Podcasts by Center for Advanced Studies (CAS) Research Focus Quantitative Network Science (LMU) - SD
While the scientific disciplines in which networks occur are diverse, the needs for analysis are similar and may be dealt with by using the same or similar quantitative methods and models. These include methods and theories ranging from mathematical graph theory and statistical network models to visualization techniques in computer science. The Research Focus Quantitative Network Science intends to bundle the different activities within network science at the LMU Munich and brings together mathematicians, statisticians, and computer scientists with empirical scientists from a wide range of disciplines in order to advance the field of quantitative network science.
Further podcasts by Center for Advanced Studies (CAS)
Podcast on the topic Wissenschaft
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Model Risk, Solvency, and Risk Aggregation from 2018-08-07T14:41:39
Under both Basel II/III for banking as well as Solvency 2/SST for insurance, ModelRisk (MR), especially for Risk Aggregation purposes, plays an important role. In thistalk I will concentrate on D...
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Managing Systemic Risk in Financial Multilayer Networks from 2016-10-05T19:30
Systemic risk in financial markets arises largely because of the interconnectedness of agents through financial contracts. We show that the systemic risk level of every agent in the system can be q...
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How Do Neuronal Circuits Operate? from 2016-01-14T19:00
Brains are highly interconnected networks of millions to billions of neurons. How they work and how they process and store information − these questions are addressed differently by both speakers. ...
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