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

Dilek Fraisl (), Linda See, Steffen Fritz, Mordechai Haklay and Ian McCallum
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Dilek Fraisl: International Institute for Applied Systems Analysis (IIASA)
Linda See: International Institute for Applied Systems Analysis (IIASA)
Steffen Fritz: International Institute for Applied Systems Analysis (IIASA)
Mordechai Haklay: University College London (UCL)
Ian McCallum: International Institute for Applied Systems Analysis (IIASA)

Nature Sustainability, 2025, vol. 8, issue 2, 125-132

Abstract: 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.

Date: 2025
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DOI: 10.1038/s41893-024-01489-2

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