“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, under the supervision of Dr. Vicenç Gómez and Dr. Andreas Kaltenbrunner. 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 Digital Humanities Unit in Eurecat – Technology Centre of Catalonia (formerly 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 focus on the study of the effects of digital platforms in citizen participatory processes as well as communication dynamics and information diffusion in the context of networked social movements.
Additionally, I actively collaborate with the Tecnopolítica research group (Internet Interdisciplinary Institute – Open University of Catalonia) in the projects:
- LAB Metadecidim,
- D-CENT (concluded, deliverables here),
- DatAnalysis15M (book here, free content here),
- Internet, net neutrality, hacker ethics and digital culture (concluded, paper here).
My research activities include my services at the Program Comittee of
and the review of journals articles in
Besides research, I am teaching assistant at the Universitat Pompeu Fabra and I have co-supervised the Master 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
Also, I have served as invited lecturer at
- Universitat Oberta de Catalunya,
- Universidad Autónoma de Barcelona,
- Universidad Autónoma de Madrid,
- Col·legi de Periodistes de Catalunya,
- Instituto Tecnológico de Monterrey,
- Universidad Autónoma de Querétaro,
- Medialab Prado.
Before my academic career, I worked 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 Network of Excellence Internet Science Summer School.
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.|