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.
We use necessary cookies to make our site work. We'd also like to set analytics cookies that help us make improvements by measuring how you use the site. These will be set only if you accept.
▼
Strictly Necessary Cookies
Necessary cookies enable core functionality such as security, network management, and accessibility. You may disable these by changing your browser settings, but this may affect how the website functions.
▼
Analytics Cookies
Google Analytics
We'd like to set Google Analytics cookies to help us improve our website by collecting and reporting information on how you use it. The cookies collect information in a way that does not directly identify anyone. For more information on how these cookies work please see our Privacy Notice.
