Gina Neff presents DIGIT Lab’s May seminar
In this DIGIT Lab seminar, Professor Gina Neff shares an insight into her latest upcoming book: How Do Industries Change.
Professor Neff’s award-winning research allows her to map technological transformation through three mechanisms: futuring, negotiating shared practices, and rewriting institutions. Gina’s perspective brings agency and work back to stories of disruption.
Gina Neff is the Executive Director of the Minderoo Centre for Technology & Democracy at the University of Cambridge and Professor of Technology & Society at the University of Oxford. Her books include Venture Labor (MIT Press 2012), Self-Tracking (MIT Press 2016) and Human-Centered Data Science (MIT Press 2022).
Her research focuses on the effects of the rapid expansion of our digital information environment on workers and workplaces and in our everyday lives. Professor Neff holds a Ph.D. in sociology from Columbia University and advises international organisations including UNESCO, the OECD and the Women’s Forum for the Economy and Society. She chairs the International Scientific Committee of the UK’s Trusted Autonomous Systems programme and is a member of the Strategic Advisory Network for the UK’s Economic and Social Research Council.
Her academic research has won both engineering and social sciences awards. She also led the team that won the 2021 Webby for the best educational website on the Internet, for the A to Z of AI, which has reached over a million people in 17 different languages.
Further information
DIGIT Lab aims to ensure all attendees have equal access to our seminars. If you have any accessibility needs please specify your needs to a member of the DIGIT Lab team by Wednesday 15 June, by emailing digitlab-admin@exeter.ac.uk. DIGIT Lab has a Network Carers Fund that attendees can apply for to cover caring costs incurred through attendance our event outside of normal working hours. If you wish to find out more or to apply please contact DIGIT Lab’s centre manager Fran Lumbers f.lumbers@exeter.ac.uk
This work is supported by the UK Engineering and Physical Sciences Research Council (EPSRC) grant EP/T022566/1 for the University of Exeter’s Digital Economy Next Stage Centre, DIGIT Lab
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