Marek Muszyński

Marek Muszyński serves as an Assistant Professor at the Computational Social Sciences Unit within the Institute of Philosophy and Sociology, Polish Academy of Sciences (IFiS PAN) in Warsaw, Poland. His expertise centers on psychometrics and survey methodology with emphasis on measurement quality and response bias mitigation in social science research.

Education:

• PhD (cum laude) in Sociology, Jagiellonian University, Kraków (2014)
• Postgraduate studies in Educational Measurement, Educational Research Institute & Jagiellonian University (2011)
• MA in Psychology, Jagiellonian University, Kraków (2011)

His research focuses on identifying and mitigating response biases—including careless responding, response styles, and social desirability—using large-scale datasets from international surveys (ESS, PISA, PIAAC, TIMSS/PIRLS). Recent work integrates computer-based paradata (log data) and machine learning techniques, including large language models, for developing advanced measurement tools in social sciences. This interdisciplinary approach bridges psychometrics, educational assessment, and computational social science methodologies.

Scientific Awards:

• Nominated for the “Polityka” weekly research prize (2023)
• Polish Prime Minister Prize for Best PhD thesis (2021)
• Prof. Jerzy Perzanowski Prize for Best MA thesis in cognitive sciences (2011)

He leads significant research initiatives including NCN-funded projects on attention checks and IEA R&D grants for AI-driven item generation in educational assessments. His collaborative work spans OECD-commissioned reports, Saudi Ministry of Education projects, and industry partnerships with Diagmatic Limited for psychoeducational diagnostics. International collaborations include research stays at DIPF | Leibniz Institute in Frankfurt under DFG sponsorship, focusing on log-data applications for response bias detection.

As core faculty in IFiS PAN's Computational Social Sciences Unit, he contributes to Poland's national research infrastructure through methodological innovations in survey design and data analysis, while maintaining active roles in international consortia including CONSIRT and IEA assessment frameworks.