Deep mutual learning: incentives and trust through collaborative integration of artificial intelligence into sustainability science
Sustainability science increasingly requires computationally intensive predictive and decision-making tasks across varied temporal and spatial scales.
Authors
- Shashi Shekhar (ORCID: https://orcid.org/0000-0001-8217-3244)
- Johannes Lehmann (ORCID: https://orcid.org/0000-0002-4701-2936)
- Matthias C. Rillig (ORCID: https://orcid.org/0000-0003-3541-7853)
- Carla Gomes (ORCID: https://orcid.org/0000-0002-6089-0485)
Institutions
- University of Minnesota (US)
- Cornell University (US)
- Berlin Brandenburg Institute of Advanced Biodiversity Research (DE)
- Freie Universität Berlin (DE)
Publication Details
- Journal
- RSC Sustainability
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5su00572h
- Primary Topic
- Innovation, Sustainability, Human-Machine Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- National Institute of Food and Agriculture