I am fascinated by questions at the interface of Graph Deep Learning and Computational Social Science. My interdisciplinary research practice revolves around Conflict Networks, Online Media Bias and AI(-driven) Governance. I worked at the interface of these fields in industry (IBM AI Core, Microsoft Research, German Federal Foreign Office) and research (UCL, University of Oxford, Tsinghua University) environments.I am Virtual Academic Visitor at the Oxford Department of International Development and will join the Institute for Machine Learning at ETH Zurich as a Doctoral candidate in September.
Collaborators:RycolabOxford.BerlinComputational Biology GroupFabian FalckJiaoyan ChenChen LiBernardo GrauVolker MarklMarc BrockschmidtJan StuehmerEmine YilmazJoerg FriedrichsRoxy ZeiherLuis Sanchez...
Current Projects:Online Conflict Seismograph – Disentangling Ideological Conflict Drivers in the Online SphereThe Fear-Anger Cycle: Governmental and Populist Politics of EmotionThe CoRisk-Index: A data-mining approach to identify industry-specific risk assessments related to COVID-19 in real-timeMother Nature – AI-driven creative reproduction
Current Engagements:Organising the Oxford.Berlin Social Datathon↗ n [dot] stoehr [at] outlook [dot] com