As of March 1, 2016, Prof. Jürgen Pfeffer, Assistant Research Professor of Societal Computing at Carnegie Mellon University in Pittsburgh, USA, has been appointed Associate Professor of Computational Social Science & Big Data at the Bavarian School of Public Policy at the Technical University of Munich.
After ten years of professional experience in consulting firms and non-university research institutions, Jürgen Pfeffer studied computer science at the Vienna University of Technology, where he also obtained his doctorate in business informatics in 2010. He subsequently worked as a postdoctoral fellow at Carnegie Mellon University until he was appointed Assistant Research Professor in 2012.
His research focuses on the analysis of large and dynamic social, political and economic systems as well as the methodological, algorithmic and theoretical challenges that arise from these analyses. Pfeffer's research falls at the intersection of social and computer sciences.
2017: Pfeffer, Jürgen. “Visualization of Political Networks.” The Oxford Handbook of Political Networks. Oxford: Oxford UP.
2014: Ruths, Derek and Jürgen Pfeffer. “Social Media for Large Studies of Behavior.” Science 346 (6213): 1063-1064.
2014: Pfeffer, Jürgen, Thomas Zorbach, and Kathleen M. Carley. “Understanding Online Firestorms: Negative Word-of-Mouth Dynamics in Social Media Networks.” Journal of Marketing Communications 20 (1-2): 117-128
2013: Morstatter, Fred, Jürgen Pfeffer, Huan Liu, and Kathleen M. Carley. “Is the Sample Good Enough? Comparing Data from Twitter’s Streaming API with Twitter’s Firehose.” International Conference on Web and Social Media (ICWSM), 400-408.
2012: Hennig, Marina, Ulrik Brandes, Jürgen Pfeffer, and Ines Mergel. Studying Social Networks. A Guide to Empirical Research. Chicago: Campus Verlag/University of Chicago Press.