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Simons Laufer Mathematical Sciences Institute (SLMath)

The summer school aims to expose participants to formal methods that can facilitate principled scientific discovery. The school will cover some of the basic automated statistical inference (in the form of machine learning techniques) and reasoning methods that are commonly used in scientific discovery, as well as novel techniques developed to tackle open questions and issues. This summer school will address novel computational methods for scientific discovery and focus on fusing axiomatic knowledge and experimental data to enable principled derivations of models of natural phenomena along with certificates of the consistency of these models with background knowledge specified as axioms.

Courses and Events for Math Students and Early Career Researchers,    Mathematical Physics

Home Workshop TDB Project Course – Ninth Edition: Thermodynamic Data Collection and Assessment Register for the event About the course The ninth edition of the annual NEA Thermochemical Database (TDB) Project course on the topic of thermodynamic data collection and assessment will take place in person on the 20 September 2025 at Le Méridien, New Orleans, US, in conjunction with the 19th Conference on the Migration of Actinides and Fission Products in the Geosphere. The course is designed to familiarise scientists with current NEA TDB activities and standards, provide an overview of data collection and analysis techniques and work through some real system examples to demonstrate the critical evaluation and data assessment process. Retaining high scientific standards for the collection, interpretation, critical review and application of thermodynamic data is a key goal of the NEA TDB, and helps assure that a strong scientific basis for the safety case is maintained to support international nuclear waste management options.

Nuclear Energy,    Training in Nuclear Technology