My interdisciplinary research practice aims at quantifying latent intensity concepts. Combining methods from Natural Language Processing, Computational Social Science and Network Science, my interests are particularly centred around numbers in text, conflict intensity and sentiment analysis. I previously worked at the interface of these fields in industry (IBM AI Core, Microsoft Research, German Federal Foreign Office) and research (University College London, University of Oxford, Tsinghua University, TU Berlin). I am a PhD student at the Institute for Machine Learning at ETH Zurich.
Current Engagements
'Monitoring Patterns of Violence' as part of the Humanitarian Action Challenge jointly with the Swiss Data Science Center and the International Committee of the Red Cross
↗ n [dot] stoehr [at] outlook [dot] com
My interdisciplinary research practice aims at quantifying latent intensity scales. Combining methods from Natural Language Processing, Computational Social Science and Network Science, my interests are particularly centred around numbers in text, conflict intensity and sentiment analysis. I previously worked at the interface of these fields in industry (IBM AI Core, Microsoft Research, German Federal Foreign Office) and research (University College London, University of Oxford, Tsinghua University, TU Berlin). I am a PhD student at the Institute for Machine Learning at ETH Zurich.
Current Engagements
'Monitoring Patterns of Violence' as part of the Humanitarian Action Challenge jointly with the Swiss Data Science Center and the International Committee of the Red Cross
↗ n [dot] stoehr [at] outlook [dot] com