The rapidly changing field of genetics affects society through advances in health-care and through implications of genetic research. This study addresses the impacts of new genetic discoveries and technologies on different segments of today's society. The book begins with a chapter on genetic complexity, and subsequent chapters discuss moral and ethical questions arising from today's genetics from the perspectives of health care professionals, the media, the general public, special interest groups and commercial interests.

A recent movement in the social sciences and philosophy of the social sciences focuses on mechanisms as a central analytical unit. Starting from a pluralist perspective on the aims of the social sciences, I argue that there are a number of important aims to which knowledge about mechanisms—whatever their virtues relative to other aims—contributes very little at best and that investigating mechanisms is therefore a methodological strategy with fairly limited applicability. Key Words: social (...) science • mechanisms • explanation • critical realism • methodology. (shrink)

Academic and public debates are increasingly concerned with the question whether and how algorithmic decision-making may reinforce social inequality. Most previous research on this topic originates from computer science. The social sciences, however, have huge potentials to contribute to research on social consequences of ADM. Based on a process model of ADM systems, we demonstrate how social sciences may advance the literature on the impacts of ADM on social inequality by uncovering and mitigating (...) biases in training data, by understanding data processing and analysis, as well as by studying social contexts of algorithms in practice. Furthermore, we show that fairness notions need to be evaluated with respect to specific outcomes of ADM systems and with respect to concrete social contexts. Social sciences may evaluate how individuals handle algorithmic decisions in practice and how single decisions aggregate to macro social outcomes. In this overview, we highlight how social sciences can apply their knowledge on social stratification and on substantive domains of ADM applications to advance the understanding of social impacts of ADM. (shrink)

The notion of 'natural kinds' has been central to contemporary discussions of metaphysics and philosophy of science. Although explicitly articulated by nineteenth-century philosophers like Mill, Whewell and Venn, it has a much older history dating back to Plato and Aristotle. In recent years, essentialism has been the dominant account of natural kinds among philosophers, but the essentialist view has encountered resistance, especially among naturalist metaphysicians and philosophers of science. Informed by detailed examination of classification in the natural and social (...) sciences, this book argues against essentialism and for a naturalist account of natural kinds. By looking at case studies drawn from diverse scientific disciplines, from fluid mechanics to virology and polymer science to psychiatry, the author argues that natural kinds are nodes in causal networks. On the basis of this account, he maintains that there can be natural kinds in the social sciences as well as the natural sciences. (shrink)

Simulation techniques, especially those implemented on a computer, are frequently employed in natural as well as in social sciences with considerable success. There is mounting evidence that the "model-building era" (J. Niehans) that dominated the theoretical activities of the sciences for a long time is about to be succeeded or at least lastingly supplemented by the "simulation era". But what exactly are models? What is a simulation and what is the difference and the relation between a model (...) and a simulation? These are some of the questions addressed in this article. I maintain that the most significant feature of a simulation is that it allows scientists to imitate one process by another process. "Process" here refers solely to a temporal sequence of states of a system. Given the observation that processes are dealt with by all sorts of scientists, it is apparent that simulations prove to be a powerful interdisciplinarily acknowledged tool. Accordingly, simulations are best suited to investigate the various research strategies in different sciences more carefully. To this end, I focus on the function of simulations in the research process. Finally, a somewhat detailed case-study from nuclear physics is presented which, in my view, illustrates elements of a typical simulation in physics. (shrink)

In 1959 C. P. Snow delivered his now-famous Rede Lecture, 'The Two Cultures,' a reflection on the academy based on the premise that intellectual life was divided into two cultures: the arts and humanities on one side and science on the other. Since then, a third culture, generally termed 'social science' and comprised of fields such as sociology, political science, economics, and psychology, has emerged. Jerome Kagan's book describes the assumptions, vocabulary, and contributions of each of these cultures and (...) argues that the meanings of many of the concepts used by each culture are unique to it and do not apply to the others because the source of evidence for the term is special. The text summarizes the contributions of the social sciences and humanities to our understanding of human nature and questions the popular belief that biological processes are the main determinant of variation in human behavior. (shrink)

This fourth part outlines a strategy for overcoming the limitations of the knowledge system for engineering by combining intellectual maps, preventive approaches, umbrella concepts, and round tables as described in the earlier parts. A discussion of the issues faced by modern medicine illustrates the paradigmatic nature of the diagnosis and prescription made for engineering. The social sciences face mirror-image problems. One response has been the rise of new disciplines such as communications, environmental studies, urban affairs, criminology, and policy (...) studies. To avoid the limitations of discipline-based knowing and doing, a similar strategy for their transformation will have to be implemented. Considerable synergies would result if parallel efforts to transform the present knowledge system were carried out throughout the university. Some suggestions are made as to how this can be supported by organizational and institutional changes. Finally, it is suggested that such a transformation of the university could make a critical and decisive contribution to overcoming the current economic, social, and environmental crises. (shrink)

This article argues that it is possible to bring the social sciences into evolutionary focus without being committed to a thesis the author calls ontological reductionism, which is a widespread predilection for lower-level explanations. After showing why we should reject ontological reductionism, the author argues that there is a way to construe cultural evolution that does justice to the autonomy of social science explanations. This paves the way for a liberal approach to explanation the author calls explanatory (...) pluralism, which allows for the possibility of explaining cultural phenomena in terms of different evolutionary processes. (shrink)

We live in a world of crowds and corporations, artworks and artifacts, legislatures and languages, money and markets. These are all social objects — they are made, at least in part, by people and by communities. But what exactly are these things? How are they made, and what is the role of people in making them? In The Ant Trap, Brian Epstein rewrites our understanding of the nature of the social world and the foundations of the social (...) sciences. Epstein explains and challenges the three prevailing traditions about how the social world is made. One tradition takes the social world to be built out of people, much as traffic is built out of cars. A second tradition also takes people to be the building blocks of the social world, but focuses on thoughts and attitudes we have toward one another. And a third tradition takes the social world to be a collective projection onto the physical world. Epstein shows that these share critical flaws. Most fundamentally, all three traditions overestimate the role of people in building the social world: they are overly anthropocentric. Epstein starts from scratch, bringing the resources of contemporary metaphysics to bear. In the place of traditional theories, he introduces a model based on a new distinction between the grounds and the anchors of social facts. Epstein illustrates the model with a study of the nature of law, and shows how to interpret the prevailing traditions about the social world. Then he turns to social groups, and to what it means for a group to take an action or have an intention. Contrary to the overwhelming consensus, these often depend on more than the actions and intentions of group members. (shrink)

This paper argues that realism issue in the social sciences is not one that can be decided by general philosophical arguments that evaluate entire domains at once. The realism issue is instead many different empirical issues. To defend these claims, I sort issues that are often run together, explicate and criticize several standard realist and antirealist arguments about the social sciences, and use the example of the productive/nonproductive distinction to illustrate the approach to realism questions that (...) I favor. (shrink)

The author argues for the importance of non-Markovian causality in the social sciences because Markovian conditions often cannot be satisfied. Two theorems giving conditions for non-Markovian causes to be transitive are proved. Applications of non-Markovian causality in psychology and economics are outlined.

For decades, scholars in the social sciences and humanities have questioned the appropriateness and utility of prior review of their research by human subjects' ethics committees. This essay seeks to organize thematically some of their published complaints and to serve as a brief restatement of the major critiques of ethics review. In particular, it argues that 1) ethics committees impose silly restrictions, 2) ethics review is a solution in search of a problem, 3) ethics committees lack expertise, 4) (...) ethics committees apply inappropriate principles, 5) ethics review harms the innocent, and 6) better options exist. (shrink)

This review seeks to present a comprehensive picture of recent discussions in the social sciences of the anticipated impact of AI on the world of work. Issues covered include: technological unemployment, algorithmic management, platform work and the politics of AI work. The review identifies the major disciplinary and methodological perspectives on AI’s impact on work, and the obstacles they face in making predictions. Two parameters influencing the development and deployment of AI in the economy are highlighted: the capitalist (...) imperative and nationalistic pressures. (shrink)

This article explores the characteristics of research sites that scientists have called “natural experiments” to understand and develop usable distinctions for the social sciences between “Nature’s or Society’s experiments” and “natural experiments.” In this analysis, natural experiments emerge as the retro-fitting by social scientists of events that have happened in the social world into the traditional forms of field or randomized trial experiments. By contrast, “Society’s experiments” figure as events in the world that happen in circumstances (...) that are already sufficiently “controlled” to be open for direct analysis without reconstruction work. (shrink)

The feminist philosopher and social scientist shows how "gendering" has affected the social and natural sciences as she reconciles the long-standing dichotomy between the quantitative and qualitative methods and demonstrates the tandem use of both experimental and intuitive approaches.

In this wide-ranging work, now available in paperback, Habermas presents his views on the nature of the social sciences and their distinctive methodology and concerns. He examines, among other things, the traditional division between the natural sciences and the social sciences; the characteristics of social action and the implications of theories of language for social enquiry; and the nature, tasks and limitations of hermeneutics. Habermas' analysis of these and other themes is, as always, (...) rigorous, perceptive and constructive. This brilliant study succeeds in highlighting the distinctive characteristics of the social sciences and in outlining the nature of, and prospects for, critical theory today. (shrink)

This article discusses Mesoudi et al.’s suggestion to synthesise the social sciences based on a theory of cultural evolution. In view of their proposal, I shall discuss two key questions. (I) Is their theory of cultural evolution a promising candidate to synthesise the social sciences? (II) What is the added value of evolutionary approaches for the social sciences? My aim is to highlight some hitherto underestimated challenges for transformative evolutionary approaches to the social (...) sciences that come into view when one looks at these questions against the backdrop of actual scientific practice in the social sciences. (shrink)

situation in the sciences of man and show it to be fallacious. On the view to be 6 rejected, the sciences of man are undergoing the first serious attempt in history to 7 thoroughly naturalize their subject matter and thus to put an end to their separate sta- 8 tus. Progress has (on this view) been quite considerable in the disciplines in charge 9 of the individual, while in the social sciences the outcome of the process (...) is moot: 10 the naturalistic social sciences are still in their infancy, and whether they will even- 11 tually engulf or at least profoundly transform the field of social science is unclear. 12 The dichotomous conception pits two camps against one another. On the one hand, 13.. (shrink)

The fact that causal laws in the social sciences are most realistically expressed as both multivariate and stochastic has a number of very important implications for indirect measurement and generalizability. It becomes difficult to link theoretical definitions of general constructs in a one-to-one relationship to research operations, with the result that there is conceptual slippage in both experimental and nonexperimental research. It is argued that problems of this nature can be approached by developing specific multivariate causal models that (...) incorporate sources of measurement bias, along with the theoretical variables of interest. Many general concepts are defined in such a way that causal assumptions are built into the definitions themselves. Additionally, in any given piece of research it is necessary to omit many variables from consideration, and this is often done without careful consideration of the assumptions required to justify such omissions. Finally, generalization to more inclusive populations or a diversity of settings ordinarily requires one to replace constants by variables. It is concluded that the criteria of parsimony, generalizability, and precision are incompatible, given the multivariate nature of social causation, and the author expresses his own preference for sacrificing parsimony in favor of the objectives of achieving increased precision and generalizability of social science laws. (shrink)

The so-called evolutionary social scienccs are based on the belief that Darwinism can explain the living world and that it therefore should be able to explain other complex systems such as minds and societies. In fact, Darwinism cannot explain biological evolution. It does make an important contribution, but this is towards understanding adaptation, which is a major problem in biology but not in the social sciences. Darwinism has much less to offer to the social sciences (...) than to biology and the shortcomings it brings with it are much greater. (shrink)

This book makes trouble: it explores the reality that digital culture is largely an extension of an older coloniality of power of the global north. It suggests a line of inquiry for the social sciences to reflect on their own imperial role and develop a contemporary critical and pragmatic scope, shifting their gaze from problems to opportunities.

This paper presents a model of functional explanations as a species of ordinary causal explanation and argues that they are widespread for understandable reasons in the social sciences. The remainder of the paper then looks at specific functional explanations in the social research and examines the prospects and problems for those accounts.

This article argues that a particular notion of rationality, more exactly a specific notion of legitimate inference, is presupposed by much work in the social sciences to their detriment. The author describes the notion of rationality he has in mind, explains why it is misguided, identifies where and how it affects social research, and illustrates why that research is weaker as a result. The notion of legitimate inference the author has in mind is one that believes inferences (...) are guided by principles that are formal, universal and a priori—that is, that make no substantive, domain-specific empirical assumptions about the world. The author briefly provides a variety of reasons to be skeptical about such principles. Those reasons extend from broad philosophical considerations to quasi-empirical evidence. The author then argues that this notion of inference is involved with both the practice and the content of the social sciences in various ways. In terms of practice, this notion of inference lies behind the way statistical testing is generally done in the social sciences. In terms of content, the author argues that this notion of rationality is invoked, for example, in game theory and in rational expectations macroeconomics. In all cases, use of the formal rationality notion leads social scientists to put more faith in their results than is warranted and thus is an obstacle to doing better social science. (shrink)

It is the thesis of this paper that the term scientific law can and should mean in the social sciences exactly what it means in any of the other sciences. There seems to be considerable agreement among scientists as well as others that a scientific law is a generalized and verifiable statement, within measurable degrees of accuracy, of how certain events occur under stated conditions. If I were to attempt a more specific statement I would say that (...) a law is a group of verbal or mathematical symbols designating an unlimited number of defined events in terms of a limited number of reactions so that the performance of specified operations always yields predictable results within measurable limits. (shrink)

A basic naturalistic epistemological intuition that Theo Kuipers and I share is the idea that the differences between the natural and the social sciences do not stand in the way of co-operative, integrative, and perhaps even reductive relations between them. In several papers I have offered a teleofunctional argument against interpretationalist autonomy claims and Kuipers (2001), Chapter 6 seems to favor this type of rebuttal. However, within the last 15 years or so, there has been a revival of (...) another kind of "verstehende," or rather "einfühlende," approach, which differs in some significant respects from the interpretationalist view. In this paper I investigate whether this so-called simulation theory might cause trouble for our naturalistic view of the relation between the natural and the social sciences. (shrink)

In this paper, we use the case of the COVID-19 pandemic in Europe to address the question of what kind of knowledge we should incorporate into public health policy. We show that policy-making during the COVID-19 pandemic has been biomedicine-centric in that its evidential basis marginalised input from non-biomedical disciplines. We then argue that in particular the social sciences could contribute essential expertise and evidence to public health policy in times of biomedical emergencies and that we should thus (...) strive for a tighter integration of the social sciences in future evidence-based policy-making. This demand faces challenges on different levels, which we identify and discuss as potential inhibitors for a more pluralistic evidential basis. (shrink)

Ethics review processes are frequently perceived as extending from codes and protocols rooted in biomedical disciplines. As a result, many researchers in the humanities and social sciences (HASS) find these processes to be misaligned, if not outrightly obstructive to their research. This leads some scholars to advocate against HASS participation in institutional review processes as they currently stand, or in their entirety. While ethics review processes can present a challenge to HASS researchers, these are not insurmountable and, in (...) fact, present opportunities for ethics review boards (ERBs) to mediate their practices to better attend to the concerns of the HASS disciplines. By highlighting the potential value of the ethics review process in recognising the nuances and specificity across different forms of research, this article explores the generative possibilities of greater collaboration between HASS researchers and ERBs. Remaining cognisant of the epistemic and methodological differences that mark different disciplinary formations in turn will benefit the ethical conduct of all researchers. (shrink)

Some scholars claim that Critical Realism promises well for the unification of the social sciences, e.g., "Unifying social science: A critical realist approach" in this volume. I will first show briefly how Critical Realism might unify social science. Secondly, I focus on the relation between the ontology and methodology of Critical Realism, and unveil the politics of metaphysics. Subsequently, it is argued that the division of labour between social scientific disciplines should not be metaphysics-driven, but (...) rather question-driven. In conclusion, I will therefore defend a question-driven pluralism as a guide for interdisciplinarity. (shrink)