Together with Dominique Heitz and Mireille Bossy, we are organising the SITOC workshop “Stochastic Processes and Inference for Turbulence and Other Complex Systems” at the Institut Henri Poincaré (Paris), 8–11 February 2027.
The event has two complementary parts:
- 8–9 February — STOCHASTICA: computational methods and statistical inference for stochastic differential equations.
- 10–11 February — RedLUM: stochastic modelling, reduced order models, and inference for fluid mechanics and turbulent flows, including data assimilation, Bayesian inference, uncertainty quantification, and generative and hybrid approaches.
The event will bring together researchers working on stochastic processes, computational methods, statistical inference, and their applications to complex systems. It combines two complementary parts: a first workshop organised within Working Group 3 of the European COST Action STOCHASTICA, focusing on computational methods and statistical inference for stochastic differential equations, and a second workshop organised within the French ANR project RedLUM, focusing on stochastic modelling and inference for fluid mechanics and turbulent flows.
The RedLUM programme will cover a broad range of approaches, including reduced-order modelling, data assimilation, Bayesian inference, uncertainty quantification, generative models, and data-driven, physics-driven, and hybrid methods. Our aim is to bring together researchers developing mathematical and computational methods with researchers tackling challenging problems in fluid dynamics and turbulence.