Social Inclusion and Social-Technical Issues (SIG SI)
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Paper Type
Complete
Paper Number
1331
Description
Little attention has been paid to the research infrastructure that is tracing, tracking, monitoring and benchmarking individuals’ and groups’ performance and their implications for epistemic cultures and knowledge production. This paper discusses how the use of evaluative metrics and the dominence of data analytics can lead to platformisation of knowledge production by examining the normative view of science and epistemic cultures and the current development of research infrastructure such as vertical integration of research products. This paper argues that the dominance of commercial platformisation can decimate the negotiation powers of those who produce and review scientific outputs because researchers are acculturated to chase after funding, metrics, and data-driven economic and societal impacts. It is the objective of this paper to open up critical examination of the platformisation of knowledge production.
Recommended Citation
Ma, Lai, "When Data Replace Norms: Platformisation of Knowledge Production" (2021). AMCIS 2021 Proceedings. 7.
https://aisel.aisnet.org/amcis2021/social_inclusion/social_inclusion/7
When Data Replace Norms: Platformisation of Knowledge Production
Little attention has been paid to the research infrastructure that is tracing, tracking, monitoring and benchmarking individuals’ and groups’ performance and their implications for epistemic cultures and knowledge production. This paper discusses how the use of evaluative metrics and the dominence of data analytics can lead to platformisation of knowledge production by examining the normative view of science and epistemic cultures and the current development of research infrastructure such as vertical integration of research products. This paper argues that the dominance of commercial platformisation can decimate the negotiation powers of those who produce and review scientific outputs because researchers are acculturated to chase after funding, metrics, and data-driven economic and societal impacts. It is the objective of this paper to open up critical examination of the platformisation of knowledge production.
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