Descripción del proyecto
Alcanzar los objetivos de desarrollo sostenible (ODS) gracias a la ciencia ciudadana
En 2015, las Naciones Unidas anunciaron 17 objetivos de desarrollo sostenible (ODS) que debían alcanzarse a través de 169 metas y medirse con 232 indicadores. No obstante, recopilar tales datos puede ser todo un reto. El proyecto CROWD4SDG, financiado con fondos europeos, tiene por objeto analizar la forma en que puede utilizarse la ciencia ciudadana (CC) para medir los progresos con respecto a los ODS. Dentro de este ámbito, el proyecto explorará cómo puede la CC supervisar los efectos de los fenómenos climáticos extremos y fortalecer la resiliencia de las comunidades en el contexto de las catástrofes climáticas. La metodología del proyecto se basará en la inteligencia artificial y el aprendizaje automático, así como en el uso de las redes sociales y de otras fuentes de datos no tradicionales.
Objetivo
The 17 Sustainable Development Goals (SDGs), launched by the UN in 2015, are underpinned by 169 concrete targets and 232 measurable indicators. Some of these indicators have no established measurement methodology. For others, many countries do not have the data collection capacity. Measuring progress towards the SDGs is thus a challenge for most national statistical offices. The goal of the Crowd4SDG project is to research the extent to which Citizen Science (SC) can provide an essential source of non-traditional 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 resilience of communities to climate-related disasters. To achieve this goal, Crowd4SDG will initiate research on the applications of artificial intelligence and machine learning to enhance CS and explore the use of social media and other non-traditional data sources for more effective monitoring of SDGs by citizens. Crowd4SDG will use direct channels through consortium partner UNITAR to provide national statistical offices with recommendations on best practices for generating and exploiting CS data for tracking the SDGs. To this end, Crowd4SDG will rigorously assess the quality of the scientific knowledge and usefulness of practical innovations occurring when teams develop new CS projects focusing on climate action through three annual challenge-based innovation events, both online and in person. A wide range of stakeholders, from the UN, governments, the private sector, NGOs, academia, innovation incubators and maker spaces will be actively involved in advising the project and exploiting the scientific knowledge and technical innovations that it generates.
Ámbito científico
Palabras clave
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-SwafS-2019-1
Régimen de financiación
RIA - Research and Innovation actionCoordinador
1211 Geneve
Suiza