scholarly journals Doing things with description: practices, politics, and the art of attentiveness

2020 ◽  
pp. 146879412097597
Author(s):  
Nicole Vitellone ◽  
Michael Mair ◽  
Ciara Kierans

In a number of linked articles and monographs over the last decade (e.g. Love, 2010, 2013, 2015, 2016, 2017), literary scholar and critic Heather Love has called for a descriptive (re)turn in the humanities, repeatedly taking up examples of descriptive methods in the social sciences as exemplifying what that (re)turn might look like and achieve. Those of us working as sociologists, anthropologists, science and technology studies scholars and researchers in allied social science fields thus find ourselves reflected back in Love’s work, encountering our own research practices in an unfamiliar light through it. In a period where our established methods and analytical priorities are subject to challenges on many fronts from within our own disciplines, it is hard not be struck by Love’s provocative invocation of the social sciences as interlocutors and see in it an invitation to contribute to the debate she has sought to initiate by revisiting our own approaches to the problem of description. Inspired by Love’s intervention, the eight papers that form this Special Issue demonstrate that by re-engaging with description we stand to learn a great deal. While the articles themselves are topically distinct and geographically varied, they are all based on empirical research and written to facilitate a reorientation to the role of description in our research practices. What exactly is going on when we describe an ancient papyrus as present or missing, a machine as intelligent, noise as music, a disease as undiagnosable, a death as good or bad, deserved or undeserved, care as appropriate or inappropriate, policies as failing or effective? As the papers show, these are important questions to ask. By asking them, we find ourselves in positions to better understand what goes into ‘indexing and making visible forms of material and social reality’ (Love, 2013: 412) as well as what is involved, more troublingly, in erasing, making invisible and dematerialising those realities or even, indeed, in uncovering those erasures and the means by which they were effected. As this special issue underlines, thinking with Love by thinking with descriptions is a rewarding exercise precisely because it opens these matters up to view. We hope others take up Love’s invitation to re-engage with description for that very reason.

2021 ◽  
Vol 39 (1) ◽  
pp. 3-18
Author(s):  
Monika Krause

This article offers a critique of the self-observation of the social sciences practiced in the philosophy of the social sciences and the critique of epistemological orientations. This kind of reflection involves the curious construction of wholes under labels, which are the result of a process of “distillation” or “abstraction” of a “position” somewhat removed from actual research practices and from the concrete claims and findings that researchers produce, share, and debate. In this context, I call for more sociological forms of reflexivity, informed by empirical research on practices in the natural sciences and by sociomaterial approaches in science and technology studies and cultural sociology. I illustrate the use of sociological self-observation for improving sociological research with two examples: I discuss patterns in how comparisons are used in relation to how comparisons could be used, and I discuss how cases are selected in relation to how they could be selected.


2022 ◽  
pp. 11-23
Author(s):  
Emiliana Mangone

Many approaches to the study of the social sciences rely on the interpretation of reality itself, giving rise to the quantitative/qualitative dispute. These methods cannot exist one without the other – nor can they necessarily find themselves on opposite poles. To follow one does not mean to forsake the other; on the contrary, both offer the opportunity to observe from different angles aspects of the phenomenon investigated, granting more effective readings of its complexity. While sociology has reproduced its various stances in its scholarly analyses, the most recent debate has relinquished this debate to focus on two alternative features. Both pertain to sociology and the role of social science researchers: the conjugation between theory and empirics and the crisis of sociology in providing answers to societal changes. This contribution aims to address the issues related to the conjugation between theory and empirical research considering digital research methods. The author outlines their strengths and weaknesses without forgetting the original status of sociology as a science.


2010 ◽  
Vol 21 (4-5) ◽  
pp. 271-274 ◽  
Author(s):  
H. BERESTYCKI ◽  
S. D. JOHNSON ◽  
R. OCKENDON ◽  
M. PRIMICERIO

This special issue is one of the very first dedicated to crime modelling in a journal of applied mathematics. It emphasizes one of the new areas at the Social Science frontier, where modelling and mathematical tools are put to use with a view to shed light on phenomena previously thought to be outside of their reach. Pioneering research is increasingly being carried out in many different areas in the life sciences or social sciences, often under the heading of the study of complex systems. When addressing issues regarding society, individuals or the collective behaviours of humans, several questions naturally arise about the modelling enterprise. What is the nature and role of modelling in social sciences? What is one to expect from these new approaches? The case of economics, which has relied on mathematics for a very long time now, can serve as a paradigm for what is happening in other social sciences.


2021 ◽  
Vol 51 (2) ◽  
pp. 176-192
Author(s):  
Nadia Ruiz

Brian Epstein has recently argued that a thoroughly microfoundationalist approach towards economics is unconvincing for metaphysical reasons. Generally, Epstein argues that for an improvement in the methodology of social science we must adopt social ontology as the foundation of social sciences; that is, the standing microfoundationalist debate could be solved by fixing economics’ ontology. However, as I show in this paper, fixing the social ontology prior to the process of model construction is optional instead of necessary and that metaphysical-ontological commitments are often the outcome of model construction, not its starting point. By focusing on the practice of modeling in economics the paper provides a useful inroad into the debate about the role of metaphysics in the natural and social sciences more generally.


Author(s):  
Alex Rosenberg

Each of the sciences, the physical, biological, social and behavioural, have emerged from philosophy in a process that began in the time of Euclid and Plato. These sciences have left a legacy to philosophy of problems that they have been unable to deal with, either as nascent or as mature disciplines. Some of these problems are common to all sciences, some restricted to one of the four general divisions mentioned above, and some of these philosophical problems bear on only one or another of the special sciences. If the natural sciences have been of concern to philosophers longer than the social sciences, this is simply because the former are older disciplines. It is only in the last century that the social sciences have emerged as distinct subjects in their currently recognizable state. Some of the problems in the philosophy of social science are older than these disciplines, in part because these problems have their origins in nineteenth-century philosophy of history. Of course the full flowering of the philosophy of science dates from the emergence of the logical positivists in the 1920s. Although the logical positivists’ philosophy of science has often been accused of being satisfied with a one-sided diet of physics, in fact their interest in the social sciences was at least as great as their interest in physical science. Indeed, as the pre-eminent arena for the application of prescriptions drawn from the study of physics, social science always held a place of special importance for philosophers of science. Even those who reject the role of prescription from the philosophy of physics, cannot deny the relevance of epistemology and metaphysics for the social sciences. Scientific change may be the result of many factors, only some of them cognitive. However, scientific advance is driven by the interaction of data and theory. Data controls the theories we adopt and the direction in which we refine them. Theory directs and constrains both the sort of experiments that are done to collect data and the apparatus with which they are undertaken: research design is driven by theory, and so is methodological prescription. But what drives research design in disciplines that are only in their infancy, or in which for some other reason, there is a theoretical vacuum? In the absence of theory how does the scientist decide on what the discipline is trying to explain, what its standards of explanatory adequacy are, and what counts as the data that will help decide between theories? In such cases there are only two things scientists have to go on: successful theories and methods in other disciplines which are thought to be relevant to the nascent discipline, and the epistemology and metaphysics which underwrites the relevance of these theories and methods. This makes philosophy of special importance to the social sciences. The role of philosophy in guiding research in a theoretical vacuum makes the most fundamental question of the philosophy of science whether the social sciences can, do, or should employ to a greater or lesser degree the same methods as those of the natural sciences? Note that this question presupposes that we have already accurately identified the methods of natural science. If we have not yet done so, the question becomes largely academic. For many philosophers of social science the question of what the methods of natural science are was long answered by the logical positivist philosophy of physical science. And the increasing adoption of such methods by empirical, mathematical, and experimental social scientists raised a second central question for philosophers: why had these methods so apparently successful in natural science been apparently far less successful when self-consciously adapted to the research agendas of the several social sciences? One traditional answer begins with the assumption that human behaviour or action and its consequences are simply not amenable to scientific study, because they are the results of free will, or less radically, because the significant kinds or categories into which social events must be classed are unique in a way that makes non-trivial general theories about them impossible. These answers immediately raise some of the most difficult problems of metaphysics and epistemology: the nature of the mind, the thesis of determinism, and the analysis of causation. Even less radical explanations for the differences between social and natural sciences raise these fundamental questions of philosophy. Once the consensus on the adequacy of a positivist philosophy of natural science gave way in the late 1960s, these central questions of the philosophy of social science became far more difficult ones to answer. Not only was the benchmark of what counts as science lost, but the measure of progress became so obscure that it was no longer uncontroversial to claim that the social sciences’ rate of progress was any different from that of natural science.


Author(s):  
Keiki Takadama ◽  
Kiyoshi Izumi

Agent-Based Simulation (ABS), an interdisciplinary area embracing both the computer science and the social science, has attracted much attention and aided the understanding of socially complex phenomena. A current important issue in this research area is how to improve ABS effectiveness and comprehension, which makes further mutual influence between the computer science and the social sciences indispensable - e.g., (1) agent modeling involving learning mechanisms in the computer science and (2) social dynamics analysis needed in the social science. Such integration of these two areas would help fulfill the great potential of ABS, first in solving complex engineering problems using agent-based technology and second in developing and testing new theories on socially complex systems. This special issue features ABS papers from both of these important areas exploring new trends in ABS. The 10 papers composing this special issue start with papers by Nobutada Fujii and Hiroyasu Inoue analyzing the relationship between the network structure and system dynamics. In these papers, an agent-based computational economics approach has been active in applying agent-based technologies to financial and economic systems. Papers by Biliana Alexandrova-Kabadjova, Isamu Okada, TomokoOhi, and Nariaki Nishino cover consumer and financial markets using agent-based models. They test economic theory and examine market phenomena for market design. Agent-based simulation is increasingly used in application fields in the social sciences. Papers by Kiyoshi Izumi, Hideki Fujii, Hiromitsu Hattori, and Shigeo Sagai propose solutions for actual social problems such as injury prevention, traffic, and electrical power. Models are created based on behavior data, and the integration of an agent-based model and real data is a hot topic in this area. As the beginning of these technical papers, this issue starts by a position paper to give an ABS overview for understanding important issues in ABS from an overall viewpoint and for understanding state-of-the-art ABS. The information presented is invaluable in helping readers grasp the important features of ABS.


2020 ◽  
pp. 58-78
Author(s):  
Beth M. Sheppard

During a bibliometric analysis of the scholarship of ninety-five social science faculty members at the University of West Georgia (UWG), observations were made concerning potential differences between how scholarly communication is practiced by the disciplines of the social sciences and biblical studies. The fields appear to diverge on the role of book reviews, prevalence of co-authored materials, use of ORCIDs, and adoption of DOIs. In addition to highlighting these points, the data set used for the project is described. Finally, a few theological reflections are offered.


Author(s):  
Anthony Giddens

First of all, to begin with I would like to say how much I support this initiative to promote social science. This special issue of IKAT: the Indonesian Journal of Southeast Asian Studies is originated from the symposium held in September where I delivered my recorded speech through online media in September 4th, 2018. We should highlight that the social science is very crucial to understanding the contemporary world, therefore of core important to the trajectory of any country today. The social sciences were born out of transformation in the 17, 18, 19thcenturies in the west of course), firstly the origin of modern states and origin of politics, then the industrial revolutions, then the origin of economics, and in the 19thcentury, those things becoming more widespread to the world that create Sociology and Anthropology.


2003 ◽  
Vol 31 (2) ◽  
pp. 155-161
Author(s):  
Chayan Vaddhanaphuti

This paper examines social development as a process and as a historically produced discourse before and during the crisis in Southeast Asia. Using the case of Thai social science in different historical periods — from distanced social science to socially engaged social science — to illustrate its relevance to social development, this paper argues that new modes of knowing is necessary to challenge, rethink, and reconstruct the role of social science based on situated knowledge and contextualised views expressed.


Sign in / Sign up

Export Citation Format

Share Document