Complexity and Global Systems Science
Spring Semester 2017
This is the website for the course entitled "Complexity and Global Systems Science" which commences in the spring semester of 2017. The lectures take place every Monday from 15.15 to 16.45 pm in room CLU C1. Course material for students will be published below. More detailed information about the course may be found here.
The specialized PhD seminar aims at three-fold integration:
1) bringing modeling and computer simulation of techno-socio-economic processes and phenomena together with related empirical, experimental, and data-driven work,
2) combining perspectives of different disciplines (e.g. sociology, computer science, physics, complexity science, engineering),
3) bridging between fundamental and applied work.
Participants of the seminar should understand how tightly connected systems lead to networked risks, and why this can imply systems we do not understand and cannot control well, thereby causing systemic risks and extreme events.
They should also be able to explain how systemic instabilities can be understood by changing the perspective from a component-oriented to an interaction- and network-oriented view, and what fundamental implications this has for the proper design and management of complex dynamical systems.
Computational Social Science and Global Systems Science serve to better understand the emerging digital society with its close co-evolution of information and communication technology (ICT) and society. They make current theories of crises and disasters applicable to the solution of global-scale problems, taking a data-based approach that builds on a serious collaboration between the natural, engineering, and social sciences, i.e. an interdisciplinary integration of knowledge.
Course material is intended for personal use in the context of this course only; redistributing, citing or publishing any of the material is strictly prohibited. If prompted, please enter your ETH username and password to download course materials.
|20.02.||Complexity and GSS|
|27.02.||Complex Networks: Introduction|
|06.03.||Stefano Duca & Kaj Kolja Kleimberg
|20.03.||Matthias Leiss: Systematic Risk in Finance