Computational Social Science seminar series

Main content

Fall Semester 2016

The 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 scientific 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.

The seminar takes place every Monday from 15.15 to 16.30 in room RZ F 21. Course material for students will be published below. More detailed information about the course may be found here.

Readings

Important: 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.

The course will cover a range of topics in Computational Social Science. The following 5 core readings should give you a good first impression of the topic - we strongly recommend you to read them before the start of the class:

Please also note that there may be additional readings for some of the seminar presentations. Those will be linked directly from the course schedule below.

Course Schedule

Date Speaker Topic
26.09. Prof. Dr. Dr. Dirk Helbing
The Grand Transformation (PDF, 23.4 MB)
03.10. Dr. Rebekka Buchholz Systemic Risk: From Generic Models to Cascades in Food Trade (PDF, 59.1 MB)
10.10. Mr. Lucas Fiévet
The efficient market hypothesis in light of statistical learning (PDF, 2.8 MB)
17.10. Mr. Caleb Koch/Ms. Raquel Bruengger Koch: Mass media and policy change: Evidence from the European refugee crisis / Bruengger: Crime reduction through simulation: An agent-based model of burglary (PDF, 2.2 MB)
24.10. Dr. Karsten Donnay Computational Social Science - Novel approaches for substantive research
31.10. Dr. Juri Viehoff
Social Norms and Their Authority
07.11. Dr. Nino Antulov-Fantulin Contagion spreading on complex networks (PDF, 16.5 MB)
14.11. Dr. Sandra Andraszewicz Discovering the underpinnings of the financial markets mechanisms from behavioral studies
21.11. Dr. Armando Geller
Making do: Methodological considerations and case studies on impact assessment with scarce data
28.11. Dr. Ada Diaconsecu Goal-oriented Holonics: Managing System Complexity (PDF, 956 KB) via (Self-)integration and Multi-level Structural Constraints
05.12. Assessment Next semester preview, semester presentation assessments, begin Student presentations (10-12 minutes each)
12.12. Examination Student presentations (10-12 minutes each)
19.12. Mr. Herbert Saurugg Are we prepared for future shocks? (PDF, 4.3 MB) Challenges for society in the 21st century.
 
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