Understanding the climate means understanding connections: how changes in the atmosphere, oceans and living systems influence one another, and how confidently we can interpret those links. The PGM-ESS 2026 workshop brought probabilistic modelling and Earth system science together in Valencia on 8 September 2026.

IE Research Datalab researcher Manuele Leonelli was listed among the organisers, alongside Gherardo Varando and Gustau Camps-Valls. The pre-conference workshop took place at the Universitat de València’s Aulari Interfacultatiu and connected research in statistics, machine learning and causal inference with environmental questions.

The programme explored how graphical models can make dependencies and uncertainty explicit, from investigating the drivers of extreme events to supporting decisions about environmental risks. Invited talks addressed causal reasoning in Earth systems and causal machine learning for agriculture and food systems.

Official event programme and details.

Campus photograph: Almodojor uv, Campus de Burjassot, CC BY-SA 4.0. Cropped and incorporated into the Datalab card under the same licence. Illustrative campus photograph, not an event photograph.

Manuele Leonelli is a member of IE Research Datalab at IE University.