Michael Ganslmeier and Tim Vlandas have developed a new approach to measure the fragility of findings in political science. Showing that empirical results can change substantially when researchers vary reasonable and equally defensible modelling choices, they advocate for greater use of systematic robustness checks
Assistant Professor in Computational Social Science, University of Exeter
Using computational methods including causal inference and machine learning, Michael's research explores how public policy and climate change shape societies.
He has published in leading journals including the Proceedings of the National Academy of Sciences (PNAS) and Comparative Political Studies.
His current projects investigate how pension reforms affect political behaviour, socioeconomic inequality, and health outcomes.
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