Published December 16, 2024 | Version v1

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

  • 1. ROR icon International Institute for Applied Systems Analysis
  • 2. ROR icon University College London
  • 3. Mapping for Change

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.

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Haklay_Fraisl et al - AI SDGs CS 2024.pdf

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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
2024-12-16