We will develop AI algorithms to monitor, predict, simulate and contrast the baseline change in nature with the impact of interventions, including nature-based solutions and financial investments, over large areas and over long time periods and will reduce the need for costly human monitoring on the ground. We will advance state-of-the-art AI approaches to combine different sources of data, including drones, satellite, survey data, reports and social media, that are robust to a range of environmental scenarios, data noise and model reliability, providing estimates with appropriate levels of uncertainty.

A recent report, ‘Biodiversity and Artificial Intelligence. Opportunities & Recommendations for Action‘, offers actionable recommendations for how governments, NGOs, researchers and companies can use AI to support biodiversity conservation. These recommendations were developed following extensive consultation with a broad community of stakeholders.

Read the full report (PDF)