Claiming Universal Epistemic Authority – Relational Boundary Work and the Academic Institutionalization of Data Science

Author:

Prietl Bianca1,Raible Stefanie2

Affiliation:

1. 1 University of Basel , Center for Gender Studies , Basel

2. 2 Johannes Kepler University Linz , Institute of Sociology , Linz

Abstract

Abstract This article studies the rise of academic data science in Germany, Austria and Switzerland. By focusing on the boundary work that accompanies this development, we try to understand current transformations in knowledge production within digital academia and beyond. Drawing on qualitative interviews with data science scholars, we identify five lines of demarcation in claiming universal epistemic authority. This boundary work is characterized by multiple tensions and varies depending upon context and counterpart, making it inherently relational.

Publisher

Walter de Gruyter GmbH

Subject

Industrial and Manufacturing Engineering,Environmental Engineering

Reference39 articles.

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3. Abbott, Andrew. 1995b. Things of Boundaries. Social Research 62(4): 857–882.

4. Andrews, Leighton, Bile Benbouzid, Jeremy Brice, Lee A. Bygrave, David Demortain, Alex Griffiths, Martin Lodge, Andrea Mennicken, and Karen Yeung. 2017. Algorithmic Regulation. LSE Discussion Paper 85. London School of Economics and Political Science.

5. Bartlett, Andrew, Jamie Lewis, Luis Reyes-Galindo, and Neil Stephens. 2018. The Locus of Legitimate Interpretation in Big Data Sciences: Lessons for Computational Social Science from -omic Biology and High-Energy Physics. Big Data & Society 5(1): 1–15.

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