Helbing, Dirk, Prof. Dr.

Prof. Dr. Dirk Helbing

Computational Social Science 

CLU  E 1 

Clausiusstrasse 50

8092 Zürich

Switzerland

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Additional information

Research area

Research at the Professorship of Computational Social Science aims at three-fold integration:
(1) bringing modeling and computer simulation of social processes and phenomena together with related empirical, experimental, and data-driven work,
(2) combining perspectives of different scientific disciplines (e.g. socio-physics, social, computer and complexity science), 
(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, 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. The analysis of Big Data, cultural science, real-time data mining ("Nervousnet", "Planetary Nervous System"), the creation of self-organizing systems, innovation and the investigation how science works, are further subjects of interest ("Innovation Accelerator"). The COSS team is also engaged in the study of systemic risks, and possible measures of risk reduction and disaster response, including earthquake resilience and advice on epidemic spreading.

Course Catalogue

Prof. Dirk Helbing
Prof. Dirk Helbing (Photo by Davide Caenaro)

Curriculum Vitae

Dirk Helbing is Professor of Computational Social Science at the Department of Humanities, Social and Political Sciences and affiliate of the Computer Science Department at ETH Zurich. In January 2014 Prof. Helbing received an honorary PhD from Delft University of Technology (TU Delft). Since June 2015 he is affiliate professor at the faculty of Technology, Policy and Management at TU Delft, where he leads the PhD school in "Engineering Social Technologies for a Responsible Digital Future".

Dirk Helbing started as a physicist. With his diploma thesis, he initiated the area of pedestrian, crowd, and evacuation modeling and simulation. During his PhD and habilitation in physics, he helped to establish the fields of socio-, econo- and traffic physics. He was also co-founder of the Physics of Socio-Economic Systems Division of the German Physical Society (DPG). As a visiting scientist at Tel Aviv University and the Weizmann Institute in Israel, the Eötvös University in Budapest, and Xerox PARC in California, he focused on various complex systems - from panicking pedestrians to traffic jams, and from bacterial patterns to La Ola waves. At Dresden University of Technology he became the Managing Director of the Institute of Transport & Economics, worked on traffic assistant systems (i.e. early self-driving cars) and a self-organized traffic light control system, which got patented. He discovered that crowd disasters are caused by a phenomenon called crowd turbulence and worked on ways to describe, reduce and respond to disasters. As professor of Sociology at ETH Zurich, he worked on evolutionary game theory and agent-based computer simulations of social processes and phenomena. 

The work of Prof. Helbing is documented by hundreds of media reports and publications, among them more than 10 papers in Nature, Science, and PNAS. He won various prizes, including the Idee Suisse Award. He co-founded the Competence Center for Coping with Crises in Complex Socio-Economic Systems, the Risk Center, the Institute for Science, Technology and Policy (ISTP) and the Decision Science Laboratory (DeSciL). While coordinating the FuturICT initiative (www.futurict.eu), he helped to establish data science and computational social science in Europe, as well as global systems science. A further result is the Nervousnet platform (nervousnet.info). Helbing is an elected member of the German Academy of Sciences "Leopoldina" and the World Academy of Art and Science. He worked for the World Economic Forum’s Global Agenda Council on Complex Systems. He was elected member of the External Faculty of the Santa Fe Institute and now belongs to the External Faculty of the Complexity Science Hub Vienna. He sits in the Boards of the Global Brain Institute in Brussels and the International Centre for Earth Simulation in Geneva. Recently, he is also involved in the area of Citizen Science, the activities of the "Staatslabor" (a Swiss gov.lab) as well as the establishment of the Blockchain [X] initiative and the Blockchain Lab in Delft. Last but not least, he is also a member of federal and academy-of-science committees addressing the digital transformation of our society.

Publications

Optimal incentives for collective intelligence.
Richard P. Mann, and Dirk Helbing
Proceedings of the National Academy of Sciences of the United States of America: PNAS, (2017) Washington, D.C.: National Academy of Sciences.
SFINA - Simulation Framework for Intelligent Network Adaptations.
Evangelos Pournaras, Ben-Elias Brandt, Manish Thapa, Dinesh Acharya, Jose Espejo-Uribe, Mark Ballandies, and Dirk Helbing
Simulation Modelling Practice and Theory, (2017) Amsterdam: Elsevier.
Will Democracy Survive Big Data and Artificial Intelligence?
Dirk Helbing, Bruno S. Frey, Gerd Gigerenzer, Ernst Hafen, Michael Hagner, Yvonne Hofsteter, Jeroen van den Hoven, Roberto V. Zicari, and Andrej Zwitter
Scientific American, (2017) New York: American Scientific.
From remote-controlled to self-controlled citizens.
Dirk Helbing
European Physical Journal: Special Topics, (2017) Les Ulis: EDP Sciences.
Engineering Democratization in Internet of Things Data Analytics.
Evangelos Pournaras, Jovan Nikolic, Alex Omerzel, and Dirk Helbing
Proceedings of the 31st IEEE International Conference on Advanced Information Networking and Applications-AINA 2017, (2017) Piscataway, NJ: IEEE.

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