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Tackling Wicked Problems With Transdisciplinary Participating ApproachesHans-Peter Plag, April 27, 2021 CONTENTS
1 Introduction1.2 Leadership LiteracyThe importance of literacy in several areas required for leadership development has been recognized in the development of the curricula. In particular, the mandatory courses aim to develop or extend the following literacies:
The curricula of the mandatory courses all aim to develop theses literacies, and over the course of these courses, the level of literacy is successively elevated. 1.2 Concepts and PrinciplesThe intended skill sets identified in Table 3 and the desired program outcomes require that the contents of the mandatory courses address a wide range of topics including, but not limited to complexity, systems of systems, cognitive biases, deterministic versus probabilistic views of the future, risk assessment, dealing with ambiguity and seeing opportunities in ambiguity, knowledge creation in transdisciplinary partnerships, collaborative skills, team building, stakeholder engagement, tackling wicked problems, and including experiental element in tackling these problems. The development of the course curricula considered that sustainability leadership is based on a variety of principles:
The program design and course curricula also acknowledge that there are five core capabilities that enable sustainability leadership:
Finally, sustainability leadership requires an understanding of the challenges to sustainability and the capability to develop viable strategies meeting these challenges and maintaining the community embedded in the life-support system. This requires:
2 Learning Sustainability2.1 A Life-Long ProcessTraditionally, sustainability has been defined with the three pillars of social, environmental, and economic. In a systems thinking framework, these pillars are tightly intertwined. In fact, sustainability is an emergent property of a system, and only by observing and understanding the system can sustainability be understood and unsustainable system trajectories be detected and corrected. In the past, much attention has been given to sustainability education with the goal to develop sustainability literacy. Rather less attention focused on how people can learn about sustainability and how to become sustainable, especially from experience. Learning sustainability is a relatively new concern in the discussion of sustainability. Education is challenged with the fact that learning sustainability is a life-long process. Moreover, learning sustainability requires a holistic approach based on experience with the overall system. The Sustainability and Conservation Leadership program has the goal to provide an environment in which the students can learn sustainability through experience. This learning environment deepens the passion for a sustainable planetary life-support system and the human and non-human communities embedded in — and depending on — this life-support system; it emphasizes ethical reasoning as an integral part of learning sustainability, and it establishes learning sustainability as a way of life, a second nature, and integral part of culture. The learning environment emphasizes the realization that learning is a crucial component of sustainability. It also exemplifies that in a world where people, education, science, research, institutions, organizations, professional associations, industry, governments, etc. pay insufficient attention to learning sustainability, sustainability will not emerge and the life-support system will continue to deteriorate and more and more species will go extinct, potentially including Homo sapiens. 2.2 The Importance of Flows for SustainabilityFor both, human and non-human communities, sustainability emerges as a result of flows between the ELSS and the embedded communities. In fact, for humanity, sustainability requires:
Human communities are embedded in the planetary life-supports system and linked to the ELSS through flows of materials and energy (Fig. 2). For humanity as a whole, sustainability can only emerge is these flows do not degrade and deplete the ELSS. Unlike for other animals, for human communities these flows are regulated by ethics, social norms, and – more recently – economic rules (Plag and Jules-Plag, 2017). This emphasizes the central role of ethics and social norms for sustainability. Since a few hundred years, economic rules have an ever increasing weight in the determination of flows between humanity and the ELSS as well as within humanity. In fact, in modern times, economy provides the link between the ELSS and the human communities embedded in the ELSS. With this mainstream economic model increasingly determines whether sustainability can emerge or not. Based on the notion that “the purpose of a system is what it does” (POSIWID, Beer, 1985), it is clear in Fig. 2 that the de facto purpose of economy is to meet the needs of humans while safeguarding the ELSS, on which the welfare of all human and non-human communities depends. The “official” purpose of modern economy introduced by Smith (1776), i.e., the creation of human wealth, is not in agreement with the de fact purpose, and a divergence of de facto and official purpose often lead rapidly to unsustainability. The current growth-dependent mainstream economic model requires ever increasing flows, and thus, this model is in direct conflict with the requirements for sustainability to emerge. The curricula of the mandatory courses are centered on understanding the importance of flows both for sustainability and conservation. The role that ethics, social norms and the mainstream economic model play for the regulation of these flows both between ELSS and humanity and within humanity is emphasized in all assignments and research conducted by the students. Figure 2: Humanity in the planetary life-support system. Similar to all animal communities, human communities are embedded in, and interact with, the planetary life-support system. Left: For human communities, almost all interactions with the ELSS are part of the economy. Right: Sustainability of a community emerges among others as a result of the flows of material and energy between the community and the ELSS. Modified from Plag and Jules-Plag (2017). 3 Wicked Problems in Sustainability and ConservationMost sustainability and conservation-related planning problems are wicked problems (Fig. 3). Wicked problems are social or cultural problems that are difficult or impossible to solve because of incomplete or contradictory knowledge, disagreement about the problem definition, the number of people and opinions involved, the large economic burden associated with progress towards a solution, and the interconnected nature of these problems with other problems (Rittel and Webber, 1973). In short, a wicked problem has innumerable causes, is tough to describe, and does not have a right answer. Addressing environmental degradation, terrorism, and poverty are classical examples of wicked problems. Wicked problems are the opposite of hard but tame or benign problems, which can be solved in a finite time period by applying standard techniques. Not only do conventional processes fail to tackle wicked problems, they also may exacerbate situations by generating undesirable consequences. 3.1 Wicked ProblemsRittel and Webber (1973) give ten characteristics that turn a problem into a wicked problem:
Conklin (2006) generalized wicked problems with six defining characteristics:
3.2 Super Wicked ProblemSuper wicked problems have four additional characteristics: (1) time is running out; (2) there is no central authority to address the problem; (3) those seeking to solve the problem are also causing it; (4) policies discount the future irrationally (Levine et al., 2012). While the characteristics that define a wicked problem relate to the problem, the additional ones that define a super-wicked problem relate to the agent trying to solve it. Examples of super-wicked problems are shown in Fig. 4. 3.3 Strategies to Tackle Wicked ProblemsWicked and super-wicked problems can hardly be addressed in the framework of traditional discipline-based approaches, and a transdisciplinary approach is needed to tackle these problems (Brown et al., 2005; Australian Government, 2007). Importantly, the emerging fields of adaptation science (Moss et al., 2013) and sustainability science (Clark and Dickson, 2002; Miller et al., 2014) are therefore inherently transdisciplinary. For tackling these problems, there a basically three main different strategies (Roberts, 2000; and Fig. 5):
Figure 5: Strategies to tackle wicked problems. From Roberts (2000). In learning sustainability, emphasis has to be on a collaborative and participatory approach that involves all stakeholders in the process of learning from experience. Compared to authoritative and competitive approaches, which both have the disadvantage of excluding many stakeholders from tackling the problem, collaborative approaches aim to ensure that all, or at least, most points of view are considered. Participatory modeling is one of these collaborative approaches (e.g., Le Page et al, 2011; Voinov et al., 2016; Henly-Shepard et al., 2015). In a first step, participatory modeling aims at a shared understanding of the wicked problem. Shared understanding is not the same as consensus. It does not mean everybody agrees with each other. Shared understanding among stakeholders in a project means that the stakeholders know about each others' concerns and goals. Reaching a shared understanding often results into a goal statement that describes the wicked problem at a very high level. Mapping the initial dialog is important to overcome fragmentation and reach a join understand (Conklin, 2006). Having a joint understanding does not mean the same as reaching a consensus. It means that the different views of the problem and the different interests of the stakeholder are known to all and there is understanding of where these differences originate and what they mean for tackling the problem. The process of reaching a shared understanding is impacted by the mental models each agent has developed over time (e.g., Biggs et al., 2011). These mental models are the result of the individual experiences and, at the same time, determine what an individual experiences in a specific situation (Koch, 2019). Thus, the perceived image of a situation can differ significantly from the de facto real world situation (Fig. 6). Raising the awareness of these differences between the de facto real-world and the perceived world represented in mental models (Mercier and Sperber, 2017) is a prerequisite for successful participatory efforts towards sustainability and conservation. Figure 6: The de facto real world and mental models resulting from experience and cognitive biases. In a next step, the modeling aims at understanding the system underlying the wicked problem. The goal is to develop a conceptual model that could help to explore scenarios towards a common goal of a group or community. While wicked problems related to the same issue often are grossly similar, they are discretely different, which necessitates each problem to be addressed individually. Solutions cannot be generalized. Poverty in, e.g., California is grossly similar but discretely different from poverty, e.g., in Angola, and there is no practical set of characteristics that defines poverty. When tackling poverty in these two locations, the stakeholders involved, the societal framework, and the available interventions all are very different. This uniqueness of wicked problems seems to require that case studies focusing on a location and a wicked problem provide a reasonable setting for the learning experience related to sustainability and conservation. The Sustainability and Conservation Leadership program at ODU is therefore built around case studies of real-world problems. In a triple loop, the students are exposed to learning by experience in three different case studies. 4 Transdisciplinary Case Studies in Sustainability and ConservationAs pointed out in the previous section, tackling wicked problems requires a participatory transdisciplinary approach including imagination (Brown et al., 2005). The uniqueness of each wicked problem favors case studies as a principal approach to wicked problems. Therefore, a template for transdisciplinary case studies in sustainability and conservation was developed and heavily utilized in the development of the learning environment for the students. The Case Study Template (CST) is designed for tackling wicked problems related to sustainability, mitigation of threats, and adaptation to changes. For wicked problems is true what in general applies to any Gestalt: The whole is bigger than the sum of its parts (e.g., Jackson, 2008). Therefore, no matter how many disciplines and teaching modes are being integrated, there will always be “unknown” parts and emergent properties, which is a good thing. Trouble arises from an attempt to fit the whole into the sum of its parts. The CST therefore does not attempt to break down a wicked problem into parts or approach the problem with a combination of disciplines. The CST respects the integrity and wholeness of the problem and tackles it by perceiving its Gestalt through careful system mapping with a systems thinking mindset. 4.1 BackgroundThe CST is based on sustainability science and utilizes the core concepts of adaptation science. As pointed out above, sustainability is an emergent property of a complex system. Two criteria need to guide human behavior in order to maintain the health of the planetary life-support system and for sustainability to emerge: (1) humans need to consume flows in this life-support system while conserving the stocks (that is, live off the interest while conserving natural capital), and (2) increase society's stocks (i.e., human resources, civil institutions) and limit the flow of material and energy as much as possible (Brown et al., 2005). Both are central aspects of a regenerative culture. A particular challenge to the quest for sustainability arises from the need to create transformation knowledge guiding the development of interventions to make progress towards sustainability as the emergent property of the integral system that represents human communities embedded in their environment. Science needs to support society and interact with societal agents in efforts to create this transformation knowledge. Reaching societal goals such as the Sustainable Development Goals (SDG) of the United Nations presents policy makers with a complexity individually and through many interconnections. At the same time, the unsustainability of the current global trajectories of society and the ELSS introduces an unparalleled urgency to develop the necessary transformation knowledge. A major gap exists in the absence of an epistemology for the creation of transformation knowledge. While there are increasingly efforts to carry out transformation research in “real-world laboratories,” there is no thorough epistemological approach available for this new type of research. Because of its transformational and transdisciplinary character, sustainability science differs from traditional modes of knowledge production. Sustainability science links system knowledge and goal knowledge through transformation knowledge (Fig. 7). System knowledge informs about what might happen, identifies and assesses the system fragilities and the possible threats and hazards, and explores the past, current and potential future system trajectories. Natural sciences have focused on system knowledge and created a broad basis of that knowledge. Goal knowledge describes what we want to happen and what desirable futures we want to realize. Transformation knowledge identifies the interventions required to change the system trajectory and to facilitate pathways to desirable futures (Wiek et al., 2012). Over the last few decades, social sciences have developed both the epistemology and methodology for the creation of goal knowledge (Miller, 2013). The elaborate process that led to the agreement on the seventeen SDGs exemplifies the level of goal knowledge that can be reached today (United Nations, 2015), and a transition to global governance by goal-setting appears feasible. What is currently lacking is a fully developed transformation science that links the system and goal knowledge through the disturbances and interventions needed to ensure a progress towards desirable futures (Miller et al., 2014; Grunwald, 2015). Transformation science as part of sustainability science focuses on the identification of disturbances and interventions that can divert the (ELSS) from its current trajectory out of the “safe operating space for humanity” (Rockstrøm et al., 2009a; Steffen et al., 2018) onto a trajectory towards desirable futures closer to the agreed-upon goals expressed in the SDGs. Figure 7: The three main parts of sustainability science. Sustainability science relies on three main kinds of knowledge: system knowledge, goal knowledge, and transformation knowledge. While the epistemology of creating system and goal knowledge is well developed, the epistemology of creating transformation knowledge is in its beginning. From Plag and Jules-Plag (2019). However, the epistemological basis for the creation of transformation knowledge has been neglected to a large extent (Wiek et al., 2012; Miller et al., 2014; Grunwald, 2015). A major unsolved problem in the epistemology of sustainability science is therefore the understanding of how transformation knowledge can be generated, tested, and validated. This raises important epistemological questions: How is knowledge for transformation produced? What is the role of experimental interventions in producing transformation knowledge? What theories can support knowledge production for transformational sustainability? Developing the interventions to change the system trajectory in a desirable way is an iterative process (Fig. 8). Any intervention through policies, organizational changes, and technologies needs to be validated as far as possible prior to implementation, which poses epistemic challenges due to the fact that a priori validation is impossible: only during implementation can the impacts be monitored and there is no chance to go back in time and try another intervention. Model simulations can be used to explore possible futures under different scenarios for drivers, an approach used, e.g., for the Millennium Ecosystem Assessment (e.g., Carpenter et al., 2005) or the assessment of future climate change (e.g., IPCC, 2018). The iterative nature of implementing transformation (Fig. 8) requires detailed monitoring of the trajectory of the complex system after interventions in order to ensure that the resulting trajectory brings the system closer to the desired future and accepted goals and to detect in a timely manner the need for further interventions. Figure 8: The iterative nature of bending system trajectories towards desirable futures. Achieving the transformation from the current state and trend to a desired future requires an iterative process of disturbances exceeding the system's resilience and corrections to bring the system's trajectory closer to the desired future. From Plag and Jules-Plag (2019). The CST accounts for the challenges of sustainability science and aims to integrate system knowledge with the creation of goal knowledge and the development of the transformation knowledge that links the present with the desired future. In doing so, the CST has a living systems thinking perspective of the world. The very common event-oriented perspective focuses on symptoms and aims to reduce the direct causes for these symptoms. By doing so, the problem-solving remains at a superficial level that links apparent causes to symptoms without understanding the fundamental casual loops that can only be captured in a systems thinking perspective. The CST guides the investigations from the common superficial level into the fundamental level where root causes can be discovered and addressed. 4.2 Foresight, Risks, and Resilience in Times of Rapid ChangesA central focus in the cases studies aiming at tackling wicked problems is on the development of foresight and the assessment of risks associated with possible futures and interventions intended to put the system on a trajectory towards a desirable future. During times when changes are very slow and no big surprises are likely, foresight can be based on understanding the past. Over many centuries, civilizations developed foresight utilizing the knowledge of the past for extrapolations and assessments of the possible futures. However, in times of rapid and even accelerating changes, this approach is bound to fail. At the same time, when rapid changes are likely, foresight is fundamental for survival. Cognitive biases impact foresight and often lead to the exclusion of a range of possible futures from considerations (Neugarten, 2006). The need for foresight in terms of environmental, social, technological and economic futures has increased in recent decades as the pace of change has accelerated and surprise emerge at an increasing frequency. Successful conservation and sustainability leadership dealing with the impacts of increasingly more rapid change on social-ecological systems depends on the ability to anticipate the futures that may emerge. Unfortunately, most traditional scientific tools are designed to study gradual changes and are not well suited for studying a future that may emerge from rapid changes or the crossing of tipping points and thresholds. Futures research is a transdisciplinary field of inquiry that has been developing for more than 50 years (Bengston et al., 2012). It offers a set of approaches that can be used to explore the spectrum of possible futures in a setting of rapid and often unpredictable changes. Among the futures research methods are several forms of scenario analyses, and these have been applied in a number of environmental and societal risk assessments (e.g., Carpenter et al., 2005; IPCC, 2018). Scenario-based methods are also used for the development of foresight in the case studies (Ducot and Lubben, 1980). But in futures research, a range of other useful methods for exploring possible, plausible, and preferable futures has been developed, and insights into the nature of change has been broadened (e.g., Robinson, 1988). Figure 9: The spectrum of possible futures. The spectrum of possible futures includes a wide range of futures from those possible, plausible, projected, probable, and preferable, but not all of them are overlapping. Importantly, there are four archetypal futures, i.e., continue, discipline, transformation, and collapse (Bengston, 2018). Importantly, perspectives for thinking creatively and deeply about the future have been developed as part of futures research (Bengston, 2018). These development are increasingly integrated into the learning environment of the Sustainability and Conservation Leadership program at ODU and the case studies carried out by the students. In particular, the students are introduced to the concept of a spectrum of possible futures (Fig. 9), and they are confronted with the fact that the spectrum of possible futures includes four basic archetypal types of futures: Continue, Discipline, Transformation, and Collapse (Bengston, 2018). It is expected that the inclusion of futures research in the program will further improve the development of strategies for tackling the wicked problems considered with increased adaptive capacity and by more effectively accounting for surprises. Figure 10: Risk as a function of hazard probability, fragilities and assets. Once a desirable future has been agreed upon among the relevant stakeholders, backcasting can be used to develop interventions that can be implemented in the now to reach the desired future (Robinson, 1990; Dreborg, 1996; Holmberg and Robert, 2000). The design of strategies and policies can also benefit from starting at the desired outcome and utilizing backward design (Wiggens and McTighe, 2005). Interventions designed to put the system on a trajectory toward a desirable futures always come with a risk, and risk assessments provide crucial input for the decision making on which interventions to recommend. Particularly in times of rapid changes, assessing risk is a challenging task. Risk can be defined as the product of probability (of the hazardous event) and the consequence (Fig. 10). The consequence is often measured in currency and is the product of the fragility of an asset exposed to the hazard and the value of the asset. Importantly, similar to perception of the de facto world (see Fig. 6), risk perception often differs from the de facto real-world risk. As a result, risk governance often overlooks high risks and amplifies minor risks. High risks arise often from extreme but low probability events, and there is a strong tendency to put these risks into the far future (Baum, 2015). Risks associated with events that have not been experienced before, including the full spectrum of Anthropocene Risks (Keys et al., 2019) are very often underestimated (Avin et al., 2018; Kuhleman, 2019), leaving humanity exposed to global catastrophic risks (Tonn and Stiefel, 2014). Since resilience and sustainability are emergent properties of any system, these misjudgments can easily lead to negative consequences. In the case study, a focus is on reducing the differences between perceived risks and the de facto risks. Figure 11: Risk and Perception. Risk perception is impacted by cognitive biases and can differ significantly from the de facto risk in the real world. Risk perception and mental models impact decision making and the design of interventions as part of risk governance. In risk assessments, it is important to consider both the constitutional or intrinsic value of the asset as well as its process or service value. For example, bees have an intrinsic value that can be lost in an hazardous event, and they provide an ecosystem service of value to both the ecosystem and humans that benefit from this service. While the constitutional value of a human product (e.g., a building or a truck) can be easily determined, assigning intrinsic values to elements in ecosystem poses a more difficult challenge and involves considerable ethical considerations (Vucetich et al., 2015). However, for a comprehensive risk assessment both the constitutional and process value of an asset need to be considered. For ecosystems and species in the ecosystem, determining the constitutional or intrinsic value is challenging, though. In the context of case studies, particular attention needs to be on the role of values and ethics and other extra-scientific factors, the handling of uncertainties and incomplete information, as well as the efficacy of quantitative versus qualitative analysis, which all are aspects still under debate (Hatfield and Hipel, 2002). Understanding how deep-seated values and cognitive biases impact risk perception and risk assessment is fundamental for meaningful risk assessments. In the past, we have distinguished between system vulnerabilities and hazardous events. However, the term “vulnerable” has different meanings and often is understood as being exposed to a potential hazard. For the analysis of the system capability to display resilience it is helpful to use the term “fragile,” which only refers to the constitution of a system and the system processes without implying exposure to a danger that could exploit the fragility. Most risks results from the interaction of a system with its environment (Fig. 10). We denote these risks as exogenic risks. Most hazards originate in the environment, and they trigger processes inside a system that can amplify or mitigate the impacts of the hazard. There are also risks that are internal to a system. These endogenic risks are associated with failures of internal processes. Most of those risks are associated with positive feedback loops that can lead to run-away situations. In a systems thinking approach, understanding the fragilities of system stocks and flows provide a basis for a thorough risk assessment. In most case studies, the goal to be achieved (i.e., the desirable future), includes some level of resilience and sustainability. It has become more clear recently that resilience literacy and sustainability literacy require more than resilience education and sustainability education, respectively. What is needed is “learning resilience” and “learning sustainability” and these are life-long processes. Both, resilience and sustainability are emergent properties of a system. As such, there are no metrics to measure resilience and sustainability, which means they can only be assessed after the fact. With respect to resilience, a comprehensive risk assessment can inform us whether a community, ecosystem, social network, built environment, country, or humanity has a high probability of being resilient. Any disturbance of the system will provide more information on the emergent level of resilience of the system and we can learn from that and make adjustments: a never ending process of being “antifragile” (Taleb, 2012). Importantly, system properties that render a system unable to display resilience or sustainability can be identified and classified. In general, the absence of resilience results from a hazardous event or trend exploiting system fragilities. Thus, identifying the constitutional and procedural fragilities of a system and removing or reducing these fragilities will enhance the chance that the system displays resilience. The risk assessment discussed above can inform these considerations. The absence of sustainability results mainly from trends that push the system into a hazardous state or cause positive feedback loops. Identifying the trends that exclude sustainability can be a complex challenge since we need to assess the trends and use futures research and foresight to see whether these trends point towards a desirable future or a potential collapse. While we progress towards more desirable futures we need to continuously assess the projected trajectory and this is what “learning sustainability” is about. 4.3 Objectives of the Case StudyThe goal of a case study is to research a wicked problem and to develop options that would address the problem in the context of mitigation and adaptation science (Fig. 12). The CST ensures that the five main areas of adaptation science as defined in Moss et al. (2013) (i.e., the fragilities of the system, the hazards, foresight, decision making, and options) are reflected in the structure of the case study report, and that the case study takes a systems thinking approach. The CST can be used for case studies carried out by individuals or groups. A case study can be combined with a virtual (simulated) or actual participatory modeling effort. In some cases, participatory modeling utilizing role-playing can substitute for one that engages the societal agents of the wicked problem considered. Figure 12: Case Study Structure. The aim of a case study utilizing the CST is to address a wicked problem and to provide recommendations to selected social agents for transformative mitigation or adaptation actions that would help to tackle this wicked problem. The main outcome of a case study is the case study report. The version show in the diagram is Version 4.3. 4.4 Case Study Outcomes and ReadershipIn all cases, the cases study outcomes consist of a detailed case study report and a presentation of the main aspects of the cases study. In more advance case studies, the participants are also asked to prepare promotional one-page summaries as well as a reflective video giving an overview of the case study. Additionally, all participants are requested to provide personal reflections on the learning experience of doing the case study. The participants are asked to assume that they are writing the case study report in support of decision making by a specific stakeholder group engaged in tackling a real-world wicked problem. This implies that the case study paper is written in a way that a non-expert can understand the text. The recommendations are addressed to a well-defined stakeholder group engaged in tackling the wicked problem. 4.5 Case Study ReportThe case study report has nine sections corresponding to the nine boxes in Fig. 12. The sections present the following information, with appropriate attention to detail and the appropriate bibliography:
4.6 Practicalities for the Use of the Case Study ToolFor each case study, the report is being developed using the web-based tool. This collaborative tool provides separate boxes for each section and allows to give each section a meaningful headline. The tool provides means to include a bibliography and to upload figures and tables. The paerticipants are urged to use units that are System International units (e.g., km instead of miles; mm, cm, m instead inches and feet; degrees Celsius instead of degrees Fahrenheit; g and kg, instead of pounds). The case study tool includes many help pages to support the participants in this important step of preparing a scientifically sound and well-written report. For each case study, a group is set up, which includes the author(s) and additional members. At all stages, all group members can provide comments on each section, figure or table of the draft report. The authors can use the comment utility to ask questions to the group. Group members include at a minimum the authors and instructors. Stakeholders can be included as needed. For case studies as part of the internship, representatives of the host institution are also included. In some courses, other students are included to provide a peer-to-peer reviewing of the case studies. In most cases, several versions can be submitted for formal comments and grading. In all courses, the students are asked to submit early on an outline, which is commented on by the instructors. In some course, a draft final is required and graded. The final is then prepared based on the comments received on the draft final. In the grading of the final, the degree to which the student responded to the comments received is taken into account. The case study report is paired with an oral promotional presentation. This presentation can be used to produce a promotional video. The length of the oral presentation depends on whether the case study is carried out by individual students or groups of students. The goal for the presentation is to inform the audience (general public and peers) about the real-world issue and to convince the audience to care about it and act responsible. In most courses, the participants are also asked to prepare a reflective video that covers the full promotional presentation. The videos should be between 5 and 10 minutes long and give a good overview of the case study and the outcomes, as well as reflections on the learning experience of carrying our the case study. BibliographyA., V., Kolagani, N., McCall, M. K., Glynn, P. D., Kragt, M. E., Ostermann, F. O., Pierce, S. A., & Ramu, P., 2016. Modelling with stakeholders — next generation, Environmental Modelling & Software, 77, 196–220. Ahl, P., Bass, B., Germain, B., Giacomangeli, G., Haymaker, C., Karlov, N., Pritchard, K., Ramey, T., Scribner, K., & Simpson, E., 2017. Regional sea level rise, climate change, and species adaptation scenarios for florida, Tech. rep., Mitigation and Adaptation Research Institute, Old Dominion University, Available at http://www.mari-odu.org/pubs/2017_Ahl_etal.pdf. Australian Government, 2007. Tackling wicked problems, Tech. rep., Australian Public Service Commission, Australian Government, Available at http://www.enablingchange.com.au/wickedproblems.pdf". Avin, S., Wintle, B. C., Weitzdørfer, J., hEigeartaigh, S. S. O., Sutherland, W. J., & Rees, M. J., 2018. Classifying global catastrophic risks, Futures, 102, 20–26. Bakker, E. S. & Svenning, J.-C., 2018. Trophic rewilding: impact on ecosystems under global change, Philosophical Transactions of the Royal Society B: Biological Sciences, 373(1761), 20170432, Introduction to the Theme issue: Trophic rewilding: consequences for ecosystems under global change, DOI: 2018. DOI: 10.1098/rstb/373/1761. Baum, S. D., 2015. The far future argument for confronting catastrophic threats to humanity: Practical significance and alternatives, Futures, 72, 86–96. Beard, C. & Wilson, J. P., 2018. Experiential Learning – A Paractical Guide for Training Coaching and Education, Kogan Page Limited, New York, 4th edn. Beer, S., 1985. Diagnosing The System For Organizations, John Wiley & Sons, New York. Bengston, D. N., 2018. Principles for thinking about the future and foresight education, World Futures Review, 10(3), 193–202. Bengston, D. N., Kubik, G. H., & Bishop, P. C., 2012. Strengthening environmental foresight: potential contributions of futures research, Ecology and Society, 17(2), 10. Berger, A., Brown, C., Kousky, C., & Zeckhauser, R., 2011. The challenge of degraded environments: How common biases impair effective policy, Risk Analysis, 31(9), 1423–1433. Berger, K., Case, R., Garrison, C., Greenhill, A., Kennedy, A., Midgette, L., Ralston, A., Woolford, F., & A., Z., 2018. Climate change, sea level rise, and the human impacts on the american crocodile in the everglades national park, Tech. rep., Mitigation and Adaptation Research Institute, Old Dominion University, Available at http://www.mari-odu.org/pubs/2018_Berger_etal.pdf. Biggs, D., Abel, N., Knight, A. T., Leitch, A., & Langston, A. andBan, N. C., 2011. The implementation crisis in conservation planning: Could mental models help?, Conservation Letters, 4, 169–183. Brondizio, E. S., Settele, J., Díaz, S., & Ngo, H. T., eds., 2019. Global assessment report on biodiversity and ecosystem services of the Intergovernmental Science- Policy Platform on Biodiversity and Ecosystem Services, IPBES Secretariat, Bonn, Germany. Brown, V. A., Grootjans, J., Ritchie, J., Townsend, M., & Verrinder, G., 2005. Sustainability and Health: Supporting Global Ecological Integrity in Public Health, Earthscan, London. Carpenter, S. R., Pingali, P. L., Bennett, E. M., & Zurek, M. B., eds., 2005. Ecosystems and Human Well-being: Scenarios, vol. 2 of Millennium Ecosystem Assessment Reports, Island Press, Washington. Clark, W. C. & Dickson, N. M., 2002. Sustainability science: the emerging research program, Proceedings of the National Academy of Sciences, 100(14), 8059–8061. Conklin, J., 2006. Dialogue Mapping - Building Shared Understanding of Wicked Problems, John Wiley and Sons LtD, Chichester. DeSocio, A., DeVleeschower, A., McCann, J., Van~Buskirk, E., Watson, L., Williams, T., & Perez, A., 2019. Meeting the water needs of the people of Puerto Rico while safeguarding the freshwater ecosystems, Tech. rep., Mitigation and Adaptation Research Institute, Old Dominion University, Available at http://www.mari-odu.org/pubs/2019_DeSocio_etal.pdf. DeSocio, A., DeVleeschover, A., McCann, J., Perez, A., Van~Buskirk, E., Watson, L., & Williams, T., 2020. Meeting the water needs of the people in Puerto Rico while safeguarding freshwater ecosystems: A case study, Poster presented at the Undergraduate Research Symposum, Feb. 8, 2020, Old Dominion University, Norfolk, Va., available at http://www.mari-odu.org/publications/documents/PRPoster.pdf. Dreborg, K. H., 1996. Essence of backcasting, Futures, 28(9), 813–828. Ducot, C. & Lubben, G. J., 1980. A typology for scenarios, Futures, 11(1), 51–57. Felicia, P., 2011. Handbook of Research on Improving Learning and Motivation, Information Science Reference, Hershey PA. Garcia, C. A., Savilaakso, S., Verburg, R. W., Gutierrez, V., Wilson, S. J., Krug, C. B., Sassen, M., Robinson, B. E., Moersberger, H., Naimi, B., Rhemtulla, J. M., Dessard, H., Gond, V., Vermeulen, C., Trolliet, F., Oszwald, J., Quetier, F., Pietsch, S. A., Bastin, J.-F., Dray, A., Araujo, M. B., Ghazoul, J., & Waeber, P. O., 2020. The global forest transition as a human affair, One Earth, 2(5), 417–428. Garner, S. D., 2006. High-level colloquium on information literacy and lifelong learning — bibliotheca alexandrina, alexandria, egypt, november 6-9, 2005, Tech. rep., Sponsored by the United Nations Education, Scientific, and Cultural Organisation (UNESCO), National Forum on Information Literacy (NFIL) and the International Federation of Library Associations and Institutions (IFLA), Reported and Edited by Sarah Devotion Garner, J.D., M.L.I.S. Available at. Garvey, J., 2019. First Science Pub Centers on ODU Collaboration With U.S. Fish & Wildlife Service, Inside ODU, https://www.odu.edu/about/odu-publications/insideodu/2019/09/13/topstory4. Glantz, M. H. & Kelman, I., 2013. Thoughts on dealing with climate change ... as if the future matters, International Journal of Disaster Risk Science, 4(1), 1–8. Grunwald, A., 2015. Transformative Wissenschaft. Eine neue Ordnung im Wissenschaftsbetrieb?, GAIA-Ecological Perspectives for Science and Society, 24(1), 17–20. Guyot, P. & Honiden, S., 2006. Agent-based participatory simulations: merging multi-agent systems and role-playing games, J Artificial Societies and Social Simmulations, 9(4), http://jasss.soc.surrey.ac.uk/9/4/8.html. Hatfield, A. J. & Hipel, K. W., 2002. Risk and systems theory, Risk Analysis, 22(6), 1043–1057. Henly-Shepard, S., Gray, S. A., & Cox, L. J., 2015. The use of participatory modeling to promote social learning and facilitate community disaster planning, Environmental Science and Policy, 45, 109–122. Hill, E., Zajchowski, C., Plag, H.-P., Lobova, T., & DeSoci, A., 2020. Assessing high-impact practices: The role of triple-loop learning in fostering future conservation leaders, Journal of Outdoor Recreation, Education & Leadership, 12(2), 258–260. Hill, E., Zajchowski, C., DeSocio, A., Plag, H.-P., & Lobova, T., 2020a. Assessing high-impact practices: The role of triple loop learning in fostering future conservation leaders, Poster presented at the Association of Outdoor Recreation and Education: Research Symposium. Spokane, WA. Holmberg, J. & Robert, K. H., 2000. Backcasting from non-overlapping sustainability principles: a framework for strategic planning, International Journal of Sustainable Development and World Ecology, 74, 291–308. Inside ODU Editorial, 2017. U.S. Fish and Wildlife Service partnership yield conservation leadership opportunities, InsideODU, 2017(12), https://www.odu.edu/about/odu-publications/insideodu/2017/12/14/topstory6. IPCC, 2018. Global warming of 1.5\degree C, Special report 15, Intergovernmental Panel on Climate Change, https://www.ipcc.ch/sr15/. IUCN, 2016. Explaining ocean warming: Causes, scale, effects and consequences – executive summary, Tech. rep., International Union for Conservation of Nature and Natural Resources, Available at https://portals.iucn.org/library/node/46254. Jackson, I., 2008. Gestalt – a learning theory for graphic design education, International Journal of Art & Design Education, 27(1), 63–69. Kahneman, D., 2011. Thinking, Fast and Slow, Farrar, Staus, and Girrow. Kates, R., Clark, W. C., Hall, J. M., Jaeger, C., Lowe, I., McCarthy, J. J., Schellnhuber, H. J., Bolin, B., Dickson, N. M., Faucheux, S., Gallopin, G. C., Grübler, A., Huntley, B., Jäger, J., Jodha, N. S., Kasperson, R. E., Mabogunje, A., Matson, P., Mooney, H., Moore~III, B., O'Riordan, T., & Svedin, U., 2001. Sustainability science, Science, 292(5517), 641–642. Keys, P. W., Galaz, V., Dyer, M., Matthews, N., Folke, C., & Nystrøm, M.and~Cornell, S. E., 2019. Anthropocene risk, Nature Sustainability. Kirchhoff, C. J., Lemos, M. C., & Dessai, S., 2013. Actionable knowledge for environmental decision making: Broadening the usability of climate science, Annual Review of Environment and Resources, 38, 393–414. Koch, C., 2019. The Feeling of Life Itself — Why Consciousness is Widespread but Can't be Computed, The MIT Press, Cambridge, Massachusetts. Kuhlemann, K., 2019. Complexity, creeping normalcy and conceit: sexy and unsexy catastrophic risks, Foresight, 21(1), 35–52. Le Page, C., Abrini, G., Barreteau, O., Becu, N., Bommel, P., Botta, A., Dray, A., Monteil, C., & Souchere, V., 2011. Models for sharing representations, in Companion Modelling: A participatory approach to support sustainable development, edited by M. C. Etienne, pp. 69–96, Springer, Heidelberg. Levin, K., Cashore, B., Bernstein, S., & Auld, G., 2012. Overcoming the tragedy of super wicked problems: constraining our future selves to ameliorate global climate change, Policy Sciences, 45(2), 123–152. Mauser, M., Klepper, G., Rice, M., Schmalzbauer, B. S., Hackmann, H., Leemans, R., & Moore, H., 2013. Transdisciplinary global change research: the co-creation of knowledge for sustainability, Current Opinion in Environmental Sustainability, 5(3–4), 420–431. Mercier, H. & Sperber, D., 2017. The Enigma of Reason, Harvard University Press, Cambridge, Massachusetts. Miller, T. R., 2013. Constructing sustainability science: emerging perspectives and research trajectories, Sustainability science, 8(2), 279–293. Miller, T. R., Wiek, A., Sarewitz, D., Robinson, J., Olsson, L., Kriebel, D., & Loorbach, D., 2014. The future of sustainability science: a solutions-oriented research agenda, Sustainability science, 9(2), 239–246. Moss, R. H., Meehl, G. A., Lemos, M. C., Smith, J. B., Arnold, J. R., Behar, D., Brasseur, G. P., Broomell, S. B., Busalacchi, A. J., Dessai, S., Ebi, K. L., Edmonds, J. A., Furlow, J., Goddard, L., Hartmann, H. C., Hurrell, J. W., Katzenberger, J. W., Liverman, D. M., Mote, P. W., Moser, S. C., Kumar, A., Pulwarty, R. S., Seyller, E. A., Turner~II, B. L., Washington, W. M., & Wilbanks, T. J., 2013. Climate change - hell and high water: practice-relevant adaptation science, Science, 342, 696–698, DOI: 10.1126/science.1239569. National Commission on Military, National, and Public Service, 2020. Inspired to servce, Tech. rep., National Commission on Military, National, and Public Service, Final Report. Available at www.inspire2serve.gov. Neugarten, M. L., 2016. Foresight – are we looking in the right direction?, Futures, 38(8), 894–907. Plag, H.-P., 2020. Modern climate change: A symptom of a single-species, high energy pulse, in Moral Theory and Climate Change: Ethical Perspectives on a Warming Planet, edited by D. E. Miller & B. Egglestone, pp. 6–34, Taylor and Francis/Routledge. Plag, H.-P. & Jules-Plag, S.-A., 2017. An economy for humanity: Transition to an economy for a thriving humanity and planetary future, ApoGeoSpatial, 32(2, Spring 2017), 30–35. Plag, H.-P. & Jules-Plag, S.-A., 2019. A goal-based approach to the identification of essential transformation variables in support of the implementation of the 2030 Agenda for Sustainable Development, International Journal of Digital Earth, DOI: 10.1080/17538947.2018.1561761. Ripple, W. J., Wolf, C., Newsome, T. M., Galetti, M., Alamgir, M., Crist, E., Mahmoud, M. I., Laurance, W. F., & 15,364 scientist signatories from 184 countries, 2017. World scientists warning to humanity: A second notice, BioScience, 67(12), 1026–1028. Rittel, H. W. J. & Webber, M. W., 1973. Dilemmas in a general theory of planning, Policy Sciences, 4,, 155–169. Roberts, N., 2000. Wicked problems and network approaches to resolution, International Public Management Review, 1(1), http://journals.sfu.ca/ipmr/index.php/ipmr/article/view/175. Robinson, J. B., 1988. Unlearning and backcasting: Rethinking some of the questions we ask about the future, Technological Forecasting and Social Change, 33(4), 325–338. Robinson, J. B., 1990. Futures under glass: a recipe for people who hate to predict, Futures, 22(8), 820–842. Rockstrøm, J., Steffen, W., Noone, K., Persson, Å., Chapin, F. S. I., Lambin, E., Lenton, T. M., Scheffer, M., Folke, C., Schellnhuber, H., Nykvist, B., De~Wit, C. A., Hughes, T., van~der Leeuw, S., Rodhe, H., Sørlin, S., Snyder, P. K., Costanza, R., Svedin, U., Falkenmark, M., Karlberg, L., Corell, R. W., Fabry, V. J., Hansen, J., Walker, B., Liverman, D., Richardson, K., Crutzen, P., & Foley, J., 2009. A safe operating space for humanity, Nature, 461, 472–475. Sandom, C. J., Middleton, O., Lundgren, E., Rowan, J., Schowanek, S. D., Svenning, J.-C., & Faurby, S., 2020. Trophic rewilding presents regionally specific opportunities for mitigating climate change, Philosophical Transactions of the Royal Society B: Biological Sciences, 375(1794), 20190125. Scholes, R., Montanarella, L., Brainich, A., Barger, N., ten Brink, B., Cantele, M., Erasmus, B., Fisher, J., Gardner, T., Holland, T. G., Kohler, F., Kotiaho, J. S., Von~Maltitz, G., Nangendo, G., Pandit, R., Parrotta, J., Potts, M. D., Prince, S., M., S., & Willemen, L., eds., 2018. Summary for policymakers of the thematic assessment of land degradation and restoration of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services, IPBES secretariat, Bonn, Germany. Simpson, D., 2019. CURE Money Paying Off for Grant Winners and Their Students, Tech. rep., Old Dominion University, https://www.odu.edu/facultydevelopment/news/2019/8/cure_money_. Smith, A., 1776. An Inquiry into the Nature and Causes of the Wealth of Nations. Volume 1, W. Strahan, London. Steffen, W., Rockstrøm, J., Richardson, K., Lenton, T. M., Folke, C., Liverman, D., Summerhayes, C. P., Barnosky, A. D., Cornell, S. E., Crucifix, M., Donges, J. F., Fetzer, I., Lade, S. J., Scheffer, M., Winkelmann, R., & Schellnhuber, H. J., 2018. Trajectories of the earth system in the anthropocene, Proceedings of the National Academy of Sciences, 115(33), 8252–8259. Svinicki, M. D. & Dixon, N. M., 1987. The kolb model modified for classroom activities, College Teaching, 35(4), 141–146. Taleb, N. N., 2012. Antifragile - Things that gain from disorder, Random House, Inc., New York. Tonn, B. & Stiefel, D., 2014. Human extinction risk and uncertainty: Assessing conditions for action, Futures, 63, 134–144. United Nations, 2015. Transforming our world: The 2030 agenda for sustainable development, Tech. Rep. A/RES/70/1, United Nations. USGCRP, 2018. Impacts, risks, and adaptation in the united states: Fourth national climate assessment, Volume ii, 1515 pages [Reidmiller, D. R., C. W. Avery, D. R. Easterling, K. E. Kunkel, K. L. M. Lewis, T. K. Maycock, and B. C. Stewart (eds.)], U.S. Global Change Research Program, Washington, DC, USA. Vucetich, J. A., Bruskotter, J. T., & Nelson, M. P., 2015. Evaluating whether nature's intrinsic value is an axiom of or anathema to conservation, Conservation Biology, 29(2), 321-332. Wiek, A., Ness, B., Schweizer-Ries, P., Brand, F. S., & Farioli, F., 2012. From complex systems analysis to transformational change: a comparative appraisal of sustainability science projects, Sustainability Science, 7, 5–24. Wiggins, G. & McTighe, J., 2005. Understanding by Design, Association for Supervision and Curriculum Development, Alexandria, Va., 2nd edn. Wilson, E. O., 2016. Half-Earth: Our Planet's Fight for Life, Liveright Publishing Corporation, New York. |