Which element/part of the semester program did you participate in? I participated in all the events of the Research Program on Polynomial Optimization and Applications, which consisted of 3 workshops ...
In the first half of 2026, the following team of researchers will organize the Semester Programme "Democratising Real-World Problem Tailored Optimisation": Vanessa Volz (CWI), Anton Bouter (CWI), ...
Uncertainty quantification (UQ) aims at establishing the reliability of predictions made by computational models. Such models are often fully deterministic, yet are used to make predictions of an ...
Machine Learning is a key enabler of advances in science, industry and society. In fact, machine learning methods touch nearly all aspects of our physical and online experience. As such, the design ...
This semester programme aims to combine optimization and machine learning, in order to develop data-centric methods attaining both performance guarantees and explainability. This includes the design ...
Control theory and reinforcement learning converge on a shared objective: facilitating autonomous, real-time decision-making to optimize dynamical processes. Historically, these disciplines have ...
The Scientific Computing group at CWI organizes a research semester programme on the emerging field of Scientific Machine Learning (SciML). SciML lies at the intersection of Scientific Computing and ...
How do misinformation and hate speech fuel and influence each other? How can sustainable and FAIR data (Findable, Accessible, Interoperable and Reusable) be developed to independently investigate ...
PhaseCAP invokes the theory of phase transitions from statistical physics for insights into fundamental problems in Combinatorics, Algorithms, and Probability. PhaseCAP research semester programme ...