Publisher: EASST (Total: 1 journals)   [Sort alphabetically]

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Science & Technology Studies     Open Access   (Followers: 3, SJR: 0.362, CiteScore: 1)
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Science & Technology Studies
Journal Prestige (SJR): 0.362
Citation Impact (citeScore): 1
Number of Followers: 3  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2243-4690
Published by EASST Homepage  [1 journal]
  • Editorial

    • Authors: Antti Silvast
      Pages: 2 - 3
      PubDate: 2022-12-15
      DOI: 10.23987/sts.125380
      Issue No: Vol. 35, No. 4 (2022)
  • Testing Emergent Technologies in the Arctic

    • Authors: Marianne Ryghaug, Bård Torvetjønn Haugland, Roger Andre Søraa, Tomas Moe Skjølsvold
      Pages: 4 - 21
      Abstract: There are great expectations around the future of autonomous vehicles (AVs). Such visions often picture vehicles that work everywhere without human interference. In this article we use empirical data from a pilot project taking place in the Norwegian Arctic to explore the place-specificity of such technologies. The case study is used to demonstrate how new configurations of emergent technologies are shaped by the places where the trial unfolds; and how insights produced through working on and with this site contribute to changing visions of AV technologies into questioning issues of transferability and scalability. In this way, the paper contributes to discussions of how pilot projects and testing of emergent technologies in the real world relates to the re-configuring of visions and expectations. The paper highlights how emerging technologies might transform societies, infrastructures, and vehicles towards more computerized configurations in ways that are not anticipated, discussed in public and therefore seldom governed.
      PubDate: 2022-12-15
      DOI: 10.23987/sts.101778
      Issue No: Vol. 35, No. 4 (2022)
  • Policy Concepts and Their Shadows

    • Authors: Marie Ertner, Brit Ross Winthereik
      Pages: 22 - 37
      Abstract: In this article, we explore the form of care known as ‘active ageing’ by attending to its expression in care policies and within a Danish care home. We argue that active ageing policies gain their efficacy through reference to ‘the good life’, which is something the policies frame as ensuing if the elderly take on an active lifestyle. In the care home, the concept of active ageing gains its efficacy through its relation to other concepts of care, such as ‘lazy care’. The importance of the article lies in its demonstrating the dependence of policy concepts on other concepts (established or emerging), which lie in its shadow yet do important political work. Attending to shadow concepts is useful if trying to understand the inner mechanics of popular concepts in care policy, as well as the norms and resistance to which they give rise.
      PubDate: 2022-12-15
      DOI: 10.23987/sts.111019
      Issue No: Vol. 35, No. 4 (2022)
  • Constructing ‘Doable’ Dissertations in Collaborative Research

    • Authors: Helene Sorgner
      Pages: 38 - 57
      Abstract: Many young scientists are trained in research groups, yet little is known about how individual doctoral dissertations are carved out of collaborative research projects. This question is particularly pronounced in high-energy physics, where thousands of physicists share an experiment’s apparatus, data, and the authorship of publications. Based on qualitative interviews with researchers working at CERN’s Large Hadron Collider, this paper analyses what makes a PhD dissertation ‘doable’ in this context. Describing the levels of work organisation, the challenges, and the actors involved in constructing ‘doable’ dissertations in collaborative research, I argue that doctoral dissertations are the emergent product of alignment work performed throughout the PhD. Individualisation is achieved by temporally, qualitatively and formally distinguishing dissertations from work on collective publications. I discuss how these processes shape the roles of students and advisors, and the content and value of dissertations in collaborative research.
      PubDate: 2022-12-15
      DOI: 10.23987/sts.109709
      Issue No: Vol. 35, No. 4 (2022)
  • ‘If You’re Going to Trust the Machine, Then That Trust Has Got to Be
           Based on Something’:

    • Authors: Peter Winter, Annamaria Carusi
      Pages: 58 - 77
      Abstract: The role of Artificial Intelligence (AI) in clinical decision-making raises issues of trust. One issue concerns the conditions of trusting the AI which tends to be based on validation. However, little attention has been given to how validation is formed, how comparisons come to be accepted, and how AI algorithms are trusted in decision-making. Drawing on interviews with collaborative researchers developing three AI technologies for the early diagnosis of pulmonary hypertension (PH), we show how validation of the AI is jointly produced so that trust in the algorithm is built up through the negotiation of criteria and terms of comparison during interactions. These processes build up interpretability and interrogation, and co-constitute trust in the technology. As they do so, it becomes difficult to sustain a strict distinction between artificial and human/social intelligence.
      PubDate: 2022-12-15
      DOI: 10.23987/sts.102198
      Issue No: Vol. 35, No. 4 (2022)
  • Airoldi Massimo (2022) Machine Habitus: Toward a Sociology of Algorithms

    • Authors: Malte B Rödl
      Pages: 78 - 80
      PubDate: 2022-12-15
      DOI: 10.23987/sts.120879
      Issue No: Vol. 35, No. 4 (2022)
  • Timcke Scott (2021) Algorithms and The End of Politics: The Shaping of
           Technology in 21st Century American Life

    • Authors: Katrina Matheson
      Pages: 81 - 84
      PubDate: 2022-12-15
      DOI: 10.23987/sts.117855
      Issue No: Vol. 35, No. 4 (2022)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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