This hub offers curated resources that explore opportunities to address climate change and nature loss using modern AI. Potential applicants may review these resources as a starting point, but are not limited to the information or approaches presented here. All links and resources are provided for informational purposes only.
Resources
AI for climate and nature
Understanding how climate change and nature loss may be addressed using AI.
Columbia University and Bezos Earth Fund
This report reviews current uses of AI in climate and nature, and identifies emerging opportunities at the nexus of those fields.
Bezos Earth Fund and Foresight Institute
This report summarizes findings from an October 2023 workshop that convened experts across climate, nature, and AI, which explored opportunities for AI to accelerate climate and nature solutions.
Bezos Earth Fund and Foresight Institute
This video playlist features lightning talks from leading researchers, entrepreneurs, and decision-makers across AI, climate, and nature to explore opportunities for impact.
Columbia University and Bezos Earth Fund
This recorded livestream includes sessions from leaders within city government, academia, and frontline organizations on addressing climate and nature issues using modern AI.
Climate Change AI, the Center for Open Data Enterprise and Data Innovators, and the Bezos Earth Fund
This report makes strategic recommendations on the design of grand challenges in AI for climate and nature, grounded in an analysis of 200+ grand challenges and open innovation initiatives.
Innovation for Cool Earth Forum
This report provides an introduction to the nexus of AI and climate change, and explores six areas in which AI is helping respond to climate change.
World Economic Forum
This report provides an overview of how AI can be applied to address environmental challenges, including climate change, biodiversity loss, and water scarcity.
Climate Change AI
This paper describes how machine learning can be deployed to reduce greenhouse gas emissions and help society adapt to a changing climate.
Focus areas
Information on first-round areas of interest.
The first round of the Grand Challenge will focus on sustainable proteins, power grid optimization, and biodiversity conservation — as well as other visionary wildcard climate and nature solutions.
Sustainable proteins
Sustainable proteins like plant-based and cultivated meat can satisfy the growing demand for meat while reducing pressure on the planet. To achieve widespread adoption, sustainable proteins need to compete with animal-sourced proteins on taste, price, and nutrition. Download a one-page summary to learn more about sustainable proteins (PDF).
FAIRR Initiative
This resource hub includes research and insights on sustainable proteins.
Frontiers in Sustainable Food Systems
This review paper summarizes research on consumer attitudes toward plant-based and cultivated meat products, providing insights for product development and marketing.
Good Food Institute
This primer provides an overview of the plant protein landscape, including market trends, technological innovations, and environmental benefits.
United Nations Environmental Program
This report outlines a variety of current alternative food products and the research needed to understand their health, environmental, and social impacts.
Power grid optimization
The global electricity grid — a complex network of over 7 million kilometers of transmission lines serving billions of people — is in urgent need of transformation to meet the world’s climate goals. Download a one-page summary to learn more about power grid optimization (PDF).
Institute of Electrical and Electronics Engineers
This paper discusses power system resilience and identifies research gaps, associated challenges, and potential solutions to existing limitations.
Clean Energy States Alliance
This webinar presents five possible pathways to achieve net-zero emissions by 2050 and discusses energy system modeling techniques and implications.
Applied Energy
This paper provides a comprehensive review of machine learning applications in the transition to active, flexible, and intelligent power systems.
World Bank
This program provides extensive resources on power system planning and operation.
International Renewable Energy Agency
This technology brief, part of IRENA’s Power Sector Transformation resource, provides an overview of the main performance and costs of technologies that are used to support renewable energy grid integration.
Global Climate Action Partnership
This portal offers information about smart grid initiatives and technologies.
Biodiversity conservation
The world is witnessing a massive decline in habitats, wildlife populations, and genetic diversity driven by climate change, natural resource exploitation, and invasive species. Download a one-page summary to learn more about biodiversity conservation (PDF).
Global Biodiversity Information Facility
An international network and open data infrastructure, funded by governments. It provides access to data about all types of life on Earth, supportive of biodiversity research.
International Union for Conservation of Nature and Natural Resources
This IUCN Red List is a comprehensive database on the global extinction risk of animal, fungus, and plant species, providing a foundation for biodiversity conservation efforts.
Conservation International
This platform uses AI to streamline wildlife monitoring from camera trap data, providing insights for conservation decision-making.
Understanding AI and using it responsibly
Resources describing the basic function, application, and responsible deployment of artificial intelligence.
Nesta
This toolkit helps teams conduct impact assessments for AI projects, ensuring their solutions are aligned with ethical standards and effectively address problems at the appropriate scale.
International Telecommunication Union
This organization offers resources on the responsible application of AI in global problem-solving, providing guidelines and case studies to help teams effectively and ethically leverage AI technologies for environmental and societal benefits.
The Global Partnership for Artificial Intelligence
This report shares learnings and recommendations from the Scaling Responsible AI Solutions project, which matched AI teams with mentors to identify and tackle challenges in responsibly scaling AI solutions for positive socio-environmental impact.
Responsible Innovation Labs
This framework provides resources and actionable guidance for early-stage AI startups and their investors to operationalize responsible AI practices, focusing on key areas such as risk assessment, product safety testing, and ongoing improvement.
University of Helsinki
A free online course that introduces the basics of artificial intelligence to non-experts, helping them understand and use AI responsibly.
European Commission
These guidelines ensure AI systems are developed and deployed in a trustworthy manner, focusing on ethical considerations and robustness.
Stanford University
This initiative includes collaborations with labs, centers, and institutes spanning many aspects of technology and society.
United Nations Educational, Scientific and Cultural Organization
This draft of UNESCO’s recommendations provides a framework of values, principles, and policy actions to guide stakeholders in developing ethical AI systems that respect human rights, promote human dignity, and protect the environment.
Building a team and developing a solution
Tools to develop partnerships and assess impact.
Nesta
This toolkit provides practical steps to creating a successful partnership, writing an effective partnership agreement, and getting collaboration off to a good start.
World Business Council for Sustainable Development
This tool helps businesses understand and communicate their societal impact to enhance operational and strategic decision-making.