Who are we?

CS2-DataLab is an interdisciplinary laboratory where professors, researchers and MA/MSc/PhD students coming from different disciplines and diverse methodological background tackle similar social problems through the use of computational methods and a complex systems perspective. CS2 is conceived as an open research facility, which is aimed to promote computational social research and doctoral training, but also transference activities. Research interests:

  • Social determinants of health
  • Social sustainable development (environment, society and territory)
  • Information Retrieval
  • Complex social systems and the emergence of collective phenomena
  • Computational methods and decision support tool for policy planning
  • Efficacy and efficiency in health and social service provision
  • Communication, internet, and social networks
  • Digital humanities (digital culture and society)




Complex Social Systems


Health Misinformation on Social Media


The present work studies the changes in socioeconomic determinants of health and analyzes the evolution in this relationship for the period 2005–2014 in Spain.


Methodological Innovations in Social Sciences


Social Determinants of Health (SDoH).


Social Inequalities in Multimorbidity

eHealth/ mHealth

This project aims to assess the relationship between social media and public health.


Principal Investigator


Javier Alvarez-Galvez

Research Fellow (Ramon y Cajal)



Alvaro Suárez-Vergne

PhD Student


Blanca Lozano-Chacon

Graduate Student


Victor Suarez-Lledo

PhD Student

Recent Publications

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The prevalence of health misinformation was the highest on Twitter and on issues related to smoking products and drugs. However, …

There were significant differences in the use of the Internet for health information according to gender, age, education, long-term …

This research aims to analyse the association between socioeconomic status (SES) and self-rated health (SRH) through its relationship …