Selected in the AI@CAM challenge for conservation research (via University of Cambridge) / Feb 2024

We won the AI@CAM challenge that was sent out University wide to find research projects that use AI to tackle society's biggest challenges. Our project on using AI for climate and nature is one of the five selected.

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.

Anil Madhavapeddy, AI-deas challenge co-lead, said: '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.'

-- AI@CAM

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