By Mark Graham and Fabian Ferrari
Understanding the embedded and disembedded, material and immaterial, territorialized and deterritorialized natures of digital work.
Labour
By Mark Graham and Fabian Ferrari
Understanding the embedded and disembedded, material and immaterial, territorialized and deterritorialized natures of digital work.
This project aims to reveal the determinants of success in entrepreneurship, startups and innovation ecosystems using data science and qualitative research methods.
This project seeks to apply the principles of AI for Fair Work, by using these as a benchmark for empirical on workers’ experiences of the implementation of AI systems in the workplace.
This project seeks to review the Indian government’s policies relating to AI and Work, to improve understanding of how they are/can be (re)configured to account for and address the informality that characterises Indian urban labour markets.
Cedefop’s CrowdLearn study is the first to examine skills development and skill matching practices in online platform work. It presents evidence from interviews with platform economy stakeholders, as well as crowdworkers themselves.
3 March 2025
New analysis from researchers at the Oxford Internet Institute examines how businesses in the UK are responding to the hiring gaps in AI-related recruitment, and whether skills proficiency commands a higher salary than a higher education degree.
16 January 2025
Professor Mark Graham introduces a new framework for the field of development studies to help ensure real world impact and relevance in the digital age.
30 September 2024
The Oxford Internet Institute (OII) at the University of Oxford has appointed Dr Robert Prey to the role of Associate Professor in Digital Culture.
2 July 2024
Fairwork researchers propose recommendations for the incoming government, to provide a foundation for fairer and more sustainable platform work in the UK.
Frankfurter Allgemeine Zeitung (FAZ), 25 February 2025
Artificial intelligence replaces routine tasks while simultaneously increasing the demand for complementary human skills. The positive effect clearly prevails
Frankfurter Allgemeine Zeitung (FAZ), 26 March 2025
The history of AI is shaped by impressive technological advances. However, a flexible and forward-looking labour market is needed to master this technological transformation.”
Time Magazine, 09 April 2025
But rather than enticing companies to create new jobs in the U.S., economists say, the new tariffs—bolstered by recent advancements in artificial intelligence and robotics—could instead increase incentives for companies to automate human labour.
