Mark Verhagen
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Welcome!

My name is Mark Verhagen. I am broadly interested in using technological advances to make the world a better place. My background is in Econometrics and Sociology and I wrote my PhD on the intersection between computational methods and social science. Academically, I am affiliated with the Leverhulme Centre for Demographic Science at Oxford University and the Centre for Information Technology Policy at Princeton University. Professionally, I work for various organisations to help them leverage data for social impact. These include governmental, non-profit and research institutions as well as commercially oriented companies. My academic work has been published in PNAS, Nature Communications, Socius, and other journals. It's been covered by outlets such as The Financial Times, The New York Times, The Economist, The BBC and others. Both my governmental as well as my academic work has been awarded various prices, including the 2021 National Academy of Sciences Cozzarelli Prize.
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Latest News

  • Media appearances Mar 4th, 2025

    Interview in NRC Handelsblad about my work on optimizing tax reform at the Dutch Ministry of Finance.

  • Awards Jan 2025

    Together with colleagues at Princeton we won first prize and the innovation award of the PreFer fertility challenge, an international competition on predicting fertility using registry data.

  • Awards Dec 2024

    Won first prize with TaxSolver in the Ministry of Finance's innovation awards for best technical innovation.

More latest news

Does Price Personalization Ethically Outperform Unitary Pricing? A Thought Experiment and a Simulation Study

Journal of Business Ethics, 2024.

Inequalities in Healthcare Use during the COVID-19 Pandemic

Nature Communications, 2024.

Incorporating Machine Learning into Sociological Model-Building

Sociological Methodology, 2024.

The rise of machine learning in the academic social sciences

AI & Society, 2024.

Nowcasting Daily Population Displacement in Ukraine through Digital Advertising Data

Population and Development Review, 2023.

A Pragmatist’s Guide to Using Prediction in the Social Sciences

Socius, 2022.

Learning loss during the COVID-19 Pandemic

PNAS: Proceedings of the National Academy of Sciences, 2021.

The law of attraction: How similarity between judges and lawyers helps win cases in the Hong Kong Court of Final Appeal

International Review of Law and Economics, 2021.

Forecasting spatial, socioeconomic and demographic variation in COVID-19 health care demand in England and Wales

BMC Medicine, 2020 (w. D. Brazel, J. Beam Dowd, I. Kashnitsky and M. Mills).