SSD 2023: Video Training for Research Impact, Academic Engagement and Science Communication


  • Oxford Internet Institute
  • University of Oxford
  • Video 4 Impact – SSD – 2023

Dr Fabian Braesemann is a Departmental Research Lecturer in AI & Work at the OII.

Fabian uses social data science methods to study the digital economy. His research focuses on three topics:

1. Future of Work: remote work, the future of the workplace, and online labour markets.

2. Digital Innovation: technological progress and the evolution of digital technologies, the geography of the knowledge economy, digital development.

3. Data Science for social good: measuring, nowcasting and predicting urban gentrification, sustainable tourism, the economic effects of Covid-19 and other social and economic phenomena with online data.

Before Fabian became a Departmental Research Lecturer at the OII, he worked as a Research Fellow & Data Scientist in the Future of Real Estate Initiative at the Saïd Business School, University of Oxford, and as a Data Scientist at the OII on projects that applied data science to understand human development and labour markets: (a) Rural Online Labour Markets, (b) Geonet, and (c) Big Data and Human Development projects.

His research has been published in leading academic journals and it was covered in national and international media. Fabian has been presenting the results and implications of his research in keynote talks at academic conferences as well as policy and industry events.

Fabian teaches the course ‘Social Network Analysis and Interpretation’ at the OII and he supervises master students in social data science.

Having worked as a data scientist in industry and academia, Fabian has investigated social processes with a multitude of different online data sets in numerous domains. These experiences make him confident about the prospects and value of social data science as a key discipline in the 21st century – in academic research as well as in policymaking and industry.

He is optimistic that the availability of large data sets and computational methods will make it possible to describe, predict and manage social phenomena with the same levels of accuracy as processes in the natural sciences.

Besides his role at Oxford University, he runs a social data startup company – DWG Datenwissenschaftliche Gesellschaft Berlin. The DWG aims to bridge academic knowledge generation and social data science innovation. The company applies data science to generate insights into the digital transformation of markets and it works mainly with the public sector and international development organisations. Overall, the DWG works toward collecting data from online sources representing different layers of economic activity in Europe in order to build an empirical foundation for evidence-based policymaking in the 21st century.

Fabian has studied economics in Berlin, Warsaw and Vienna. He holds a doctoral degree from the Vienna University of Economics and Business (2016).

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