One of the most common criticisms one hears of the idea of granting a legitimate role for social values in theory choice in science is that it just doesn’t make sense to regard social preferences as relevant to the truth or to the way things are. “What is at issue,” wrote Susan Haack, is “whether it is possible to derive an ‘is’ from an ‘ought.’ ” One can see that this is not possible, she concludes, “as (...) soon as one expresses it plainly: that propositions about what states of affairs are desirable or deplorable could be evidence that things are, or are not, so” (Haack 1993a, 35, emphasis in original). The purpose of this chapter is not to determine whether this widespread view is correct, but rather to show that even if we grant it (which I do), we may still consistently believe that social values have a legitimate role in theory choice in science. I will defend this conclusion by outlining a view about social values and theory choice that is available to a Constructive Empiricist anti-realist, but not to a realist. (shrink)

Understanding science requires appreciating the values it presupposes and its social context. Both the values that scientists hold and their social context can affect scientific communication. Philosophers of science have recently begun studying scientific communication, especially as it relates to public policy. Some have proposed “guiding principles for communicating scientific findings” to promote trust and objectivity. This paper contributes to this line of research in a novel way using behavioural experimentation. We report results from (...) three experiments testing judgments about the trustworthiness, competence and objectivity of scientists. More specifically, we tested whether such judgments are affected by three factors: consulting or not consulting nonscientists, conducting research under a restrictive or non-restrictive governmental communication policy, and the source of a lab’s funding (i.e., government funding, private funding, or a combination of the two). We found that each of these factors affects ordinary judgments of trustworthiness, competence and objectivity. These findings support several recommendations that could help improve scientific communication and communication policies. (shrink)

Husserl holds that the theoretical sciences should be value-free, i.e., free from the values of extra-scientific practices and guided only by epistemic values such as coherence and truth. This view does not imply that to Husserl the sciences would be immune to all criticism of interests, goals, and values. On the contrary, the paper argues that Husserlian phenomenology necessarily embodies reflection on the epistemic values guiding the sciences. The argument clarifies Husserl’s position by comparing it with (...) the pluralistic position developed in feminist epistemology, according to which sciences may be guided by several competing sets of epistemic values. Further, the existence of alternative epistemic values suggests that choices among such values are social and historically conditioned. Indeed, this is how Husserl’s mature discussion in The Crisis can be understood: his examination of Galileo’s contribution in physics operates as a criticism of the unquestioned dominance of certain set of inherited epistemic values, including the values of accuracy and universal applicability. Indeed, his The Origin of Geometry endorses another set of epistemic values, most importantly that of ontological heterogeneity. Husserl’s analysis demonstrates that the choice of any set of epistemic values is influenced by historical and social factors. Moreover, Husserl argues that we can only avoid biases due to “spells of the time” by continued reflection – Besinnung, in his terms – on the role of values in science. (shrink)

With twentieth- and twenty-first-century philosophy of science’s unfolding acceptance of the nature of scientific inquiry being value-laden, the persistent worry has been that there are no means for legitimate negotiation of the social or non-epistemic values that enter into science. The rejection of the value-free ideal in science has thereby been coupled with the spectres of indiscriminate relativism and bias in scientific inquiry. I challenge this view in the context of recently expressed concerns regarding Canada's (...) death of evidence controversy. The worry, raised by Stathis Psillos, is that as constructivist accounts of science demoted the previously secure status of evidence for drawing justified conclusions in science, we were left with no rational delineation between the right and wrong values for science. The implication for the death of evidence controversy is that we may have no rational grounds for claiming that the Canadian Government is wrong to interfere with scientific enterprise. But he does offer another avenue for reaching the conclusion that the wrong social values are directing the current stifling of some sectors of Canadian science. Psillos draws from standpoint epistemologies to devise a salient defence of ‘valuing evidence’ as a universalizable social value. That is, government bodies ought to enable scientific research via adequate funding as well as political non-interference. In this paper, I counter that non-epistemic values can be rationally evaluated and that standpoint epistemology’s universalizable standpoint provides an inadequate framework for negotiating social values in science. Regarding, I draw from the evidence-based medicine debate in philosophy of medicine and from feminist empiricist investigations into the science–values relationship in order to make the argument for empirically driven value arbitration. If social values can be rationally chosen in the context of justification, then we can have grounds for charging the Canadian leadership with being ‘at war with science’. I further argue that my recommended empiricist methodology is preferable to Psillos’s search for universalizable perspectives for negotiating social values in science because the latter method permits little more than the trivial conclusion that evidence is valuable to science. (shrink)

Social and medical scientists frequently produce empirical generalizations that involve concepts partly defined by value judgments. These generalizations, which have been called ‘mixed claims’, raise interesting questions. Does the presence of them in science imply that science is value-laden? Is the value-ladenness of mixed claims special compared to other kinds of value-ladenness of science? Do we lose epistemically if we reformulate these claims as conditional statements? And if we want to allow mixed claims in science, (...) do we need a new account of how to reconcile values with objectivity? Alexandrova (2017, 2018) offers affirmative answers to these questions. In responding to Alexandrova’s arguments, this discussion note motivates negative ones and in doing so casts new light on mixed claims. (shrink)

Philosophy of science is showing an increasing interest in the social aspects and the social organisation of science—the ways social values and social interactions and structures play a role in the creation of knowledge and the ways this role should be taken into account in the organisation of science and science policy. My thesis explores a number of issues related to this theme. I argue that a prominent approach to the (...) class='Hi'>social organisation of science—Philip Kitcher’s well-ordered science—runs into a number of problems. They undermine its philosophical plausibility and practical usefulness. I agree with Kitcher that arguments about the social organisation of science should recognise profound societal consequences of science. Kitcher argues that the appropriate organisation of science should therefore take into account laypersons’ values and needs when making decisions concerning research planning, evaluation and application. My criticisms show that this is not enough. Drawing on Helen Longino ideas, I argue that laypersons’ perspectives and knowledge may also be relevant when doing research. In order to show how more inclusive research practices may be possible, I discuss connections between philosophy of science and some developments in science policy, which has also recently shown considerable interest in democratic participation. I demonstrate how public participation experiments in science policy may sometimes be close enough to what the philosopher would recommend. Their analysis can thus be helpful for understanding how societal developments may provide opportunities for the involvement of laypersons in science and what factors may endanger its success. I conclude that a way to pursue a more socially relevant philosophy of science is to focus on the points of contact and possibilities of cooperation between philosophical proposals and these public participation initiatives. (shrink)

Neurath’s scientific utopianism is the proposal that the social sciences should engage in the elaboration, development, and comparison of counterfactual scenarios, the ‘utopias’. Such scenarios can be understood as centerpieces of scientific thought experiments, that is, in exercises of imagination that not only promote conceptual revision, but also stimulate creativity to deal with experienced problems, as utopias are efforts to imagine what the future could look like. Moreover, utopian thought experiments can offer scientific knowledge to inform political debates and (...) decisions, contributing to the shaping of society. This essay reconstructs a historical event as an example of Neurath’s utopianist methodology. In the late 1970s and early 1980s, a scientific and political commission appointed by the Western German Parliament devised and compared four scenarios for future energetic-economic policies. Conclusions of the commission informed political decisions that put Western (later reunified) Germany in a route towards becoming a green industrial power. A fundamental part of the commission’s work involved an appeal to imagination, allowing for the characterization under Neurath’s methodology. (shrink)

Abstract -/- “The Obvious Invisibility of the Relationship Between Technology and Social Values” -/- We all too often assume that technology is the product of objective scientific research. And, we assume that technology’s moral value lies in only the moral character of its user. Yet, in order to objectify technology in a manner that removes it from a moral realm, we rely on the assumption that technology is value neutral, i.e., it is independent of all contexts other than (...) the context in which it is used morally or immorally by someone. However, there is a power to technology. At the very least, technology should be seen as reflecting the values that it rises from: a developmental context. Consequently, we can make the invisible moral realm visible as we investigate the relationship between culture and technology. Pragmatically, we can trace how cultural values inform what counts as a scientific question. When we look at the 1980s epidemiological model for AIDS we see how the presuppositions within a culture frame the type of question asked, i.e. What population do we see AIDS occurring in? This question initially leads scientific research away from actual individual behaviors until a different question is asked that leads the question towards behavioral epidemiological models rather than population models. Secondly, we can make visible the circumstance that depicts that what constitutes a scientific problem has a direct relationship to the types of technologies that are developed. We can more clearly see this circular relationship between culture and technology by looking at clinical research and practice regarding heart disease. Men who were dying of diagnosed heart disease were showing symptoms of problems in large arteries of the heart. Women were also dying of heart disease, but since their large arteries were not overwhelmingly compromised they were not being properly diagnosed until recently. Different technologies and protocol were needed to “see” different symptoms in the smaller vessels of women. Thirdly, I show how the types of technology developed, in turn, can create new values or enhance preexisting values within a culture. DNA research can be used to investigate long, unanswered questions about qualitative dimensions of life in quantitative manners. Yet, long held unanswered questions about a biological basis of race or intelligence are themselves rarely challenged as uninteresting or misguided even when they are tied to prejudicial qualitative assumptions if the chance of a “scientific” answer is possible. When existing technologies or modifications of existing technologies can be used they seem to direct human reactions and behaviors in predictable ways. The technologies themselves may be said to direct culture in ethically valenced manners. (shrink)

Moral, social, political, and other “nonepistemic” values can lead to bias in science, from prioritizing certain topics over others to the rationalization of questionable research practices. Such values might seem particularly common or powerful in the social sciences, given their subject matter. However, I argue first that the well-documented phenomenon of motivated reasoning provides a useful framework for understanding when values guide scientific inquiry (in pernicious or productive ways). Second, this analysis reveals a parity (...) thesis: values influence the social and natural sciences about equally, particularly because both are so prominently affected by desires for social credit and status, including recognition and career advancement. Ultimately, bias in natural and social science is both natural and social— that is, a part of human nature and considerably motivated by a concern for social status (and its maintenance). Whether the pervasive influence of values is inimical to the sciences is a separate question. (shrink)

The objective of the study was to develop a structural model that explores the relationship between Mathematics Performance and students’ self-regulated learning skills, grit, and expectancy-value towards science, technology, engineering and mathematics (STEM). The research collected survey data from 664 senior high school students from 17 STEM high schools, and conducted a covariance-based structural equation modeling (SEM) analysis. The results of the SEM analysis indicate that the Re-specified Self-Regulated Learning Skill – Expectancy-Value towards STEM – Grit – Mathematics Performance (...) (Re-specified SRL-EV-GR-MP) model is the most parsimonious fit, offering the best empirical support for the theoretical model of the study. The research findings suggest that the mathematics performance of senior high school students in STEM curriculum is attributed to their high expectancies for success and perceived values of the STEM tasks, high grit, and high self-regulated learning skills. Moreover, the research also observed evidence of mediating and moderating grit effects in the concurrent effects of expectancy-values towards STEM and self-regulated learning skills towards students’ mathematics performance. (shrink)

While the Value-Free Ideal of science has suffered compelling criticism, some advocates like Gregor Betz continue to argue that science policy advisors should avoid value judgments by hedging their hypotheses. This approach depends on a mistaken understanding of the relations between facts and values in regulatory science. My case study involves the morning-after pill Plan B and the “Drug Fact” that it “may” prevent implantation. I analyze the operative values, which I call zygote-centrism, responsible for (...) this hedged drug label. Then, I explain my twofold account of value-ladenness, involving the constitutive role of value judgments in science and the social function of facts as political tools. Because this drug fact is ineliminably value-laden in both senses, I conclude that hedged hypotheses are not necessarily value-free. (shrink)

Value systems are prospective and prescriptive beliefs; they affect the ethical behavior of a person or are the basis of their intentional activities.

Some prominent scientists and philosophers have stated openly that moral and political considerations should influence whether we accept or promulgate scientific theories. This widespread view has significantly influenced the development, and public perception, of intelligence research. Theories related to group differences in intelligence are often rejected a priori on explicitly moral grounds. Thus the idea, frequently expressed by commentators on science, that science is “self-correcting”—that hypotheses are simply abandoned when they are undermined by empirical evidence—may not be correct (...) in all contexts. In this paper, documentation spanning from the early 1970s to the present is collected, which reveals the influence of scientists’ moral and political commitments on the study of intelligence. It is suggested that misrepresenting findings in science to achieve desirable social goals will ultimately harm both science and society. (shrink)

The persistence of “stargazing,” p-hacking and HARKing4 are among the main causes for the severity of the irreproducibility problem in social sciences.

There is a wealth of resources— ideas, insights, discoveries, inventions, traditions, cultures, languages, arts, religions, sciences, narratives, stories, poems, customs and norms, music and songs, games and personal experiences, and advertisements—that we produce, curate, consume, transmit, and inherit as humans. This wealth, which I define as semantic capital, gives meaning to, and makes sense of, our own existence and the world surrounding us. It defines who we are and enables humans to develop an individual and social life. This paper (...) discusses the shift from analog to digital semantic capital, and the extent to which this might affect the semanticisation of our identities, our lives and our realities. -/- . (shrink)

This paper gives further feedback in response to the evening of presentations about the value of different disciplines to the social sciences, at the University of Manchester. I respond to Peter Lawler’s presentation for the politics department, or discipline area. The appendix responds to a remark which I found online about Laura Valentini, related to the main content.

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)

Innovation is progressively needed in responding to global challenges. Moreover, the increasing complexity of challenges implies demand for the usage of multisectoral and policy mix approaches. Wicked problems can be tackled by "integrated innovation" that combines the coordinated implementation of social, technological, and health innovation co-created by entities of the public sector, the private sector, the non-governmental sector, and the informal sector. This Research Topic focuses on filling the knowledge gaps about the selected types of innovation. First, regarding (...) class='Hi'>social innovation that can be understood as new strategies, concepts, products, services, and organizational forms that allow the satisfaction of human needs. Second, a technological innovation that refers to new or remarkably improved products, goods, or services in terms of their technical specifications, components, materials, software, design, or other functional features. Third, health innovation that focuses on novel or enhanced health policies, systems, products, technologies, services, and care delivery schemes to improve people’s health. Finally, this Research Topic highlights attempts to develop integrated innovation that can add value to social policy, health policy, and environmental policy by improving efficiency, effectiveness, quality, sustainability, safety, and affordability. (shrink)

The new phase of science evolution is characterized by totality of subject and object of cognition and technology (high-hume). As a result, forming of network structure in a disciplinary matrix modern are «human dimensional» natural sciences and two paradigmal «nuclei» (attraktors). As a result, the complication of structure of disciplinary matrix and forming a few paradigm nuclei in modern «human dimensional» natural sciences are observed. In the process of social verification integration of scientific theories into the existent system (...) of mental and valued options of spiritual culture takes place. The attribute of classical science – ethics neutrality of scientific knowledge becomes an unattainable ideal. One of the trends in the evolution of theoretical epistemology is the study of migration mechanisms of generation of scientific knowledge from the sphere of its own logic and methodology of science in the field of sociology - the consideration of this process, as the resulting system of interactions of social structures and institutions. Ensuing ideas and settings become the dominant worldview of philosophical and technological civilization. -/- . (shrink)

The new phase of science evolution is characterized by totality of subject and object of cognition and technology (high-hume). As a result, forming of network structure in a disciplinary matrix modern are «human dimensional» natural sciences and two paradigmal «nuclei» (attraktors). As a result, the complication of structure of disciplinary matrix and forming a few paradigm nuclei in modern «human dimensional» natural sciences are observed. In the process of social verification integration of scientific theories into the existent system (...) of mental and valued options of spiritual culture takes place. The attribute of classical science – ethics neutrality of scientific knowledge becomes an unattainable ideal. One of the trends in the evolution of theoretical epistemology is the study of migration mechanisms of generation of scientific knowledge from the sphere of its own logic and methodology of science in the field of sociology - the consideration of this process, as the resulting system of interactions of social structures and institutions. Ensuing ideas and settings become the dominant worldview of philosophical and technological civilization. -/- . (shrink)

This chapter argues for a structural injustice approach to the governance of AI. Structural injustice has an analytical and an evaluative component. The analytical component consists of structural explanations that are well-known in the social sciences. The evaluative component is a theory of justice. Structural injustice is a powerful conceptual tool that allows researchers and practitioners to identify, articulate, and perhaps even anticipate, AI biases. The chapter begins with an example of racial bias in AI that arises from structural (...) injustice. The chapter then presents the concept of structural injustice as introduced by the philosopher Iris Marion Young. The chapter moreover argues that structural injustice is well suited as an approach to the governance of AI and compares this approach to alternative approaches that start from analyses of harms and benefits or from value statements. The chapter suggests that structural injustice provides methodological and normative foundations for the values and concerns of Diversity, Equity, and Inclusion. The chapter closes with an outlook onto the idea of “structure” and on responsibility. The idea of a structure is central to justice. An open theoretical research question is to what extent AI is itself part of the structure of society. Finally, the practice of responsibility is central to structural injustice. Even if they cannot be held responsible for the existence of structural injustice, every individual and every organization has some responsibility to address structural injustice going forward. (shrink)

Philosophy &Public Affairs, Volume 52, Issue 1, Page 5-41, Winter 2024.

Philosophers of science often make reference — whether tacitly or explicitly — to the notion of a scientific community. Sometimes, such references are useful to make our object of analysis tractable in the philosophy of science. For others, tracking or understanding particular features of the development of science proves to be tied to notions of a scientific community either as a target of theoretical or social intervention. We argue that the structure of contemporary scientific research poses (...) two unappreciated, or at least underappreciated, challenges to this concept of the “scientific community” in the philosophy of science. In particular, we will present two case studies from robotics research, broadly construed, which show that (1) the boundedness of the scientific community is threatened when private citizens can develop scientific and technological advances at minimal expense (democratization), and (2) the discreteness of scientific research programs is threatened by the complexly interrelated environment of contemporary scientific work (interconnectivity). Taken together, the extent of democratization and interconnectivity present a significant challenge for any practically oriented philosophy of science, one which we hope will be taken on directly by philosophers in the future. (shrink)

This paper reviews current debates in social epistemology about the relations ‎between ‎knowledge ‎and consensus. These relations are philosophically interesting on their ‎own, but ‎also have ‎practical consequences, as consensus takes an increasingly significant ‎role in ‎informing public ‎decision making. The paper addresses the following questions. ‎When is a ‎consensus attributable to an epistemic community? Under what conditions may ‎we ‎legitimately infer that a consensual view is knowledge-based or otherwise ‎epistemically ‎justified? Should consensus be the aim of scientific inquiry, (...) and if so, what ‎kind of ‎consensus? How should dissent be handled? It is argued that a legitimate inference ‎that a ‎theory is correct from the fact that there is a scientific consensus on it requires taking ‎into ‎consideration both cognitive properties of the theory as well as social properties of ‎the ‎consensus. The last section of the paper reviews computational models of ‎consensus ‎formation.‎. (shrink)

In the past few years, social epistemologists have developed several formal models of the social organisation of science. While their robustness and representational adequacy has been analysed at length, the function of these models has begun to be discussed in more general terms only recently. In this article, I will interpret many of the current formal models of the scientific community as representing the latest development of what I will call the ‘Kuhnian project’. These models share with (...) Kuhn a number of questions about the relation between individuals and communities. At the same time, they also inherit some of Kuhn’s problematic characterisations of the scientific community. In particular, current models of the social organisation of science represent the scientific community as essentially value-free. This may put into question both their representational adequacy and their normative ambitions. In the end, it will be shown that the discussion on the formal models of the scientific community may contribute in fruitful ways to the ongoing debates on value judgements in science. (shrink)

There is increasing attention to the centrality of idealization in science. One common view is that models and other idealized representations are important to science, but that they fall short in one or more ways. On this view, there must be an intermediary step between idealized representation and the traditional aims of science, including truth, explanation, and prediction. Here I develop an alternative interpretation of the relationship between idealized representation and the aims of science. In my (...) view, continuing, widespread idealization calls into question the idea that science aims for truth. I argue that understanding must replace truth as the ultimate epistemic aim of science. Additionally, science has a wide variety aims, epistemic and non-epistemic, and these aims motivate different kinds of scientific products. Finally, I show how these diverse aims---all rather distant from truth---result in the expanded influence of social values on science. (shrink)

The Harvard physiologists Alexander Forbes (1882-1965) and Walter Bradford Cannon (1871-1945) had an enormous impact on the physiology and neuroscience of the twentieth century. In addition to their voluminous scientific output, they also used literature to reflect on the nature of science itself and its social significance. Forbes wrote a novel, The Radio Gunner, a literary memoir, Quest for a Northern Air Route, and several short stories. Cannon, in addition to several books of popular science, wrote a (...) literary memoir in the last year of his life, The Way of an Investigator. The following will provide a brief overview of the life and work of Forbes and Cannon. It will then discuss the way that Forbes used literature to express his views about the changing role of communications technology in the military, and his evolving view of the nervous system itself as a kind of information-processing device. It will go on to discuss the way that Cannon used literature to articulate the horrors he witnessed on the battlefield, as well as to contribute to the philosophy of science, and in particular, to the logic of scientific discovery. Finally, it will consider the historical and philosophical value of deeper investigation of the literary productions of scientists. (shrink)

Publics trust experts for personal and pro-social reasons. Scientists are among the experts publics trust most, and so, epistemic trust is routinely afforded to them. The call for epistemic trust to be more socially situated in order to account for the impact of science on society and public welfare is at the forefront of enhanced epistemic trust. I argue that the value-free ideal for science challenges establishing enhanced epistemic trust by preventing the inclusion of non-epistemic values (...) throughout the evaluation of evidence and communication of these values. By selectively silencing non-epistemic values, the ideal cannot take into account publics’ social and moral responses to inductive risk, which are instrumental for defining and determining public welfare. Furthermore, by emphasising epistemic values almost exclusively in science education and communication, the value-free ideal is presented to publics in such a way that it becomes a social indicator of trust. I show this through examination of the importance of values in decisions to trust, and conclude that values (and restrictions on them) can be used by lay publics to help decide which experts to trust. (shrink)

Over the years, mathematics and statistics have become increasingly important in the social sciences1 . A look at history quickly confirms this claim. At the beginning of the 20th century most theories in the social sciences were formulated in qualitative terms while quantitative methods did not play a substantial role in their formulation and establishment. Moreover, many practitioners considered mathematical methods to be inappropriate and simply unsuited to foster our understanding of the social domain. Notably, the famous (...) Methodenstreit also concerned the role of mathematics in the social sciences. Here, mathematics was considered to be the method of the natural sciences from which the social sciences had to be separated during the period of maturation of these disciplines. All this changed by the end of the century. By then, mathematical, and especially statistical, methods were standardly used, and their value in the social sciences became relatively uncontested. The use of mathematical and statistical methods is now ubiquitous: Almost all social sciences rely on statistical methods to analyze data and form hypotheses, and almost all of them use (to a greater or lesser extent) a range of mathematical methods to help us understand the social world. Additional indication for the increasing importance of mathematical and statistical methods in the social sciences is the formation of new subdisciplines, and the establishment of specialized journals and societies. Indeed, subdisciplines such as Mathematical Psychology and Mathematical Sociology emerged, and corresponding journals such as The Journal of Mathematical Psychology (since 1964), The Journal of Mathematical Sociology (since 1976), Mathematical Social Sciences (since 1980) as well as the online journals Journal of Artificial Societies and Social Simulation (since 1998) and Mathematical Anthropology and Cultural Theory (since 2000) were established. What is more, societies such as the Society for Mathematical Psychology (since 1976) and the Mathematical Sociology Section of the American Sociological Association (since 1996) were founded. Similar developments can be observed in other countries. The mathematization of economics set in somewhat earlier (Vazquez 1995; Weintraub 2002). However, the use of mathematical methods in economics started booming only in the second half of the last century (Debreu 1991). Contemporary economics is dominated by the mathematical approach, although a certain style of doing economics became more and more under attack in the last decade or so. Recent developments in behavioral economics and experimental economics can also be understood as a reaction against the dominance (and limitations) of an overly mathematical approach to economics. There are similar debates in other social sciences. It is, however, important to stress that problems of one method (such as axiomatization or the use of set theory) can hardly be taken as a sign of bankruptcy of mathematical methods in the social sciences tout court. This chapter surveys mathematical and statistical methods used in the social sciences and discusses some of the philosophical questions they raise. It is divided into two parts. Sections 1 and 2 are devoted to mathematical methods, and Sections 3 to 7 to statistical methods. As several other chapters in this handbook provide detailed accounts of various mathematical methods, our remarks about the latter will be rather short and general. Statistical methods, on the other hand, will be discussed in-depth. (shrink)

There is a plurality of theoretical approaches, methodological tools, and explanatory strategies in the social sciences. Different fields rely on different methods and explanatory tools even when they study the very same phenomena. We illustrate this plurality of the social sciences with the studies of crowds. We show how three different takes on crowd phenomena—psychology, rational choice theory, and network theory—can complement one another. We conclude that social scientists are better described as researchers endowed with explanatory toolkits (...) than specialists of some specific social domain. Social scientists’ toolkits are adapted for identifying and specifying the role of specific causal factors among the multiple factors that produce social phenomena. These factors can be, in a nonexclusive way, economic incentives, psychological processes, the ecology, or aspects of the social and cultural environment. The plurality of methods and theories in the social sciences flies in the face of the project to unify the sciences associated with the positivists of the nineteenth and twentieth centuries. Yet, the compatibility and consilience of theories and practices still have epistemic value: they enable the development of more powerful and robust theories and they allow the advent of interdisciplinary studies. We present the integrative stance as the will to improve compatibility and consilience across fields, yet recognize that the plurality of causes of social phenomena invite a diversity of methodological and theoretical tools. We conclude by characterizing naturalism as an integrative stance applied to fields that belong to the social science and to the natural sciences. (shrink)

In her impressive book, looking at the philosophy and science of well-being, Anna Alexandrova argues for the strong claim that we possess no stable, unified concept of well-being. Instead, she thinks the word “well-being” only comes to have a specific meaning in particular contexts, and has a quite different meaning in different contexts. I take issue with (1) her claim that we do not possess a unified, all-things-considered concept of well-being as well as with (2) her failure to consider (...) why we might want a unified concept. I grant that Alexandrova is probably correct that the word “well-being” is used differently in different contexts. But this only shows that one word can come to be used to express different concepts. Moreover, noting that several concepts exist that are picked out by “well-being” doesn’t establish that we lack altogether a notion of all-things-considered well-being. I believe we have such a concept, even though it is not always the concept in play. Moreover, I think we need such a concept. The conceptual muddles Alexandrova highlights—muddles that result from a single word being used to express multiple ideas—remind us how important it is to be able to distinguish different concepts from one another, as well as how important it is to periodically remind ourselves of how various forms of specialist dialogue relate back to the broader, more general notion of “well-being.”. (shrink)

This article investigates how Max Weber’s theory of value conflict is connected to his realist understanding of politics and how he conceives the relation of politics and ethics. This investigation also covers Weber’s views on the argumentative limits of the social sciences and ethics. The center of Weber’s philosophy of science is constituted by his methodological thoughts on “ethical neutrality” (Wertfreiheit) of the social sciences. The first thesis of this paper contends that Weber’s theory of a clash (...) of irreconcilable values and ideals goes back to Nietzsche. According to the second thesis of the article, the general claim of Weber’s philosophy of science is that there is no possibility of an ultimate rational, philosophical, or scientific grounding of values and normative theories. Weber’s endorsement of an ethics of responsibility in the field of politics led to the criticism that he contradicts his postulate of the “ethical neutrality” (Wertfreiheit) of the scientist. The third thesis of the paper claims that Weber’s arguments for a political ethics of responsibility are compatible with his methodological postulate. (shrink)

This paper argues for the value of philosophers in a school of social sciences within a university, for fixing what I call disciplinary constitutions. A disciplinary constitution is a statement of “How our discipline works: how we achieve the ends of our discipline.” A lot of people depend on a constitution, but such a thing usually runs into problems and philosophers can identify these problems and propose solutions. I suggest that it is essential for the autonomy of an ambitious (...) school to be able to do such work internally. (shrink)

Abstract The values of the healthcare sector are fairly ubiquitous across the globe, focusing on caring and respect, patient health, excellence in care delivery, and multi-stakeholder collaboration. Many individual pharmacists embrace these core values. But their ability to honor these values is significantly determined by the nature of the system they work in. -/- The paper starts with a model of the prevailing pharmacist workforce model in Scotland, in which core roles are predominantly separated into hierarchically disaggregated (...) jobs focused on one professional ‘pillar’: Clinician /Practice Provider; Educator; Leader/Manager; and Researcher. This is the ‘Atomistic’ Model. This skills-segregation yields a workforce of individuals working in isolation rather than collaborating together, and lacking a shared information flow, purpose and identity. Key strategic flaws include suboptimal responsiveness to population and subpopulation needs, inconsistency and inequity of care, an erosion of professional agency, and lower job satisfaction. It is conjectured that this results from a lack of congruence between values, professional ethos, and organizational structure. ‘Atomism’ culminates in a syndrome of widespread professional-level cognitive dissonance. -/- The paper contrasts this with a new emerging workforce vision, The Collaborative Care Model. This new model defines a systems-first-approach, built on the principle that all jobs must include all four professional ‘pillars’. Vertical skills integration, involving education and task sharing, will support sustainability and succession planning. Horizontal skills integration (across practice, leadership and research) is included to improve responsiveness to population need and individual professional agency. The working conditions, supportive ethos, and career structure needed to make the model work are described. Moral theory and workforce theory are used to justify why the model may be more effective for population health, delivering greater job satisfaction for individuals and ultimately helping systematically realize and honor healthcare values. Finally, the paper sketches the first steps needed to implement the model at the national level, starting with the operationalization of new multi-pillar professional curricula across the career spectrum. Potential pitfalls and challenges are also discussed. -/- Co-Authors: 1. Paul Forsyth (PF) Lead Pharmacist Clinical Cardiology, Pharmacy, NHS Greater Glasgow & Clyde. Contribution: Conceptualization; Model Curation; Model Theory; Model Visualization; Writing - original draft (lead author), Writing - review & editing (lead author) 2. Andrew Radley (AR), Consultant in Public Health Pharmacy, NHS Tayside. Contribution: Conceptualization; Model curation; Model Theory; Writing - review & editing 3. Gordon Rushworth (GR), MPharm MSc FFRPS FRPharmS (Consultant). Programme Director, Highland Pharmacy Education & Research Centre, NHS Highland, Inverness. Contribution: Model curation; Writing - review & editing 4. Fiona Marra (FM) National Lead Clinician Scottish Infection and Immunology Network (SPAIIN) / Advanced Pharmacist HCV / HIV, NHS Greater Glasgow & Clyde. Contribution: Model curation; Writing - review & editing 5. Susan Roberts (SR) Associate Postgraduate Pharmacy Dean, NHS Education for Scotland. Contribution: Model curation; Writing - review & editing 6. Roisin O’Hare (RO) Lead Teacher Practitioner Pharmacist, Northern Ireland University Network, Southern Health and Social Care Trust. Contribution: Model curation; Writing - review & editing 7. Catherine Duggan (CD) Chief Executive Officer, International Pharmaceutical Federation (FIP). Contribution: Model curation; Writing - review & editing 8. Barry Maguire (BM) Senior Lecturer, School of Philosophy, Psychology and Life Sciences, The University of Edinburgh. Contribution: Conceptualization; Model Curation; Model Theory; Model Visualization; Supervision; Writing - original draft (senior academic supervisor), Writing - review & editing (senior academic supervisor) -/- . (shrink)

The growth of knowledge has always included opposing worldviews and clashes of distinct interests. This includes different rationalities which either have served or disserved the State. A Copernican world defied the Catholic Church. Cartesian philosophy and Newtonian physics incited a major split between an allegedly knowing subject and external realities. As an outcome, many dualisms emerged: subjectivity/objectivity, particular/universal, etc. Hegelian dialectics elaborated such approach to its most extreme. The pretension of social science to be value-free assumed a neutral (...) observer collating external facts. Yet both Hume and Adam Smith challenged Descartes cogito as banal, stressing that it is not because we think that we are but rather than how we think is who we have become through the values, dispositions and beliefs that we have consciously or less than consciously acquired from life experience, and that no perception is neutral. Hume anticipated Bourclieu both on habItus and also on reflexivity in his concept of the reflexive mind" yet this then was lost by the presumption, such as by Bertrand Russell, that Hume was a "mere empiricist". Logical positivism then claimed that an appeal to 'facts' could dismiss metaphysics, invoking the logical atomism of Russell and the early Wittgenstein. But which Wittgenstein transcended not in the sense of transcendental metaphysics, though he was deeply influenced by Schopenhauer, but - after a road to Damascus encounter with Sraffa - coming to realise that meanings depend on context and that their context needs to be understood. Which we suggest in this paper is that these issues are highly relevant to the troubled relationship between rationality - or rationalities - and the State. (shrink)

Even if the “value-free ideal of science” (VFI) were an unattainable goal, one could ask: can it be a useful fiction, one that is beneficial for the research community and society? This question is particularly crucial for scholars and institutions concerned with research integrity (RI), as one cannot offer normative guidance to researchers without making some assumptions about what ideal scientific research looks like. Despite the insofar little interaction between scholars studying RI and those working on values in (...) science, the overlap of topics and interests make collaboration between the two fields promising for understanding research and its ethics. Here, we identify—for the use of RI scholars—the non-epistemic reasons (societal, political, professional) for and against the VFI considered in the literature. All of these are concerned with the beneficial or detrimental consequences that endorsing the VFI would have on society, policy-making, or the scientific community, with some authors appealing to the same principles to argue for opposite positions. Though most of the reviewed articles do not endorse the VFI, it is generally agreed that some constraints have to be put on the use of non-epistemic values. Disagreement on the utility of the VFI lies both on the different epistemic-descriptive positions taken by different authors, and on the scarcity of relevant empirical studies. Engaging critically with the reasons here identified and more in general with the values in science debate will help the RI community decide whether the VFI should be included in future codes of conduct. (shrink)

Philosophers of science, particularly those working on science and values, often talk about the need for science to be socially responsible. However, what this means is not clear. In this paper, we review the contributions of philosophers of science to the debate over socially responsible science and explore the dimensions that a fruitful account of socially responsible science should address. Our review shows that offering a comprehensive account is difficult. We contend that broad (...) calls for socially responsible science that fail to attend to relevant dimensions are not the solution, as they preclude meaningful changes to research institutions and practices. We conclude that narrower, more explicit accounts are more likely to lead to substantive transformation. (shrink)

Aims: This paper assessed the motivation and perception of Grade 12 public school students in learning social science during the pandemic. It also investigated the difference in their motivation and perception. -/- Study Design: Descriptive-comparative design. -/- Place and Duration of Study: School Division of a Component City in Northern Negros Occidental, between January 2021 to July 2022. -/- Methodology: The study utilized the descriptive-comparative design. The study was assessed by 436 stratified randomly sampled students. The assessments were (...) gathered using the modified motivation and perception questionnaires. In analyzing the data, mean, standard deviation, Mann Whitney, and Kruskal Wallis were employed. -/- Results: Generally, the motivation (M=3.83, SD= 0.67) shows an agreeable result. The extrinsic goal orientation (M=4.15, SD= 0.88) is rated highest with an agreeable result, and social engagement (M=3.46, SD= 0.92) is the lowest with a neutral result. Meanwhile, they have agreeable perceptions (M=3.69, SD= 0.65) with perceived value (M=3.79, SD= 0.79) as highest and perceived teachers' attitude (M=3.46, SD= 0.89) as lowest. Moreover, there was no difference in their motivation when group according to sex [U=21954.5, p=0.721] and track [U=22104.0, p=0.875]. While a significant difference in academic performance [χ2(4)=53.069, p=0.000]. In terms of perception, it found no difference when grouped according to sex [U=22309.0, p=0.771] and track [U=22163.0, p=0.912]. While a significant difference in academic performance [χ2(4)=32.042, p=0.000]. -/- Conclusion: The study implies the need to address students' motivation and perception issues to ensure their quality learning of social science. (shrink)

It is very well known that from the late-1960s onwards Feyerabend began to radically challenge some deeply-held ideas about the history and methodology of the sciences. It is equally well known that, from around the same period, he also began to radically challenge wider claims about the value and place of the sciences within modern societies, for instance by calling for the separation of science and the state and by questioning the idea that the sciences served to liberate and (...) ameliorate human societies. But what is less known is how, if at all, these two sets of challenges were connected, and why Feyerabend felt it important to raise them at all. In this chapter, my aim is to explore these issues by considering why Feyerabend used radical strategies to challenge the authority of science, and what purpose, if any, they were supposed to serve. Why, for instance, did Feyerabend defend alternative medicine, psychical abilities, astrology, magic and witchcraft and why did he argue that ‘Western science’ is complicit in environmental destruction, intellectual imperialism, social oppression, and spiritual destitution. Located in their historical and political context, such defences and arguments seem peculiar, not least because science was recognised not only as a central site of the intellectual and ideological competition between the West and the Soviet Union, but also because Western victory in that site was considered inevitable. What, then, did Feyerabend think he was trying to achieve by raising radical challenges to a central component of the cultural and intellectual prestige of the Western world grounded in appeals to practices and traditions which most would regard as eccentric at best and absurd at worst? My suggestion is that Feyerabend was making a subtler point than one might suppose. For the purpose of these radical challenges was to determine if the members of Western societies would in fact honour the epistemic standards – of tolerance, critical enquiry – which were identified as being characteristic of science and definitive of the social and political values of Western liberal democracy. I suggest that Feyerabend was trying to demonstrate that scientists were, too often, guilty of the same intolerant and dogmatic attitudes which were, according to prevailing propaganda, the property of illiberal totalitarian societies. Science does not reflect the superior epistemic and political values of Western societies but are, in fact, reflective of the same vices ascribed to the Soviet Union. If that is the case, then the sciences are not symbols of our epistemic and political values, but quite the reverse, hence Feyerabend’s talk of the ‘dogmatic’, ‘totalitarian’, ‘ratiofascist’ nature of modern science. But there is a positive upshot to Feyerabend’s challenge. For even if the sciences do not yet reflect the epistemic and political values of liberal democratic Western societies, they might yet be reformed so that they are. And there is a parallel between Feyerabend’s strategy and that of many of the other radicals of the time – student activists, environmentalists, and pacifists – namely to test the commitment to tolerance and deliberative debate of the establishment by asking it to seriously engage with ideas and convictions opposed to its own. For both science and society can become ‘tyrannical’ through the same means: by exempting themselves from critical scrutiny, by promoting self-serving ‘myths’ about themselves, and by derogating and excluding alternatives, including the ‘outsider’ perspectives they offer. The chapter concludes by suggesting that Feyerabend is distinctive in virtue of his willingness to offer radical criticisms of the authority of science such that it can fulfil its legitimate ideological role – namely, of symbolising and instantiating our core epistemic and political values – such that we can offer a sincere and meaningful answer to Feyerabend’s question ‘what’s so great about science?’. (shrink)

In recent years, philosophy of science has witnessed a significant increase in attention directed toward the field’s social relevance. This is demonstrated by the formation of societies with related agendas, the organization of research symposia, and an uptick in work on topics of immediate public interest. The collection of papers that follows results from one such event: a 3-day colloquium on the subject of socially engaged philosophy of science (SEPOS) held at the University of Cincinnati in October (...) 2012. In this introduction, we first survey the recent history of philosophy of science’s social involvement (or lack thereof) and contrast this with the much greater social involvement of the sciences themselves. Next, we argue that the field of philosophy of science bears a special responsibility to contribute to public welfare. We then introduce as a term of art “SEPOS” and articulate what we take to be distinctive about social engagement, with reference to the articles in this collection as exemplars. Finally, we survey the current state of social engagement in philosophy of science and suggest some practical steps for individuals and institutions to support this trajectory. (shrink)

When scientists or science reporters communicate research results to the public, this often involves ethical and epistemic risks. One such risk arises when scientific claims cause cognitive or behavioural changes in the audience that contribute to the self-fulfilment of these claims. I argue that the ethical and epistemic problems that such self-fulfilment effects may pose are much broader and more common than hitherto appreciated. Moreover, these problems are often due to a specific psychological phenomenon that has been neglected in (...) the research on science communication: many people tend to conform to ‘descriptive norms’, that is, norms capturing (perceptions of) what others commonly do, think, or feel. Because of this tendency, science communication may frequently produce significant social harm. I contend that scientists have a responsibility to assess the risk of this potential harm and consider adopting strategies to mitigate it. I introduce one such strategy and argue that its implementation is independently well motivated by the fact that it helps improve scientific accuracy. (shrink)

Humanities and social science majors are frequently misunderstood, in Singapore as in many other parts of the world. The value of their education is regularly questioned, and many employers are unaware of the value such majors can bring to the table. They prefer to hire graduates with more explicitly “practical” degrees for jobs that humanities and social sciences students could excel in. As a result, humanities and social sciences students are not typically considered for many organisations (...) and roles, despite offering relevant and useful skills. In this article, I describe how I engaged with local employers to open internship opportunities to humanities and social sciences students who would not previously have been considered. (shrink)

Vietnam, with a geographical proximity and a high volume of trade with China, was the first country to record an outbreak of the new Coronavirus disease (COVID-19), caused by the Severe Acute Respiratory Syndrome Coronavirus 2 or SARS-CoV-2. While the country was expected to have a high risk of transmission, as of April 4, 2020—in comparison to attempts to contain the disease around the world—responses from Vietnam are being seen as prompt and effective in protecting the interests of its citizens, (...) with 239 confirmed cases and no fatalities. This study analyzes the situation in terms of Vietnam’s policy response, social media and science journalism. A self-made web crawl engine was used to scan and collect official media news related to COVID-19 between the beginning of January and April 4, yielding a comprehensive dataset of 14,952 news items. The findings shed light on how Vietnam—despite being under-resourced—has demonstrated political readiness to combat the emerging pandemic since the earliest days. Timely communication on any developments of the outbreak from the government and the media, combined with up-to-date research on the new virus by the Vietnamese science community, have altogether provided reliable sources of information. By emphasizing the need for immediate and genuine cooperation between government, civil society and private individuals, the case study offers valuable lessons for other nations concerning not only the concurrent fight against the COVID-19 pandemic but also the overall responses to a public health crisis. (shrink)

Certain principle aspects of the fundamental science state in Ukraine as of 2014 were analyzed. It was shown that no awareness exists in the country that the main although not unique task of the science consists in the creation of new knowledge. The special attention was paid to state academies of science, in particular, to the National academy of science of Ukraine. It was demonstrated that the active law concerning science as well as the project (...) of the new law have substantial shortcomings from the judiciary viewpoint and inhibit a free progress of science in line with general trends of the developed countries. The existing status of the autonomous state academies, being a peculiar symbiosis the non-governmental organization and state institution, was criticized. The concept of a scientific elite was analyzed, which was used to determine its true level. Certain scientometric data on the Ukrainian science were presented. A very unsatisfactory situation with social sciences and humanities was shown. Criteria were discussed for the future audit of the Ukrainian science in order to reform it in the European style. (shrink)

Physicist Percy Bridgman has been taken by Heather Douglas to be an exemplar defender of an untenable value-free ideal for science. This picture is complicated by a detailed study of Bridgman's philosophical views of the relation between science and society. The normative autonomy of science, a version of the value-free ideal, is defended. This restriction on the provenance of permissible values in science is given a basis in Bridgman's broader philosophical commitments, most importantly, his view (...) that science is primarily an individual commitment to a set of epistemic norms and values. Considerations of external moral or social values are not, on this view, intrinsic to scientific practice, though they have a broader pragmatic significance. What Bridgman takes as the proper relation between science and society is shown through analysis of his many writings on the topic and consideration of his rarely remarked upon involvement in the most problematic example of "Big Science" of his day: the atomic bomb. A reevaluation of Bridgman's views provides a unique characterization of what is at stake in the values in science debate: the normative autonomy of science. (shrink)

Philosophers of science are increasingly arguing for the importance of doing scientifically- and socially-engaged work, suggesting that we need to reduce barriers to extra-disciplinary engagement and broaden our impact. Yet, we currently lack empirical data to inform these discussions, leaving a number of important questions unanswered. How common is it for philosophers of science to engage other communities, and in what ways are they engaging? What barriers are most prevalent when it comes to broadly disseminating one’s work or (...) collaborating with others? To what extent do philosophers of science actually value an engaged approach? Our project addresses this gap in our collective knowledge by providing empirical data regarding the state of philosophy of science today. We report the results of a survey of 299 philosophers of science about their attitudes towards and experiences with engaging those outside the discipline. Our data suggest that a significant majority of philosophers of science think it is important for non-philosophers to read and make use of their work; most are engaging with communities outside the discipline; and many think philosophy of science, as a discipline, has an obligation to ensure it has a broader impact. Interestingly, however, many of these same philosophers believe engaged work is generally undervalued in the discipline. We think these findings call for cautious optimism on the part of those who value engaged work—while there seems to be more interest in engaging other communities than many assume, significant barriers still remain. (shrink)

Trust is a topic of longstanding philosophical interest. It is indispensable to every kind of coordinated human activity, from sport to scientific research. Even more, trust is necessary for the successful dissemination of knowledge, and by extension, for nearly any form of practical deliberation and planning. Without trust, we could achieve few of our goals and would know very little. Despite trust’s fundamental importance in human life, there is substantial philosophical disagreement about what trust is, and further, how trusting is (...) normatively constrained and best theorized about in relation to other things we value. This entry is divided into three sections, which explore key (and sometimes interconnected) ethical and epistemological themes in the philosophy of trust: (1) The Nature of Trust; (2) The Normativity of Trust, and (3) The Value of Trust. (shrink)

Making decisions with an, often significant, element of risk seems to be an integral part of many of the projects of the diverse profession of engineering. Whether it be decisions about the design of products, manufacturing processes, public works, or developing technological solutions to environmental, social and global problems, risk taking seems inherent to the profession. Despite this, little attention has been paid to the topic and specifically to how our understanding of engineering as a distinctive profession might affect (...) how we should make decisions under risk. This paper seeks to remedy this, firstly by offering a nuanced account of risk and then by considering how specific claims about our understanding of engineering as a social profession, with corresponding social values and obligations, should inform how we make decisions about risk in this context. (shrink)

In this paper, I criticize the thesis that value-laden approaches in American philosophy of science were marginalized in the 1960s through the editorial policy at Philosophy of Science and funding practices at the National Science Foundation. I argue that there is no available evidence of any normative restriction on philosophy of science as a domain of inquiry which excluded research on the relation between science and society. Instead, I claim that the absence of any exemplary, (...) professional philosopher who discussed the relation between science and society sufficed to narrow the focus of philosophers of science, given the institutional stabilization of the domain within professional philosophy from 1959 onwards. (shrink)