851-0585-41L  Computational Social Science

SemesterAutumn Semester 2017
LecturersD. Helbing, K. K. Kleineberg, C. Koch
Periodicityevery semester recurring course
Language of instructionEnglish

Catalogue data

AbstractThe 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.
ObjectiveParticipants 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.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits3 credits
ExaminersD. Helbing, K. K. Kleineberg, C. Koch
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.
Additional information on mode of examinationStudents have to actively contribute to the Seminar and give a 30-60 Minute presentation on a subject agreed with the lecturer.

Learning materials

Main linkInformation
Only public learning materials are listed.


851-0585-41 SComputational Social Science Special students and auditors need a special permission from the lecturers.2 hrs
Mon15-17RZ F 21 »
D. Helbing, K. K. Kleineberg, C. Koch


No information on groups available.


General : Special students and auditors need a special permission from the lecturers

Offered in

Doctoral Department of Humanities, Social and Political SciencesDoctoral and Post-Doctoral CoursesWInformation
Environmental Sciences MasterTheoretical Foundations for Environmental PolicyWInformation