Published: July 13th 2021 – Last revision: July 26th 2021
Crowd4SDG is a Horizon 2020 Research and Innovation Action supported by the European Commission’s Science with and for Society (Swafs) programme. Through an innovation cycle called GEAR (GATHER, EVALUATE, ACCELERATE, REFINE), the transdisciplinary Crowd4SDG consortium of six partners will promote the development of citizen science projects aimed at tackling the Sustainable Development Goals (SDGs), with a focus on climate action.
The goal of the Crowd4SDG project is to research the extent to which Citizen Science (CS) can provide an essential source of nontraditional data for tracking progress towards the SDGs, as well as the ability of CS to generate social innovations that enable such progress. Based on shared expertise in crowdsourcing for disaster response, the transdisciplinary Crowd4SDG consortium of six partners will focus on SDG 13, Climate Action, to explore new ways of applying CS for monitoring the impacts of extreme climate events and strengthening the resilience of communities to climate-related disasters.
While the CS projects developed in the three GEAR cycles of Crowd4SDG will all aim to address the SDG 13, Climate Action, each GEAR cycle will explore a specific sustainability dimension of climate preparedness, in connection with another SDG: sustainable cities (SDG 11), women empowerment (SDG 5) and human rights (SDG 16).
A wide range of stakeholders, from the UN, governments, the private sector, NGOs, academia, innovation incubators and maker spaces will be involved in advising the project and exploiting the scientific knowledge and technical innovations that it generates.
More information is available at Crowd4SDG webpage.
Media
Contributors
Universitat de Barcelona
IIIA – CSIC
Jesus Cerquídes
Manel Rodríguez Soto
Juan A. Rodríguez-Aguilar
CERN
Université de Genève
Politecnico di Milano
United Nations Institute for Training and Research
Université de Paris
Related Publications
The full list of publications and contributions is available at the Crowd4SDG webpage.
Guaranteeing the Learning of Ethical Behaviour through Multi-Objective Reinforcement Learning.
Manel Rodríguez Soto, Maite López-Sánchez, & Juan A. Rodríguez-Aguilar (2021). Guaranteeing the Learning of Ethical Behaviour through Multi-Objective Reinforcement Learning. Adaptive and Learning Agents Workshop at AAMAS 2021 (ALA 2021).
Multi-Objective Reinforcement Learning for Designing Ethical Environments
Manel Rodríguez Soto, Maite López-Sánchez, & Juan A. Rodríguez-Aguilar (2021). Multi-Objective Reinforcement Learning for Designing Ethical Environments. Proceedings of the 30th International Joint Conference on Artificial Intelligence, (IJCAI-21) (pp. in-press).
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