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Dr Fabian Braesemann

Departmental Research Lecturer

Dr Fabian Braesemann

Departmental Research Lecturer


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

Fabian’s research focuses on the Science of Success. He uses data science methods to quantify the determinants of success in different fields:

1. The Science of Success in Business – can we predict the success of startup companies? Can we uncover universal patterns that are associated with success?

2. Success and the Future of Work: who will benefit from the trend towards remote and platform-mediated work, what is the future of the workplace, which technologies will succeed in times of rapid technological development?

3. Quantifying success online and offline: what are the determinants of online success, and can one influence it? Which regions benefit from the digital economy and why? What are the determinants of urban change, and how can cities benefit from it?

Before Fabian started to work as 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 courses ‘Social Network Analysis and Interpretation’, and ‘Introduction to Statistics’ 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).

Research Interests

Science of Success, Quantifying success, Complex Systems, Network Science, Social data science, Future of work, Digital economy, Startups.

Positions at the OII

  • Departmental Research Lecturer, July 2022 -
  • Research Associate, January 2019 - July 2022
  • Data Scientist, March 2017 - January 2019




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Current Courses

Social Network Analysis and Interpretation

An introduction to the analysis of online social networks, providing students with the tools necessary to undertake research on online networks, and to give an overview of the type of questions that these data can answer.

Digital Social Research: Statistics Core

This course introduces students to statistics for the social sciences, with an emphasis on application to research on the Internet and society.