Ex Libris: Books, creativity and academic freedom

Abstract In this commentary I build on my earlier contribution to Area and engage with a series of responses as part of an emerging debate on the future of academic books. Although the deficiencies in UKRI's approach culminated in the suspension of an open access mandate for books to be submitted to the 2029 REF (Research Excellence Framework), the pressure to extend a science‐based publishing model to the social sciences and humanities remains intense. I argue that the imposition of an open access policy for books will restrict academic freedom, threaten independent publishers, exacerbate existing inequalities in access to research funding, disrupt career development for early‐career researchers, and facilitate the economic exploitation of intellectual labour for the development of AI systems.

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Publication Details

Journal
Area
Published
2025-04-04
DOI
https://doi.org/10.1111/area.70013
Primary Topic
Academic Publishing and Open Access
Type
article
Field-Weighted Citation Impact
0.00
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article

Ex Libris: Books, creativity and academic freedom

Matthew Gandy
Area
Academic Publishing and Open Access
article

Ex Libris: Books, creativity and academic freedom

Matthew Gandy
article en

Abstract

Abstract In this commentary I build on my earlier contribution to Area and engage with a series of responses as part of an emerging debate on the future of academic books. Although the deficiencies in UKRI's approach culminated in the suspension of an open access mandate for books to be submitted to the 2029 REF (Research Excellence Framework), the pressure to extend a science‐based publishing model to the social sciences and humanities remains intense. I argue that the imposition of an open access policy for books will restrict academic freedom, threaten independent publishers, exacerbate existing inequalities in access to research funding, disrupt career development for early‐career researchers, and facilitate the economic exploitation of intellectual labour for the development of AI systems.

AreaVol. 57(3)
University of Cambridge (GB)
Openalex Percentile: Top 93%
Academic Publishing and Open Access
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