Power without Knowledge

Author(s):  
Jeffrey Friedman

Technocrats claim to know how to solve the social and economic problems of complex modern societies. But this would require predicting how people will act once technocrats impose their policy solutions. Power Without Knowledge argues that people’s ideas, w hich govern their deliberate actions, are too heterogeneous for their behavior to be reliably predicted. Thus, a technocracy of social-scientific experts cannot be expected to accomplish its objectives. The author also shows that a large part of contemporary mass politics, even populist mass politics, is technocratic, as members of the general public often assume that they are competent to decide which policies or politicians will be able to solve social and economic problems. How, then, do “citizen-technocrats” make these decisions? Drawing on political psychology and survey research, the author contends that people often assume that the solutions to social problems are self-evident, such that politics becomes a matter of vetting public officials for their good intentions and strong wills, not their knowledge. Turning to the more conventional meaning of technocracy, the author argues that social scientists, too, drastically oversimplify technocratic realities, but in an entirely different manner. Neoclassical economists, for example, theorize that people respond rationally to the incentives they face. This theory is simplistic, but it creates the appearance that people’s behavior is predictable. Without such oversimplifications, the author argues, technocracy would be seen by technocrats themselves to be chimerical.

2019 ◽  
Vol 6 (1) ◽  
pp. 205395171882381 ◽  
Author(s):  
Lucy Resnyansky

This paper aims to contribute to the development of tools to support an analysis of Big Data as manifestations of social processes and human behaviour. Such a task demands both an understanding of the epistemological challenge posed by the Big Data phenomenon and a critical assessment of the offers and promises coming from the area of Big Data analytics. This paper draws upon the critical social and data scientists’ view on Big Data as an epistemological challenge that stems not only from the sheer volume of digital data but, predominantly, from the proliferation of the narrow-technological and the positivist views on data. Adoption of the social-scientific epistemological stance presupposes that digital data was conceptualised as manifestations of the social. In order to answer the epistemological challenge, social scientists need to extend the repertoire of social scientific theories and conceptual frameworks that may inform the analysis of the social in the age of Big Data. However, an ‘epistemological revolution’ discourse on Big Data may hinder the integration of the social scientific knowledge into the Big Data analytics.


2017 ◽  
Vol 49 (3) ◽  
pp. 395-415
Author(s):  
Dunya D. Cakir

AbstractExamining the writings of prominent Islamist women intellectuals in Turkey, including Fatma Barbarosoğlu, Cihan Aktaş, Yıldız Ramazanoğlu, and Nazife Şişman, this article explores the repercussions of their intellectual activism for how scholars understand and study piety politics. These Islamist women intellectuals, whose discourse and subjectivities have been translated into analytical categories by scholars of piety politics, contest the terms of their encounters with academics and, more broadly, the conversion of Muslim women into objects of research. Their writings shed light on the complex interpretative interplay between academic and lay discourse when the objects of scholarly study speak back to social scientists. I argue that these kinds of critical engagements between Islamist women intellectuals and social scientific discourses attest to the mobility and circularity of social scientific categories, which have infused and reconstituted Islamist debates in Turkey. Rather than uncritically endorse or dispute these intellectuals’ interpretations of social scientific accounts, I leverage their claims to underscore the social life of academic discourse and to promote an enriched vision of piety politics and reflexive methodology.


1999 ◽  
Vol 9 (1) ◽  
pp. 127-155 ◽  
Author(s):  
Cristina Bicchieri ◽  
Yoshitaka Fukui

Norms of discrimination against women and blacks, norms of revenge still alive in some Mediterranean countries, and norms that everybody dislikes and tries to circumvent, such as the invisible norms of reciprocity that hold among the Iks studied by Turnbull, are all examples of unpopular and inefficient norms that often persist in spite of their being disliked as well as being obviously inefficient from a social or economic viewpoint. The world of business is not immune to this problem. In all those countries in which corruption is endemic, bribing public officials to get lucrative contracts is the norm, but it is often true that such a norm is disliked by many, and that it may lead to highly inefficient social outcomes (Bicchieri and Rovelli 1995).From a functionalist viewpoint such norms are anomalous, since they do not seem to fulfill any beneficial role for society at large or even for the social groups involved in sustaining the norm. In many cases it would be possible to gain in efficiency by eliminating, say, norms of racial discrimination, in that it would be possible to increase the well-being of a racial minority without harming the rest of society. To social scientists who equate persistence with efficiency, the permanence of inefficient norms thus presents an anomaly. They rest their case on two claims: when a norm is inefficient, sooner or later this fact will become evident. And evidence of inefficiency will induce quick changes in the individual choices that sustain the norm. That is, no opportunity for social improvement remains unexploited for long. Unfortunately, all too often this is not the case, and this is not because people mistakenly believe inefficient norms to be good or efficient.


2020 ◽  
Author(s):  
Alice O'Connor

This paper discusses the role of social scientific expertise in the emergence of poverty as a problem and a priority for public intervention in the United States during the 1960s. That the social scientific experts defined “the poverty problem” narrowly, as a problem of individuals lacking income or otherwise caught in a “cycle of poverty,” can be understood in terms of a series of historical transformations that played out in overlapping processes of disembedding: of social science from social reform; of economic from social and political knowledge; and of poverty from the study of structured patterns and experiences of stratification and inequality. The structurally disembedded, individualized concept of poverty that emerged from these transformations presented Great Society liberal reformers with a legible problem that they could fix without recourse to major reforms. It would eventually be recast by neoliberal reformers to justify a more ideological form of disembedding that shifted the boundaries of responsibility for dealing with poverty from the social and the public to the individual and personal.


2020 ◽  
Vol 14 (3) ◽  
pp. 349-374
Author(s):  
F. LeRon Shults

This article explores some of the ways in which the conceptual apparatus of A Thousand Plateaus, and especially its machinic metaphysics, can be connected to recent developments in computer modelling and social simulation, which provide new tools for thinking that are becoming increasingly popular among philosophers and social scientists. Conversely, the successful deployment of these tools provides warrant for the flat ontology articulated in A Thousand Plateaus and therefore contributes to the ‘reversal of Platonism’ for which Deleuze had called in his earlier works, such as Logic of Sense. The first major section offers a brief exposition of some key concepts in A Thousand Plateaus in order to set the stage for the second and third major sections, which argue that the fabrication of a metaphysics of immanence can be accelerated by connecting its conceptual apparatus more explicitly to insights derived from philosophical analyses of computational modelling and simulation and the social scientific use of ‘assemblage theory’. The article concludes with a summary of the argument and a brief consideration of some of the potential ethical and political implications of this interdisciplinary engagement.


Author(s):  
Alison Wylie

Feminists have two sorts of interest in the social sciences. With the advent of the second-wave women’s movement, they developed wide-ranging critiques of gender bias in the conceptual framework and methodology, as well as in the goals, institutions and practice of virtually all the social sciences; they argue that the social sciences both reflect and contribute to the sexism of the larger societies in which they are embedded. Alongside these critiques feminist practitioners have established constructive programmes of research that are intended to rectify the inadequacies of existing traditions of research and to address questions of concern to women. In this they are committed both to improving the disciplines in which they participate and to establishing a sound empirical and theoretical basis for feminist activism. This engagement of feminists with social science, as commentators and practitioners, raises a number of philosophical issues that have been addressed by feminist social scientists and philosophers. These include questions about ideals of objectivity and the role of contextual values in social scientific inquiry, the goals of feminist research, the forms of practice appropriate to these goals, and the responsibilities of feminist researchers to the subjects of inquiry and to those who may otherwise be affected by its conduct or results.


2015 ◽  
Vol 1 (4) ◽  
pp. e1400217 ◽  
Author(s):  
Lennart Olsson ◽  
Anne Jerneck ◽  
Henrik Thoren ◽  
Johannes Persson ◽  
David O’Byrne

Resilience is often promoted as a boundary concept to integrate the social and natural dimensions of sustainability. However, it is a troubled dialogue from which social scientists may feel detached. To explain this, we first scrutinize the meanings, attributes, and uses of resilience in ecology and elsewhere to construct a typology of definitions. Second, we analyze core concepts and principles in resilience theory that cause disciplinary tensions between the social and natural sciences (system ontology, system boundary, equilibria and thresholds, feedback mechanisms, self-organization, and function). Third, we provide empirical evidence of the asymmetry in the use of resilience theory in ecology and environmental sciences compared to five relevant social science disciplines. Fourth, we contrast the unification ambition in resilience theory with methodological pluralism. Throughout, we develop the argument that incommensurability and unification constrain the interdisciplinary dialogue, whereas pluralism drawing on core social scientific concepts would better facilitate integrated sustainability research.


Author(s):  
Anthony Scime ◽  
Gregg R. Murray

Social scientists address some of the most pressing issues of society such as health and wellness, government processes and citizen reactions, individual and collective knowledge, working conditions and socio-economic processes, and societal peace and violence. In an effort to understand these and many other consequential issues, social scientists invest substantial resources to collect large quantities of data, much of which are not fully explored. This chapter proffers the argument that privacy protection and responsible use are not the only ethical considerations related to data mining social data. Given (1) the substantial resources allocated and (2) the leverage these “big data” give on such weighty issues, this chapter suggests social scientists are ethically obligated to conduct comprehensive analysis of their data. Data mining techniques provide pertinent tools that are valuable for identifying attributes in large data sets that may be useful for addressing important issues in the social sciences. By using these comprehensive analytical processes, a researcher may discover a set of attributes that is useful for making behavioral predictions, validating social science theories, and creating rules for understanding behavior in social domains. Taken together, these attributes and values often present previously unknown knowledge that may have important applied and theoretical consequences for a domain, social scientific or otherwise. This chapter concludes with examples of important social problems studied using various data mining methodologies including ethical concerns.


2012 ◽  
Vol 60 (1_suppl) ◽  
pp. 166-183 ◽  
Author(s):  
Mike Michael

This paper outlines a version of ‘live sociology’ that enacts and engages with the openness and processuality of events. This is initially explored through a focus on everyday objects that, in their relationality, ‘misbehave’, potentially challenging standard sociological framings. Drawing on the work of Isabelle Stengers, it is suggested that such objects can be understood as ‘idiotic’ – possessed of an incommensurability that enables social scientists to ‘slow down’ and reflect upon ‘what is busily being done’ (not least by the social scientists themselves). This responsiveness to the idiot object is then contrasted to the proactive idiocy of Speculative Design. Here, artefacts – probes and prototypes – are designed to have oblique and ambiguous functions that allow both their users and designers to open up what is at stake in particular events. Examples taken from past and current research are used to illustrate how speculative designs can open up what ‘the neighbourhood’ and ‘energy demand reduction’ can be. The paper ends with a discussion of a possible ‘idiotic methodology’ and its implications for the conceptual and practical doings of social scientific research.


2020 ◽  
Author(s):  
Lauren D Olsen

Abstract At the turn of the 21st century, one of the ways in which the U.S. medical profession attempted to address the rampant health and healthcare disparities facing their patient populations was to pay more attention to a patient’s culture. Proving to be easier said than done, the operationalization of the social scientific concept of culture for clinical practice has been fraught with implementation difficulties—from clinician buy-in to stereotyping. I draw upon ethnographic data to detail how an interdisciplinary group of social scientists and clinicians work to translate a theoretically-complex, reflexive, and social-justice-oriented conceptualization of culture into a clinical intervention tool. As opposed to previous accounts of interdisciplinary collaboration that describe social science being ignored, marginalized, or non-commodifiable, I show how this group makes the anthropological concept of culture both clinically and commercially relevant and the importance of clinicians-as-consumers in the translational process.


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