List of results published directly linked with the projects co-funded by the Spanish Ministry of Economy and Competitiveness under the María de Maeztu Units of Excellence Program (MDM-2015-0502).

List of publications acknowledging the funding in Scopus.

The record for each publication will include access to postprints (following the Open Access policy of the program), as well as datasets and software used. Ongoing work with UPF Library and Informatics will improve the interface and automation of the retrieval of this information soon.

The MdM Strategic Research Program has its own community in Zenodo for material available in this repository   as well as at the UPF e-repository   



Back CS-Track − Expanding our knowledge on Citizen Science through analytics and analysis, new H2020 project with Davinia Hernández-Leo

CS-Track − Expanding our knowledge on Citizen Science through analytics and analysis, new H2020 project with Davinia Hernández-Leo




: H2020-SwafS-2019-1


Abstract: The Call focuses on Citizen Science (CS), understanding it in a comprehensive way and inviting projects to deepen and broaden our knowledge on CS activities and their impact. Indeed, overcoming present hurdles on the way to reach that knowledge will enable the potential benefits of CS – on individual citizens, organizations, and society at large – to be realized more effectively and frequently. This is the aim of our proposed project, CS- Track, which will seek this increased knowledge by “observing” a large and diverse set of CS activities, gathering data from the web, interviews of involved players, etc., and from a more direct inspection of running activities. Vast amounts of data will thus be studied, relying for this on (1) web- based analytics, i.e. the use of computational analyses to study CS activities based on their manifestations and traces on the web and social media, and (2) deepening and combining these analyses with approaches known from social studies through multi-perspective analysis and triangulation. Our data analytics and analysis will target both “own” aspects and developments of the CS activities (organizational/operational characteristics, scientific outcomes, good practices, individual/group learning, other success or failure indicators, etc.), and societal aspects, related to the impact of those activities on society, such as gender, age, geographical and socio-economic differences; science as a discipline and its role in society, changing attitudes to science, women in science, etc. This will enable us to understand complex processes, disseminate good practices and formulate knowledge-based policy recommendations intended to optimize CS to make it a major, positive factor for EU’s society and economy. The project will last 36 months, involving 9 partners from 7 countries.

Contact for additional details: Patricia Santos



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