Przemyslaw Grabowicz

Przemyslaw Grabowicz received his PhD in interdisciplinary physics from the Institute for Cross-Disciplinary Physics and Complex Systems (2014, cum laude) and MSc in applied physics from Warsaw University of Technology (2008, cum laude). After that, he spent five years at the Max Planck Institute for Software Systems, where he was a member of the social computing group headed by Professor Krishna P. Gummadi. 

Grabowicz's research contributes statistical methods to understand and augment fundamental social processes in systems of our information society. His research aims to design fair and representative social computing systems, such as rating systems in social media, predictive models of human decision-making, and recommender systems. Important questions concerning the design of these systems include: how to train nondiscriminatory machine learning models and how to prevent biases in social evaluations? Grabowicz studies fairness, social influence, group formation, information diffusion, and information processing using multilevel probabilistic graphical models, information theory, network science, and causal inference.

Grabowicz received a prestigious computational social science grant from the Volkswagen Foundation in 2017, the Data Challenge prize from the Waterloo Institute for Complexity & Innovation in 2013, the Jae Predoc fellowship from the Spanish National Research Council in 2009, and the M. Krol scholarship in 2004-2008 from the Warsaw University of Technology. He has served as an Area Chair for ECML-PKDD and ICWSM, on the program committees for several scientific conferences, including WWW, ICWSM, WebSci, SocInfo, IC2S2, NetSci, and as a reviewer for multiple scientific journals. He signed the Cost of Knowledge open letter in 2012.