Nancy Tuana

In this essay we develop and argue for the adoption of a more comprehensive model of research ethics than is included within current conceptions of responsible conduct of research (RCR). We argue that our model, which we label the ethical dimensions of scientific research (EDSR), is a more comprehensive approach to encouraging ethically responsible scientific research compared to the currently typically adopted approach in RCR training. This essay focuses on developing a pedagogical approach that enables scientists to better understand and appreciate one important component of this model, what we call intrinsic ethics . Intrinsic ethical issues arise when values and ethical assumptions are embedded within scientific findings and analytical methods. Through a close examination of a case study and its application in teaching, namely, evaluation of climate change integrated assessment models, this paper develops a method and case for including intrinsic ethics within research ethics training to provide scientists with a comprehensive understanding and appreciation of the critical role of values and ethical choices in the production of research outcomes

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.

Questions of whether anything exceeds reasonable sense and meaning have persisted throughout the history of philosophy. These questions have even continued in postmodern thought as well as in liberatory philosophies in which many kinds of events and lineages are experienced and seen as beyond philosophy. In this cowritten text, distinguished philosophers Nancy Tuana and Charles Scott pay particular attention to lineages and their dynamism as they develop the idea of things beyond philosophy, beyond norms. This is not a history of philosophy or a critical study of a particular philosopher but a way to engage experience around dimensions of events that are beyond measuring, counting, meaning, and value. These attunements, they assert, are vitally important for the ways people orient themselves in the world and comport themselves in it. Tuana and Scott build on the alternatives to normative ethics that they find in the work of Nietzsche, Foucault, and Anzaldúa. They urge attunement to the world as a way to speak about what is impossible to give voice to, to live in the spaces between speech and the unspeakable, and to conceptualize and articulate the boundaries of rational sensibility.

Despite recognition of the gender dimensions of climate change, there is little attention to racism in climate justice perspectives. In response, this article advocates developing an ecologically informed intersectional approach designed to disclose the ways racism contributes to the construction of illegible lives in the domain of climate policies and practices. Differential impacts of climate change, while an important dimension, is ultimately inadequate to understanding and responding to both climate justice and environmental racism. What is required is a rich understanding of the histories and lineages of the deep incorporation of racism and environmental exploitation. To catalyze such an approach to climate justice, this article develops an analysis of three instances of the intermingling of racism and environmental exploitation: climate adaptation practices in Lagos, Nigeria; the enmeshment of race and coal mining in the post–Civil War United States; and the infusing of precarity and rainforest destruction in Brazil.

Convergence research is driven by specific and compelling problems and requires deep integration across disciplines. The potential of convergence research is widely recognized, but questions remain about how to design, facilitate, and assess such research. Here we analyze a seven-year, twelve-million-dollar convergence project on sustainable climate risk management to answer two questions. First, what is the impact of a project-level emphasis on the values that motivate and tie convergence research to the compelling problems? Second, how does participation in convergence projects shape the research of postdoctoral scholars who are still in the process of establishing themselves professionally? We use an interview-based approach to characterize what the project specifically enabled in each participant’s research. We find that (a) the project pushed participants’ research into better alignment with the motivating concept of convergence research and that this effect was stronger for postdoctoral scholars than for more senior faculty. (b) Postdocs’ self-assessed understanding of key project themes, however, appears unconnected to metrics of project participation, raising questions about training and integration. Regarding values, (c) the project enabled heightened attention to values in the research of a large minority of participants. (d) Participants strongly believe in the importance of explicitly reflecting on values that motivate and pervade scientific research, but they question their own understanding of how to put value-focused science into practice. This mismatch of perceived importance with poor understanding highlights an unmet need in the practice of convergence science.

To claim that “humans have become a geological agent,” to worry that “humans are interrupting, refashioning, and accelerating natural processes” is to reinforce metaphysical divides—humans and nature, the cultural and the natural. It is furthermore to reinforce all the narratives from which these divides are animated: modernity, colonialization, enlightenment with their attendant discourses of progress, control, and purity. In its place I advocate Anthropocenean sensibilities. Sensibilities in which our attentiveness to influences and exchanges becomes heightened, where we learn to live in the midst of change, with a new responsiveness to uncertainties that render not-knowing animating rather than paralyzing.

We provide an overview of a transdisciplinary project about sustainable forest management under climate change. Our project is a partnership with members of the Menominee Nation, a Tribal Nation located in northern Wisconsin, United States. We use immersive virtual experiences, translated from ecosystem model outcomes, to elicit human values about future forest conditions under alternative scenarios. Our project combines expertise across the sciences and humanities as well as across cultures and knowledge systems. Our management structure, governance, and leadership behaviors have both fostered and constrained our work and must be continuously responsive to changing group dynamics. Our project presents opportunities for substantial contributions to society, including insights and knowledge about complementary ways of knowing, skills training, and professional development, and opportunities for reflexive learning about effective transdisciplinary, translational, and transformative scientific processes.

For computer simulation models to usefully inform climate risk management, uncertainties in model projections must be explored and characterized. Because doing so requires running the model many times over, and because computing resources are finite, uncertainty assessment is more feasible using models that demand less computer processor time. Such models are generally simpler in the sense of being more idealized, or less realistic. So modelers face a trade-off between realism and uncertainty quantification. Seeing this trade-off for the important epistemic issue that it is requires a shift in perspective from the established simplicity literature in philosophy of science.

When developing computational models to analyze the tradeoffs between climate risk management strategies (i.e., mitigation, adaptation, or geoengineering), scientists make explicit and implicit decisions that are influenced by their beliefs, values and preferences. Model descriptions typically include only the explicit decisions and are silent on value judgments that may explain these decisions. Eliciting scientists’ mental models, a systematic approach to determining how they think about climate risk management, can help to gain a clearer understanding of their modeling decisions. In order to identify and represent the role of values, beliefs and preferences on decisions, we used an augmented mental models research approach, namely values-informed mental models (ViMM). We conducted and qualitatively analyzed interviews with eleven climate risk management scientists. Our results suggest that these scientists use a similar decision framework to each other to think about modeling climate risk management tradeoffs, including eight specific decisions ranging from defining the model objectives to evaluating the model’s results. The influence of values on these decisions varied between our scientists and between the specific decisions. For instance, scientists invoked ethical values (e.g., concerns about human welfare) when defining objectives, but epistemic values (e.g., concerns about model consistency) were more influential when evaluating model results. ViMM can (i) enable insights that can inform the design of new computational models and (ii) make value judgments explicit and more inclusive of relevant values. This transparency can help model users to better discern the relevance of model results to their own decision framing and concerns.

The goal of this paper is to articulate and advocate for an enhanced role for philosophers of science in the domain of science policy as well as within the science curriculum. I argue that philosophy of science as a field can learn from the successes as well as the mistakes of bioethics and begin to develop a new model that includes robust contributions to the science classroom, research collaborations with scientists, and a role for public philosophy through involvement in science policy development. Through an analysis of two case studies, I illustrate how philosophers of science can make effective and productive contributions to science education as well as to interdisciplinary scientific research, and argue for the essential role of philosophers of science in the realm of science policy

Physically frail, badly educated girls, brought up to lead useless lives as idle gentlewomen, married to dominant husbands, and relegated to "separate spheres" of life—these phrases have often been used to describe Victorian upper-middle-class women. M. Jeanne Peterson rejects such formulations and the received wisdom they embody in favor of a careful examination of Victorian ladies and their lives. Focusing on a network of urban professional families over three generations, this book examines the scope and quality of gentlewomen's education, their physical lives, their relationship to money, their experience of family illness and death, and their relationships to men (brothers and friends as well as fathers and husbands). Peterson also examines the prominent place of work in the lives of these "leisured" Victorian ladies, both single and married. Far from idle, the mothers, wives, and daughters of Victorian clergymen, doctors, lawyers, university dons, and others were accomplished and productive members of society who made substantial public and private contributions to virtually every sphere of Victorian life.

Lay understanding and scientific accounts of female sexuality and orgasm provide a fertile site for demonstrating the importance of including epistemologies of ignorance within feminist epistemologies. Ignorance is not a simple lack. It is often constructed, maintained, and disseminated and is linked to issues of cognitive authority, doubt, trust, silencing, and uncertainty. Studying both feminist and nonfeminist understandings of female orgasm reveals practices that suppress or erase bodies of knowledge concerning women's sexual pleasures.

This essay delineates the contributions of feminist critiques of science to contemporary reconstructions of empiricism. I argue that three central tenets arise from feminist attention to the dynamics of gender and oppression in the theories and methods of science: 1) a rejection of the science/politics dichotomy; 2) an acknowledgement of the epistemic import of subjective components of knowledge; and 3) a reconfiguration of the subject of knowledge. These three tenets are illustrated and supported through examples from the history of science.

The National Science Foundation (NSF) in the United States, like many other funding agencies all over the globe, has made large investments in interdisciplinary research in the sciences and engineering, arguing that interdisciplinary research is an essential resource for addressing emerging problems, resulting in important social benefits. Using NSF as a case study for problem that might be relevant in other contexts as well, I argue that the NSF itself poses a significant barrier to such research in not sufficiently appreciating the value of the humanities as significant interdisciplinary partners. This essay focuses on the practices of philosophy as a highly valuable but currently under-appreciated partner in achieving the goals of interdisciplinary research. This essay advances a proposal for developing deeper and wider interdisciplinary research in the sciences through coupled ethical-epistemological research. I argue that this more robust model of interdisciplinary practice will lead to better science by providing resources for understanding the types of value decisions that are entrenched in research models and methods, offering resources for identifying the ethical implications of research decisions, and providing a lens for identifying the questions that are ignored, under-examined, and rendered invisible through scientific habit or lack of interest. In this way, we will have better science both in the traditional sense of advancing knowledge by building on and adding to our current knowledge as well as in the broader sense of science for the good of, namely, scientific research that better benefits society