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

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.

Building open-source tools to benchmark AI models in sustainability report analysis, with focus on detecting greenwashing and improving transparency.

Introducing Carbonara, a carbon tracking tool for sustainable software engineering.

Building a collaborative research community to advance AI-powered climate fact-checking through interdisciplinary partnerships and open science.

Developing AI-powered tools and training programs to help farmers adapt to climate change through data-driven decision making and regenerative farming practices.

Using AI to distinguish between compliant and non-compliant companies in carbon emission reporting, revealing evasion tactics and regulatory gaps.

A research initiative investigating how bureaucracy shapes democratic processes and climate action.

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.