A challenge faced by defenders of the precautionary principle is to clarify when the evidence that a harmful event might occur suffices to regard this prospect as a real possibility. Plausible versions of the principle must articulate some epistemic threshold, orde minimisrequirement, which specifies when precautionary measures are justified. Critics have argued that formulating such a threshold is problematic in the context of the precautionary principle. First, this is because the precautionary principle appears to be ambiguous about the distinction between (...) risk and uncertainty: should the principle merely be invoked when evidential probabilities are absent, or also when probabilities have low epistemic credentials? Secondly, defenders of the precautionary principle face an aggregation puzzle: in judging whether or not thede minimisrequirement has been met, how should first-order evidential probabilities and their second-order epistemic standing be aggregated? This article argues that the ambiguity can be resolved, and the epistemological puzzle can be solved. Focusing on decisions in the context of climate uncertainty, I advance a version of the precautionary principle that serves as a plausible decision rule, to be adopted in situations where its main alternative—cost–benefit analysis—does not deliver. (shrink)

A challenge faced by defenders of the precautionary principle is to clarify when the evidence that a harmful event might occur suffices to regard this prospect as a real possibility. Plausible versions of the principle must articulate some epistemic threshold, or de minimis requirement, which specifies when precautionary measures are justified. Critics have argued that formulating such a threshold is problematic in the context of the precautionary principle. First, this is because the precautionary principle appears to be ambiguous about the (...) distinction between risk and uncertainty: should the principle merely be invoked when evidential probabilities are absent, or also when probabilities have low epistemic credentials? Secondly, defenders of the precautionary principle face an aggregation puzzle: in judging whether or not the de minimis requirement has been met, how should first-order evidential probabilities and their second-order epistemic standing be aggregated? This article argues that the ambiguity can be resolved, and the epistemological puzzle can be solved. Focusing on decisions in the context of climate uncertainty, I advance a version of the precautionary principle that serves as a plausible decision rule, to be adopted in situations where its main alternative—cost–benefit analysis—does not deliver. (shrink)

Simulation-based weather and climate prediction now involves the use of methods that reflect a deep concern with uncertainty. These methods, known as ensemble prediction methods, produce multiple simulations for predictive periods of interest, using different initial conditions, parameter values and/or model structures. This paper provides a non-technical overview of current ensemble methods and considers how the results of studies employing these methods should be interpreted, paying special attention to probabilistic interpretations. A key conclusion is that, while complicated inductive (...) arguments might be given for the trustworthiness of probabilistic weather forecasts obtained from ensemble studies, analogous arguments are out of reach in the case of long-term climate prediction. In light of this, the paper considers how predictive uncertainty should be conveyed to decision makers. (shrink)

While the foundations of climate science and ethics are well established, fine-grained climate predictions, as well as policy-decisions, are beset with uncertainties. This chapter maps climate uncertainties and classifies them as to their ground, extent and location. A typology of uncertainty is presented, centered along the axes of scientific and moral uncertainty. This typology is illustrated with paradigmatic examples of uncertainty in climate science, climate ethics and climate economics. Subsequently, the chapter (...) discusses the IPCC’s preferred way of representing uncertainties and evaluates its strengths and weaknesses from a risk management perspective. Three general strategies for decision-makers to cope with climate uncertainty are outlined, the usefulness of which largely depends on whether or not decision-makers find themselves in a context of deep uncertainty. The chapter concludes by offering two recommendations to ease the work of policymakers, faced with the various uncertainties engrained in climate discourse. (shrink)

This article argues that, in public and policy contexts, the ways in which many scientists talk about uncertainty in simulations of future climate change not only facilitates communications and cooperation between scientific and policy communities but also affects the perceived authority of science. Uncertainty tends to challenge the authority of chmate science, especially if it is used for policy making, but the relationship between authority and uncertainty is not simply an inverse one. In policy contexts, many (...) scientists are compelled to talk about uncertainty but do not wish to imply that uncertainty is a serious challenge to the authority of scientific knowledge or to its substantial use in policy making. "Boundary-ordering devices, " the contextual discursive attempts to reconcile uncertainty and authority in science, depend critically for their success on their "dual" interpretation: at a general level across a boundary and differently on either side of it. The authors empirically identify a range of such boundary-ordering devices in the climate field. (shrink)

The paper addresses the evaluation of climate models and gives an overview of epistemic uncertainties in climate modeling; the uncertainties concern the data situation as well as the causal behavior of the climate system. In order to achieve reasonable results nonetheless, multimodel ensemble studies are employed in which diverse models simulate the future climate under different emission scenarios. The models jointly deliver a robust range of climate prognoses due to a broad plurality of theories, techniques, (...) and methods in climate research; the range reliably indicates the future development of the global climate. Nevertheless, the uncertainties are widely used by skeptics to challenge the IPCC’s prognoses. Such skeptical allegations can well be distinguished from points of fruitful epistemological criticism: in spite of the enduring range of prognoses, the epistemic uncertainties should not play a role in finding agreements on climate change mitigation. (shrink)

Lingering skepticism about climate change might be due in part to the way climate projections are perceived by members of the public. Variability between scientists’ estimates might give the impression that scientists disagree about the fact of climate change rather than about details concerning the extent or timing. Providing uncertainty estimates might clarify that the variability is due in part to quantifiable uncertainty inherent in the prediction process, thereby increasing people's trust in climate projections. (...) This hypothesis was tested in two experiments. Results suggest that including uncertainty estimates along with climate projections leads to an increase in participants’ trust in the information. Analyses explored the roles of time, place, demographic differences, and initial belief in climate change. Implications are discussed in terms of the potential benefit of adding uncertainty estimates to public climate projections. (shrink)

Like all human activities, scientific research is infused with values. Scientific discovery can, for example, be valued as an end in itself. The phrase ethical values is an umbrella term for much of what people care about aside from knowledge for its own sake. Ethical values encompass reasons for caring about the harms caused by climate impacts or the injustice of how those harms are distributed. The closer that research gets to informing real-world actions, the more the design of (...) that research can be examined from the perspective of ethical values. Which societal challenges does the research aim to inform? From whose perspective does a policy analysis view potential outcomes? In this chapter we use a series of examples to illustrate how researchers’ choices regarding the treatment of uncertainties can have important consequences from the perspective of ethical values. Our aims in this chapter are: to familiarize readers with the key concept of coupled ethical–epistemic choices; to build capacity for recognizing such choices within the treatment of uncertainties; to encourage engagement with ethical values as a part of climate change research; and to offer some guidance on how to start doing so. (shrink)

This paper explores what kind of uncertainty a research program governing solar climate engineering through Stratospheric Aerosol Injection (SAI) needs to account for. Specifically, it tries to answer two central issues with regards to SAI research and it’s ethical evaluation: One, what irreducible uncertainties remain throughout the decision-process, and, two, how do these remaining uncertainties affect the ethical evaluation of SAI research. The main assumption is that decisions on SAI research governance will be made under normative uncertainty, (...) i.e. situations under irreducible knowledge-constraints that arise in concrete, practical decision-contexts. These decision-contexts are multi-lateral and empirically ambiguous, and the decision-makers need to reconcile a plurality of values. While normative uncertainty complicates the ethical evaluation of policy decisions, I argue that moral considerations can be accommodated through the inclusion of recognitional, participatory justice approaches, as well as adaptive and anticipatory governance methods. (shrink)

Using climate policy debates as a case study, I argue that a certain response to the argument from inductive risk, the hedging defense, runs afoul of a reasonable ethical principle: the no-passing-...

This article critically examines a recent philosophical debate on the role of values in climate change forecasts, such as those found in assessment reports of the Intergovernmental Panel on Climate Change. On one side, several philosophers insist that the argument from inductive risk, as developed by Rudner and Douglas among others, applies to this case. AIR aims to show that ethical value judgments should influence decisions about what is sufficient evidence for accepting scientific hypotheses that have implications for (...) policy issues. Advocates of extending AIR to climate science claim that values are deeply... (shrink)

This chapter examines two approaches to climate policy: expected utility calculations and a precautionary approach. The former provides the framework for attempts to calculate the social cost of carbon. The latter approach has provided the guiding principle for the United Nations Conference of Parties from the 1992 Rio Declaration to the Paris Agreement. The chapter argues that the deep uncertainties concerning the climate system and climate damages make the exercise of trying to calculate a well-supported value for (...) the SCC impossible. Moreover, cost-benefit analyses are blind to important moral dimensions of the climate problem. Yet it is an open question to what extent an alternative, precautionary approach can result in specific policy recommendations such as the temperature targets of the Paris agreement. (shrink)

When it comes to climate change, the greatest difficulty we face is that we do not know the likely degree of change or its cost, which means that environmental policy decisions have to be made under uncertainty. This book offers an accessible philosophical treatment of the broad range of ethical and policy challenges posed by climate change uncertainty. Drawing on both the philosophy of science and ethics, Martin Bunzl shows how tackling climate change revolves around (...) weighing up our interests now against those of future generations, which requires that we examine our assumptions about the value of present costs versus future benefits. In an engaging, conversational style, Bunzl looks at questions such as our responsibility towards non-human life, the interests of the developing and developed worlds, and how the circumstances of poverty shape the perception of risk, ultimate developing and defending a view of humanity and its place in the world that makes sense of our duty to Nature without treating it as a rights bearer. This book will be of interest to students and scholars of environmental studies, philosophy, politics and sociology as well as policy makers. (shrink)

Against the background of continuing inadequacy in global efforts to address climate change and apparent social and political inertia, ever greater interest is being generated in the idea that geoengineering may offer some solution to this problem. I do not take a position, here, on whether or not geoengineering could ever be morally justifiable. My goal in this paper is more modest – but also has broader implications. I aim to show that even if some form of geoengineering might (...) be ethically acceptable in certain specific circumstances, lab-based research into such techniques could nevertheless have morally problematic consequences. I support this claim by explaining that our current state of uncertainty regarding how the impacts of geoengineering interventions could be geographically distributed may help to promote international agreement on fair rules for the governance of geoengineering. In these circumstances of scientific uncertainty, international actors also face uncertainty regarding who the winners and losers could be with respect to potential rules of geoengineering governance, thereby obstructing the pursuit of self-interest in the selection of such rules. Instead of a research first approach, then, we have reason to take a governance first approach – ensuring that fair international institutions to regulate geoengineering activities are established before further research is conducted into how the costs and benefits of such interventions could be distributed. (shrink)

While the foundations of climate science and ethics are well established, fine-grained climate predictions, as well as policy-decisions, are beset with uncertainties. This chapter maps climate uncertainties and classifies them as to their ground, extent, and location. A typology of uncertainty is presented, centered along the axes of scientific and moral uncertainty. This typology is illustrated with paradigmatic examples of uncertainty in climate science, climate ethics, and climate economics. The chapter discusses (...) the IPCC’s preferred way of representing uncertainties and evaluates its strengths and weaknesses from a risk management perspective. Three general strategies for decision-makers to cope with climate uncertainty are outlined, the usefulness of which largely depends on whether decision-makers find themselves in a context of “deep uncertainty.” The chapter concludes that various uncertainties engrained in climate discourse cannot be overcome. It offers two recommendations to ease the work of policymakers, given this predicament. (shrink)

When it comes to the public debate about the challenge of global climate change, moral questions are inextricably intertwined with epistemological ones. This manifests itself in at least two distinct ways. First, for a fixed set of epistemic standards, it may be irresponsible to delay policy-making until everyone agrees that such standards have been met. This has been extensively discussed in the literature on the precautionary principle. Second, key actors in the public debate may – for strategic reasons, or (...) out of simple carelessness – engage in the selective variation of epistemic standards in response to evidence that would threaten to undermine their core beliefs, effectively leading to epistemic double standards that make rational agreement impossible. The latter scenario is aptly described as an instance of what Stephen Gardiner calls ‘epistemic corruption’. In the present paper, I aim to give an explanation of the cognitive basis of epistemic corruption and discuss its place within the moral landscape of the debate. In particular, I argue that epistemic corruption often reflects an agent’s attempt to reduce dissonance between incoming scientific evidence and the agent’s ideological core commitments. By selectively discounting the former, agents may attempt to preserve the coherence of the latter, yet in doing so they threaten to damage the integrity of evidence-based deliberation. (shrink)

We are facing uncertainties regarding climate change and its impacts. To conceptualize and communicate these uncertainties to policy makers, the Intergovernmental Panel on Climate Change (IPCC) has introduced an uncertainty framework. In this paper, I assess the latest, most developed, version of this framework. First, I provide an interpretation of this framework, which draws from supporting documents and the practice of its users. Second, I argue that even a charitable interpretation exhibits three substantial conceptual problems. These problems (...) point towards untenable assumptions regarding evidence aggregation in the context of climate scientific findings. Third, I put forward a tentative roadmap for improving the uncertainty framework. (shrink)

We are facing uncertainties regarding climate change and its impacts. To conceptualize and communicate these uncertainties to policy makers, the Intergovernmental Panel on Climate Change (IPCC) has introduced an uncertainty framework. In this paper, I assess the latest, most developed, version of this framework. First, I provide an interpretation of this framework, which draws from supporting documents and the practice of its users. Second, I argue that even a charitable interpretation exhibits three substantial conceptual problems. These problems (...) point towards untenable assumptions regarding evidence aggregation in the context of climate scientific findings. Third, I put forward a tentative roadmap for improving the uncertainty framework. (shrink)

Over the last several years, there has been an explosion of interest and attention devoted to the problem of Uncertainty Quantification (UQ) in climate science—that is, to giving quantitative estimates of the degree of uncertainty associated with the predictions of global and regional climate models. The technical challenges associated with this project are formidable, and so the statistical community has understandably devoted itself primarily to overcoming them. But even as these technical challenges are being met, a (...) number of persistent conceptual difficulties remain. So why is UQ so important in climate science? UQ, I would like to argue, is first and foremost a tool for communicating knowledge from experts to policy makers in a way that is meant to be free from the influence of social and ethical values. But the standard ways of using probabilities to separate ethical and social values from scientific practice cannot be applied in a great deal of climate modeling, because the roles of values in creating the models cannot be discerned after the fact—the models are too complex and the result of too much distributed epistemic labor. I argue, therefore, that typical approaches for handling ethical/social values in science do not work well here. (shrink)

Integrated assessment models play a major role in the science and policy of climate change. Similarly to other widely used computational tools for addressing socially relevant problems, IAMs need to account for the key uncertainties characterizing processes and socio-economic responses. In the case of climate change, these are particularly complex given the very long-term nature of climate and the deep uncertainty characterizing technological and human systems. Here we draw from philosophical discussion of mathematical modeling of social (...) problems and review the role of uncertainty in climate-economic modeling. In agreement with the literature, we highlight the crucial role of epistemic uncertainty in IAMs. We posit that the normative components of models, more than the physical and socio-techno-economic ones, are the most fraught by uncertainty and yet the least understood. We suggest a research agenda to explore uncertainties of evaluation frameworks, transcending the current implicit normativity of IAMs. (shrink)

Philosophers continue to debate both the actual and the ideal roles of values in science. Recently, Eric Winsberg has offered a novel, model-based challenge to those who argue that the internal workings of science can and should be kept free from the influence of social values. He contends that model-based assignments of probability to hypotheses about future climate change are unavoidably influenced by social values. I raise two objections to Winsberg’s argument, neither of which can wholly undermine its conclusion (...) but each of which suggests that his argument exaggerates the influence of social values on estimates of uncertainty in climate prediction. I then show how a more traditional challenge to the value-free ideal seems tailor-made for the climate context. (shrink)

In cases in which there is the possibility of massive human losses, the threshold likelihood of their occurrence, and the non-excessive costs of their prevention, we ought to act now. This is all the more definitely the case because it may well be that this is the time-of-last-opportunity to head off one or more potential disasters, all of which may still be preventable by sufficiently rapid reductions in carbon emissions from the combustion of fossil fuel. It is unfair that the (...) present generation should incur as heavy a burden as it does of seizing the last opportunity for prevention of disasters like large sea-level rises, but the unfairness is not sufficient to make the burden unreasonable to bear, especially since it is not in fact as heavy as often believed. (shrink)

In addition to a person's character and training, the organization's ethical work climate (EWC) can assess how the organization influences an individual's ethical decision-making process by examining the individuals' perception of "what is the right thing to do" in a particular organizational environment. Relatively little research has explored which EWCs dominate military units and the impact of organizational role and environmental uncertainty on individuals in the military and their ethical decision making. In this study, we examined the predominant (...) EWCs among military units and found that certain organizational influences are associated with the specific EWCs. Based on these discoveries, we discuss the implications of EWC studies and the influence of organizational role and environmental uncertainty for researchers, as well as military leaders. (shrink)

Climate change harmfully affects social and natural systems. These outcomes adversely affect the human and natural systems, resulting in adopting related-response measures whose implementation yields similar outcomes, especially when poorly designed. Climate-related projects, actions, and policies cause harmful environmental impacts, even though the United Nations Convention on Climate Change and its subsequent instruments urge parties, when dealing with climate change, to employ methods that preserve the quality of the environment. Few studies have established the effects of (...) these environmentally, economically, culturally, and socially unsound mechanisms on public participation, although research usually proves that ecological and environmental citizenship can enhance climate action. The study also highlights gaps in the common understanding of public participation in climate action. This reflection analyses the relationships between public participation and climate response measures and concludes that uncertainty related to response measures could affect the perception of climate action by the public. The reflection, therefore, shows that many international environmental law legal instruments, policies, and scholarships attempt to address the issue. (shrink)

In this paper, we study the relationship between Economic Policy Uncertainty (EPU) and carbon dioxide (CO 2 ) emissions. Using an extensive dataset from 23 countries consisting of 6800 firm-year observations, we provide strong evidence that EPU increases firms’ CO 2 emissions. Our main inference is robust when using alternative measures of CO 2 emissions and EPU, alternative econometric specifications and samples, and several approaches to control for possible endogeneity. In a set of additional analyses, we first show that (...) a board’s characteristics (i.e., board gender diversity and board independence) significantly moderate the studied relationship. Second, cross-country characteristics (i.e., government effectiveness, control of corruption, and democracy) seem important in the relationship between EPU and CO 2 emissions. Our findings significantly contribute to the debate on firms’ ethical responsibility in managing climate change and CO 2 emissions. (shrink)

Despite increasing pressure to deal with climate change, firms have been slow to respond with effective action. This article presents a multi-level framework for a better understanding of why many firms are failing to reduce their absolute greenhouse gas emissions, which contribute to climate change. The concepts of short-termism and uncertainty avoidance from research in psychology, sociology, and organization theory can explain the phenomenon of organizational inaction on climate change. Antecedents related to short-termism and uncertainty (...) avoidance reinforce one another at three levels—individual, organizational, and institutional—and result in organizational inaction on climate change. The article also discusses the implications of this multi-level framework for research on corporate sustainability. (shrink)

In an age where issues like climate change and the unintended consequences of technological innovation are high on the ethical and political agenda, questions about the nature and extent of our responsibilities to future generations have never been more important, yet simultaneously so difficult to answer. This book takes a unique approach to the problem by drawing on diverse traditions of thinking about care (including developmental psychology, phenomenology and feminist ethics) to explore the nature and meaning of our relationship (...) with the future. Demonstrating that many influential perspectives on intergenerational ethics, including positions advanced by John Rawls, Brian Barry, and Ulrich Beck are undermined by problems relating to uncertainty, it shows that an approach based on care ethics can confront the uncertain future successfully and give a viable account of the nature and scope of future-oriented responsibilities. (shrink)

Increasing societal concerns regarding the potential deleterious effects of future climate change have galvanized efforts to manage the problem both through reduction of greenhouse gases and through development of plans to reduce the impacts of climate change that cannot be avoided. These critical activities require making decisions under conditions of considerable uncertainty regarding future conditions in physical and human systems. As the focus on providing information about future climate for taking actions to cope with climate (...) change, the science of uncertainty of climate change will develop more and more with the needs of decision makers in mind. (shrink)

ABSTRACT This paper reflects on how the issue of climate change and the general state of our planet is, among other causes, a main factor in the paralyzing divisions ailing Western societies. This situation, while unsettling to democracies, is promoting a kind of education in and through fear and I question if education can succeed under these circumstances without becoming indoctrination. This paper does not try to diminish the urgency and the importance of current environmental problems but rather expands (...) today´s perspectives and incorporates research in more constructive ways of thinking and doing. I use scientific contributions in climatology, evolution, environmental conservation, economics, and neuroscience to bring new light to today’s investigations about the human and the non-human world. Finally, I propose Deep Ecology’s principles of deep questioning, deep experience and deep commitment, as a guide for new educational and ecological practices. (shrink)

The Intergovernmental Panel on Climate Change has developed a novel framework for assessing and communicating uncertainty in the findings published in their periodic assessment reports. But how should these uncertainty assessments inform decisions? We take a formal decision-making perspective to investigate how scientific input formulated in the IPCC’s novel framework might inform decisions in a principled way through a normative decision model.

This paper discusses ethical issues surrounding Integrated Assessment Models (IAMs) of the economic effects of climate change, and how climate economists acting as policy advisors ought to represent the uncertain possibility of catastrophe. Some climate economists, especially Martin Weitzman, have argued for a precautionary approach where avoiding catastrophe should structure climate economists’ welfare analysis. This paper details ethical arguments that justify this approach, showing how Weitzman’s “fat tail” probabilities of climate catastrophe pose ethical problems for (...) widely used IAMs. The main claim is that economists who ignore or downplay catastrophic risks in their representations of uncertainty likely fall afoul of ethical constraints on scientists acting as policy advisors. Such scientists have duties to honestly articulate uncertainties and manage (some) inductive risks, or the risks of being wrong in different ways. (shrink)

This article examines initial-condition dependence and initial-condition uncertainty for climate projections and predictions. The first contribution is to provide a clear conceptual characterization of predictions and projections. Concerning initial-condition dependence, projections are often described as experiments that do not depend on initial conditions. Although prominent, this claim has not been scrutinized much and can be interpreted differently. If interpreted as the claim that projections are not based on estimates of the actual initial conditions of the world or that (...) what makes projections true are conditions in the world, this claim is true. However, it can also be interpreted as the claim that simulations used to obtain projections are independent of initial-condition ensembles. This article argues that evidence does not support this claim. Concerning initial-condition uncertainty, three kinds of initial-condition uncertainty are identified. The first is the uncertainty associated with the spread of the ensemble simulations. The second arises because the theoretical initial ensemble cannot be used in calculations and has to be approximated by finitely many initial states. The third uncertainty arises because it is unclear how long the model should be run to obtain potential initial conditions at pre-industrial times. Overall, the discussion shows that initial-condition dependence and uncertainty in climate science are more complex and important issues than usually acknowledged. 1Introduction2Projections and Predictions 2.1Predictions2.2Projections3Initial-Condition Dependence 3.1Projections 3.1.1Dynamical conditions justifying independence of initial conditions?3.1.2What projections can and cannot provide3.2Predictions4Initial-Condition Uncertainty 4.1Projections4.2Predictions5ConclusionAppendix. (shrink)

Model evaluation for long term climate predictions must be done on quantities other than the actual prediction, and a comprehensive uncertainty quantification is impossible. An ad hoc alternative is provided by coordinated model intercomparisons which typically use a “one model one vote” approach. The problem with such an approach is that it treats all models as independent and equally plausible. Reweighting all models of the ensemble for performance and dependence seems like an obvious way to improve on model (...) democracy, yet there are open questions on what constitutes a “good” model, how to define dependency, how to interpret robustness, and how to incorporate background knowledge. Under¬standing those issues has the potential to increase confidence in model predictions in modeling efforts outside of climate science where similar challenges exist. (shrink)

Climate change is a pressing phenomenon with huge potential ethical, legal and social policy implications. Climate change gives rise to intricate moral and policy issues as it involves contested science, uncertainty and risk. In order to come to scientifically and morally justified, as well as feasible, policies, targeting climate change requires an interdisciplinary approach. This special issue will identify the main challenges that climate change poses from social, economic, methodological and ethical perspectives by focusing on (...) the complex interrelations between uncertainty, values and policy in this context. This special issue brings together scholars from economics, social sciences and philosophy in order to address these challenges. (shrink)

Walter Sinnott-Armstrong argues, on the relationship between individual emissions and climate change, that “we cannot claim to know that it is morally wrong to drive a gas guzzler just for fun” or engage in other inessential emissions-producing individual activities. His concern is not uncertainty about the phenomenon of climate change, nor about human contribution to it. Rather, on Sinnott-Armstrong’s analysis the claim of individual moral responsibility for emissions must be grounded in a defensible moral principle, yet no (...) principle withstands scrutiny. I argue thatthe moral significance of individual emissions is obscured by this critique. I offer a moral principle, the threshold-contribution principle, capable of withstanding Sinnott-Armstrong’s criticisms while also plausibly explaining what’s wrong with gas-guzzling joyrides and other gratuitous emissions-producing individual acts. (shrink)

Climate models don’t give us probabilistic forecasts. To interpret their results, alternatively, as serious possibilities seems problematic inasmuch as climate models rely on contrary-to-fact assumptions: why should we consider their implications as possible if their assumptions are known to be false? The paper explores a way to address this possibilistic challenge. It introduces the concepts of a perfect and of an imperfect credible world, and discusses whether climate models can be interpreted as imperfect credible worlds. That would (...) allow one to use models for possibilistic prediction and salvage widespread scientific practice. (shrink)

Part 1. Introduction -- Introduction: Navigating the Perfect Moral Storm in Light of a Thirty-Five Year Debate -- Thirty-Five Year Climate Change Policy Debate -- Part 2. Priority Ethical Issues -- Ethical Problems with Cost Arguments -- Ethics and Scientific Uncertainty Arguments -- Atmospheric Targets -- Allocating National Emissions Targets -- Climate Change Damages and Adaptation Costs -- Obligations of Sub-national Governments, Organizations, Businesses, and Individuals -- Independent Responsibility to Act -- Part 3. The Crucial Role of (...) Ethics in Climate Change Policy Making -- Why Has Ethics Failed to Achieve Traction? -- Conclusion: Navigating the Perfect Moral Storm. (shrink)

Scientific knowledge is the most solid and robust kind of knowledge that humans have because of its inherent self-correcting character. Nevertheless, anti-evolutionists, climate denialists, and anti-vaxxers, among others, question some of the best-established scientific findings, making claims unsupported by empirical evidence. A common aspect of these claims is reference to the uncertainties of science concerning evolution, climate change, vaccination, and so on. This is inaccurate: whereas the broad picture is clear, there will always exist uncertainties about the details (...) of the respective phenomena. This book shows that uncertainty is an inherent feature of science that does not devalue it. In contrast, uncertainty advances science because it motivates further research. This is the first book on this topic that draws on philosophy of science to explain what uncertainty in science is and how it makes science advance. It contrasts evolution, climate change, and vaccination, where the uncertainties are exaggerated, and genetic testing and forensic science, where the uncertainties are usually overlooked. The goal is to discuss the scientific, psychological, and philosophical aspects of uncertainty in order to explain what it really is, what kinds of problems it actually poses, and why in the end it makes science advance. Contrary to public representations of scientific findings and conclusions that produce an intuitive but distorted view of science as certain, people need to understand and learn to live with uncertainty in science. This book is intended for anyone who wants to get a clear view of the nature of science. (shrink)

Many people are worried about the harmful effects of climate change but nevertheless enjoy some activities that contribute to the emission of greenhouse gas (driving, flying, eating meat, etc.), the main cause of climate change. How should such people make choices between engaging in and refraining from enjoyable greenhouse-gas-emitting activities? In this chapter, we look at the answer provided by decision theory. Some scholars think that the right answer is given by interactive decision theory, or game theory; and (...) moreover think that since private climate decisions are instances of the prisoner’s dilemma, one rationally should engage in these activities provided that one enjoys them. Others think that the right answer is given by expected utility theory, the best-known version of individual decision theory under risk and uncertainty. In this chapter, we review these different answers, with a special focus on the latter answer and the debate it has generated. (shrink)

Expert judgment can be seen throughout climate science and even more prominently when discussing climate tipping points. To provide an accurate characterization of expert judgment we begin by evaluating the existing literature on expertise as it relates to climate science as a whole, before then focusing the literature review on the role of expert judgment in the unique context of climate tipping points. From this we turn our attention to the structured expert elicitation protocols specifically developed (...) for producing expert judgments about tipping points. We highlight that expert elicitation is not only used for the quantification of uncertainty in this context, but also for the very identification and characterization of tipping points and their interactions, making expert judgment in itself a genuine scientific output. The central role of expert judgment in this domain raises several epistemic issues that require careful attention. Among other topics, we discuss the relationship between expert judgment and modeling, as well as the nonepistemic values that are involved in the production of expert judgments, highlighting how the elicitation protocols can be used to manage these values. In the perspective of climate change, clarifying the epistemic foundations of expert judgment in this context can help to navigate the epistemic situation between self-defeating alarmism and blind dismissal, thus contributing to a better understanding of the challenges related to climate (and Earth system) tipping points. (shrink)

Model evaluation for long-term climate predictions must be done on quantities other than the actual prediction, and a comprehensive uncertainty quantificationUncertainty quantification is impossible. An ad hoc alternative is provided by coordinated model intercomparisonsModel intercomparisons which typically use a “one model one vote” approach. The problem with such an approach is that it treats all models as independent and equally plausible. Reweighting all models of the ensemble for performance and dependence seems like an obvious way to improve on (...) model democracy, yet there are open questions on what constitutes a “good” model, how to define dependency, how to interpret robustnessRobustness, and how to incorporate background knowledgeBackground knowledge. UnderstandingUnderstanding those issues have the potential to increase confidence in model predictions in modeling efforts outside of climate scienceClimate science where similar challenges exist. (shrink)

We argue that for scientists and science communicators to build usable knowledge for various publics, they require social and political capital, skills in boundary work, and ethical acuity. Drawing on the context of communicating seasonal climate predictions to farmers in Australia, we detail four key issues that scientists and science communicators would do well to reflect upon in order to become effective and ethical intermediaries. These issues relate to the boundary work used to link science and values and thereby (...) construct public identities, emplacement, that is, the importance of situating knowledge in relation to the places with which people identify, personal and organizational processes of reflexivity, and the challenges of developing and maintaining the social and political capital necessary to simultaneously represent people’s identities and lifeworlds and the climate systems that affect them. Through a discourse analysis of in-depth interviews with Australian agro-climatologists, we suggest that three distinct “modes of extension” are apparent, namely, discursive, conceptual, and contextual. Our participants used these three modes interdependently to create knowledge that has salience, credibility, and legitimacy. They thereby generated new narratives of place, practice, and identity for Australian agriculture. (shrink)

Despite recognizing many adverse impacts, the climate science literature has had little to say about the conditions under which climate change might threaten civilization. Discussions of the mechanisms whereby climate change might cause the collapse of current civilizations has mostly been the province of journalists, philosophers, and novelists. We propose that this situation should change. In this opinion piece, we call for treating the mechanisms and uncertainties associated with climate collapse as a critically important topic for (...) scientific inquiry. Doing so requires clarifying what "civilization collapse" means and explaining how it connects to topics addressed by climate scientists. [Open access] -/- . (shrink)

1. Introduction; Elisabeth A. Lloyd and Eric Winsberg.- Section 1: Confirmation and Evidence.- 2. The Scientific Consensus on Climate Change: How Do We Know We’re Not Wrong?; Naomi Oreskes.- 3. Satellite Data and Climate Models Redux.- 3a. Introduction to Chapter 3: Satellite Data and Climate Models; Elisabeth A. Lloyd.- Ch. 3b Fact Sheet to "Consistency of Modelled and Observed Temperature Trends in the Tropical Troposphere"; Benjamin D. Santer et al..- Ch. 3c Reprint of "Consistency of Modelled and (...) Observed Temperature Trends in the Tropical Troposphere"; Benjamin D. Santer et al..- 4. The Role of ’Complex’ Empiricism in the Debates about Satellite Data and Climate Models; Elisabeth A. Lloyd.- 5. Reconciling Climate Model/Data Discrepancies: The Case of the Trees That Didn’t Bark; Michael Mann.- 6. Downscaling of Climate Information; Linda O. Mearns et al..- Section 2: Uncertainties and Robustness.- 7. The Significance of Robust Model Projections; Wendy S. Parker.- 8. Building Trust, Removing Doubt? Robustness Analysis and Climate Modeling; Jay Odenbaugh.- Section 3: Climate Models as Guides to Policy.- 9. Climate Model Confirmation: From Philosophy to Predicting Climate in the Real World; Reto Knutti.- 10. Uncertainty in Climate Science and Climate Policy; Jonathan Rougier and Michel Crucifix.- 11. Communicating Uncertainty to Policy Makers: The Ineliminable Role of Values; Eric Winsberg.- 12. Modeling Climate Policies: A Critical Look at Integrated Assessment Models; Mathias Frisch.- 13. Modelling Mitigation and Adaptation Policies to Predict their Effectiveness: The Limits of Randomized Controlled Trials; Alexandre Marcellesi and Nancy D. Cartwright. (shrink)