AI for Climate & Nature

Harnessing AI for Climate & Biodiversity Solutions

At the University of Cambridge, we are proud to introduce AI for Nature & Climate, a vibrant and pioneering research community dedicated to leveraging artificial intelligence to address the pressing environmental challenges of our time. Our community brings together leading researchers, scientists and innovators from various disciplines, all committed to harnessing the power of AI to promote sustainability and combat climate change. Through collaborative efforts and cutting-edge research, we aim to develop transformative solutions that will make a meaningful impact on our planet’s future.

Project Overview

The twin climate and biodiversity crises are two of the world’s most complex challenges to tackle. This project aims to develop AI approaches for bringing together a wide range of datasets and accelerating the collation of information.

This work will provide up to date, relevant and robust information for researchers and decision-makers working on climate and biodiversity conservation – opening up the possibility for more targeted and effective solutions to some of our world’s most pressing climate and biodiversity challenges.

This project is a collaboration between Cambridge Zero, Cambridge Conservation Initiative, Conservation Evidence, Institute for Computing for Climate Science, Conservation Research Institute, Centre for Landscape Regeneration, Cambridge Centre for Carbon Credits and Cambridge Centre for Earth Observation.

Goals

Develop AI algorithms capable of integrating and analysing diverse datasets related to climate and biodiversity, including satellite imagery, climate models, species distribution data, and scientific research on conservation effectiveness.
Create a platform or tool that provides real-time, up-to-date information on climate and biodiversity indicators to researchers and decision-makers.
Enhance the accuracy and reliability of predictive models for assessing the impacts of climate change on biodiversity and ecosystems.
Identify priority areas for conservation and restoration efforts based on AI-driven analysis of environmental data.
Support evidence-based decision-making by policymakers and conservation practitioners through the synthesis and visualisation of complex datasets.
Facilitate interdisciplinary collaboration between computer science, ecology, climate science, and conservation biology to leverage AI technology for addressing climate and biodiversity challenges.
Develop methodologies for monitoring and evaluating the effectiveness of climate and biodiversity conservation interventions using AI-driven approaches.
Empower local communities and stakeholders with access to AI tools and resources for participatory conservation planning and management.
Contribute to building a more equitable and sustainable future by providing tools and knowledge to address the interconnected challenges of climate change and biodiversity loss.
Foster innovation and knowledge exchange among the participating organizations and research institutions to advance the field of AI for climate and nature conservation.

Featured Projects

Harnessing AI for Forest Monitoring: Impact on Climate and Biodiversity

AI-Driven Conservation CoPilot: Revolutionising Biodiversity Solutions

Calculating Optimal Land Choices for a Greener Britain

“Mitigating the impacts of climate change while maintaining and restoring biodiversity demands urgent, evidence-based action. We’re excited to bring together an interdisciplinary team across computer science, ecology, climate and conservation to use AI to empower decision-makers to equitably tackle the biggest challenge of our generation.”
Anil Madhavapeddy, AI-deas challenge co-lead