Nancy’s research is concerned with the role of museums in providing space for public engagement with debates and developments in AI and new technologies. Her research is generously funded by the OII Shirley Scholarship Award.
This programme supports research in the sphere of AI & Work.
This project seeks to understand the gendered experiences of UK gig workers, to explore common safety risks associated with e-hailing and delivery work, along with examining risk-mitigation tactics employed by workers in response to platform design.
This project interrogates the impact of AI on cultural heritages and the presentation of these futures through public-facing exhibition spaces. It will interrogate the agency of AI within exhibit contexts, exploring its role in creativity.
By Kelle Howson, Hannah Johnston, Nancy Salem, Robbie Warin, Fabian Ferrari, Yihan Zhu, Pablo Aguera Reneses, Funda Ustek-Spilda, Daniel Arubayi, Srujana Katta, Shelly Steward, Matthew Cole, Adam Badger, and Mark Graham
What sort of working standards do gig economy remote workers face? This Fairwork report scores 17 platforms on the conditions they offer, and highlights the failure to offer basic standards of fairness across much of the cloudwork industry.
By Funda Ustek-Spilda, Richard Heeks, Mark Graham, Alessio Bertolini, Srujana Katta, Sandra Fredman, Kelle Howson, Fabian Ferrari, Mounika Neerukonda, Pradyumna Taduri, Adam Badger, and Nancy Salem
The COVID-19 pandemic has hit precarious gig workers particularly hard. This Fairwork report considers platforms’ responses to the virus and suggests that work remains to sufficiently protect their workers.
8 June 2022
New Oxford report reveals best and worst practices in UK gig economy.
27 April 2020
A new report has shone a light on the plight of some 50 million gig economy workers across the world since the onset of the COVID-19 pandemic.
