Leveraging the collaborative power of AI and citizen science for sustainable development

Fraisl, D. ORCID: https://orcid.org/0000-0001-7523-7967, See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, Haklay, M., & McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988 (2024). Leveraging the collaborative power of AI and citizen science for sustainable development. Nature Sustainability 10.1038/s41893-024-01489-2.

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Project: Curating, Replicating, Orchestrating, and Propogating Citizen Science across Europe (CROPS, HE 101131696), Open-Earth-Monitor Cyberinfrastructure (OEMC, HE 101059548), Giving Rural Actors Novel data and re-Useable tools to Lead public Action in Rural areas (GRANULAR, HE 101061068), European Citizen Science (ECS, HE 101058509), Extreme Citizen Science Techniques And Tools In the Cloud (ECSTATIC, HE 101123291)

Abstract

Both artificial intelligence (AI) and citizen science hold immense potential for addressing major sustainability challenges from health to climate change. Alongside their individual benefits, when combined, they offer considerable synergies that can aid in both better monitoring of, and achieving, sustainable development. While AI has already been integrated into citizen science projects such as through automated classification and identification, the integration of citizen science approaches into AI is lacking. This integration has, however, the potential to address some of the major challenges associated with AI such as social bias, which could accelerate progress towards achieving sustainable development.

Item Type: Article
Research Programs: Advancing Systems Analysis (ASA)
Advancing Systems Analysis (ASA) > Novel Data Ecosystems for Sustainability (NODES)
Strategic Initiatives (SI)
Depositing User: Luke Kirwan
Date Deposited: 16 Dec 2024 15:49
Last Modified: 20 Dec 2024 10:01
URI: https://pure.iiasa.ac.at/20189

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