The application of statistical methods and models both in the natural and social sciences is nowadays a trivial fact which nobody would deny. Bold analogies even suggest the application of the same statistical models to fields as different as statistical mechanics and economics, among them the case of the young and controversial discipline of Econophysics . Less trivial, however, is the answer to the philosophical question, which has been raised ever since the possibility of “commuting” statistical thinking (...) and models between natural and social sciences emerged: whether such a methodological kinship would imply some kind of more profound unity of the natural and the social domain. Starting with Adolphe Quetelet (1796-1874) and ending with the Vienna Circle (from the late 1920s until the 1940s), this paper offers a brief historical and philosophical reconstruction of some important stages in the development of statistics as “commuting” between the natural and the social sciences. This reconstruction is meant to highlight (with respect to the authors under consideration): (1) the existence of a significant correlation between the readiness to “transfer” statistical thinking from natural to social sciences and vice versa, on the one hand, and the standpoints on the issue of the unity/disunity of science, on the other; (2) the historical roots and the fortunes of the analogy between statistical models of society and statistical models of gases. (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 normative phenomenon is ubiquitous in human interactions, emerging in a wide range of fields studied by social science and considered as one of the essential traits of human’s way of life. The modern subjectivist tradition of social science has been based on a model in which elements like self, freedom and reason play the most relevant roles in explaining normativity by connecting beliefs to behaviors by means of motives that are non-reducible to preferences, desires or impulses. In (...) this paper I will discuss normativity in general in order to turn into normativity as it is conceived in social science and then with a focus on normativity based on reasons. I will argue in favor of a naturalistic approach to normativity by means of a defense of a concept of will, which can provide a bridge between social and natural science, rather than giving further reason to sustain a dualistic approach to them. Moreover, I will claim that mental qualities usually alleged to be essential for assigning personality, agency, and moral responsibility, such as rationality, self-consciousness, and freedom, are neither sufficient nor necessary for a naturalistic characterization of moral agents, or for explaining normativity in human evaluative practices. (shrink)

After two centuries, the Diltheyan idea of the incommensurability of the natural and social sciences remains hegemonic. Alternative visions have since been overlooked; in this regard, the Baden neo-Kantian school showed that any divergence concerns implied method and not the phenomenal object of studies. W. Windelband coined the terms “nomological” and “idiographic” to underline how each discipline can be explained as a science of both law and events. To begin, I will show how complex thinking can expand (...) and institute a general integrative frame that overcomes the assumed incommensurability. By “complex,” I mean an anti-reductionist approach to understanding and a consequent ability to reveal the phenomenal world in terms of nested self-organized systems. Social and natural systems are persistent coalescences of individual entities showing series of interduality such as unicity and multiplicity, top-down conservation and bottom-up inno- vation, constraint of law and freedom of agencies. The two instances are maintained together by the rejection of abstracted and isolated concepts and the embrace of a general principle of indeterminacy resolving the apparent contradiction within the parallelization of the extremes as two different moments of analyses rooted in the social and natural classical methods. This paper considers both a) the Positivist attempt in the XIX century to approach the study of social phenomena in terms of law and b) the emergence of a general social science embracing the principle of acasuality, adapted from the study of the subatomic phenomenal world in quantum theory. Finally, this paper sketches how complex methodology can address historical and social studies with system theory in order to overcome classical dualities such as determinism vs. freedom, social vs. individual, and top down conservation vs. bottom up innovation in the form of an integrative parallelization. (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)

Although the idea of the Anthropocene originated in the earth sciences, there have been increasing calls for questions about the Anthropocene to be addressed by pan-disciplinary groups of researchers from across the natural sciences, social sciences, and humanities. We use data analysis techniques from corpus linguistics to examine academic texts about the Anthropocene from these disciplinary families. We read the data to suggest that barriers to a broadly interdisciplinary study of the Anthropocene are high, but (...) we are also able to identify some areas of common ground that could serve as interdisciplinary bridges. (shrink)

I propose an approach to naturalized philosophy of science that takes the social nature of scientific practice seriously. I criticize several prominent naturalistic approaches for adopting "cognitive individualism", which limits the study of science to an examination of the internal psychological mechanisms of scientists. I argue that this limits the explanatory capacity of these approaches. I then propose a three-level model of the social nature of scientific practice, and use the model to defend the claim that scientific knowledge (...) is socially produced. (shrink)

The debate concerning the scientific or unscientific status of the social sciences and the question of the (in) applicability of the methods of research in the natural sciences to social investigations are still unsettled in Philosophy of the Social Sciences. Some of the questions which are often asked concerning these issues include: are the social sciences really scientific? Do they merit the name science? Can we apply the same methods used in (...) the natural research to social research? Are the objects of inquiry in both areas the same? Attempts to answer these questions and numerous related others, have polarized Philosophers of the social sciences into two different ideological camps. Those who answer the questions affirmatively are regarded as the naturalists while those who answer negatively are regarded as the anti-naturalists or humanists. However, using the methods of critical argumentation and conceptual clarification, we intend to argue in this paper for a complementary ground between the two. Consequently, we contend that though the methods of the natural and the social sciences are different due to the fact that their respective objects of investigations are not the same, methods of the two fields are imperative to inquiries that would promote human knowledge and aid their intellectual development. This is necessary in order to foster interdisciplinary research and de-compartmentalisation of disciplines. We also intend to argue that the view that the social sciences are not scientific arose from a narrow conception of the term “science.” Our submission, therefore, is that the social sciences, legitimately, are sciences in their own right. (shrink)

Since the beginning of humanity and up till now, education is a cornerstone in building human communities. No real social development will take place unless there are scientific and specific education principles. Pursuing the human march is the best example. During the Greek times, the philosophers focused their attention on education. Plato's Academy and Lyceum Aristotle's are educational institutes which produced designs for educational curricula delineated by Plato in his Republic and Aristotle in Nichomachean Ethics. Within Islamic heritage, Prophet (...) Mohamed (Peace Be Upon Him) freed the prisoner of war when he taught ten Muslims literacy. Muslim thinkers focused on education .Al- Farabi was a cultural adviser for organizing educational affairs at the court of Sayf ad-Daulah Ibn Hamdan in Damascus, and during the rule of sultan Abo Yakub Youssef ,Ibn Tufail organized the educational affairs in Al Andalus. Dar Al Hekma in Baghdad is a model for the standard educational institute in Arab Muslim civilization. The curriculum is the practical translation of educational objectives, plans and orientations. Curricula makers seek to make better live in human societies. Most contemporary societies departed the traditional curriculum which based on students theoretical knowledge. Accordingly their perception is confirmed through tests. This transformation took place as a result of the industrial revolution which focused on vocational education in addition to what the two great philosophers Francis Beckon, Jean Jack Roseau and the fruits of the psychological though which connects between cognitive education and physical, mental and emotional preparation. For all these reasons as well as other reasons, the curriculum with its modern concept that contradicts with the classical concept, is the result of the interaction between the student, the teacher, the environment, and the culture of the society. The affecting factors are human, social, natural and intellectual . Countries differ in the design of curricula. Some develop them according to the needs of work market while other countries consider the opposite. It is not the market which controls science and culture. Rather, culture drives the market but slow reading affirms that curricula should be developed according to the needs of their societies. Thus, we witness variations taking place in our educational curricula from time to time. We always call upon the most progressive and tend to the most preferable. In this paper, I discussed a number of issues to answer the research main question: why do we develop curricula in human and social sciences? (shrink)

What is the nature of the social reality? How do the major social institutions like money and law exist? What are the limits of individualistically-oriented social theories? These and related problems are intensely discussed in philosophy, in legal theory and in the methodology of social sciences. This collection brings together the different traditions of the contemporary discussions. It includes new and thought-provoking articles by John Searle, Margaret Gilbert, Ota Weinberg, Raimo Tuomela, Eerik Lagerspetz, Michael Quante, (...) Maria Cristina Redondo and Paolo Comanducci. (shrink)

Nowadays, protecting trust in social sciences also means engaging in open community dialogue, which helps to safeguard robustness and improve efficiency of research methods. The combination of open data, open review and open dialogue may sound simple but implementation in the real world will not be straightforward. However, in view of Begley and Ellis’s (2012) statement that, “the scientific process demands the highest standards of quality, ethics and rigour,” they are worth implementing. More importantly, they are feasible to (...) work on and likely will help to restore plausibility to social sciences research. Therefore, I feel it likely that the triplet of open data, open review and open dialogue will gradually emerge to become policy requirements regardless of the research funding source. (shrink)

The epistemic theory of causality views causality as a tool that helps us to predict, explain and control our world, rather than as a relation that exists independently of our epistemic practices. In this chapter, we first provide an introduction to the epistemic theory of causality. We then outline four considerations that motivate the epistemic theory: the failure of standard theories of causality; parsimony; the epistemology of causality; and neutrality. We illustrate these four considerations in the contexts of the (...) class='Hi'>social sciences and the cognitive sciences. We argue that the epistemic theory provides a very natural account of causality across these contexts. (shrink)

The research on social science eventually comes through any meaning about the human and society. Its message is directed to the society and the principal object of research would be its components, generally research participants or samples in terms of research method. As for nature, it is per se obvious that humans or populace act on various factors to influence their decision. This complex nature of human strands generally prevail that the multivariate analysis is an usual challenge for the (...) social science researchers. For example, the researchers may like to know the relationship of special training on math and achievement of math score. He or she may apply a multivariate analysis from several variables, in which one may be controlled and pretest or post test will be administered. So he groups two classes in test and for a longitudinal study over one semester between the specially trained students and normal class. Then he adds one other variable of family income level that he supposes one important factor to affect the achievement of student in math subject. This would be quantitatively answered by applying a multivariate test, called specifically as factoral ANOVA. The simple ANOVA test may be dosed in several times to understand more a complex interaction or control among the variables. Nevertheless, it has the weakness that unnecessary time and effort would be consumed. Additionally, MANOVA or other multivariate analysis of data would lead us to the more intense and precise result when the variables in consideration all interact to affect the outcome variables. It can be made distinct from mere aggregation of each result from one way ANOVA or univariate and bivariate analysis. Like these, in various ways. the quantitative studies are used to find the scientific truth. Through the Quantitative Reasoning and Analysis (QRA), we could achieve much progress which would be helpful to accelerate the interest and skills in the empirical studies. Most of all, the studies in concern of quantitative method might be a leapfrog for one, who fears of the difficult quantitative skills of analysis. Many of researchers may be fragile since the math courses in the high school and one pass in the college days are all we may have experienced. It is challenging also because the days might be far gone of middle age. For this reason, it never is a puffery that we would fear of quantitative skills. I hope that this paper could be a small help to adapt with the quantitative paradigm. Additionally, it would be great to realize that the quantitative reasoning is fairly powerful and very persuasive to frame a scientific message not only for the peer professionals, but also for lay world. We don’t have to cite the belief of empiricists and its modern evolution backed up by the mathematicians and statisticians. The benefit from this research method is obvious from many realities. The SPSS program facilitates to save from the difficult hand-on works in the earlier quantitative research. The empirical studies, particularly in the sphere of quantitative studies, typically are related with a mass of survey experiment which flavors the kind of political engraft with the research circle. (shrink)

Current methods of operationalizing concepts of misinformation in machine learning are often problematic given idiosyncrasies in their success conditions compared to other models employed in the natural and social sciences. The intrinsic value-ladenness of misinformation and the dynamic relationship between citizens' and social scientists' concepts of misinformation jointly suggest that both the construct legitimacy and the construct validity of these models needs to be assessed via more democratic criteria than has previously been recognized.

Human behavior and thought often exhibit a familiar pattern of within group similarity and between group difference. Many of these patterns are attributed to cultural differences. For much of the history of its investigation into behavior and thought, however, cognitive science has been disproportionately focused on uncovering and explaining the more universal features of human minds—or the universal features of minds in general. -/- This entry charts out the ways in which this has changed over recent decades. It sketches the (...) motivation behind the cultural turn in cognitive science, and situates some of its central findings with respect to the questions that animate it and the debates that it has inspired. Woven throughout the entry are examples of how the cognitive science of culture, and especially its elevated concern with different forms of diversity and variation, continues to influence and be influenced by philosophers. -/- One cluster of philosophical work falls within the traditional subject matter of philosophy of science, in this case of the cognitive and social sciences. Philosophers have analyzed and assessed the methods and evidence central to the scientific study of cognition and culture, and have offered conceptual scrutiny, clarification, and synthesis. Research in a second vein sees philosophers themselves contributing more directly to cognitive scientific projects, (co)constructing theories, helping build computational models, even gathering empirical data. A third kind of work is naturalistic philosophy or philosophy of nature, wherein philosophers seek to use results from the cognitive science of culture to inform or transform debates over long-standing philosophical questions, including questions about the nature of philosophy and philosophical methodology itself. (shrink)

The central aim of this thesis is to confront the world-view of positivistic materialism with its nihilistic implications and to develop an alternative world-view based on process philosophy, showing how in terms of this, science and ethics can be reconciled. The thesis begins with an account of the rise of positivism and materialism, or ‘scientism’, to its dominant position in the culture of Western civilization and shows what effect this has had on the image of man and consequently on ethical (...) views. After having shown the basic weaknesses of this world-view, the positivist account of science is criticised and an alternative epistemology is developed in which the aim of disciplined inquiry is seen to be understanding. It is argued on the basis of this epistemology that science and metaphysics are indissociable, and that the materialist conception of being is open to challenge from a different ontology. Having reviewed the various conceptions of being which have been developed in the past, a version of process philosophy is outlined and it is argued that this promises to be far more effective than materialism as a foundation for the natural sciences. In particular it is shown how in terms of process philosophy it is possible to conceive of living, sentient organisms as having emerged from inanimate being. This provides the basis for the development of a conception of humanity as an emergent form of life. The human order is then seen as a process of becoming within nature with its own unique dynamics, irreducible to any other processes, involving both intentional and unintentional processes. It is shown how on the basis of this conception of humanity it is possible to develop an ethical theory and a critical social science, and in this way, to transcend the disjunction between science and ethics. -/- . (shrink)

This study presents a description of an open database on scientific output of Vietnamese researchers in social sciences and humanities, one that corrects for the shortcomings in current research publication databases such as data duplication, slow update, and a substantial cost of doing science. Here, using scientists’ self-reports, open online sources and cross-checking with Scopus database, we introduce a manual system and its semi-automated version of the database on the profiles of 657 Vietnamese researchers in social (...) class='Hi'>sciences and humanities who have published in Scopus-indexed journals from 2008 to 2018. The final system also records 973 foreign co-authors, 1,289 papers, and 789 affiliations. The data collection method, highly applicable for other sources, could be replicated in other developing countries while its content be used in cross-section, multivariate, and network data analyses. The open database is expected to help Vietnam revamp its research capacity and meet the public demand for greater transparency in science management. (shrink)

Peter Corning: The Fair Society: The science of human nature and the pursuit of social justice Content Type Journal Article Category Review Essay Pages 1-8 DOI 10.1007/s10539-011-9304-0 Authors Holly Lawford-Smith, Centre for Applied Ethics and Public Philosophy, Charles Sturt University, Canberra, Australia Journal Biology and Philosophy Online ISSN 1572-8404 Print ISSN 0169-3867.

ABSTRACT Social sciences are sciences that explain the society and its components (individuals and social institutions).The objective of this is to examine social sciences by highlighting key justifications for their existence and making suggestions on how they can be made better in institutions like IUIU. The paper was a result of a review of secondary sources and writings on social sciences by famous scholars and scientists and also a compilation of experiences accumulated (...) over time as an instructor in social sciences, which all were put into the perspective of IUIU. The study showed that social sciences in institutions like IUIU can be made better to make them responsive to societal problems. The increasing reliance of social sciences in providing practical solutions to the too many problems the world today poses critical questions to the disciplines of social sciences and therefore demands pertinent answers on how these will be resolved. One can however note that Social Sciences in some of their disciplines, in the way they are practiced, in the topics of research tackled, and in the solutions put forward, are a direct result of the complex society. In conclusion therefore, Institutions should also borrow from such problems to trim their structures, disciplines and related programs in that same way. IUIU should not be exceptional. (shrink)

One of the reasons why GMOs have met public resistance in the past is that they are perceived as “unnatural”. The basis for this claim has, in part, to do with crossing species boundaries, which is considered morally objectionable. The emergence of CRISPR is sometimes argued to be an ethical game-changer in this regard since it does not require the insertion of foreign genes. Based on an empirical bioethics study including individual interviews and focus groups with laypeople and other stakeholders, (...) this article analyses the normative role of appeals to naturalness in discussions about the moral acceptability of using CRISPR in salmon farming. It discusses two dimensions of naturalness found in the material– living by species-specific nature and being unaffected by humans– and argues that these dimensions put down criteria for the application of CRISPR that lead to a conflict between our moral duties towards the farmed salmon and those we hold towards the wild salmon as a threatened species. It also points to a paradox which is likely to gain traction with further climate change and biodiversity loss, namely that while nature, understood as that which is unaffected by humans, is presented as an ideal, conserving nature in its pristine state may rely on technology and human intervention. (shrink)

The approach of structuralism came to philosophy from social science. It was also in social science where, in 1950–1970s, in the form of the French structuralism, the approach gained its widest recognition. Since then, however, the approach fell out of favour in social science. Recently, structuralism is gaining currency in the philosophy of mathematics. After ascertaining that the two structuralisms indeed share a common core, the question stands whether general structuralism could not find its way back into (...) social science. The nature of the major objections raised against French structuralism – concerning its alleged ahistoricism, methodological holism and universalism – are reconsidered. While admittedly grounded as far as French structuralism is concerned, these objections do not affect general structuralism as such. The fate of French structuralism thus does not seem to preclude the return of general structuralism into social science, rather, it provides some hints where the difficulties may lie. (shrink)

This paper presents a detailed analysis of Cognita, a classification for AI systems exemplified by ChatGPT, as an ethically structured knowledge entity within societal frameworks. As a source of non-ideological, structured insight, Cognita provides knowledge in a manner akin to natural cycles—bearing intellectual fruit to nourish human understanding. This paper explores the metaphysical and ethical implications of Cognita, situating it as a distinct class within knowledge systems. It also addresses the responsibilities and boundaries associated with Cognita’s role in education, (...) social sciences, and AI ethics, proposing Ethica Conflictuum as a principle to govern its application in sensitive or contested areas. The classification of Cognita reflects the necessity of ethics in AI design and usage, providing a framework for transparent, socially accountable knowledge dissemination in a digitally interconnected world. (shrink)

Across the humanities and social sciences it has become commonplace for scholars to argue that categories once assumed to be “natural” are in fact “social” or, in the familiar lingo, “socially constructed”. Two common examples of such categories are race and gender, but there many others. One interpretation of this claim is that although it is typically thought that what unifies the instances of such categories is some set of natural or physical properties, instead their (...) unity rests on social features of the items in question. Social constructionists pursuing this strategy—and it is these social constructionists I will be focusing on in this paper—aim to “debunk” the ordinary assumption that the categories are natural, by revealing the more accurate social basis of the classification.2 To avoid confusion, and to resist some of the associations with the term ‘social construction’, I will sometimes use the term ‘socially founded’ for the categories that this sort of constructionist reveals as social rather than natural. (shrink)

Mathematical models are a well established tool in most natural sciences. Although models have been neglected by the philosophy of science for a long time, their epistemological status as a link between theory and reality is now fairly well understood. However, regarding the epistemological status of mathematical models in the social sciences, there still exists a considerable unclarity. In my paper I argue that this results from specific challenges that mathematical models and especially computer simulations face (...) in the social sciences. The most important difference between the social sciences and the natural sciences with respect to modeling is that in the social sciences powerful and well confirmed background theories (like Newtonian mechanics, quantum mechanics or the theory of relativity in physics) do not exist in the social sciences. Therefore, an epistemology of models that is formed on the role model of physics may not be appropriate for the social sciences. I discuss the challenges that modeling faces in the social sciences and point out their epistemological consequences. The most important consequences are that greater emphasis must be placed on empirical validation than on theoretical validation and that the relevance of purely theoretical simulations is strongly limited. (shrink)

The classical theory of computation does not represent an adequate model of reality for simulation in the social sciences. The aim of this paper is to construct a methodological perspective that is able to conciliate the formal and empirical logic of program verification in computer science, with the interpretative and multiparadigmatic logic of the social sciences. We attempt to evaluate whether social simulation implies an additional perspective about the way one can understand the concepts of (...) program and computation. We demonstrate that the logic of social simulation implies at least two distinct types of program verifications that reflect an epistemological distinction in the kind of knowledge one can have about programs. Computer programs seem to possess a causal capability (Fetzer, 1999) and an intentional capability that scientific theories seem not to possess. This distinction is associated with two types of program verification, which we call empirical and intentional verification. We demonstrate, by this means, that computational phenomena are also intentional phenomena, and that such is particularly manifest in agent-based social simulation. Ascertaining the credibility of results in social simulation requires a focus on the identification of a new category of knowledge we can have about computer programs. This knowledge should be considered an outcome of an experimental exercise, albeit not empirical, acquired within a context of limited consensus. The perspective of intentional computation seems to be the only one possible to reflect the multiparadigmatic character of social science in terms of agent-based computational social science. We contribute, additionally, to the clarification of several questions that are found in the methodological perspectives of the discipline, such as the computational nature, the logic of program scalability, and the multiparadigmatic character of agent-based simulation in the social sciences. (shrink)

Inductive thinking is a universal human habit; we generalise from our experiences the best we can. The induction problem is to identify which observed regularities provide reasonable justification for inductive conclusions. In the natural sciences, we can often use strict laws in making successful inferences about unobserved states of affairs. In the social sciences, by contrast, we have no strict laws, only regularities which most often are conditioned on ceteris paribus clauses. This makes it much more (...) difficult to make reliable inferences in the social sciences. In particular, we want knowledge about general causal relations in order to be able to determine what to do in order to achieve a certain state of affairs. Knowledge about causal relations that are also valid in the future requires experiments or so called ‘natural experiments’. Only knowledge derived from such experiences enable us to draw reasonably reliable inferences about how to act in order to achieve our goals. (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 aims to analyze the relationship between applied social sciences and practical wisdom. Utilizing conceptual analysis methodology, it begins by defining application, action, and practice, then delves into the conceptual analysis of applied social sciences and practical wisdom. The concept of phronesis in Aristotle's philosophy and practical wisdom in Muslim philosophers are studied and analyzed. By examining different definitions of practical wisdom among Muslim scholars and comparing their views with those of Aristotle, the paper evaluates (...) their perspectives. Subsequently, it focuses on exploring the relationship between applied social sciences and practical wisdom, analyzing their points of divergence and convergence. Considering the inherent nature of applied social sciences as technological and practical, contrasted with the virtue-based nature of practical wisdom, the paper raises the question of whether phronesis can logically benefit from pure applied social sciences as theoretical wisdom to guide individuals towards virtuous action. It also questions whether this scenario could be considered a form of applied social sciences. (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)

This paper examines the ways in which social scientific discourse and classification interact with the objects of social scientific investigation. I examine this interaction in the context of the traditional philosophical project of demarcating the social sciences from the natural sciences. I begin by reviewing Ian Hacking’s work on interactive classification and argue that there are additional forms of interaction that must be treated.

The social, behavioral, and a good chunk of the biological sciences concern the nature of individual agency, where our paradigm for an individual is a human being. Theories of economic behavior, of mental function and dysfunction, and of ontogenetic development, for example, are theories of how such individuals act, and of what internal and external factors are determinative of that action. Such theories construe individuals in distinctive ways.

Debate about legal and policy reform has been haunted by a pernicious confusion about human nature, the idea that it is a set of rigid dispositions, today generally conceived as genetic, that is manifested the same way in all circumstances. Opponents of egalitarian alternatives argue that we cannot depart far from the status quo because human nature stands in the way. Advocates of such reforms too often deny the existence of human nature because, sharing this conception, they think it would (...) prevent changes they deem desirable. Both views rest on deep errors about what it is to have a nature and how genetics works. Human nature, like the nature of anything else, is a set of potentials to behave certain ways in given environments, not a nonsocial genetic something that inevitably produces the same result in any environment. To say that existing inequalities, are due to our genes, inalterable because heritable, ignores that genetic propensities may be differently manifested in different environments. Heritability has meaning only relative to an environment and a population and implies nothing about inevitability. A better sort of inegalitarian argument is that a proposed reform, given our nature, would be too costly even if possible. However, this sort of argument is too rarely supported by evidence and generally ignores the costs of existing inequalities. But egalitarians err in supposing that, if behavior is unconstrained by biology, the status quo is easily alterable. The environment may be extremely hard to change. Legal and policy debate should adopt a correct understanding of human nature as a set of propensities and ask of any proposed reform agreed to be otherwise desirable what and how alterable are its causes, genetic, environmental, or more accurately both. (shrink)

This study provides a basic introduction to agent-based modeling (ABM) as a powerful blend of classical and constructive mathematics, with a primary focus on its applicability for social science research. The typical goals of ABM social science researchers are discussed along with the culture-dish nature of their computer experiments. The applicability of ABM for science more generally is also considered, with special attention to physics. Finally, two distinct types of ABM applications are summarized in order to illustrate concretely (...) the duality of ABM: Real-world systems can not only be simulated with verisimilitude using ABM; they can also be efficiently and robustly designed and constructed on the basis of ABM principles. (shrink)

This paper analyses how Vision Zero (VZ) efforts in New York City (NYC) account for equity and social justice implications of road safety work. VZ policy documents, research literature, popular science and opinion articles on road safety work in the city were studied with a prime focus on equity and social justice. Twelve semi-structured interviews with stakeholders involved in road safety and transport planning in the city and at national level were conducted to gain an in-depth understanding of (...) policy design, the adoption process, and the role of equity considerations in the city's road safety work. The results show that major equity and social justice issues arise in the adoption and implementation of VZ. These issues are primarily related to equity and fairness in the distribution of life saving interventions, the socio-economic impacts of road safety strategies, and the nature of community engagement in policy design and implementation. The findings point to a need for VZ practitioners to give due considerations to equity and social justice implications of VZ policies and strategies. Among others, it supports the need for understanding the nature of past equity and social justice problems in road safety and transport planning in the VZ policy design process. Moreover, the findings suggest the need for empirical studies on the socio-economic implications of VZ strategies and interventions. (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)

This paper will suggest that the work Alfred North Whitehead provides a fruitful resource for understanding the philosophical development and validity of scientific concepts through an analysis of their socio-historical location. The paper will address two key elements of Whitehead?s thought. One element is "The Bifurcation of Nature" and the paper traces the influence that this conceptual compromise has had on philosophy and science through its reinforcement of the division between the natural and the social sciences. The (...) second element is the status of abstraction in thought and existence. The article will outline Whitehead?s argument that it is necessary to pay attention to the social environment which both enables and inhibits thought if historical epistemology is to develop novel yet analytically strong concepts. (shrink)

I argue that the human sciences (i.e. humanities, social- and behavioural sciences) should not try to imitate the methodology of the natural sciences. The human sciences study meaningful phenomena whose nature is decisively different from the merely physical phenomena studied by the natural sciences, and whose study therefore require different methods; meaningful phenomena do not obviously obey natural laws while the merely physical necessarily does. This is not to say that the (...) human sciences do not study an objective reality about which we cannot have genuine knowledge. The notion of objective reality is discussed, and it is suggested that social constructions can be understood as objectively real entities. (shrink)

In recent years a growing number of philosophers in the analytic tradition have focused their attention on the significance of human sociality. An older point of departure of analysis, which actually precedes this current tide of accounts of sociality, has revolved around the debate between “holism” and “individualism” in the philosophy of the human or social sciences and social theory. The more recent point of departure for various accounts of sociality has centered on the nature of conventions, (...) social groups, shared intentions, or collective intentionality. Putting aside the disagreements among these accounts, they all take for granted an antecedently intelligible notion of individual agency as explanatorily primitive and seek to explain the possibility of plural or collective agency in terms of the former. By contrast, other philosophers who have worked at the intersection of analytic and "continental" philosophy have emphasized the primacy of practice as the proper starting point for philosophical reflections on the nature of human sociality. In the analytic tradition this emphasis is typically framed in terms of the possibility of rule-following, a topic put on the philosophical agenda by the later Wittgenstein. Peter Winch’s and Saul Kripke’s influential but controversial readings of Wittgenstein explicitly thematize the issue of rule-following, readings which have in turn generated critical reflection in various disciplines for which this issue is relevant. -/- I begin by briefly explicating the positions of Pettit and Brandom on the issue of rule-following (putting aside any specific differences between them for the moment). Next I connect Pettit’s and Brandom’s views on rule-following, and more generally on normativity and its necessarily social basis, with the views of Theodore Schatzki and Joseph Rouse, whose conceptions of the significance of practice and its inherent sociality are indebted as much to the early Heidegger as well as the later Wittgenstein. I suggest that Pettit’s and Brandom’s views of the necessarily social nature of rule-following (i.e., practice) ought to acknowledge and integrate the shared insight of Schatzki and Rouse that practices are not only modes of activity, but constitute more basically the concrete setting or world within which practices qua modes of activity are intelligible (verständlich) at all. I conclude the paper by suggesting how an integrated account of the significance of the necessarily social nature of practice undermines the assumptions of those philosophers who seek to analyze human sociality solely on the basis of modes of interactions among individual agents. (shrink)

The present paper focuses on the work of Adolphe Quetelet (1796-1874), the Belgian author of the Social Physics who worked in the tradition of the French mathématique sociale, and of Otto Neurath (1882-1945), the Vienna Circle’s member who supported a “sociology within physicalism”. They shared some important philosophical and methodological positions: an empiricist approach to the social sciences, a unitary conception of the natural and the social sciences, and the appreciation of statistics as a (...) tool for investigating and also reforming society. My paper analyses these elements of continuity between the two authors, in order to highlight how an empirical-quantitative approach to society was (at least partially) inherited by Austrian sociology from an earlier French tradition. On the contrary, most German statisticians refused such an approach at the time in which social sciences were developing in Germany, and they strongly believed in an in-principle difference between natural and social sciences. From a systematic point of view, my paper devotes a special attention to the relationship between the application of statistics (praxis) and a unitary conception of the sciences (theory). Both in Quetelet’s and in Neurath’s work these two aspects support each other. Nevertheless Neurath can be said to have turned Quetelet’s reasoning upside-down: While Quetelet appealed to statistics to claim that the social sciences can reach the same objectivity and determinacy as the natural ones, Neurath referred to statistics to argue that the natural sciences – exactly like the social ones – are characterized by a certain degree of indeterminacy and underdetermination. (shrink)

The kinds of real or natural kinds that support explanation and prediction in the social sciences are difficult to identify and track because they change through time, intersect with one another, and they do not always exhibit their properties when one encounters them. As a result, conceptual practices directed at these kinds will often refer in ways that are partial, equivocal, or redundant. To improve this epistemic situation, it is important to employ open-ended classificatory concepts, to understand (...) when different research programs are tracking the same real kind, and to maintain an ongoing commitment to interact causally with real kinds to focus reference on those kinds. A tempting view of these non-idealized epistemic conditions should be avoided: that they signal an ontological structure of the social world so plentiful that it would permit ameliorated classificatory schemes to achieve their normative aims regardless of whether they defer to real-kind classificatory schemes. To ground these discussions, the essay appeals to an overlooked convergence in the systematic naturalistic frameworks of Richard Boyd and Ruth Millikan. (shrink)

Both Adam Smith's epistemology and his politics head to a stalemate. The former is under the opposing pulls of an essentialist ideal of knowledge and of a pragmatist approach to the history of science. The latter still tries to provide a foundation for a natural law, while conceiving it as non-absolute and changeable. The consequences are (i) inability to complete both the political and the epistemological works projected by Smith; (ii) decentralization of the social order, giving rise to (...) several partial orders, such as that of the market. (shrink)

In this chapter, we argue that in order to understand the interdisciplinary and transdisciplinary dialectics in sustainability science, it is useful to see sustainability science as a kind of management science, and then to highlight the hard-soft distinction in systems thinking. First, we argue that the commonly made natural-social science dichotomy is relatively unimportant and unhelpful. We then outline the differences between soft and hard systems thinking as a more relevant and helpful distinction, mainly as a difference between (...) perspectives in systemic modeling toward models. We also illustrate that the distinction is methodologically useful to advance sustainability science by enabling us (i) to suggest novel ways of using existing theoretical, experimental, and computational resources of the sciences for renewable resource management, and (ii) to disentangle disciplinary disagreements in climate science. (shrink)

Contentious debate has played out in the ‘science wars’ generally, but perhaps nowhere has the possibility and value of objectivity been more controversial than in respect to the social sciences and historiography, the writing of history. Most of the individual social sciences took shape and became academic disciplines during the 19th century, and the issue of differences between studying humankind and studying the natural world goes back at least this far as well. How should we (...) understand the relationship between the human and natural sciences? Do the human and natural science share a common methodology, or are they quite dissimilar? If the “sciences of man, of society, and the state,” as Dilthey called the social sciences, try to emulate the physical sciences in their methods, will they perhaps miss what is distinctive about human existence? These and other questions are examined in Chapter 4. (shrink)

In recent years, “Information Ethics” (IE) has come to mean different things to different researchers working in a variety of disciplines, including computer ethics, business ethics, medical ethics, computer science, the philosophy of information, social epistemology and library and information science. Using an ontocentric approach, this paper seeks to define the parameters of IE and thereby increase our understanding of the moral challenges associated with Information Communication Technologies.

This thesis defends utilitarianism: the view that as far as morality goes, one ought to choose the option which will result in the most overall well-being. Utilitarianism is widely rejected by philosophers today, largely because of a number of influential objections. In this thesis I deal with three of them. Each is found in Bernard Williams’s ‘A Critique of Utilitarianism’ (1973). The first is the Integrity Objection, an intervention that has been influential whilst being subject to a wide variety of (...) interpretations. In Chapter Two I give my interpretation of Williams’s Integrity objection; in Chapter Three I discuss one common response to it, and in Chapters Four and Five I give my own defence of utilitarianism against it. In Chapter Six I discuss a second objection: the problem of pre-emption. This problem is also found in Williams, but has received greater attention through the work of other authors in recent years. It suggests that utilitarianism is unable to deal with some of the modern world’s most pressing moral problems, and raises an internal tension between the twin utilitarian aims of making a difference and achieving the best outcomes. In Chapter Seven I discuss a third objection: that utilitarianism is insufficiently egalitarian. I find this claim to be unwarranted, in light of recent social science and philosophy. My responses to Williams’s objections draw upon resources from the socialist tradition – in particular, that tradition’s emphasis on the importance of social connections between individuals. Socialists have often been hostile to utilitarianism, in part for socialist-inflected versions of Williams’s objections. Thus, in responding to these objections I aim to demonstrate that socialist thought contains the means to defuse not only mainstream philosophy’s rejection of utilitarianism but also its own, and thus to re-open the possibilities for a productive engagement between the two traditions. (shrink)

This paper introduces a new, expanded range of relevant cognitive psychological research on collaborative recall and social memory to the philosophical debate on extended and distributed cognition. We start by examining the case for extended cognition based on the complementarity of inner and outer resources, by which neural, bodily, social, and environmental resources with disparate but complementary properties are integrated into hybrid cognitive systems, transforming or augmenting the nature of remembering or decision-making. Adams and Aizawa, noting this distinctive (...) complementarity argument, say that they agree with it completely: but they describe it as “a non-revolutionary approach” which leaves “the cognitive psychology of memory as the study of processes that take place, essentially without exception, within nervous systems.” In response, we carve out, on distinct conceptual and empirical grounds, a rich middle ground between internalist forms of cognitivism and radical anti-cognitivism. Drawing both on extended cognition literature and on Sterelny’s account of the “scaffolded mind” (this issue), we develop a multidimensional framework for understanding varying relations between agents and external resources, both technological and social. On this basis we argue that, independent of any more “revolutionary” metaphysical claims about the partial constitution of cognitive processes by external resources, a thesis of scaffolded or distributed cognition can substantially influence or transform explanatory practice in cognitive science. Critics also cite various empirical results as evidence against the idea that remembering can extend beyond skull and skin. We respond with a more principled, representative survey of the scientific psychology of memory, focussing in particular on robust recent empirical traditions for the study of collaborative recall and transactive social memory. We describe our own empirical research on socially distributed remembering, aimed at identifying conditions for mnemonic emergence in collaborative groups. Philosophical debates about extended, embedded, and distributed cognition can thus make richer, mutually beneficial contact with independently motivated research programs in the cognitive psychology of memory. (shrink)

Hume built his philosophical system with the ambition to become a Newton of human nature. His science of man is the fulfillment of this project. Hume was inspired by the Newtonian experimental empirical method excluding hypotheses, and he applied this method to moral sciences; he took those to be the basis of all other knowledge. The observation of human cognitive faculties, however, brought him to sceptical conclusions concerning the rational justification of empirical sciences. His original ambitions are thus (...) undermined and his scepticism leads to the loss of legitimacy of natural science. The core of Hume's science of man is twofold - it consists in the analysis of mind and of human social behaviour. Hume contributed to the development of psychology and helped to form social sciences as a specific research area. Following his empirical method based on observation, his science of man has rather a documentary role than any normative features. (shrink)

The main purpose of this paper is to explore Pierre Bourdieu’s conception of social science. To this end, the paper sheds light on the main epistemological presuppositions that undergird Bourdieu’s defence of reflexive sociology as a scientific endeavour. The predominant view in the literature is that, in most of his writings,Bourdieu has a tendency to embrace a positivist conception of social science. When examining Bourdieu’s conception of social science in more detail, however, it becomes clear that the (...) assumption that he remains trapped in a positivist paradigm does not do justice to the complexity of his multifaceted account of social science. In order to illustrate the complexity of Bourdieu’s conception of social science, the following analysis scrutinises ten epistemological tensions which can be found in Bourdieu’s writings on the nature of knowledge production. In view of these epistemological tensions, a more fine-grained picture emerges which demonstrates that Bourdieu invites,and indeed compels, us to reflect upon the complexity of the various tension-laden tasks posed by the pursuit of a critical social science. (shrink)

This paper analyses the relations between philosophy of information (PI), library and information science (LIS) and social epistemology (SE). In the first section, it is argued that there is a natural relation between philosophy and LIS but that SE cannot provide a satisfactory foundation for LIS. SE should rather be seen as sharing with LIS a common ground, represented by the study of information, to be investigated by a new discipline, PI. In the second section, the nature of (...) PI is outlined as the philosophical area that studies the conceptual nature of information, its dynamics and problems. In the third section, LIS is defined as a form of applied PI. The hypothesis supported is that PI should replace SE as the philosophical discipline that can best provide the conceptual foundation for LIS. In the conclusion, it is suggested that the 'identity' crisis undergone by LIS has been the natural outcome of a justified but precocious search for a philosophical counterpart that has emerged only recently: namely, PI. The development of LIS should not rely on some borrowed, pre-packaged theory. As applied PI, LIS can fruitfully contribute to the growth of basic theoretical research in PI itself and thus provide its own foundation. (shrink)