Dominik Schinder is a Ph.D. candidate in Applied Mathematics at Imperial College London, supervised by Professor Mauricio Barahona. Prior to the Ph.D., he received an MSc in Applied Mathematics from Imperial College and an MA in Digital Media from Goldsmiths, University of London. Drawing from Network Science and Machine Learning, he develops mathematical tools for the Computational Social Sciences. During his research stay at the Weizenbaum Institute he will use these methods to analyse the diffusion of far-right conspiracy theories across different social media platforms.
Research Group “Digitalisation and the Transnational Public Sphere“
Computational Social Science, Network Science, Machine Learning, Stochastic Processes, Software Studies
Dissertation: “Dynamical Network Analysis and Machine Learning for Computational Social Sciences”
Pre-print: Schindler, D., Clarke, J. & Barahona, M. Multiscale mobility patterns and the restriction of human mobility under lockdown. arXiv:2201.06323 [physics.soc-ph] (2022).