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Journal article

Time frames: crisis expertise and rapid response mechanisms

Abstract:

Experts step into global governance most prominently in times of crisis. But if crisis governance at international organizations (IOs) involves the construction of specific temporal horizons, how do these horizons affect the constitution of expert authority? This article argues that expertise produced under such conditions—to meet a demand for “timely” knowledge—differs substantively from other kinds of expertise. Crisis governance thus contributes in notable ways to the pluralisation of expertise. The article examines this phenomenon in the case of the relatively recent proliferation of rapid response mechanisms (RRMs). By examining the making and implementation of RRMs at two major IOs—the World Health Organisation and the World Food Programme—the article offers a new understanding how RRMs have become part of institutional repertoires of expertise. Based on this, it contends that RRM-based timeliness claims shift expert knowledge production from credentialed individuals to infrastructures and standardised procedures; second, they prioritise large homogenous datasets over consultation and contestation among different experts; and third, they streamline expert selection such that experts are recruited from existing intra-institutional pools rather than third parties. Jointly, these shifts speed up monitoring and reaction capabilities, but also risk eroding important checks on expert overconfidence.

Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1017/S0260210526101727

Authors

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Institution:
University of Oxford
Division:
SSD
Department:
Politics & Int Relations
Role:
Author
ORCID:
0000-0002-3662-5956


Publisher:
Cambridge University Press
Journal:
Review of International Studies More from this journal
Publication date:
2026-01-29
Acceptance date:
2025-12-18
DOI:
EISSN:
1469-9044
ISSN:
0260-2105


Language:
English
Keywords:
Pubs id:
2358180
Local pid:
pubs:2358180
Deposit date:
2026-01-13
ARK identifier:

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