Hi! I am Ben, a current student of statistics at Humboldt University, Berlin and Duke University. Having studied at Zeppelin University and Maastricht University before, I am a social scientist at heart who strongly believes in the necessity of openness and interdisciplinarity in research.
Currently, I have the pleasure to be working at the Policy Evaluation Lab of the Mercator Research Institute on Global Commons and Climate Change. I am also part of research groups in computational linguistics and network science. I am also always happy to collaborate - just hit me up!
Apart from academics, I have also gathered industry experience during student traineeships and internships in consulting, consumer analytics and finance.
Major Degree | MSc Statistics, ongoing
Humboldt University / Free University / Institute of Technology, Berlin | Duke University
Major Degree | BA Quantitative Social Sciences (1.1 | A+), 2018
Zeppelin University, Friedrichshafen
Minor | Corporate Management & Economics (Econometrics etc.) (1.0 | A+), 2018
Zeppelin University, Friedrichshafen
The Rank Degree Influencer Core Sampler (RaDICeS) allows to draw an effective sample of a (language-based) Twittersphere as described in this talk. It is also part of a forthcoming publication. Until then, you can cite the software itself.
The affprop package is an Affinity Propagation Clustering (Frey and Dueck, 2007) implementation for Python. This package was part of a project of Cliburn Chan’s STA663 Statistical Computation class at Duke University.
trollR is an R package and tool to detect toxic language. It scored second place at the LSE Computational Social Sciences Hackathon ‘18.