Social Data Science

About us

The oxford.berlin
social data science

We are a group of Oxford and Berlin-based internet researchers with a strong focus on digital platforms. 

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Who we are

We combine academic expert knowledge, creative problem solving skills, and experience with public and private business clients.

Dr. Fabian Braesemann

Fabian is Data Scientist at the Saïd Business School and Research Associated at the Oxford Internet Institute, University of Oxford. His research focuses on data mining and the statistical analysis of large-scale online data to understand market and information dynamics in a digitally connected world.

Prof. Dr. Timm Teubner

Timm is a professor of Trust in Digital Services in the Faculty of Economics and Management at TU Berlin. He is a member of the Institute of Technology and Management, the Einstein Center Digital Future, and a fellow of the Berlin Centre for Consumer Policies.

Dr. Fabian Stephany

Fabian is a Computational Social Scientist at the Oxford Internet Institute. As an Economist and Senior Data Scientist, Fabian has been working for policy actors such as the United Nations Development Programme, the World Bank or the OECD. He researches on data science applications in sustainable development, migration, and digital skills. 

Maik Hesse

Maik is a doctoral candidate at the Chair of Trust in Digital Services in the Faculty of Economics and Management at TU Berlin. He is a Mathematician by background and holds a diploma with a minor in Business Administration from the University of Cologne and from graduate studies in the United States.

Niklas Stoehr

Niklas is a Machine Learning Engineer conducting research at the interface of machine learning, network science and computational social science. He holds a MSc in Web Science and Big Data Analytics from UCL and has gained experience at Microsoft Research Cambridge, the University of Oxford, Tsinghua University, Technical University of Berlin and the German Foreign Office.

Ole Teutloff

Ole works at the intersection of data science and policy-making. He holds a MSc in Social Data Science from the University of Oxford and studies Public Policy at the Hertie School of Governance in Berlin. His current research focuses on the implications of global online labour platforms for the future of work.

Leonie Neuhäuser

Leonie is a PhD candidate at the Hertie School Data Science Lab in Berlin. Her research in the field of complexity science focuses on network models for opinion dynamics, protest formation and technological innovation. She holds a MSc in Mathematical Modelling and Scientific Computing from the University of Oxford.

Philipp Darius

Philipp Darius is a PhD candidate at the Hertie School. His research focuses on the effects that digitalisation and social media in particular have on democratic discourse, public opinion and political campaigning. Previously, he worked in research at the Humboldt Institute for Internet and Society in Berlin and at the Latin American Social Science Institute in Buenos Aires.