainability Indicators (SI) are a tool used in an attempt to measure the status of a system for which we have no endogenous terms of success, i.e., "the sustainable state." The primary purpose of SI is to provide a measure for the effectiveness of decisions, both as a measure of previous decisions and as a projection of current decisions into the future. With obvious applications for public and corporate policy, SI are used in a variety of specific contexts that can determine the limit of their applicability in other contexts, i.e., what is a measure of sustainability in one context may not be valid under another context or definition of sustainability. This lesson will take you through some of the historical details in the development of Sustainability Indicators (SI), how SI developed as an integral part of sustainability research, and specifically, how SI are being used to measure the sustainability of cities.
Learning Objectives
- Provide the arguments for sustainability indicators.
- Identify the challenges to creating comprehensive sustainability indicators.
- Assess the shortcomings of sustainability indicators.
- Present the ethical issues that can emerge from the challenges and shortcomings to sustainability indicators.
What is due for Lesson 7?
This lesson will take us one week to complete. Please refer to the Course Syllabus for specific time frames and due dates. Specific directions for the assignment below can be found within this lesson.
| Requirements | Assignment Details |
|---|---|
| To Do | Read and familiarize yourself with all the Lesson 7 materials. |
| Read |
Week 11:
|
| Assignment |
Week 11:
|
Questions?
If you have any questions, please post them to the General Questions discussion forum (not email), located under the Discussions or the Lesson tab in Canvas. Your instructor will check that discussion forum daily to respond. While you are there, feel free to post your own responses if you are able to help out another student.
Part 1 - Sustainability Indicators
Part 1 - Sustainability Indicators ews11To do first
- If you have not yet covered concepts and theory in sustainability in a previous course within the RESS program, I would strongly recommend that you at least read the following:
- Read Chapters 1 through 3 of Sustainability Indicators - Measuring the Immeasurable?
Sustainability Indicators (SIs) emerged for the purposes of Sustainable Development as a product of ecological studies quantifying the value of certain parts of an ecosystem in an attempt to provide policymakers with a system for comparing the potential value or harm of one policy over another, i.e., understanding the trade-offs. SIs also provide decision makers with a means for measuring progress over time (e.g., improvement or decline in the system or part of the system.) A simple example is that pollution levels in water resources could indicate whether certain efforts to regulate those pollutants were effective. However, the measure of pollution levels alone does not indicate whether an action is sustainable. It is only in the context of a broader set of indicators (of parts of the system) that the measure of pollution levels would begin to inform us about the sustainability of an action or set of actions.
Urban systems studies are an area that has seen significant attempts at creating comprehensive sets of Urban SIs, as you will encounter in Chapter 3. Many researchers in sustainability and/or urban studies consider the challenge of making our cities sustainable as the main hurdle to achieving a sustainable society. This is for various reasons, including the projected growth of human populations between now and at least 2100 will be in urban centers, where more than 50% of the world's population currently lives, roughly two-thirds of which are in developing countries. Yet, for all of the projected growth, urban living (per capita) provides the best opportunity for a low-impact lifestyle (e.g., per capita, residents of NYC have the lowest greenhouse gas footprints in the U.S.) This is because of high-density living with efficient and readily available public transportation.
Significant Principles
- Sustainability Indicators (SIs) are used in decision-making processes.
- SIs should not be oversimplified or reductive.
- The use of SIs may or may not be comprehensive enough to capture all of the relevant system interactions.
- There are significant limits to the types of value that can be quantified that ecosystems provide.
- "Ecosystem Services" is a means for capturing the value of certain environmental processes (such as trees processing CO2 and providing O2) for decision makers.
- The selection process of SIs for a project that impacts a wide range of stakeholders ought to have the input of a relevant sample of those stakeholders.
Potential ethical questions for consideration
- By what processes are SIs determined?
- Who has input in the determination of SIs, and which SIs will be used in the decision process?
- Are there rhetorical or dogmatic dimensions to the determination of the SIs?
- What happens when certain functions cannot be readily quantifiable (such as the cultural significance of a given landscape)? Are they ignored?
- In what ways can SIs be value-laden?
Final Project: Create Your Own Case
Final Project: Create Your Own Case ews11Overview
Thus far, you have learned various ways to think about ethics in the context of coupled human-energy-environment systems and have put to work tools to help you conduct various types of ethical analyses. You will now look to your own interests in your career or RESS program and attempt to identify a topic that will further inform your interests. This is something you may have identified already in the course (by Week 10 or 11), or you may have come up with an entirely new topic. Either way, if you get stuck, please contact me and we can discuss.
Note:
Final document will include 1) a clear and extended description of your topic; 2) assemblage of a cluster of articles, in the form of a brief literature review; 3) an analysis using all of the Ethics and at least one of the LCA or Stakeholder matrices; 4) and a 2500-3000 (i.e., 10-12 pages @ 250 words/page) word write-up of your analysis, including the description of your topic, the literature review, an analysis of your matrices, and some prescriptive arguments suggesting how to address some of the most important issues that you identified.
Learning Objectives
- Conduct research on topic of your choice (please check with instructor if you have any confusions).
- Assemble a cluster of articles about your topic.
- Conduct ethical analysis (written out and explained).
- Draw conclusions based on your research.
What is due for the Final Case?
This lesson will take us the rest of the semester to complete. Please refer to the Course Syllabus for specific time frames and due dates. Specific directions for the assignment below can be found within this lesson.
| Requirements | Assignment Details |
|---|---|
| To Do | Read and familiarize yourself with all materials and instructions for the Final Case Study. Be sure to clarify with the instructor any confusion or questions you may have. Comments and responses to any queries cannot be guaranteed < 48 hours prior to the due date time of the assignment. |
| Read | Week 12:
|
| Assignment | Week 12:
|
Questions?
If you have any questions, please post them to our Questions? discussion forum (not e-mail), located under the discussions tab in Canvas. I will check that discussion forum daily to respond. While you are there, feel free to post your own responses if you, too, are able to help out a classmate.











