Descrizione del progetto
Raggiungere obiettivi di sviluppo sostenibile grazie alla scienza dei cittadini
Nel 2015, le Nazioni Unite hanno messo sul tavolo 17 obiettivi di sviluppo sostenibile (OSS) da raggiungere tramite 169 traguardi e da misurare avvalendosi di 232 indicatori. Tuttavia, la raccolta di questo tipo di dati può rivelarsi impegnativa. Il progetto CROWD4SDG, finanziato dall’UE, si prefigge di analizzare come si possa impiegare la scienza dei cittadini per misurare i progressi compiuti per il raggiungimento degli OSS. In questo ambito, il progetto esaminerà come la scienza dei cittadini riesca a monitorare gli impatti di eventi climatici estremi e rafforzare la resilienza delle comunità nella cornice delle catastrofi legate al clima. La metodologia applicata dal progetto si fonderà sull’intelligenza artificiale e sull’apprendimento automatico nonché sull’utilizzo dei social media e altre fonti di dati non convenzionali.
Obiettivo
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.
Campo scientifico
Parole chiave
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SwafS-2019-1
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
1211 Geneve
Svizzera