16 mar 2026 - 18 mar 2026   [open in google calendar]

The workshop explores connections between optimal transport, rough analysis, and (S)PDEs. Optimal transport provides a powerful geometric and variational framework to quantify distances between probability measures, offering novel perspectives on the evolution of random fields. SPDEs, on the other hand, model dynamics driven by noise and uncertainty, capturing phenomena ranging from fluid dynamics to population models. By bridging these two areas, we aim to illuminate how transport-based metrics, gradient flows, and Wasserstein geometry can be employed to analyze well-posedness, stability, and long-time behavior of SPDEs.

Invited speakers

Beatrice Acciaio (ETH Zürich) Matthias Beiglböck (University of Vienna) Fabian Germ (TU Delft) Anastasiia Hraivoronska (Université Claude Bernard Lyon 1) Marius Lange (AI Center, ETH Zürich)

Chengcheng Ling (University of Augsburg)

Benjamin Robinson (University of Klagenfurt)

Dario Trevisan (Università di Pisa)

Máté Gerencsér (TU Vienna)

Lukas Anzeletti (TU Vienna)

Jiawei Li (University of Edinburgh)

Khoa Lê (University of Leeds)

Anna Shalova (University of Amsterdam)

Organizers: Oleg Butkovsky, Peter Friz, Helena-Katharina Kremp, Matthias Liero.

If you are interested in participating to the event, please fill in the registration form.

Deadline for application: 9 mar 2026.

• (workshop homepage)