Hi! I am Pablo Aragón, doctoral researcher at the Artificial Intelligence and Machine Learning research group in Universitat Pompeu Fabra, and the Data Science & Big Data Analytics unit in Eurecat, Centre Tecnològic de Catalunya. My research focuses on understanding social and political phenomena through the analysis of data from the Internet. I am particularly interested in characterizing online participation in civic technologies, the online network structures of grassroots movements and political parties, and the technopolitical dimension of networked democracy. These interests have led me to participate in EU funded research projects like DECODE, in which we are building free open-source infrastructures to increase data sovereignty of European citizens, or D-CENT, in which we contributed to transform everyday democratic decision making through free open-source digital technologies. I was also a visiting scholar at the Oxford Internet Institute (University of Oxford) and I actively collaborate with public institutions:
- Barcelona City Council (Area of Citizen Rights, Participation and Transparency) for Decidim, the free open source platform for participatory democracy. As part of this project I co-organize the Metadecidim Lab research seminars and I have co-founded and served as the first coordinator of the Democratic Innovation Lab of Barcelona, an open space at Fabra i Coats to address citizen challenges in an intelligent, participatory and democratic manner.
- Madrid City Council (Medialab Prado) for the Collective Intelligence for Participatory Democracy Lab – Participa Lab. In particular, I coordinated the Data Analysis for Citizen Participation project and contributed to the Collective Intelligence for Democracy hackatons (mentorship in 2016, and research in 2017).
These collaborations extend the work done as a co-founder member of the research network DatAnalysis15M (book here, free content here). My research activities include my services at the Program Committee of:
- WWW 2019-2020,
- ICWSM 2016-2020 (best reviewer award in 2019),
- WebSci 2019,
- SocInfo 2017-2019,
- Euro CSS 2017-2019,
- IC2S2 2018
- CSS Summer School on methods 2018-2019,
and the review of journals articles in:
- PLOS ONE,
- EPJ Data Science,
- Policy & Internet,
- Information Systems Frontiers,
- Online Social Networks and Media,
I also serve as lecturer at the Discrete Mathematics course in Universitat Pompeu Fabra and co-supervised the MSc thesis:
- Gallego H. (2017), Computational comparative analysis of the Twitter networks of the 2015 and 2016 Spanish national elections, MSc thesis, Universitat Pompeu Fabra, Intelligent Interactive Systems
I have also been invited as guest lecturer at:
- Universidad de Zaragoza,
- Universitat Oberta de Catalunya,
- Universidad Autónoma de Barcelona,
- Universidad Autónoma de Madrid,
- Universidad de Granada,
- Instituto Tecnológico de Monterrey,
- Universidad Autónoma de Querétaro,
- The Europaeum Scholars Programme.
Prior to my academic career I worked for two years as a data engineer designing backend systems for social media monitoring processes in a startup company.
I am currently pursuing a PhD in Information and Communication Technologies at Universitat Pompeu Fabra. I obtained a MSc in Artificial Intelligence at Universidad Nacional de Educación a Distancia – UNED in 2016, and a BSc+MSc in Computer Science & Engineering at Universidad de Zaragoza in 2010, which included a full year as an exchange student at Luleå Tekniska Universitet. 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, David. 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.|