About COSS

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About COSS in wordcloud  
(About COSS in Tagul wordcloud, by Petra Parikova)

Researchers working at the Professorship of Computational Social Science (COSS) aim to integrate social research in three ways:

  1. by bringing modeling and computer simulation of social processes and phenomena together with related empirical, experimental, and data-driven work,
  2. by combining the perspectives of different scientific disciplines (e.g. socio-physics, social, computer and complexity science)
  3. by bridging fundamental and applied work.

The research focus has quickly moved from studying pedestrian crowds and vehicle traffic to social coordination, cooperation, norms, crime and conflict as well as collective opinion formation and the wisdom of crowds. 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 on stemming the spread of epidemics (ETH Risk Center, Cimplex).

Publication Topics

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Letters in Journals

See the full list of Data Science Publications

Letters in Journals

See the full list of Sociology Publications

Letters in Journals

Logistics and Production

Reviews

See the full list of New Economic Thinking Publications

Letters in Journals

Letters in Journals

Letters in Journals

See the full list of Networks Publications

Letters in Journals

See the full list of Pedestrians and Crowds Publications

Letters in Journals

See the full list of Vehicular Traffic Publications

 
 
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Wed Mar 22 14:33:28 CET 2017
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