Insights on Climate, Climate Risk, Adaptation and Artificial Intelligence (AI)

Open data for assessing nature-related physical risks and biodiversity.

Open data for environmental risk and sustainability reporting from UNEP WESR.

Open-access platform for exploring and visualizing climate and environmental datasets.

Climate+Tech FactChecker takes a major step toward democratizing climate fact-checking by integrating Ollama, enabling deployment of powerful open source language models for transparent and customizable verification of climate claims.

Climate+Tech launches an open source AI fact-checking system that combines multiple AI models to evaluate climate claims against scientific sources, achieving 85% agreement with expert consensus.

New research using machine learning and observational data shows regions will reach dangerous warming levels sooner than previously predicted.

An in-depth summary of the Nature Communications article on future precipitation changes, focusing on practical implications for policy and local administration.

Research demonstrates that AI-driven dialogues can significantly reduce belief in conspiracy theories, offering a promising tool for mitigating misinformation.

A study on assisted migration as a strategy to preserve the carbon sink function of European forests, highlighting the importance of species and seed provenance selection.

Join us in exploring the tactics companies use to evade carbon emission compliance and the implications for environmental policy, with expert insights from Lolie Cambolive.

The Carbon Footprint Modeling Tool is a pivotal innovation for environmental scientists, policymakers, and organizations, aiming to model and reduce carbon footprints through improved data transparency.