Collective and participatory research focused on the measurement of NO2 levels in Barcelona during four weeks in 2018, in the context of the project xAire and the exhibition «After the end of the world».

The research paper entitled «Large-scale citizen science provides high-resolution nitrogen dioxide values and health impact while enhancing community knowledge and collective action» is openly available in The Science of Total Environment journal. We demonstrate that citizen science contributes to the effort to lower air pollution in urban areas providing evidences by citizen for performing community action and policies to tackle the problem. At the same time, the high-resolution measurements helps to scientist to provide air quality models and health impact assessments.

Furthermore, the air quality data jointly with social data allows to perform analysis about the environmental inequalities in urban areas, and ultimately the social impact of pollution. You can find the code and data of the social and environmental analysis in this repository.

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New research paper focused on our work on public libraries and citizen science in two projects: «Citizen Science Laboratory» and «Citizen Science in Action». The paper entitled «Public libraries embrace citizen science: strengths and challenges» is openly available in the journal "Library & Information Science Research". Some of the highlighted results are: public libraries can offer leadership in the promotion and implementation of citizen science initiatives; citizen science helps to attract new users, increase social cohesion, and improve perceptions of a library's social value; and citizen science encourages users to address science-based community issues alongside scientists.

The project «Citizen Science Laboratory» resulted in a crowdsourced toolkit for and by librarians and citizens with multidisciplinary citizen science projects to perform in libraries. Furthermore, you can find a post published in the CCCBLab blog about Citizen Science and Public Libraries in a global context.

The book «The Science of Citizen Science» has been finally published with the contribution of over a hundred authors. Personally, I contributed to the chapter «Machine Learning in Citizen Science: Promises and Implications» in which we delve into the application of machine learning in citizen science and into the collaboration between citizens and machines to solve complex problems fairly. In addition to that, I participated in other projects presented in the chapters «Citizen Social Science: New and Established Approaches to Participation in Social Research» and «Participation and Co-creation in Citizen Science».

This book covers all aspects, including the strengths and barriers, that are relevant to fulfill the many expectations of citizen science. It is a wonderful conclusion to four years of intensive exchange and cooperation within a European research network on citizen science in the context of COST Action 15212: Citizen Science to promote creativity, scientific literacy, and innovation throughout Europe.

Cooperation in hyper-social spaces is highly conditioned by the gender of the interacting individuals. This experiment, carried out at Fira de Tàrrega in 2017, measures the willingness of people to cooperate, pairing them to take part in the prisoner's dilemma game, outdoors and in the context of an artistic performance. This experiment, performed using participatory research and citizen science principles, shed light on how the other’s gender identity is a relevant factor in terms of cooperation and trust. In hyper-social scenarios, individuals show a pro-social behaviour, especially women, who exhibit high levels of cooperation, trust and ability to guess the others’ behaviour. The complete research paper «Gender-based pairings influence cooperative expectations and behaviours» is publicly available in Scientific Reports and co-authored with Anna Cigarini and Josep Perelló.

«Doctoral Special Prize» awarded to my doctoral dissertation «Human Behaviour Experimentation and Participation in Scientific Activities in the Wild» by Universitat Rovira i Virgili. I would like to thank Jordi Duch and Mercè Gisbert for their supervision, the co-authors of the publications included in the thesis and the committee formed by Marisa Ponti, Frederic Guerrero and Sergio Gomez, who awarded it with the mention "Cum Laude". The work delves into the understanding of social complex systems and studies cooperation in different contexts by means of collective experimentation based on game theory and social dilemmas. The dissertation also digs into the development of platforms to perform participatory and citizen science and the application of machine learning algorithms to unveil behavioural patterns.

Citizen Social Lab is a digital platform used to perform behavioural experiments in the wild following the principles of citizen science. This platform collects data from the interaction between individuals who face a varied set of social dilemmas (public goods games, prisoner’s dilemma, trust game...). The platform is analysed with detail in the paper «Citizen Social Lab: A Digital Platform for Human Behaviour Experimentation Within a Citizen Science Framework» published in PlosOne with data of more than two thousand individuals participating in experiments in the public space. This paper is co-authored with Jordi Duch and Josep Perelló.

Social experiment that studies the cooperation around the negotiations against climate change. It was carried out in Barcelona using citizen science methodologies with the participation of 324 individuals. The outlines of the experiment published in PlosOne revealed that inequalities around climate change negotiations are tougher on individuals, societies and organizations with few resources, who are, at the same time, the ones that show higher cooperation levels in relative terms.

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Talk at the Conference of Complex Systems (Thessaloniki, 2018) within the workshop «Complex systems for the most vulnerable». The talk, «Addressing social justice and unveiling vulnerabilities through game theory and collective experiments», was focused on presenting the emergency of behaviours around important societal challenges such as climate change and its mitigation actions, public health and the current trend to reinforce care-at-home services, and the health impact on citizens due to strong inequalities in city air quality. All this phenomena was studied by means of a set of lab-in-the-field behavioural experiments coupled with citizen science practices.

Presentation of our work about social interactions in the mental health care community at the VII Jornada Complexitat: complex systems for theory to data science. The talk «A game theory approach to the mental health community» dig into the behavioural traits of role groups and the social capital in the mental health ecosystem.

Defense of my doctoral dissertation «Human Behaviour Experimentation and Participation in Scientific Activities in the Wild» in Spring 2018. The thesis was supervised by Jordi Duch and Mercè Gisbert. This work, developed during four years, delves into the understanding of social complex systems and studies cooperation in different contexts (climate change, mental health care community, etc.) by means of collective experimentation based on game theory and social dilemmas. The dissertation also digs into the development of platforms to perform participatory and citizen science and the application of machine learning algorithms to unveil behavioural patterns. It was successfully defended and awarded with the mention "Cum Laude" by the committee formed by Marisa Ponti, Frederic Guerrero and Sergio Gomez.

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Mental disorders have an enormous impact in our society. In «Quantitative account of social interactions in a mental health care ecosystem: cooperation, trust and collective action» we present the results of a suite of games that allow us to probe into different behavioral traits of the mental health care community role groups by means of citizen science practices. The evidence reinforces the idea of community social capital, with caregivers and professionals playing a leading role. Yet, the cost of collective action is mainly supported by individuals with a mental condition - which unveils their vulnerability. We finally point to the conditions under which cooperation among members of the ecosystem is better sustained, suggesting how virtuous cycles of inclusion and participation can be promoted in a "care in the community" framework. This research paper was co-authored with Anna Cigarini, Josep Perelló and Anxo Sanchez.

Lab-in-the-field experiment in which 541 individuals face four different dyadic games with the aim of establishing general behavioral rules dictating individuals’ actions. By analyzing the observations of these simple social situations using machine learning algorithms, we find that a majority of the subjects conform, with a large degree of consistency, to a limited number of behavioral phenotypes: envious, optimist, pessimist, and trustful. The complete results are publised in Science Advances.