scholarly journals Monitoring Technoscientific Issues in the News

Author(s):  
Alberto Cammozzo ◽  
Emanuele Di Buccio ◽  
Federico Neresini

AbstractResearch at the intersection between Science and Technology Studies (STS) and Public Communication of Science and Technology (PCST) investigates the role of science in society and how it is publicly perceived. An increasing attention has been paid to coverage of Science and Technology (S&T) issues in newspapers. Because of the availability of a huge amount of digitized news contents, the variety of the issues and their dynamic nature, new opportunities are offered to carry out STS and PCST investigations. The main contribution of this paper is a methodology and a system called TIPS that was co-shaped by sociologists and computer scientists in order to monitor the coverage of S&T issues in the news and to study how they are represented. The methodology relies on machine learning, information retrieval and data analytics approaches which aim at supporting expert users, e.g. sociologists, in the investigation of their research hypotheses.

2021 ◽  
Vol 43 (2) ◽  
pp. 395-411
Author(s):  
Steve Fuller

Abstract William Lynch has provided an informed and probing critique of my embrace of the post-truth condition, which he understands correctly as an extension of the normative project of social epistemology. This article roughly tracks the order of Lynch’s paper, beginning with the vexed role of the ‘normative’ in Science and Technology Studies, which originally triggered my version of social epistemology 35 years ago and has been guided by the field’s ‘symmetry principle’. Here the pejorative use of ‘populism’ to mean democracy is highlighted as a failure of symmetry. Finally, after rejecting Lynch’s appeal to a hybrid Marxian–Darwinism, Carl Schmitt and Thomas Hobbes are contrasted en route to what I have called ‘quantum epistemology’.


2016 ◽  
Vol 2 ◽  
pp. 193 ◽  
Author(s):  
Amit Prasad

Science and Technology Studies (STS) by the very act of showing the multiplicity, contingency, and context-dependence of scientific knowledge and practice, provincialized modern science. Postcolonial interventions within STS have pursued this goal even further. Nevertheless, Euro/West-centrism continues to inflect not only scientific practices and lay imaginaries, but also sociological and historical analyses of sciences. In this article, drawing on my own training within STS – first under J.P.S. Uberoi, who was concerned with structuralist analysis of modernity and science, and thereafter under Andy Pickering, when we focused on material agency and temporal emergence and extensively engaged with Actor Network Theory - I emphasize the continuing role of Euro/West-centric discourses in defining the “self” and the “other” and in impacting epistemological and ontological interventions. More broadly, building on a concept of Michael Lynch’s, I call for excavation and analysis of discursive contextures of sciences. In the second section of the article, through a brief analysis of embryonic stem cell therapy in a clinic in Delhi, I show how with shifting transnational landscape of technoscience certain discursive contextures are being “deterritorialized” and left “stuttering.”


2018 ◽  
Vol 4 ◽  
pp. 366 ◽  
Author(s):  
Malte Ziewitz ◽  
Michael Lynch

Why would anyone still want to go to the laboratory in 2018? In this interview, Michael Lynch answers this and other questions, reflecting on his own journey in, through, and alongside the field of science and technology studies (STS). Starting from his days as a student of Harold Garfinkel’s at UCLA to more recent times as editor of Social Studies of Science, Lynch talks about the rise of origin stories in the field; the role of ethnomethodology in his thinking; the early days of laboratory studies; why “turns” and “waves” might better be called “spins”; what he learned from David Edge; why we should be skeptical of the presumption that STS enhances the democratization of science; and why it might be time to “blow up STS”––an appealing idea that Malte Ziewitz takes up in his reflection following the interview.


2022 ◽  
pp. 016224392110696
Author(s):  
Bertram Turner ◽  
Melanie G. Wiber

In introducing the contributions to this special section, we explore the links between social and juridical concepts of normativity and science and technology. We follow the Legal Pluralism challenge to the notion of state law as the sole source of normative order and point to how technological transformation creates a pluralistic legal universe that takes on new shapes under conditions of globalization. We promote a science and technology studies (STS)-inspired reworking of Legal Pluralism and suggest expanding the portfolio of legally effective regimes of ordering to include the normativity generated by materiality and technology. This normativity is amply demonstrated in the case studies included in the papers which make up this special section. We conclude that the inclusion of approaches developed in STS research helps analytically to overcome what we view as an incomplete law project, one unable to deal with the technicized lifeworlds of a global modernity. The contributions to this special section illustrate that technomaterial change cannot be understood without recognition of the role of normative impacts, and conversely, the legal pluriverse cannot be understood without recognition of the normative role of techno-material arrangements.


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.


2018 ◽  
Vol 5 (2) ◽  
pp. 205395171881819 ◽  
Author(s):  
Daniel Carter

Recent work on Big Data and analytics reveals a tension between analyzing the role of emerging objects and processes in existing systems and using those same objects and processes to create new and purposeful forms of action. While the field of science and technology studies has had considerable success in pursuing the former goal, as Halford and Savage argue, there is an ongoing need to discover or invent ways to “do Big Data analytics differently.” In this commentary, I suggest that attempts to produce new ways of working with Big Data and analytics might be hindered by how science and technology studies-influenced scholars have conceptualized assemblages. While these scholars have foregrounded objects’ relations within existing assemblages, new materialist philosophers draw attention to properties of objects that transcend those relations and might indicate opportunities for more creative or generative uses of Big Data and analytics.


2018 ◽  
Vol 30 (54) ◽  
pp. 125
Author(s):  
Juan Felipe Espinosa Cristia ◽  
Javier Hernández Aracena

The article deals with the problem of the role of ‘social’ devices at the time of producing and reproducing organizational behavior, taking the case of recruitment and selection processes in financial services organizations in Chile and the UK. Based on 42 in-depth interviews in Santiago, London and Edinburgh, and building on science and technology studies and the concept of device the article aims to understand how recruitment and election mechanisms are adopted and legitimated in organizations. Analysis suggests that recruitment and selection mechanisms connect technical and moral elements, allowing managers to deal with uncertainty and carry out organizational reproduction. However, devices in Chile and the UK differ in the modes that connect technical and moral elements.


2018 ◽  
Vol 25 (1) ◽  
pp. 381 ◽  
Author(s):  
Helene Ahlborg ◽  
Andrea J Nightingale

Power and politics have been central topics from the early days of Political Ecology. There are different and sometimes conflicting conceptualizations of power in this field that portray power alternatively as a resource, personal attribute or relation. The aim of this article is to contribute to theorizations of power by probing contesting views regarding its role in societal change and by presenting a specific conceptualization of power, one which draws on political ecology and sociotechnical approaches in science and technology studies. We review how power has been conceptualized in the political ecology field and identify three trends that shaped current discussions. We then develop our conceptual discussion and ask explicitly where power emerges in processes of resource governance projects. We identify four locations that we illustrate empirically through an example of rural electrification in Tanzania that aimed at catalyzing social and economic development by providing renewable energy-based electricity services. Our analysis supports the argument that power is relational and productive, and it draws on science and technology studies to bring to the fore the critical role of non-human elements in co-constitution of society – technology – nature. This leads us to see the exercise of power as having contradictory and ambiguous effects. We conclude that by exploring the tension between human agency and constitutive power, we keep the politics alive throughout the analysis and are able to show why intentional choices and actions really matter for how resource governance projects play out in everyday life.


Author(s):  
Maryam Gillani ◽  
Hafiz Adnan Niaz ◽  
Muhammad Tayyab

Dynamic nature of Vehicular Ad-hoc Networks (VANETs) and Wireless Sensor Networks (WSN) makes them hard to deal accordingly. For such dynamicity, Machine learning (ML) approaches are considered favourable. ML can be described as the process or method of self-learning without human intervention that can assist through various tools to deal with heterogeneous data to attain maximum benefits from the network. In this paper, a quick summary of primary ML concepts are discussed along with several algorithms based on ML for WSN and VANETs. Afterwards, ML based WSN and VANETs application, open issues, challenges of rapidly changing networks and various algorithms in relation to ML models and techniques are discussed. We have listed some of the ML techniques to take additional consideration of this emergent field. A summary is given for ML techniques application with their complexities to cover on open issues to kick start further research investigation. This paper provides excellent coverage of state-of-the-art ML applications that are being used in WSN and VANETs with their comparative analysis.


2014 ◽  
Vol 4 (3) ◽  
pp. 14-33 ◽  
Author(s):  
Vaishali Singh ◽  
Sanjay K. Dwivedi

With the huge amount of data available on web, it has turned out to be a fertile area for Question Answering (QA) research. Question answering, an instance of information retrieval research is at the cross road from several research communities such as, machine learning, statistical learning, natural language processing and pattern learning. In this paper, the authors survey the research in area of question answering with respect to different prospects of NLP, machine learning, statistical learning and pattern learning. Then they situate some of the prominent QA systems concerning these prospects and present a comparative study on the basis of question types.


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