Fabian Stephany is a Departmental Research Lecturer in AI & Work at the Oxford Internet Institute (OII), University of Oxford, a Research Affiliate at the Humboldt Institute for Internet and Society in Berlin and a Fellow at the Brussels-based Think Tank Bruegel. Leading the SkillScale Project, Fabian investigates the emergence of new skills and sustainability of novel occupations in times of technological disruption.
He is a co-creator of the Online Labour Observatory – a digital data hub, hosted by the OII and the International Labour Organisation, for researchers, policy makers, journalists, and the public interested in online platform work. His research has been published in leading academic journals and was covered by Washington Post, The New York Times, The Telegraph, The Statesman, Nikkei Asia, and other popular media around the world.
Fabian holds a PhD and degrees in Economics and Social Sciences from different European institutions, including Universitá Bocconi Milan and University of Cambridge. As an Economist and Senior Data Scientist, Fabian has been working in the private sector and for various actors in the international policy landscape, such as the United Nations Development Programme, the World Bank or the OECD in Paris.
Future of Work, Internet Economics, Network Science, Online Gig Economy, Platform Economy
This programme supports research in the sphere of AI & Work.
This project explores how the analysis of online generated labour market data can help us understand the relevance of new skills and sustainability of novel occupations.
AI technologies are increasingly being promoted to automate or augment work in the education sector. With the growth of these technologies, this project asks what tasks and skills are being affected by the adoption of AI in the education sector.
17 May 2024
Dr Gemma Newlands and Dr Fabian Stephany have been named as winners of the Achievement Award at the University of Oxford 2024 Divisional Teaching Excellence Awards.
27 February 2024
2023 was the year AI really made its mark. It's been a wild ride for everyone from office workers to big companies, with even the experts scratching their heads.
24 October 2023
Researchers at the Oxford Internet Institute, University of Oxford, and the Center for Social Data Science, University of Copenhagen, find that the economic value of a skill is determined by how well it can be combined with other worker competencies.
23 October 2023
Should we all learn how to code to prepare for an uncertain future of work? In our recent article, we show that it pays to have skills centred around Artificial Intelligence (AI).
Handelsblatt, 19 August 2024
Millions of self-proclaimed AI trainers can be found on LinkedIn. However, it's clear that not all of them offer valuable training. Here's how to identify the good ones.
Handelsblatt, 09 August 2024
Investors are starting to doubt the major AI companies.
Forbes, 20 October 2022
During the pandemic, many speculated whether we might finally be seeing the death of distance, with people choosing to work remotely from places where access to nature was more plentiful and house prices were more affordable.
This course introduces students to conceptual and methodological aspects of social science research methods, including both quantitative and qualitative methods.
This course teaches the essentials of programming in Python, using the language to access data from a diverse variety of sources on the social web, and transforming this material into datasets which are amenable to traditional social science analysis.
