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  • Commentary on Part II

  • from Part II - Rationalities, Styles and Logics
  • Edited by Fleur Johns, University of Sydney, Gavin Sullivan, University of Edinburgh, Dimitri Van Den Meerssche, Queen Mary University of London
  • Book:
    Global Governance by Data
    Published online:
    11 August 2026
    Print publication:
    19 November 2026, pp 193-200
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  • Summary

    The three chapters in this section offer critical diagnoses of how algorithms govern through their interactions with and beyond data. Each focusses on a particular technical practice of algorithmic governance, provides an account of its logics, and seeks to reveal the consequences of embedding such practices in assemblages of governance: ‘proxification’ (Phan and Wark), the ‘human in the loop’, (Goldenfein), and commercial techniques of machine learning in public administration (Yeung). In this short intervention, we offer, first, some reflections on what these papers share along three distinct axes – the analytical, the methodological, and the political – before, second, seeking sympathetically to extend them, including by identifying novel questions raised by their analyses.