Research Interest
- Responsible Innovation
- Work & Organisations
- Digital Technologies, Data & Society
Professor Gina Neff is the Executive Director of the Minderoo Centre for Technology & Democracy at the University of Cambridge. 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 leads strategy Responsible AI UK, a £30 million investment in ensuring the research and innovation community delivers on responsible AI. She also co-directs the ESRC’s Digital Good Network. Professor Neff serves on the board of directors for the Social Science Research Council, is a Strategic Advisory Network member of the UK’s Economic and Social Research Council, and chairs the board for the social media start up, Bright.
Her academic research has won both engineering and social sciences awards. Professor Neff 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 1 million people in 17 different languages.
Aragon, Cecilia, Shion Guha, Maria Kogan, Michael Muller and Gina Neff. 2022. Human-Centered Data Science: An Introduction. MIT Press, 2022.
https://mitpress.mit.edu/9780262543217/human-centered-data-science/
Clementine Collett, Livia Gouvea Gomes and Gina Neff. The Effects of AI on the Working Lives of Women. UNESCO Publishing, 2022.
https://unesdoc.unesco.org/ark:/48223/pf0000380861
Blake M. Dicosola III and Gina Neff. Nudging Behavior Change: Using In-Group & Out-Group Social Comparisons to Encourage Healthier Choices. CHI’22.
https://doi.org/10.1145/3491102.3502088
Freeman, Jaimie L. and Gina Neff. “The Challenge of Repurposed Technologies for Youth: Understanding the Unique Affordances of Self-Tracking Tools for Adolescents.” New Media & Society, 2021.
https://doi.org/10.1177/14614448211040266
Self-Tracking (MIT Press 2016), with Dawn Nafus
Human-Centered Data Science (MIT Press 2022), with Cecilia Aragon, Shion Guha, Marina Kogan and Michael Muller.