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Artificial Intelligence (AI) and Machine Learning (ML) methods are becoming increasingly important in both science and society. In climate science - where complex biophysical and societal processes interact across diverse temporal and spatial scales, and datasets are often large, heterogenous and incomplete - AI and ML methods offer new powerful solutions.

IIASA Director General Hans Joachim (John) Schellnhuber will take part in the next Ö1 Publikumsgespräch in Vienna. On Thursday, 18 September 2025, he will join architect Markus Zilker for a public conversation on the theme, Sustainable building: using wood as a building material, moderated by Ö1 science editor Juliane Nagiller.

This session of the popular Tipping points webinar series will explore dampening effects on positive social tipping points and strategies to reduce them as part of a series that aims to advance the knowledge about tipping points, irreversibility, and abrupt changes in the Earth system. 

A new IIASA-led study for the first time maps safe areas that can practically be used for underground carbon storage, and estimates that using them all would only cut warming by 0.7°C. The result is almost ten times lower than previous estimates of around 6°C, which considered the total global potential for geological storage, including in risky zones, where storing carbon could trigger earthquakes and contaminate drinking water supplies. The study shows geological storage is a scarce, finite resource and warn countries must use it in a highly targeted way.

A new cohort of students successfully completed IIASA’s second Summer School for Systems Modeling. Held on 7-18 July 2025, the program brought together 28 participants from 15 countries. The two-week course convened bachelor, master’s, and PhD students, as well as post-doctoral researchers and experienced systems scientists, all seeking to deepen their understanding of IIASA models – their application, development, and optimization.

As global temperatures approach the 1.5°C threshold, understanding the risks of climate overshoot has become an urgent scientific and policy challenge. From 30 September to 2 October 2025, IIASA will host the first-ever Overshoot Conference at the conference center in Laxenburg, Austria, offering a space for interdisciplinary dialogue among researchers, communicators, and policymakers.

Artificial Intelligence (AI) and Machine Learning (ML) methods are becoming increasingly important in both science and society. In climate science - where complex biophysical and societal processes interact across diverse temporal and spatial scales, and datasets are often large, heterogenous and incomplete - AI and ML methods offer new powerful solutions.

Capacity building and early career opportunities currently available at IIASA.

Open EO data and open source software as a foundation for monitoring the European Green Deal

The Intergovernmental Panel on Climate Change (IPCC) has announced the author teams for its Seventh Assessment Report (AR7). With three Coordinating Lead Authors and eleven Lead Authors across all three IPCC Working Groups, IIASA experts will play a key part in delivering the best available knowledge to guide effective, equitable, and urgently needed climate action over the coming decade.