“I think of myself as a computer scientist who is interested in social questions.” – Jon Kleinberg
Hi! I am Pablo Aragón, PhD candidate at the Artificial Intelligence and Machine Learning research group – Universitat Pompeu Fabra. My main research interests are:
- Computational Social Science,
- Social Systems,
- Digital Democracy,
- Social Network Analysis.
Since 2011, I work as a data scientist at the Big Data & Data Science Unit in Eurecat, Centre Tecnològic de Catalunya (formerly known as the Social Media research group in Barcelona Media), where my main activity deals with retrieving, analysing and visualising Big Data from the Social Web. I was also a visiting scholar at the Oxford Internet Institute (University of Oxford) in 2018.
My recent research focuses on the study of the effects of digital platforms in citizen participatory processes as well as the online network structure of social movements and political parties. To address these research topics I actively collaborate with:
- Barcelona City Council (Area of Citizen Rights, Participation and Transparency) for Decidim, the FLOSS platform for participatory democracy. In particular, I coordinate the Laboratory for Democratic Innovation of Barcelona, an open space at Fabra i Coats to solve urban challenges in an intelligent, participatory and democratic manner.
- Collective Intelligence for Participatory Democracy Lab (Participa Lab) at Medialab Prado, for the projects:
- Tecnopolítica research group (Internet Interdisciplinary Institute – Open University of Catalonia) for the projects:
My research activities include my services at the Program Comittee of
- ICWSM-18, ICWSM-17, ICWSM-16,
- SocInfo 2018, SocInfo 2017,
- IC2S2 2018,
- Euro CSS 18, Euro CSS 17,
and the review of journals articles in
- PLOS ONE,
- EPJ Data Science,
- Policy & Internet,
- Information Systems Frontiers,
- Online Social Networks and Media,
I have served as teaching assistant of the Discrete Mathematics course at Universitat Pompeu Fabra and co-supervised the Master’s thesis:
- Gallego H. (2017), Computational comparative analysis of the Twitter networks of the 2015 and 2016 Spanish national elections, M.Sc. thesis, Universitat Pompeu Fabra, Intelligent Interactive Systems
I have also served as invited lecturer at
- Universitat Oberta de Catalunya,
- Universidad Autónoma de Barcelona,
- Universidad Autónoma de Madrid,
- Instituto Tecnológico de Monterrey,
- Universidad Autónoma de Querétaro.
Prior to my academic career, I worked for two years as a data engineer designing crawlers and backend systems for social media monitoring processes in a startup company.
I am currently pursuing a PhD in Computer Science at the Universitat Pompeu Fabra. I obtained a Master of Science (M.Sc.) in Artificial Intelligence at the Universidad Nacional de Educación a Distancia – UNED in 2016, and a Master of Science (M.Sc.) in Computer Science & Engineering at the Universidad de Zaragoza in 2010, which included a full year as exchange student at Luleå Tekniska Universitet (Sweden). I 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 number = 4
|4||Pablo Aragón||García-Gavilanes, Ruth; Kaltenbrunner, Andreas; Sáez-Trumper, Diego; Baeza-Yates, Ricardo; Aragón, Pablo; Laniado, Davi.; “Who are my Audiences? A Study of the Evolution of Target Audiences in Microblogs”. 6th International Conference on Social Informatics (2014).|
|3||Ricardo A. Baeza-Yates||Szwarcfiter, Jayme L.; Navarro, Gonzalo; Baeza-Yates, Ricardo; Oliveira, Joísa de S.; Cunto, Walter; Ziviani, Nívio Optimal binary search trees with costs depending on the access paths. Theoret. Comput. Sci. 290 (2003), no. 3, 1799–1814.|
|2||Jayme Luiz Szwarcfiter||de Figueiredo, Celina M. H.; Gimbel, John; Mello, Célia P.; Szwarcfiter, Jayme L. Sources and sinks in comparability graphs. Order 14 (1997), no. 1, 75–83.|
|1||John Gordon Gimbel||Erdős, Paul; Gimbel, John; Straight, H. Joseph Chromatic number versus cochromatic number in graphs with bounded clique number. European J. Combin. 11 (1990), no. 3, 235–240.|