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 Mateo Sere

Mateo Sere

Visiting Fellow

International Inequalities Institute

Languages
English, French, Spanish
Key Expertise
Applied Microeconomics, Machine Learning, Economic Policy, Gender

About me

Mateo is an economist currently working as a postdoctoral researcher at University College London (UCL). He is also a Ph.D. candidate in Economics and Social Sciences at the University of Antwerp in Belgium, where he earned his Master's Degree in Applied Economics. Additionally, he holds a Master's in Research in Economics from Université Libre de Bruxelles. 

His research interests lie in the fields of applied microeconomics with a focus on artificial intelligence, economic policy, and measurement of well-being. Mateo employs computational and statistical methods to analyze complex social and economic issues. His recent projects include studying gender disparities in academia using machine learning, analyzing CO2 emissions from academic activities to inform policy on emissions reduction, and exploring the cultural impacts of social movements through text analysis. At UCL, he works on a project that integrates high dimensional data from different data sources to examine the effects of within-firm diversity on innovation and productivity.

Expertise Details

Applied Microeconomics; Machine Learning; Economic Policy; Gender Disparities; Environmental Policy

Recent Publications

  • Trevisan, F., Vaughan, M. & Vromen, A. (2025). Story Tech: Power, Storytelling, and Social Change Advocacy. University of Michigan Press. 
  • Vaughan, M. & Schieferdecker, D. (2025), 'Seeing a New Type of Economic Inequality Discourse: Inequality as Spectacle in the “Billionaire Space Race”', International Journal of Communication, 19 (1), 348-369 
  • Vaughan, M., & Kerr, S. (2025). Visual representations of wealth inequality in political communication. Visual Communication.
  • Vaughan, M., Gruber, J. B., & Langer, A. I. (2025). The tension between connective action and platformisation: Disconnected action in the GameStop short squeeze. New Media & Society, 27(2), 632-654.