Leveraging the collaborative power of AI and citizen science for sustainable development
Authors/Creators
Description
oth 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.
Files
Haklay_Fraisl et al - AI SDGs CS 2024.pdf
Files
(389.4 kB)
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Additional details
Funding
- European Commission
- CROPS - Curating, Replicating, Orchestrating, and Propogating Citizen Science across Europe 101131696
- European Commission
- OEMC - Open-Earth-Monitor Cyberinfrastructure 101059548
- European Commission
- GRANULAR - Giving Rural Actors Novel data and re-Useable tools to Lead public Action in Rural areas 101061068
- European Commission
- ECS - European Citizen Science 101058509
- European Commission
- ECSTATIC - Extreme Citizen Science Techniques And Tools In the Cloud 101123291
- European Commission
- PATTERN - Piloting open and responsible Activities and Trainings Towards the Enhancement of Researchers Networks 101094416
Dates
- Accepted
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2024-12-16