This workshop was part of the Isaac Newton Institute programme on The mathematical and statistical foundation of future data-driven engineering:
https://www.newton.ac.uk/event/dde/
In tandem with the workshop on Computational Challenges and Emerging Tools, this week-long workshop focused on algorithms and methodology to address key tasks in data-driven engineering, including:
- data assimilation and statistical inverse problems,
- reinforcement learning and control,
- model order reduction,
- bridging mechanistic and data-driven models and methods.
A particular focus of this workshop was on the underlying mathematical and statistical foundations required to make computational tools efficient and transferable.
