Przemyslaw Grabowicz

Przemyslaw Grabowicz is an Assistant Professor of Computer Science at University College Dublin and an Adjunct Professor at the University of Massachusetts Amherst. He leads the SIMS (Socially Intelligent Media and Systems) Lab and the EQUATE initiative, and is actively involved in the Knowledge Discovery Lab (KDL). His work bridges computer science, social science, and public policy, focusing on responsible AI and digital society.

Research Interests:

• Fair and Explainable Machine Learning
• Computational Social Science
• Social Media and Network Science
• Public Opinion Modeling
• Algorithmic Bias and Discrimination Prevention
• Open-World Learning

His research develops statistical and machine learning methods to understand and augment public opinion in digital environments, ensuring fairness, transparency, and societal benefit. He emphasizes legal compliance and ethical design in AI systems.

Recent Research Trends: His recent publications focus on social media polls, political bias, misinformation, and fairness in machine learning. He investigates how algorithmic systems shape public discourse, especially during elections and global crises, and develops methods to detect and mitigate bias in data and models.

Scientific Awards and Recognition:

• Best Paper Honorable Mention, ICWSM’25
• WICI Data Challenge Main Prize (2013)
• Arnold O. Beckman Research Award
• Multiple UMass Amherst Interdisciplinary Research Grants
• Volkswagen Foundation Grants (over €900k total)

Advising and Grants: Dr. Grabowicz supervises several PhD students in the SIMS and KDL labs and collaborates with MS students. He has secured significant funding from the Volkswagen Foundation, UMass Amherst, and the University of Illinois, supporting research on political misinformation, media bias, and global agenda setting. He is currently recruiting a postdoc at UCD.

Labs and Initiatives: He heads the SIMS Lab and the EQUATE initiative, and contributes to the KDL. His project socialpolls.org explores public opinion through social media, and he maintains an active presence through the Uncommon Good blog on responsible AI.