Language, one of humanity’s major transformative innovations, is foundational for many cultural, artistic, scientific, and economic advancements, including the creation of artificial intelligence (AI). However, in the fight against climate change, the power of such innovation is constrained due to the boring language of climate science and science communication. In this essay, we encapsulated the situation and risks of boring language in communicating climate information to the public and countering climate denialism and disinformation. Based (...) on the Serendipity-Mindsponge-3D knowledge management framework, we recommend several strategies for climate scientists and science communicators to be more creative and make their communication more interesting, including collaboration with other cultural sectors (e.g., stand-up comedians, climate fiction, etc.) and AI. (shrink)

The theoretical foundations of climate science have received little attention from philosophers thus far, despite a number of outstanding issues. We provide a brief, non-technical overview of several of these issues – related to theorizing about climates, climate change, internal variability and more – and attempt to make preliminary progress in addressing some of them. In doing so, we hope to open a new thread of discussion in the emerging area of philosophy of climate (...) class='Hi'>science, focused on theoretical foundations. (shrink)

This article debunks Bruno Latour’s seemingly pro-scientific and well-intentioned posture. I briefly summarize Latour’s constructivist, relativist, hybridist, and mystic philosophy, insisting on his radicalization in his last two books. I show that Latour’s conception is akin to “pseudo-profound bullshit”, inasmuch as he tries to hide his mysticism behind the invocation of scientific facts. I then concentrate on Latour’s politicization of climate science, showing that it is: self-contradictory from an epistemological point of view, since it presupposes scientifically established (...) facts while at the same time undermining their objectivity; counterproductive, and even dangerous, from the political point of view, since it recommends a full politicization of climate science and ignores its harmful effects. I conclude by advocating a distinction between science and politics, and by showing that Latour’s philosophy fosters our current post-truth predicament. (shrink)

I propose a distinct type of robustness, which I suggest can support a confirmatory role in scientific reasoning, contrary to the usual philosophical claims. In model robustness, repeated production of the empirically successful model prediction or retrodiction against a background of independentlysupported and varying model constructions, within a group of models containing a shared causal factor, may suggest how confident we can be in the causal factor and predictions/retrodictions, especially once supported by a variety of evidence framework. I present (...) class='Hi'>climate models of greenhouse gas global warming of the 20th Century as an example, and emphasize climate scientists’ discussions of robust models and causal aspects. The account is intended as applicable to a broad array of sciences that use complex modeling techniques. (shrink)

A number of authors, including me, have argued that the output of our most complex climate models, that is, of global climate models and Earth system models, should be assessed possibilistically. Worries about the viability of doing so have also been expressed. I examine the assessment of the output of relatively simple climate models in the context of discovery and point out that this assessment is of epistemic possibilities. At the same time, I show that the concept (...) of epistemic possibility used in the relevant studies does not fit available analyses of this concept. Moreover, I provide an alternative analysis that does fit the studies and broad climate modelling practices as well as meshes with my existing view that climate model assessment should typically be of real possibilities. On my analysis, to assert that a proposition is epistemically possible is to assert that it is not known to be false and is consistent with at least approximate knowledge of the basic way things are. I, finally, consider some of the implications of my discussion for available possibilistic views of climate model assessment and for worries about such views. I conclude that my view helps to address worries about such assessment and permits using the full range of climate models in it. (shrink)

Transdisciplinary research knits together knowledge from diverse epistemic communities in addressing social-environmental challenges, such as biodiversity loss, climate crises, food insecurity, and public health. This paper reflects on the roles of philosophy of science in transdisciplinary research while focusing on Indigenous and other subaltern forms of knowledge. We offer a critical assessment of demarcationist approaches in philosophy of science and outline a constructive alternative of transdisciplinary philosophy of science. While a demarcationist focus obscures (...) the complex relations between epistemic communities, transdisciplinary philosophy of science provides resources for meeting epistemic and political challenges of collaborative knowledge production. (shrink)

Non-epistemic values pervade climate modelling, as is now well documented and widely discussed in the philosophy of climate science. Recently, Parker and Winsberg have drawn attention to what can be termed “epistemic inequality”: this is the risk that climate models might more accurately represent the future climates of the geographical regions prioritised by the values of the modellers. In this paper, we promote value management as a way of overcoming epistemic inequality. We argue that value (...) management can be seriously considered as soon as the value-free ideal and inductive risk arguments commonly used to frame the discussions of value influence in climate science are replaced by alternative social accounts of objectivity. We consider objectivity in Longino's sense as well as strong objectivity in Harding's sense to be relevant options here, because they offer concrete proposals that can guide scientific practice in evaluating and designing so-called multi-model ensembles and, in fine, improve their capacity to quantify and express uncertainty in climate projections. (shrink)

When do probability distribution functions (PDFs) about future climate misrepresent uncertainty? How can we recognise when such misrepresentation occurs and thus avoid it in reasoning about or communicating our uncertainty? And when we should not use a PDF, what should we do instead? In this paper we address these three questions. We start by providing a classification of types of uncertainty and using this classification to illustrate when PDFs misrepresent our uncertainty in a way that may adversely affect decisions. (...) We then discuss when it is reasonable and appropriate to use a PDF to reason about or communicate uncertainty about climate. We consider two perspectives on this issue. On one, which we argue is preferable, available theory and evidence in climate science basically excludes using PDFs to represent our uncertainty. On the other, PDFs can legitimately be provided when resting on appropriate expert judgement and recognition of associated risks. Once we have specified the border between appropriate and inappropriate uses of PDFs, we explore alternatives to their use. We briefly describe two formal alternatives, namely imprecise probabilities and possibilistic distribution functions, as well as informal possibilistic alternatives. We suggest that the possibilistic alternatives are preferable. -/- . (shrink)

Recent philosophical attention to climate models has highlighted their weaknesses and uncertainties. Here I address the ways that models gain support through observational data. I review examples of model fit, variety of evidence, and independent support for aspects of the models, contrasting my analysis with that of other philosophers. I also investigate model robustness, which often emerges when comparing climate models simulating the same time period or set of conditions. Starting from Michael Weisberg’s analysis of robustness, I conclude (...) that his approach involves a version of reasoning from variety of evidence, enabling this robustness to be a confirmatory virtue.. (shrink)

Climatology is a paradigmatic complex systems science. Understanding the global climate involves tackling problems in physics, chemistry, economics, and many other disciplines. I argue that complex systems like the global climate are characterized by certain dynamical features that explain how those systems change over time. A complex system's dynamics are shaped by the interaction of many different components operating at many different temporal and spatial scales. Examining the multidisciplinary and holistic methods of climatology can help us better (...) understand the nature of complex systems in general. -/- Questions surrounding climate science can be divided into three rough categories: foundational, methodological, and evaluative questions. "How do we know that we can trust science?" is a paradigmatic foundational question (and a surprisingly difficult one to answer). Because the global climate is so complex, questions like "what makes a system complex?" also fall into this category. There are a number of existing definitions of `complexity,' and while all of them capture some aspects of what makes intuitively complex systems distinctive, none is entirely satisfactory. Most existing accounts of complexity have been developed to work with information-theoretic objects (signals, for instance) rather than the physical and social systems studied by scientists. -/- Dynamical complexity, a concept articulated in detail in the first third of the dissertation, is designed to bridge the gap between the mathematics of contemporary complexity theory (in particular the formalism of "effective complexity" developed by Gell-Mann and Lloyd [2003]) and a more general account of the structure of science generally. Dynamical complexity provides a physical interpretation of the formal tools of mathematical complexity theory, and thus can be used as a framework for thinking about general problems in the philosophy of science, including theories, explanation, and lawhood. -/- Methodological questions include questions about how climate science constructs its models, on what basis we trust those models, and how we might improve those models. In order to answer questions about climate modeling, it's important to understand what climate models look like and how they are constructed. Climate model families are significantly more diverse than are the model families of most other sciences (even sciences that study other complex systems). Existing climate models range from basic models that can be solved on paper to staggeringly complicated models that can only be analyzed using the most advanced supercomputers in the world. I introduce some of the central concepts in climatology by demonstrating how one of the most basic climate models might be constructed. I begin with the assumption that the Earth is a simple featureless blackbody which receives energy from the sun and releases it into space, and show how to model that assumption formally. I then gradually add other factors (e.g. albedo and the greenhouse effect) to the model, and show how each addition brings the model's prediction closer to agreement with observation. After constructing this basic model, I describe the so-called "complexity hierarchy" of the rest of climate models, and argue that the sense of "complexity" used in the climate modeling community is related to dynamical complexity. -/- With a clear understanding of the basics of climate modeling in hand, I then argue that foundational issues discussed early in the dissertation suggest that computation plays an irrevocably central role in climate modeling. "Science by simulation" is essential given the complexity of the global climate, but features of the climate system--the presence of non-linearities, feedback loops, and chaotic dynamics--put principled limits on the effectiveness of computational models. This tension is at the root of the staggering pluralism of the climate model hierarchy, and suggests that such pluralism is here to stay, rather than an artifact of our ignorance. Rather than attempting to converge on a single "best fit" climate model, we ought to embrace the diversity of climate models, and view each as a specialized tool designed to predict and explain a rather narrow range of phenomena. Understanding the climate system as a whole requires examining a number of different models, and correlating their outputs. This is the most significant methodological challenge of climatology. -/- Climatology's role contemporary political discourse raises an unusually high number of evaluative questions for a physical science. The two leading approaches to crafting policy surrounding climate change center on mitigation (i.e. stopping the changes from occurring) and adaptation (making post hoc changes to ameliorate the harm caused by those changes). Crafting an effective socio-political response to the threat of anthropogenic climate change, however, requires us to integrate multiple perspectives and values: the proper response will be just as diverse and pluralistic as the climate models themselves, and will incorporate aspects of both approaches. I conclude by offering some concrete recommendations about how to integrate this value pluralism into our socio-political decision making framework. (shrink)

Review of David Ludwig, Inkeri Koskinen, Zinhle Mncube, Luana Poliseli, and Luis Reyes-Galindo, eds. Global Epistemologies and Philosophies of Science. Routledge, 2021, pp.i-xviii+319.

The continued development of General Circulation Models (GCMs) towards increasing resolution and complexity is a predominantly chosen strategy to advance climate science, resulting in channelling of research and funding to meet this aspiration. Yet many other modelling strategies have also been developed and can be used to understand past and present climates, to project future climates and ultimately to support decision-making. We argue that a plurality of climate modelling strategies and an equitable distribution of funding among them (...) would be an improvement on the current predominant strategy for informing policy making. To support our claim, we use a philosophy of science approach to compare increasing resolution and complexity of General Circulation Models with three alternate examples: the use of machine learning techniques, the physical climate storyline approach, and Earth System Models of Intermediate Complexity. We show that each of these strategies prioritises a particular set of methodological aims, among which are empirical agreement, realism, comprehensiveness, diversity of process representations, inclusion of the human dimension, reduction of computational expense, and intelligibility. Thus, each strategy may provide adequate information to support different specific kinds of research and decision questions. We conclude that, because climate decision-making consists of different kinds of questions, many modelling strategies are all potentially useful, and can be used in a complementary way. (shrink)

Philosophy of science has witnessed substantial recent debate over the existence of a structural analogue of chaos, which is alleged to spell trouble for certain uses of climate models. The debate over the analogy can and should be separated from its alleged epistemic implications: chaos-like behavior is neither necessary nor sufficient for small dynamical misrepresentations to generate erroneous results. The kind of sensitivity that matters in epistemology is one that induces unsafe beliefs, and the existence of a (...) structural analogue to chaos is better seen as an explanation for known safety failures than as providing evidence for unknown ones. (shrink)

Bad philosophy is responsible for the climate and nature crises, and other global problems too that threaten our future. That sounds mad, but it is true. A philosophy of science, or of theatre or life is a view about what are, or ought to be, the aims and methods of science, theatre or life. It is in this entirely legitimate sense of “philosophy” that bad philosophy is responsible for the crises we face. First, (...) and in a blatantly obvious way, those institutions, organizations, corporations, businesses, endeavours, and activities of humanity that cause the crises and global problems we face, do so because of the aims they pursue (profit perhaps, or power, or heat and light for homes), and the methods adopted in pursuit of those aims – the philosophy in other words, built into the institution, organization, business, human activities, or whatever it may be. It is the philosophy of these institutions, organizations and activities that we need to change to put a stop to, or at least lessen the severity of, the crises we face, the global problems that confront us, above all the climate and nature crises. One institution has an especially crucial role in this respect: our universities. They are dominated in a multitude of ways by a particularly disastrous philosophy, a philosophy of inquiry which may be called knowledge-inquiry. This holds that the basic aim of the university is to acquire and apply knowledge. First, knowledge is to be acquired; once acquired, it can be applied to help solve social problems. But this philosophy of knowledge-inquiry is an intellectual disaster. As a result, universities are, in devastating and almost entirely unrecognized ways, humanitarian disasters too. Judged from the standpoint of helping to promote human welfare, the university shaped by the philosophy of knowledge-inquiry violates THREE of the four most elementary rules of rational problem solving conceivable in a wholesale, structural fashion, and it is this gross, wholesale, structural irrationality of the university, unnoticed by all but a few scientists and scholars, that is in part responsible for the creation of our grave global problems, and our current incapacity to learn how to solve them. The pursuit of knowledge, conducted in universities, within the framework of knowledge-inquiry over the decades and centuries, has produced much of great benefit to humanity. It has made the modern world possible. It has led to modern power production, modern industry and armaments, modern agriculture, modern hygiene and medicine, modern travel and communications, and the internet. But these very successes have also created many of our most serious current global problems: the climate crisis; the destruction of natural habitats, the catastrophic loss of wild life, and impending mass extinction of species (the nature crisis); the lethal character of modern war; the impact on the natural world of the rapid growth of the human population; the menace posed by nuclear weapons; pollution of earth, sea and air; threats to democracy caused in part by the internet and social media. All these grave global problems have been made possible by modern science and technology, pursued largely in universities within the framework of knowledge-inquiry. Nevertheless, it is not science and technology as such that are the problem, but science pursued in a way that is dissociated from a more fundamental task of the university to help humanity resolve conflicts and problems of living in increasingly cooperatively rational ways, so that progress may be made to a better world. Science and technology, pursued within the framework of knowledge-inquiry, create for some of us the power to act, but not the power to act wisely – not the power to learn how to resolve conflicts and problems of living in increasingly cooperatively rational ways. For that, we need our institutions of learning, above all our universities, to take as their primary task to help humanity learn how to do it. In order to do that, the philosophy of inquiry put into practice by universities needs to be dramatically transformed. We urgently need to bring about a revolution in the overall aims and methods of academic inquiry – a revolution in the philosophy of the university, all around the world, wherever possible, so that the basic aim becomes to seek and promote wisdom, construed to be the capacity, active endeavour, and perhaps desire, to realize what is of value in life, for oneself and others, wisdom in this sense including knowledge, understanding and technological know-how, but much else besides, methods being dramatically modified too so as to help achieve the new academic aim. The basic task of the university would be, not to solve problems of knowledge, but rather to help people in the social world beyond the university to resolve conflicts and problems of living so that what is of value in life may be realized by everyone, insofar as that is possible. The pursuit of knowledge would be vital, but not intellectually fundamental. The intellectual and institutional revolution we so urgently need in our universities would affect every discipline and aspect of the university; it would dramatically affect both research and education, and the whole way the university is related to the rest of the social world. The revolution, from knowledge-inquiry to wisdom-inquiry would dramatically enhance the intellectual integrity and rationality of natural science, social inquiry, the humanities and technology, the character of these disciplines and the relationships they have with one another. University education throughout the university would be dramatically improved. And academic inquiry as a whole would do what, on the whole, it fails to do at present: it would help humanity resolve conflicts and problems of living in increasingly cooperatively rational and, as a result, increasingly successful ways, progress at last being made to a genuinely good, civilized world – a world in which there is peace, justice, liberal democracy, individual freedom, education, reasonable equality, sustainable prosperity and worthwhile opportunities in life, all of these for everyone, insofar as this is possible. Why, it may be asked, has academic philosophy not noticed that we urgently need to transform the current bad philosophy of inquiry of knowledge-inquiry into the far more intellectually rigorous and humanly valuable philosophy of wisdom-inquiry, so that we can begin to do what so far we have failed to do so lamentably: learn how to avoid impending disasters, and even make progress to a better world, something that seems at present almost unthinkable given the horrors of war, poverty, political enslavement of the 20th century, and the horrors of this century so far too? The answer is that academic philosophy is in a particularly pitiful state, as philosophers themselves, are just beginning to realize and lament. That is why academic philosophers are blind to the intellectual and humanitarian disaster of the bad philosophy that dominates universities today, and inconceivable to them to them that they might have, as a disciplinary task, to ensure academic inquiry implements a good philosophy of inquiry, and advocate and argue for change if it does not. Once upon a time, in Europe at least, philosophy was an intellectual power in the world. In the 17th century it created modern science which massively increased and improved our knowledge and understanding of the world, which in turn led to the Enlightenment, the industrial revolution, and the modern world. Philosophy was once so intellectually powerful and influential that it changed the course of history. But philosophy also made in the past three disastrous intellectual blunders: the post-Cartesian blunder, the post-Newtonian blunder, and the Enlightenment blunder. Never acknowledged and corrected by subsequent philosophy right down to the present, these unrecognized intellectual blunders rendered academic philosophy the esoteric, pathetic, and powerless discipline it is today, so that throughout the last century and, so far, throughout this one, academic philosophy has remained blind to the intellectual disaster of knowledge-inquiry, and thus failed entirely to take up its proper disciplinary task of warning fellow academics of the structural irrationality of the philosophy that prevails in the university, and of proposing what steps need to be taken to put things right. Instead of performing such an urgently needed philosophical task, so-called analytic philosophy was reduced to analysing the meaning of words. Since then, there has been hardly any discernible improvement, even if analysis of concepts no longer dominates the scene. Bad academic philosophy is indeed responsible for intellectual and humanitarian failures of the university. What the three past intellectual blunders of philosophy are, why their persistence so dramatically reduces academic philosophy to a triviality, and why, furthermore, this results in the failure of scientists and scholars to see what is so blatantly bad about the philosophy prevailing in universities around the world – the failure to see what so urgently needs to be done to put right what has been wrong for so long: all this is made clear in this book. A new kind of philosophy emerges during the course of the argument, critical fundamentalism, which has as its task to keep alive imaginative and critical – that is rational – thinking about our fundamental problem: How can our human world, the world we experience and live in – the world of living things, people, consciousness, free will, meaning and value – how can all of this exist and best flourish embedded as it is in the physical universe? That problem encompasses all others of life, science and thought. Critical fundamentalism tries to improve answers to aspects of this problem; but it also seeks to encourage everyone to think about the problem, from time to time, and think about how it interacts, in both directions, with more urgent particular and specialized problems of life and thought. Critical fundamentalism sets out to help improve bad philosophy wherever it is to be found: in social, political, commercial, legal, financial, and international life; and especially in academia, in institutions of learning, so that they become devoted to enhancing the capacity of people to learn how to achieve what is of genuine value in this brief life of a few decades if we are fortunate. Critical fundamentalism does everything it can to bring about the revolution in our universities we so urgently need. If taken up by mainstream philosophy, it might really have an impact, and begin to transform universities for the better, in both intellectual and humanitarian terms, and thus, enable humanity to learn how, after the grim failures and horrors of the last century and this one, to make progress to a better world. -/- . (shrink)

In recent years, Nietzsche’s views on (natural) science attracted a considerable amount of scholarly attention. Overall, his attitude towards science tends to be one of suspicion, or ambivalence at least. My article addresses the “Nietzsche and science” theme from a slightly different perspective, raising a somewhat different type of question, more pragmatic if you like, namely: how to be a Nietzschean philosopher of science today? What would the methodological contours of a Nietzschean approach to present-day research (...) areas (such as neuroscience, astrophysics, synthetic biology or climate studies) amount to? In other words, my paper reflects a shift of focus from author studies to extrapolation. The design of my article is as follows. I will start with the question (already widely discussed in the expert literature) to what extent Friedrich Nietzsche (a classical philologist by training) managed to familiarise himself with the natural sciences of his epoch. Subsequently, I will outline some basic methodological and conceptual ingredients of Nietzsche’s philosophy of science, focussing on core issues such as “genealogy”, “interpretation”, “enhancement” and “truth”. Next, I will elucidate Nietzsche’s genealogical methodology with the help of three case studies (three representative samples if you will) taken from Nietzsche’s writings and dealing with physiology, astronomy and neuro-psychology respectively. Finally, I will present the methodological contours of a Nietzschean understanding of contemporary technoscience. (shrink)

Climate change mitigation has become a paradigm case both for externalities in general and for the game-theoretic model of the Tragedy of the Commons (ToC) in particular. This situation is worrying, as we have reasons to suspect that some models in the social sciences are apt to be performative to the extent that they can become self-fulfilling prophecies. Framing climate change mitigation as a hardly solvable coordination problem may force us into a worse situation, by changing real-world behaviour (...) to fit our model, rather than the other way around. But while this problem of the performativity of the ToC has been noted in a recent paper in this journal by Matthew Kopec, his proposed strategies for dealing with their self-fulfilling nature fall short of providing an adequate solution. Instead of relying on the idea that modelling assumptions are always strictly speaking false, this paper shows that the problem may be better framed as a problem of underdetermination between competing explanations. Our goal here is to provide a framework for choosing between this set of competing models that allows us to avoid a ‘Russian Roulette’-like situation in which we gamble with existential risk. (shrink)

One potentially extremely fruitful use of the tools of corpus analysis in the philosophy of science is to help us understand disputed terrains within the sciences that we study. For philosophers of biology, for instance, few controversies are as heated as those over the concepts we use in taxonomy to classify the living world, with the definition of ‘species’ perhaps most fundamental among them. As many understandings of biodiversity, in turn, involve counting the number of species present in (...) a given area, these taxonomic concepts thus become crucially implicated in our efforts in conservation biology and our response to climate change. In this chapter, we present a corpus of taxonomic journal papers, and illustrate how it might be used to make progress in the history and philosophy of taxonomy. What parts of the biological world do taxonomists most often study? Are these areas of focus related to other methodological commitments, or perhaps to their underlying conceptual disagreement? Are species that are more important to conservation, or economic concerns, or more important to local cultures, more or less likely to be the target of biological study? Corpus-based methods, we argue, are uniquely powerful for approaching questions such as these, and we hope that the case we present can serve as a fruitful example for others considering their implementation. (shrink)

Two great problems of learning confront humanity: learning about the nature of the universe and about ourselves and other living things as a part of the universe, and learning how to become civilized or enlightened. The first problem was solved, in essence, in the 17th century, with the creation of modern science. But the second problem has not yet been solved. Solving the first problem without also solving the second puts us in a situation of great danger. All our (...) current global problems have arisen as a result. What we need to do, in response to this unprecedented crisis, is learn from our solution to the first problem how to solve the second one. This was the basic idea of the 18th century Enlightenment. Unfortunately, in carrying out this programme, the Enlightenment made three blunders, and it is this defective version of the Enlightenment programme, inherited from the past, that is still built into the institutional/intellectual structure of academic inquiry in the 21st century. In order to solve the second great problem of learning we need to correct the three blunders of the traditional Enlightenment. This involves changing the nature of social inquiry, so that social science becomes social methodology or social philosophy, concerned to help us build into social life the progress-achieving methods of aim-oriented rationality, arrived at by generalizing the progress-achieving methods of science. It also involves, more generally, bringing about a revolution in the nature of academic inquiry as a whole, so that it takes up its proper task of helping humanity learn how to become wiser by increasingly cooperatively rational means. The scientific task of improving knowledge and understanding of nature becomes a part of the broader task of improving global wisdom. The outcome would be what we so urgently need: a kind of inquiry rationally designed and devoted to helping us make progress towards a genuinely civilized world. We would succeed in doing what the Enlightenment tried but failed to do: learn from scientific progress how to go about making social progress towards as good a world as possible. (shrink)

A recent study showed that 78% of global climate science funding flows to European and North American institutions. Dr. Quan-Hoang Vuong gives his perspective on why this is a problem for the planet.

Understanding climate change is becoming an urgent requirement for those in education. The normative values of education have long been closely aligned with the global, modernised world. The industrial model has underpinned the hidden and overt curriculum. Increasingly though, a new eco-centric orientation to economics, technology, and social organisation is beginning to shape up the post-carbon world. Unless education is up to date with the issues of climate change, the estate of education will be unable to meet its (...) task of knowledge transfer. This paper covers the basic science and ethical policy debates, and begins to outline the questions that will necessarily entangle education as we orientate ourselves to the new world that is upon us. (shrink)

Historians have shown that philosophical discussions about the implications of relativity significantly shaped the development of European philosophy of science in the 1920s. Yet little is known about American debates from this period. This paper maps the first responses to Einstein’s theory in three U.S. philosophy journals and situates these papers within the local intellectual climate. We argue that these discussions (1) stimulated the development of a distinctly American branch of philosophy of science and (...) (2) paved the way for the logical empiricists, who emigrated to the United States in the years before World War II. (shrink)

Two great problems of learning confront humanity: learning about the nature of the universe and our place in it, and learning how to become civilized. The first problem was solved, in essence, in the 17th century, with the creation of modern science. But the second problem has not yet been solved. Solving the first problem without also solving the second puts us in a situation of great danger. All our current global problems have arisen as a result. What we (...) need to do, in response to this unprecedented crisis, is learn from our solution to the first problem how to solve the second. This was the basic idea of the 18th century Enlightenment. Unfortunately, in carrying out this programme, the Enlightenment made three blunders, and it is this defective version of the Enlightenment programme that we have institutionalized in 20th century academic inquiry. In order to solve the second great problem of learning we need to correct the three blunders of the traditional Enlightenment. This involves changing the nature of social inquiry, so that social science becomes social methodology or social philosophy, concerned to help us build into social life the progress-achieving methods of aim-oriented rationality, arrived at by generalizing the progress-achieving methods of science. It also involves, more generally, bringing about a revolution in the nature of academic inquiry as a whole, so that it takes up its proper task of helping humanity learn how to become wiser by increasingly cooperatively rational means. The scientific task of improving knowledge and understanding of nature becomes a part of the broader task of improving global wisdom. (shrink)

We argue that concerns about double-counting—using the same evidence both to calibrate or tune climate models and also to confirm or verify that the models are adequate—deserve more careful scrutiny in climate modelling circles. It is widely held that double-counting is bad and that separate data must be used for calibration and confirmation. We show that this is far from obviously true, and that climate scientists may be confusing their targets. Our analysis turns on a Bayesian/relative-likelihood approach (...) to incremental confirmation. According to this approach, double-counting is entirely proper. We go on to discuss plausible difficulties with calibrating climate models, and we distinguish more and less ambitious notions of confirmation. Strong claims of confirmation may not, in many cases, be warranted, but it would be a mistake to regard double-counting as the culprit. 1 Introduction2 Remarks about Models and Adequacy-for-Purpose3 Evidence for Calibration Can Also Yield Comparative Confirmation3.1 Double-counting I3.2 Double-counting II4 Climate Science Examples: Comparative Confirmation in Practice4.1 Confirmation due to better and worse best fits4.2 Confirmation due to more and less plausible forcings values5 Old Evidence6 Doubts about the Relevance of Past Data7 Non-comparative Confirmation and Catch-Alls8 Climate Science Example: Non-comparative Confirmation and Catch-Alls in Practice9 Concluding Remarks. (shrink)

There are many branches of philosophy called “the philosophy of X,” where X = disciplines ranging from history to physics. The philosophy of artificial intelligence has a long history, and there are many courses and texts with that title. Surprisingly, the philosophy of computer science is not nearly as well-developed. This article proposes topics that might constitute the philosophy of computer science and describes a course covering those topics, along with suggested readings and (...) assignments. (shrink)

The central focus of this paper is the disjunction between the findings of climate science in revealing the threat of global warming and the failure to act appropriately to these warnings. The development of climate science can be illuminated through the perspective provided by Peircian semiotics, but efforts to account for its success as a science and its failure to convince people to act accordingly indicate the need to supplement Peirce’s ideas. The more significant gaps, (...) it is argued, call for the integration of major new ideas. It will be argued that Peirce should be viewed as a Schellingian philosopher, and it will then be shown how this facilitates integration into his philosophy of concepts developed by other philosophers and theorists within this tradition. In particular, Bourdieu’s concepts of the ‘habitus’ and ‘field’ will be integrated with Peirce’s semiotics and used to analyse the achievements and failures of climate science. It will be suggested that the resulting synthesis can augment Peirce’s evolutionary cosmology and so provide a better basis for comprehending and responding to the situation within which we find ourselves. (shrink)

The Philosophy of Social Science: A Contemporary Introduction examines the perennial questions of philosophy by engaging with the empirical study of society. The book offers a comprehensive overview of debates in the field, with special attention to questions arising from new research programs in the social sciences. The text uses detailed examples of social scientific research to motivate and illustrate the philosophical discussion. Topics include the relationship of social policy to social science, interpretive research, action explanation, (...) game theory, social scientific accounts of norms, joint intentionality, reductionism, causal modeling, case study research, and experimentation. (shrink)

James Hansen, the world’s leading climate scientist, argues that global climate destabilization could totally destroy the conditions for life on Earth, and further, that politicians are not taking effective action. Instead, they are using their power to cripple science. This situation is explained in this paper as the outcome of the successful alliance between a global class of predators and people who must be recognized as idiots taking over the institutions of government, research and education and transforming (...) governments into governments of occupation. The predators are either indifferent to the suffering they will cause, or have an agenda to use the effects of global warming to cull the world’s human population. In either case, their views are legitimated by social Darwinism. By revealing their true nature, this alliance has exposed a rift in the civilization of modernity, revealing the suppressed tradition and trajectory of the Radical Enlightenment. With its roots in the Renaissance, the Radical Enlightenment is opposed to reductionist materialism and committed to truth, liberty, justice and democracy. To revive the grand narrative of the Radical Enlightenment it will be necessary to reemplot this grand narrative as a project for creating an Ecological Civilization. This will be a civilization based on process metaphysics and a fusion of science and the humanities in human ecology. The goal projected by this narrative should be to save life on Earth from this alliance of predators and idiots. (shrink)

Philosophy has the dubious distinction of attracting and retaining proportionally fewer women than any other field in the humanities, indeed, fewer than in all but the most resolutely male-dominated of the sciences. This short article introduces a thematic cluster that brings together five short essays that probe the reasons for and the effects of these patterns of exclusion, not just of women but of diverse peoples of all kinds in Philosophy. It summarizes some of the demographic measures of (...) exclusion that are cause for concern and identifies key themes that cross-cut these discussions: gender stereotypes and climate issues, ‘cognitive distortions’ and disciplinary norms. (shrink)

Despite raising awareness and promoting knowledge and skills-development for education about climate change, efforts by the education sector to promote the development of climate change science literacy in schools is challenged by the nature of climate science. We illuminated the nature of climate science by analysing literature on the nature of science that foregrounds discussions in climate science, and found that climate science involves mostly complex systems and problems; (...) the scope of climate science is vast and interdisciplinary; most issues and problems in climate science are geographic in nature; climate science is characterised by uncertainty and disagreement; and, it is highly politicised. Unless education policymakers and curriculum designers consider these factors when formulating pedagogical intervention frameworks for a more effective and efficient climate change education; nurturing climate change science literacy in schools will be ever more elusive. (shrink)

The weaponizing of scientific expertise to oppose regulation has been extensively studied. However, the relevant studies, belonging to the emerging discipline of agnotology, remain focused on the analysis of empirical corruption: of misinformation, doubt mongering, and other practices that cynically deploy expertise to render audiences ignorant of empirical facts. This paper explores the wrongful deployment of expertise beyond empirical corruption. To do so, I develop a broader framework of morally subversive expertise, building on recent work in political philosophy (Howard, (...) 2016). Expertise is subversive if it sets up its audience to fail morally, either intentionally or negligently. I distinguish three modes of subversive expertise: empirical subversion (the focus of agnotology), normative subversion and motivational subversion. Drawing on these distinctions, I offer a revisionary account of the Trump Administration’s regulatory science as a case study. I show that the Trump Administration’s use of expertise to dismantle climate regulation, contra the standard charge, cannot be explained using the resources of agnotology alone: the Administration produced highly reliable climate assessments, detailing the risks of climate change, candidly admitting the harms of its proposed policies, and still successfully deployed these findings to justify massive climate deregulation. The lesson of the analysis is that dismissing the expertise that underpins climate deregulation as empirically corrupt ‘anti-science’ both obscures its actual role in the politics of climate change and understates its wrongfulness: it misses the breadth of the assault on moral agency that sustains climate injustice. (shrink)

In this chapter I zoom in on a topic in climate ethics that has not previously received academic scrutiny: the intersection between evolutionary ethics and climate change. I argue that in the context of climate discourse, an evolutionary perspective can be illuminating, but may also invite moral corruption and reasoning fallacies. Relating my discussion to the general theme of the book, I argue that academic philosophy is well-positioned to fulfil a specific societal role, which is particularly (...) important in the age of popular science: to raise awareness of the ethical predicaments to which scientific findings can give rise, and to highlight the normative assumptions implicit in the reasoning of science communicators. (shrink)

The COVID-19 pandemic and global climate change crisis remind us that widespread trust in the products of the scientific enterprise is vital to the health and safety of the global community. Insofar as appropriate responses to these crises require us to trust that enterprise, cultivating a healthier trust relationship between science and the public may be considered as a collective public good. While it might appear that scientists can contribute to this good by taking more initiative to communicate (...) their work to public audiences, we raise a concern about unintended consequences of an individualistic approach to such communication. (shrink)

Humankind is currently confronted with a critical challenge that determines its very existence, not only on an individual, racial, or national level but as a whole species: the fight against climate change and environmental degradation. To win this battle, humanity needs innovations and non-linear thinking. Nature has long been a substantial information source for unthinkable discoveries that save human lives. The paper suggests that by understanding the nature, emergence, and mechanism of serendipity, the survival skill of humans, humanity can (...) capitalize on it to learn from nature and generate nature-based innovations that can address the climate and environmental degradation crises. In the era of Artificial Intelligence (AI) proliferation, AI will be a vital tool providing navigational and useful information to leverage the power of serendipity in climate and sustainability science. However, an eco-surplus culture that incorporates core values pertaining to nature and sees environmental sustainability as the conscience of the times needs to be built to direct and control the immense power of AI-leveraged serendipity. Insights applied in this paper are drawn from the book titled “A New Theory of Serendipity: Nature, Emergence and Mechanism”. (shrink)

This paper argues that challenges that are grand in scope such as "lifelong health and wellbeing", "climate action", or "food security" cannot be addressed through scientific research only. Indeed scientific research could inhibit addressing such challenges if scientific analysis constrains the multiple possible understandings of these challenges into already available scientific categories and concepts without translating between these and everyday concerns. This argument builds on work in philosophy of science and race to postulate a process through which (...) non-scientific notions become part of science. My aim is to make this process available to scrutiny: what I call founding everyday ideas in science is both culturally and epistemologically conditioned. Founding transforms a common idea into one or more scientifically relevant ones, which can be articulated into descriptively thicker and evaluatively deflated terms and enable operationalisation and measurement. The risk of founding however is that it can invisibilise or exclude from realms of scientific scrutiny interpretations that are deemed irrelevant, uninteresting or nonsensical in the domain in question-but which may remain salient for addressing grand-in-scope challenges. The paper considers concepts of "wellbeing" in development economics versus in gerontology to illustrate this process. (shrink)

To study climate change, scientists employ computer models, which approximate target systems with various levels of skill. Given the imperfection of climate models, how do scientists use simulations to generate knowledge about the causes of observed climate change? Addressing a similar question in the context of biological modelling, Levins (1966) proposed an account grounded in robustness analysis. Recent philosophical discussions dispute the confirmatory power of robustness, raising the question of how the results of computer modelling studies contribute (...) to the body of evidence supporting hypotheses about climate change. Expanding on Staley’s (2004) distinction between evidential strength and security, and Lloyd’s (2015) argument connecting variety-of-evidence inferences and robustness analysis, I address this question with respect to recent challenges to the epistemology robustness analysis. Applying this epistemology to case studies of climate change, I argue that, despite imperfections in climate models, and epistemic constraints on variety-of-evidence reasoning and robustness analysis, this framework accounts for the strength and security of evidence supporting climatological inferences, including the finding that global warming is occurring and its primary causes are anthropogenic. (shrink)

In this article, I provide a historical and philosophical discussion of the so-called “science wars”. The term “science wars” refers to a series of debates which took place in the second half of the 1990s and which centered on the status of science and the nature of scientific knowledge. On the one hand, a group of authors reacted against what they perceived as a “postmodern” attack on science. This in turn led to several reactions from those (...) who were labeled as “postmodernists”. Among these, some authors in turn claimed that it were the scientists and their epigones who were the real aggressors, using the authority of science to attack any form of critical thinking and even democracy itself. I first provide a short historical overview and analysis of the science wars. The aim of this overview is to show how critics of postmodernism ignored differences between different approaches in science studies and in this way constructed the idea of the existence of a homogeneous postmodern attack on science. This resulted in an intellectual trench war, in which more nuanced positions got overlooked, being trapped in the no man’s land between two extreme positions. After this historical overview, I explore this no man’s land. I discuss several scholars and approaches within science studies that had been grouped together by critics of postmodernism. I will focus on the differences between these approaches, thus providing a more nuanced picture of science studies. Finally, I argue for the relevance of revisiting the science wars. Blindly labelling (certain approaches in) science studies as “anti science” disables us from using important insights from these studies, insights which could be relevant in dealing with complex societal issues in which scientific knowledge plays a role such as climate change. (shrink)

The debates on the scientificity of social sciences in general, and sociology in particular, are recurring. From the original methodenstreitat the end the 19th Century to the contemporary controversy on the legitimacy of “regional epistemologies”, a same set of interrogations reappears. Are social sciences really scientific? And if so, are they sciences like other sciences? How should we conceive “research programs” Lakatos (1978) or “research traditions” for Laudan (1977) able to produce advancement of knowledge in the field of social and (...) human phenomena? Is the progress of knowledge in social sciences similar to the one generally observed in natural sciences? Is it possible to evaluate the relative merits of each one of these research programs? -/- These debates are important vectors of social and intellectual polarization. The historical divide between the positivist and the hermeneutics poles precedes the structure of the contemporary debate around the epistemic space of social sciences, It is not only a question of renewing the opposition between a monist view of sciences (e.g. McIntyre, 1996) and a dualistic one (e.g. Geertz, 1973) or even a trialist view of sciences (e.g. Lepenies, 1985). It is also a question of asserting dichotomies transformed into framework (including when it is a question of exceeding them): nature-culture, nomothetic-idiographic, models-narrative, structure-history, cause-reason, explanation-comprehension. -/- In this short introduction, we provide, in section 2, a first overview of this epistemological debate in social science. Section 3 proposes a different standpoint on the same questions, by introducing both ontological and methodological aspects in this basic epistemological debate. Namely, following (Hollis, 1994) oppositions of the explanation - understanding, causes - meaning, etc., types discussed in the firsts ection are comparatively examined together with oppositions of the structure - action, holism - individualism types. This allows us to discus show multi-agent design, by integrating various dimensions and standpoints in the same framework (Phan, Amblard, 2007, Chapters 1, 5, 14) can help us to shift these boundaries, and to bypass these oppositions. As model building and ontology design are at the core of this process (Phan, Amblard, 2007, Chapter 12), Section4 discusses various issues of the art of modelling, starting both from economists’ and sociologists’ current standpoints. (shrink)

In this article, we claim that recent developments in climate science and renewable energy should prompt a reframing of debates surrounding climate change mitigation. Taken together, we argue that these developments suggest (1) global climate collapse in this century is a non-negligible risk, (2) mitigation offers substantial benefits to current generations, and (3) mitigation by some can generate social tipping dynamics that could ultimately make renewables cheaper than fossil fuels. We explain how these claims undermine familiar (...) framings of climate change, wherein mitigation is understood as self-sacrifice that individuals and governments must be morally persuaded or incentivized to undertake. [Open access]. (shrink)

Public discussions of science are often marred by two pernicious phenomena: a widespread rejection of scientific findings (e.g., the reality of anthropogenic climate change, the conclusion that vaccines do not cause autism, or the validity of evolutionary theory), coupled with an equally common acceptance of pseudoscientific notions (e.g., homeopathy, psychic readings, telepathy, tall tales about alien abductions, and so forth). The typical reaction by scientists and science educators is to decry the sorry state of science literacy (...) among the general public, and to call for more science education as the answer to both problems. But the empirical evidence concerning the relationship between science literacy, rejection of science and acceptance of pseudoscience is mixed at best. In this chapter I argue that—while certainly important—efforts at increasing public knowledge of science (science education) need to be complemented by attention to common logical fallacies (philosophy), cognitive biases and dissonance (psychology), and the role of ideological commitments (sociology). Even this complex, multi-disciplinary approach to science education will likely only yield measurable results in the very long term. Meanwhile science remains, as Carl Sagan famously put it, a candle in the dark, delicate and in need of much nurturing. (shrink)

Contrary to economics or history, for example, there does not exist an organized field dedicated to the philosophy of political science. Given that the philosophical issues raised by political science research are just as pressing and vibrant as those raised in these more organized fields, fostering a field that labels itself Philosophy of Political Science (PoPS) is important. PoPS is advanced here as a fruitful meeting place where both philosophers and practicing political scientists contribute and (...) discuss—with philosophical discussions that are close to and informed by actual developments in political science, making philosophy of science continuous with the sciences in line with contemporary naturalist philosophy of science. The topics scrutinized in the different chapters of the Handbook will figure prominently in PoPS, as we lay out in this chapter. (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.

Climate change adaptation is largely a local matter, and adaptation planning can benefit from local climate change projections. Such projections are typically generated by accepting climate model outputs in a relatively uncritical way. We argue, based on the IPCC’s treatment of model outputs from the CMIP5 ensemble, that this approach is unwarranted and that subjective expert judgment should play a central role in the provision of local climate change projections intended to support decision-making.

Abstract: The paper argues that mainstream economics and mainstream philosophy of natural science had much in common during the period 1945-1965. It examines seven common features of the two fields and suggests a number of historical developments that might help explain these similarities. The historical developments include: the Vienna Circle connection, the Samuelson-Harvard-Foundations connection, and the Cold War operations research connection.

Margaret Atwood and David Suzuki are two of the most prominent Canadian public ‎intellectuals ‎involved in the global warming debate. They both argue that anthropogenic global ‎warming is ‎occurring, warn against its grave consequences, and urge governments and the ‎public to take ‎immediate, decisive, extensive, and profound measures to prevent it. They differ, ‎however, in the ‎reasons and evidence they provide in support of their position. While Suzuki ‎stresses the scientific ‎evidence in favour of the global warming theory and the (...) scientific ‎consensus around it, Atwood is ‎suspicious of the objectivity of science, and draws on an ‎idiosyncratic neo-Malthusian theory of ‎human development. Their implicit views ‎about the cognitive authority of science may be ‎identified with Critical Contextual Empiricism ‎and Feminist Standpoint Epistemology, respectively, ‎both of which face difficulties with ‎providing solid grounds for the position they advocate.‎ ‎. (shrink)

I outline the theoretical framework of, and three research programs within American speculative philosophy of science during the period 1900-1931. One program applies verificationism to research in psychology, one investigates the methodology of research programs, and one analyses scientific explanation and other scientific concepts. The primary sources for my outline are works by Morris Raphael Cohen, Grace Andrus de Laguna, Theodore de Laguna, Edgar Arthur Singer Jr., Harold Robert Smart, and Marie Collins Swabey. I also use my outline (...) to provide a partial comparison of American speculative philosophy of science and 1930s logical positivism. My comparison suggests that logical positivism was a proposal for substantially narrowing down and winding back American philosophy of science and was based on positions that were already problematized in the American context. -/- . (shrink)

Philosophy of Science; Ukraine; Polysytemic nature of theories; Practical theories; Subsystems of a theory.

This article addresses the contributions of the literature on the new mechanistic philosophy of science for the scientific practice of model building in ecology. This is reflected in a one-to-one interdisciplinary collaboration between an ecologist and a philosopher of science during science-in-the-making. We argue that the identification, reconstruction and understanding of mechanisms is context-sensitive, and for this case study mechanistic modeling did not present a normative role but a heuristic one. We expect our study to provides (...) useful epistemic tools for the improvement of empirically-riven work in the debates about mechanistic explanation of ecological phenomena. (shrink)

Kierkegaard's Either-Or is a book about the choice between aesthetic, ethical, and religious approaches to life. I show that Either-Or also contains a proposal for philosophy of science, and in particular, about the ideal epistemic state for human beings. Whereas the Cartesian-Hegelian tradition conceived of the ideal state as one of detached deliberation -- i.e. "seeing the world as it is in itself" -- Kierkegaard envisions the ideal state as the achievement of equilibrium between the "spectator" and "actor" (...) aspects of the human being. Kierkegaard's proposal thus sets the stage for Niels Bohr's "epistemological lesson of quantum mechanics". (shrink)

This textbook is a comprehensive, engaging, and user-friendly introduction to philosophy of science written by a philosopher and a scientist. By exploring traditional debates within philosophy of science, as well as analysing contemporary scientific controversies for philosophical bias, the reader is invited to reflect upon how philosophical assumptions influence scientific theory, methods, and practice. -/- Key features: -/- - Is an accessible introduction to philosophy of science written by a philosopher and a scientist. - (...) Includes some of the many important contributions from women philosophers and scientists. - Demonstrates the philosophical influences on scientific thinking, practice, and expert disagreement. - Applies philosophy of science to analyse some specific real-life cases of scientific controversy. -/- This book is an essential resource for students and teachers in philosophy of science. It is also ideal for anyone interested in the philosophical influences on contemporary science. (shrink)

Sustainability science seeks to extend scientific investigation into domains characterized by a distinct problem-solving agenda, physical and social complexity, and complex moral and ethical landscapes. In this endeavor it arguably pushes scientific investigation beyond its usual comfort zones, raising fundamental issues about how best to structure such investigation. Philosophers of science have long scrutinized the structure of science and scientific practices, and the conditions under which they operate effectively. We propose a critical engagement between sustainability scientists and (...) philosophers of science with respect to how to engage in scientific activity in these complex domains. We identify specific issues philosophers of science raise concerning current sustainability science and the contributions philosophers can make to resolving them. In conclusion we reflect on the steps philosophers of science could take to advance sustainability science. (shrink)