[Air-L] CfP: Valuing public data book chapters

Angela Daly angelacdaly at gmail.com
Tue Mar 12 03:25:43 PDT 2024


Call for book chapter proposals: Valuing public data: data governance for
economic, environmental and social development - editors: Esperanza Miyake
(University of Strathclyde) & Angela Daly (University of Dundee)

We are looking for chapter contributions for an interdisciplinary
collection which  brings together different research and policy insights
around how public sector data can be best managed and used to ensure its
value is of public benefit from social, economic and environmental
perspectives. We have been liaising with the open access publisher,
Scottish Universities Press, and aim to submit our book proposal in
April/May.

Public sector data gathering and use for government objectives, for
research and for innovation and development are key issues for stakeholders
internationally. This is due to the richness and comprehensiveness of data
collected by the public sector, its functions to provide better government
services but also its potential value for onward and secondary uses in
research, innovation and development both within the public sector and by
the private sector, third sector and academia. Another issue too is public
authorities’ access to data held by other actors, especially in the private
sector.  These issues are highly relevant to the policy agenda in many
countries throughout the world.

We are seeking chapter proposals including but not limited to the following
topics, from different disciplinary perspectives including but not limited
to law, policy, sociology, political science, digital and internet studies,
race and gender studies concerning public sector data collection and use,
and issues relating to the ethics of big data and artificial intelligence
(AI):


   -

   inequalities and bias in public data, and how this can be reproduced
   through onwards uses;
   -

   deriving value and benefit from public data for economic, environmental
   and social developments, including frameworks and processes for doing this;
   -

   dialogue and harmonisation between different countries and regions on
   these topics;
   -

   the impact of new technologies and applications including AI/machine
   learning trained on public data.


Please send proposals of 250 words maximum for this edited collection along
with a title and very short biographies of contributors to Angela Daly (
ADaly001 at dundee.ac.uk) by 31 March 2024.


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