Pablo Aragón is a research scientist and adjunct professor based in Barcelona with a decade of experience at the intersection of computational social science, civic tech, and social computing. At the Wikimedia Foundation he researches transparent, privacy-aware methods to empower millions of contributors and readers, while teaching web intelligence and network analysis at Universitat Pompeu Fabra and ELISAVA. His work blends AI, network science and participatory design to study deliberation and collective action on online platforms, with practical involvement in projects like Decidim and city-scale civic labs. Trained as a computer scientist with a PhD in ICT, he pairs rigorous academic methods with hands-on data engineering from earlier roles building large-scale crawlers and analytics systems. An under-the-radar strength is his sustained commitment to open collaboration across research, teaching and municipal deployments, translating theory into civic impact.
10 years of coding experience
11 years of employment as a software developer
Bachelor and Master of Science (BSc+MSc), Computer Science & Engineering, Bachelor and Master of Science (BSc+MSc), Computer Science & Engineering at Universidad de Zaragoza
Exchange Student Program (Erasmus), Computer Science, Exchange Student Program (Erasmus), Computer Science at Luleå tekniska universitet
Master of Science (MSc), Artificial Intelligence, Master of Science (MSc), Artificial Intelligence at Universidad Nacional de Educación a Distancia - U.N.E.D.
Doctor of Philosophy (PhD), Information and Communication Technologies, Doctor of Philosophy (PhD), Information and Communication Technologies at Universitat Pompeu Fabra
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