scholarly journals Introduction

2018 ◽  
Vol 238 (3-4) ◽  
pp. 183-187
Author(s):  
Harry J. Paarsch ◽  
Karl Schmedders

Abstract By making gathering large samples of data (Big Data) almost trivial, the Information Revolution has changed fundamentally how many scientists now conduct empirical research. The explosion in the variety and volume of information that is Big Data has in many cases altered both the questions asked and how those questions are answered. In this special issue devoted to Big Data, we have collected five papers from the social sciences, particularly economics, but business as well. The main goal of the issue is to introduce economists to the different ways that Big Data can and have been used in business and economic research, in the hope that this will spur additional innovative research in those fields.

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.


2020 ◽  
Vol 65 (1) ◽  
pp. 5-42 ◽  
Author(s):  
Corina Doboş

AbstractBy exploring the professional trajectory of sociologist Gheorghe (George) Retegan (1916–1998), this article addresses the epistemological and personal reconfigurations of the field of social sciences in post-war Romania, highlighting the complex relations and professional rivalries in the field after the Second World War, and their consequences for social knowledge. My study explores Retegan’s published and unpublished works, archival documents, and an interview that Z. Rostás conducted with Retegan in the 1990s. I analyse three research ventures relevant for understanding Retegan’s professional trajectory and methodological choices: the 1948–1950 family budget research that Retegan coordinated at the Central Institute for Statistics; the 1957–1959 monographic research he coordinated at the Institute for Economic Research; and his “farewell” to sociology and specialization in demography beginning in the 1960s. My article documents Retegan’s remarkable capacity to develop research by way of formulating new questions, methodologies, and techniques, on the basis of the main elements of empirical research he learned during his training in sociology under the supervision of Anton Golopenția. Retegan’s contributions to the field of empirical social research suggest how a context that was generally unfavourable for the development of social sciences (1948–1965) could be used in a creative way for the study of the social world. Epistemologically, the survival and even innovation of empirical research under unfavourable ideological and political conditions made possible the rehabilitation of sociology as a discipline in the much more favourable context of the second half of the 1960s.


2021 ◽  
Vol 10 (2) ◽  
pp. 36
Author(s):  
Michael Weinhardt

While big data (BD) has been around for a while now, the social sciences have been comparatively cautious in its adoption for research purposes. This article briefly discusses the scope and variety of BD, and its research potential and ethical implications for the social sciences and sociology, which derive from these characteristics. For example, BD allows for the analysis of actual (online) behavior and the analysis of networks on a grand scale. The sheer volume and variety of data allow for the detection of rare patterns and behaviors that would otherwise go unnoticed. However, there are also a range of ethical issues of BD that need consideration. These entail, amongst others, the imperative for documentation and dissemination of methods, data, and results, the problems of anonymization and re-identification, and the questions surrounding the ability of stakeholders in big data research and institutionalized bodies to handle ethical issues. There are also grave risks involved in the (mis)use of BD, as it holds great value for companies, criminals, and state actors alike. The article concludes that BD holds great potential for the social sciences, but that there are still a range of practical and ethical issues that need addressing.


2016 ◽  
Vol 25 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Máiréad Nic Craith ◽  
Laurent Sebastian Fournier

This special issue on anthropology and literature invited proposals for original contributions focusing on relationships between anthropology and literature. We were especially interested in the following questions: what role does literature play in anthropology? Can literature be considered as ethnography? What are the relationships between anthropology and literature, past and present? Are anthropology and anthropological motives used in literature? We also looked for critical readings of writers as anthropologists and critical readings of anthropologists as writers. Moreover, we wanted to assess the influence of literature on the invention of traditions, rituals and cultural performances. All these different questions and topics are clearly connected with the study of literacy, illiteracy and popular culture. They also lead to questions regarding potential textual strategies for ethnography and the possibilities of bringing together the field of anthropology (more associated with the social sciences) and literary studies (traditionally part of the humanities).


Transfers ◽  
2015 ◽  
Vol 5 (3) ◽  
pp. 41-48 ◽  
Author(s):  
Georgine Clarsen

Transfers seeks to broaden the geographical, empirical, and theoretical reach of mobilities scholarship. Our editorial team especially aims to foster innovative research from new locales that moves our field beyond the social sciences where the “new mobilities paradigm” was first articulated. Th is journal is part of a growing intellectual project that brings together theoretical developments and research agendas in the humanities and the social sciences. Our ambition is to bring critical mobilities frameworks into closer conversation with the humanities by encouraging empirical collaborations and conceptual transfers across diverse disciplinary fields. Th e articles presented in this special section forward those aims in several ways.


Author(s):  
Alex Galeno ◽  
Fagner Torres de França

The article intends to revisit the contribution of the french thinker Edgar Morin (1921-) to the construction of a plural and open method of research in Social Sciences. We will have as theoretical-epistemological basis the sociology of the present, an approach of social phenomena developed by the author during three decades, from the 1940s to the 1970s, constituting the matrix of complex thinking. The present work defends the idea that the central categories of the present sociology, such as phenomenon, crisis and event, as well as the so-called living method of empirical research are still fundamental today in the sense of proposing an opening of the social sciences to phenomena increasingly more complex and multidimensional. This presupposes the researcher's subjective and objective engagement, narrative ability, and sensitivity to grasp revealing detail.


2021 ◽  
Author(s):  
Kristia M. Pavlakos

Big Data1is a phenomenon that has been increasingly studied in the academy in recent years, especially in technological and scientific contexts. However, it is still a relatively new field of academic study; because it has been previously considered in mainly technological contexts, more attention needs to be drawn to the contributions made in Big Data scholarship in the social sciences by scholars like Omar Tene and Jules Polonetsky, Bart Custers, Kate Crawford, Nick Couldry, and Jose van Dijk. The purpose of this Major Research Paper is to gain insight into the issues surrounding privacy and user rights, roles, and commodification in relation to Big Data in a social sciences context. The term “Big Data” describes the collection, aggregation, and analysis of large data sets. While corporations are usually responsible for the analysis and dissemination of the data, most of this data is user generated, and there must be considerations regarding the user’s rights and roles. In this paper, I raise three main issues that shape the discussion: how users can be more active agents in data ownership, how consent measures can be made to actively reflect user interests instead of focusing on benefitting corporations, and how user agency can be preserved. Through an analysis of social sciences scholarly literature on Big Data, privacy, and user commodification, I wish to determine how these concepts are being discussed, where there have been advancements in privacy regulation and the prevention of user commodification, and where there is a need to improve these measures. In doing this, I hope to discover a way to better facilitate the relationship between data collectors and analysts, and user-generators. 1 While there is no definitive resolution as to whether or not to capitalize the term “Big Data”, in capitalizing it I chose to conform with such authors as boyd and Crawford (2012), Couldry and Turow (2014), and Dalton and Thatcher (2015), who do so in the scholarly literature.


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