Przemyslaw Grabowicz

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faculty
Position: 
Research Assistant Professor (starting 10/18)

Interests

Computational social science, social computing systems, machine learning, causality, network science.

Research

Professor Grabowicz's research contributes statistical methods to understand and augment fundamental social processes in systems of our information society. The ambition of his research is to design fair and efficient social computing systems. These systems include news media, social media, search engines, recommender systems, judicial systems, and knowledge-based systems. Important questions concerning the design of these systems include: how to train non-discriminatory machine learning models and how to prevent biases in social evaluations? Professor Grabowicz studies fairness, social influence, group formation, information diffusion, and information processing using multilevel probabilistic graphical models, information theory, causal inference, network science, and multimethodology.

Biography

Ph.D., Interdisciplinary Physics, University of Balearic Islands (2014), M.Sc., Applied Physics, Warsaw University of Technology (2008). Professor Grabowicz joined the College of Information and Computer Sciences of the University of Massachusetts Amherst in Fall 2018 as a Research Assistant Professor. Prior to this, from 2013 to 2018, he was a postdoctoral researcher at the Max Planck Institute for Software Systems in Saarbruecken, Germany.

Activities & Awards

Professor Grabowicz received a computational social science grant from DFG (German Research Foundation) in 2017, the Data Challenge prize from WICI (Waterloo Institute for Complexity & Innovation) in 2013, the Jae Predoc fellowship from CSIC (Spanish National Research Council) in 2009, and the M. Krol scholarship in 2004-2008 from Warsaw University of Technology. He has served on the program committees for several scientific conferences, including WWW, WebSci, SocInfo, ASONAM, IC2S2, NetSci, and as a reviewer for many scientific journals. He has signed the Cost of Knowledge open letter in 2012.