Ruben Ros is a computational historian and postdoctoral researcher at Utrecht University with eight years of experience applying quantitative and NLP methods to study democratic politics and the history of technocratic thought. He holds a PhD in history from Leiden University and has developed digital image and text analysis tools in ERC and national projects, blending methodological rigor with substantive inquiry into crisis and public debate. Ruben’s work spans academia and public institutions—he designs quantitative approaches for the Dutch Court of Audit and has collaborated internationally at centres like C2DH and Helsinki’s COMHIS. Known for translating historical questions into reproducible computational workflows, he brings uncommon fluency across political data, NLP, and digital humanities.
8 years of coding experience
1 year of employment as a software developer
RMA History, 8,6 (Cum Laude), RMA History, 8,6 (Cum Laude) at Universiteit Utrecht
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Ruben Ros - Postdoctoraal Onderzoeker at Universiteit Utrecht