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.
Digital technologies are transforming our work environments and demand for skills, with creative work severely affected. This project will use unique secondary data to measure changes in the UK’s creative service sector digital skill composition.
30 January 2023
Remote work is here to stay. But while many of us could work from "anywhere", the urbanisation of digital work continues. Cities are becoming the mega-hubs for online-mediated work. But what will this change bring to our cities and the rural regions
8 December 2022
In a new contribution, OII researchers led by Dr Johann Laux show there’s a smart way to govern personalised adverts, balancing the benefits of personalisation against the risks.
7 March 2022
Climate change and global migration are at the centre of policymakers' efforts. Together with World Bank colleagues, we showcase how social data science can help policy to make more informed decisions on some of the largest challenges of our times.
16 February 2022
A team of international researchers has launched the CoRisk-Index, a new automated tool designed to measure the risk companies see in the Covid-19 pandemic.
Net New - Der Meta Podcast, 19 January 2023
In this episode, experts from business and research explain which new technologies will come our way in the next few years and how exactly we can already say today what the world of tomorrow will look like. [In German]
Heilbronner Stimme, 02 December 2022
Uniform training for employees could soon be a thing of the past, but the effort for individual training offers is still great. Representatives of the University of Oxford and TUM see opportunities for an automated process.
The Sound of Economics, 23 March 2022
The internet is changing the way we work. In this podcast, experts discuss the utilisation of online work across countries and occupations, what it means for the society, and how policymakers should better regulate it.
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.
