Switch to: References

Add citations

You must login to add citations.
  1. Algorithms as organizational figuration: The sociotechnical arrangements of a fintech start-up.Sine N. Just, Ib T. Gulbrandsen & Sara Dahlman - 2021 - Big Data and Society 8 (1).
    Building on critical approaches that understand algorithms in terms of communication, culture and organization, this paper offers the supplementary conceptualization of algorithms as organizational figuration, defined as material and meaningful sociotechnical arrangements that develop in spatiotemporal processes and are shaped by multiple enactments of affordance–agency relations. We develop this conceptualization through a case study of a Danish fintech start-up that uses machine learning to create opportunities for sustainable pensions investments. By way of ethnographic and literary methodology, we provide an in-depth (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • The gates to the profession are open: the alternative institutionalization of data science.Netta Avnoon - 2024 - Theory and Society 53 (2):239-271.
    In this study, I examine the institutional model of data science as a nascent profession undergoing an occupational founding phase. Drawing on interviews with sixty data scientists, senior managers, and professors from Israel as well as observations at the local professional community’s events, I argue that data scientists endorse an open institutional model, upholding largely internet-based institutions focusing on knowledge sharing, networking, and collaboration. This model grants data scientists expertise, autonomy, and authority vis-à-vis clients, employers, and states; provides them with (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Challenges as catalysts: how Waymo’s Open Dataset Challenges shape AI development.Sam Hind, Fernando N. van der Vlist & Max Kanderske - forthcoming - AI and Society:1-17.
    Artificial intelligence (AI) and machine learning (ML) are becoming increasingly significant areas of research for scholars in science and technology studies (STS) and media studies. In March 2020, Waymo, Google/Alphabet’s autonomous vehicle project, introduced the ‘Open Dataset Virtual Challenge’, an annual competition leveraging their Waymo Open Dataset. This freely accessible dataset comprises annotated autonomous vehicle data from their own Waymo vehicles. Yearly, Waymo has continued to host iterations of this challenge, inviting teams of computer scientists to tackle evolving machine learning (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • Algorithms as folding: Reframing the analytical focus.Robin Williams, Claes-Fredrik Helgesson, Lukas Engelmann, Jeffrey Christensen, Jess Bier & Francis Lee - 2019 - Big Data and Society 6 (2).
    This article proposes an analytical approach to algorithms that stresses operations of folding. The aim of this approach is to broaden the common analytical focus on algorithms as biased and opaque black boxes, and to instead highlight the many relations that algorithms are interwoven with. Our proposed approach thus highlights how algorithms fold heterogeneous things: data, methods and objects with multiple ethical and political effects. We exemplify the utility of our approach by proposing three specific operations of folding—proximation, universalisation and (...)
    Download  
     
    Export citation  
     
    Bookmark   4 citations