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Research of the Computational Social Science (COSS) group 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. social, data, computational and complexity science), and
3. bridging between fundamental and applied work.
The research focus has quickly moved from studying pedestrian crowds and vehicle traffic to studying social coordination, cooperation, norms, and conflicts, collective opinion formation, and the wisdom of crowds. The team uses methods such as evolutionary game theoretical modelling, agent-based computer simulations, as well as lab and web experiments. The COSS team is also interested in systemic risk and resilience, the importance of complexity science for digital models of the world, the ethics of smart cities, digital democracy, and the development of a socio-ecological finance system («Finance 4.0», «FIN4+»).
The Computational Social Science (COSS) team publishes in highly competitive journals, enjoys an international reputation, and has raised substantial research funds. In particular, it has recently won its second ERC Advanced Investigator Grant.
Research of the Computational Social Science (COSS) group 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. social, data, computational and complexity science), and
3. bridging between fundamental and applied work.
The research focus has quickly moved from studying pedestrian crowds and vehicle traffic to studying social coordination, cooperation, norms, and conflicts, collective opinion formation, and the wisdom of crowds. The team uses methods such as evolutionary game theoretical modelling, agent-based computer simulations, as well as lab and web experiments. The COSS team is also interested in systemic risk and resilience, the importance of complexity science for digital models of the world, the ethics of smart cities, digital democracy, and the development of a socio-ecological finance system («Finance 4.0», «FIN4+»).
The Computational Social Science (COSS) team publishes in highly competitive journals, enjoys an international reputation, and has raised substantial research funds. In particular, it has recently won its second ERC Advanced Investigator Grant.
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SSRN Electronic Journal (2024)
Ethics and Information Technologyno. 1 (2024): 1-11
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2024): 104511
Javier Argota Sánchez-Vaquerizo,Carina I. Hausladen,Sachit Mahajan, Marc Matter, Michael Siebenmann, Michael A. B. van Eggermond,Dirk Helbing
Scientific Reportsno. 1 (2024): 1-18
Scientific reportsno. 1 (2024): 9883-9883
arxiv(2024)
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Andrea Musso,Dirk Helbing
crossref(2024)
Javier Argota Sánchez-Vaquerizo,Carina Ines Hausladen,Sachit Mahajan, Michael Matter, Michael Siebenmann,Michael A.B. van Eggermond,Dirk Helbing
Social Science Research Network (2023)
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