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The digitalisation paradox of everyday scientific labour: How mundane knowledge work is amplified and diversified in the biosciences

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  • Ribeiro, Barbara
  • Meckin, Robert
  • Balmer, Andrew
  • Shapira, Philip

Abstract

This paper examines how automation and digitalisation influence the way everyday scientific work practices are organised and conducted. Drawing on a practice-based study of the field of synthetic biology, the paper uses ethnographic, interview and survey data to offer a sociomaterial and relational perspective of technological change. As automation and digitalisation are deployed in research settings, our results show the emergence and persistence of what we call ‘mundane knowledge work’, including practices of checking, sharing and standardising data; and preparing, repairing and supervising laboratory robots. While these are subsidiary practices that are often invisible in comparison to scientific outputs used to measure performance, we find that mundane knowledge work constitutes a fundamental part of automated and digitalised biosciences, shaping scientists' working time and responsibilities. Contrary to expectations of the removal of such work by automation and digitalisation, we show that mundane work around data and robots persists through ‘amplification’ and ‘diversification’ processes. We argue that the persistence of mundane knowledge work suggests a digitalisation paradox in the context of everyday labour: while robotics and advanced data analytics aim at simplifying work processes, they also contribute to increasing their complexity in terms of number and diversity of tasks in creative, knowledge-intensive professions.

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  • Ribeiro, Barbara & Meckin, Robert & Balmer, Andrew & Shapira, Philip, 2023. "The digitalisation paradox of everyday scientific labour: How mundane knowledge work is amplified and diversified in the biosciences," Research Policy, Elsevier, vol. 52(1).
    • Handle: RePEc:eee:respol:v:52:y:2023:i:1:s0048733322001305
    DOI: 10.1016/j.respol.2022.104607
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    2. Almeida, Derick & Naudé, Wim & Sequeira, Tiago Neves, 2024. "Artificial Intelligence and the Discovery of New Ideas: Is an Economic Growth Explosion Imminent?," IZA Discussion Papers 16766, Institute of Labor Economics (IZA).
    3. Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2024. "Is Artificial Intelligence Generating a New Paradigm? Evidence from the Emerging Phase," IZA Discussion Papers 17183, Institute of Labor Economics (IZA).

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