Regensburg 2019 – scientific programme

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TUT: Tutorials

TUT 2: Statistical Physics Methods for Data Science in Physics (joint session SOE/TUT/DY)

Sunday, March 31, 2019, 16:00–18:30, H3

Big Data is an ubiquitious buzzword, but beyond storing and processing large datasets, challenges in applications often lie in high-dimensional and nontrivial structures (= the content!) within the datasets. Artificial intelligence approaches, paired with statistical physics methods, can provide powerful tools which can go far beyond standard statistical methods. The tutorial gives an overview both on methods from stochastic blockmodeling, network analysis, inference and machine learning and on applications ranging from socioeconomic networks to biomolecular simulations. (Session organized by Jens Christian Claussen and Andreas Fery with the divisions of SOE, DY, BP and CPP.)

16:00 TUT 2.1 Tutorial: Statistical network inference and community detection — •Tiago Peixoto
16:50 TUT 2.2 Tutorial: Network filtering for big data — •Tiziana Di Matteo
17:40 TUT 2.3 Tutorial: Multiscale simulations of soft matter augmented by data-driven methods — •Tristan Bereau
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