Research
The research focus has quickly moved from studying pedestrian crowds and vehicle traffic to studying social coordination, cooperation, norms, crime and conflict as well as collective opinion formation and the wisdom of crowds. For an overview of recent and past publications please refer to Publications. You can also access a list of Past projects and Research Initiatives.
The team uses methods such as evolutionary game theoretical modeling, agent-based computer simulations, as well as lab and web experiments (ERC Momentum, New Economic Thinking, Evolutionary Game Theory). The analysis of big data, cultural science, real-time data mining (Nervousnet), the creation of self-organizing systems, innovation and the analysis of how science works (PEERE), are further subjects of interest. The COSS team is also engaged in the study of systemic risk, and possible measures of risk reduction and disaster response, including earthquake resilience and advice stemming the spread of epidemics (ETH Risk Center, Cimplex).
For research of individual team members, please browse their profiles in the People category.
Projects
- chevron_right CoCi (Co-Evolving City Life)
- chevron_right DIT4Tram
- chevron_right HumanE AI Network
- chevron_right SNF Digital Democracy
- chevron_right SoBigData
- chevron_right SoBigData++
- chevron_right Finance 4.0
- chevron_right Research Initiatives
- chevron_right Digital Democracy old
- chevron_right Digital Democracy
Please visit Past Projects for an overview of completed research projects.
Please also visit News & Events for recent updates on the activities of the COSS team.
Contact
ETH Zurich
Computational Social Science
Stampfenbachstrasse 48
STD Building, F Floor
8092 Zürich, Switzerland