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Fellows within the RPA PSI programme

Interdisciplinary DIEP fellowships

RPA PSI offers postdoctoral fellowship grants. The fellows will be engaged in emergence-related research with collaborations within the faculties and institutes: the Faculty of Science (FNWI), the Faculty of Economics and Business (FEB), the Faculty of Social and Behavioral Sciences (FMG) and the Faculty of Law (FdR) as well as the the knowledge institute Statistics Netherlands (CBS). 

CURRENT FELLOWS
Fernando Santos | PSI fellow
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Tuan Pham | PSI fellow
Tuan Pham joined DIEP as a postdoctoral fellow within the program Emergent Phenomena in Society: Polarisation, Segregation and Inequality. Prior to this, he has been working on non-equilibrium statistical physics and its application to the study of complex systems with multiple timescales, including genotype-phenotype map, biological adaptation, social dynamics and the systemic stability of ecological and financial networks. At DIEP he aims to develop mathematical and computational frameworks to understand the interplay between polarisation and segregation in the Dutch society.
Tommaso Giommoni | tenure tracker
Tommaso Giommoni has been hired within this RPA PSI as a new tenure tracker based at the Faculty of Economics and Business and is starting in September 2024. His main research interests include Public Economics, Political Economy and Public Finance, with particular focus on issues related to taxation, fiscal federalism and public corruption. Tommaso will take the lead on understanding big data sets and extracting relevant information on polarisation, segregation and inequality in Dutch society.
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Petter Tornberg | PSI fellow
Petter Tornberg is the first RPA PSI fellow who is developing a project on simulating social media using large language models to evaluate alternative news feed algorithms with collaborators Justus Uitermark, Diliara Valeeva and Christopher Bail. Petter's research is on how digital technology is reshaping our politics, media and cities. I use computational methods and digital data to examine the consequences of datafication, platformization, and AI, from a critical  perspective.
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