About me

Pablo Aragón is a research scientist at the Wikimedia Foundation, where he focuses on knowledge integrity and resilience to disinformation in Wikipedia and its sister projects. He is interested in computational social science and social computing through interdisciplinary and participatory approaches to enhance collaboration and deliberation in online platforms, including civic technologies and social media. His research has been published in top-tier conferences and journals, and featured in international media like MIT Technology Review, The Atlantic, BBC News, The Guardian, VICE Magazine and Business Insider. He is also an adjunct professor at the Department of Information and Communication Technologies at Universitat Pompeu Fabra. Pablo actively contributes to technopolitical projects and served as a foundational board member of Decidim, the free open source platform for participatory democracy.

Pablo was a doctoral researcher of the Artificial Intelligence and Machine Learning research group at Universitat Pompeu Fabra (2015-2019) and held a visiting appointment at the Oxford Internet Institute – University of Oxford (2018). He worked as a research scientist at Eurecat (2015-2021) and as a research engineer at Barcelona Media (2011-2015). These positions led him to contribute to multiple EU-funded research projects like DECODE, implementing a technopolitical framework around data commons and data sovereignty, or D-CENT, developing distributed and privacy-aware free open source tools for direct democracy. Pablo coordinated the Data Analysis for Citizen Participation project at Medialab Prado, and co-founded the Democratic Innovation Lab of Barcelona City Council and the DatAnalysis15M research network. Prior to his research career, he worked as a data engineer at a social media monitoring startup.

Pablo holds a PhD in Information and Communication Technologies, awarded with mention Cum Laude, from Universitat Pompeu Fabra (2019). He obtained a MSc in Artificial Intelligence at Universidad Nacional de Educación a Distancia – UNED (2016) and a BSc+MSc in Computer Science & Engineering at Universidad de Zaragoza (2010), which included a full year as an exchange student at Luleå Tekniska Universitet. Pablo also attended the 1st Summer School on Methods for Computational Social Science and the 1st Summer School of the Network of Excellence in Internet Science.

Erdős no.	Author	Link
4	Pablo Aragón	Eom, Y. H., Aragón, P., Laniado, D., Kaltenbrunner, A., Vigna, S., & Shepelyansky, D. L. (2015). Interactions of cultures and top people of Wikipedia from ranking of 24 language editions. PloS one, 10(3), e0114825.
3	Sebastiano Vigna	Boldi, P., Shammah, S., Vigna, S., Codenotti, B., Gemmell, P., & Simon, J. (1996, June). Symmetry Breaking in Anonymous Networks: Characterizations. In ISTCS (pp. 16-26).
2	Janos Simon	Simon, J., & Szegedy, M. (1990). A New Lower Bound Theorem for Read-Only-Once Branching Programs and its Applications. In Advances in Computational Complexity Theory (pp. 183-193).
1	Márió Szegedy	Erdős, P., Pálfy, P. P., & Szegedy, M. da≡p≤b≡p for all primes p implies a=b. Amer. Math. Monthly 94 (1987), no. 2, 169–170.
0	Paul Erdös