Learning Models by Making Them Interact

Explore a cutting-edge approach to modeling complex systems in this 42-minute lecture by Sebastian Reich at the Alan Turing Institute. Delve into the emerging paradigm of combining statistical inference, high-throughput computation, and physical laws to tackle challenges in various scientific fields. Learn how to reduce complex models to a manageable number of variables for practical computation and accurate prediction. Discover powerful statistical approaches based on large-scale data analysis that are revolutionizing model development. Examine applications in collective dynamics, molecular modeling, cell biology, and fluid dynamics. Gain insights into the mathematical foundations of this innovative modeling approach and its potential to transform scientific research across disciplines.

Sebastian Reich (DDMCS@Turing): Learning models by making them interact