CSH Webtalk by Dirk Brockmann: “Understanding the Covid-19 pandemic—Math, models, mobility and taking a Nation’s temperature”

Dec 18, 2020 | 15:0016:00

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Dirk Brockmann will present an online talk within the seminar “Analysis of Complex Systems” on Friday, December 18, 2020 via Zoom.


If you would like to attend, please email office@csh.ac.at 



“Understanding the Covid-19-Pandemic—Math, Models, Mobility and Taking a Nation’s Temperature”



I will give a summary on and provide insights to scientific activities we designed and are still engaged into understand the dynamics of the ongoing COVID-19-pandemic. These activities include


  • the application of computational models that we used to predict the global dissemination of the virus during the early phase
    of the pandemic,
  • the discovery of universal sub-exponential growth regimes in the first epidemic wave in China and other countries and a theoretical model that explains these observations by accounting for systematic behavioral changes in the population,
  • a nationwide high-resolution mobility monitor that we developed in Germany, that quantifies how much and in what way mobility was affected during lockdown periods, and
  • a participatory experiment that we launched in March 2020 that involves >500,000 participants that donate resting heart rate, physical activity and sleep data by means of their smartwatches and based on which we designed and implemented a national fever thermometer to detect and predict the time course of confirmed cases of COVID-19 in Germany and that is now used as an important surveillance data stream for the federal COVID-19 situation analysis.



About Dirk Brockmann:

Prof. Dirk Brockmann is a pioneer in the scientific use of Big Data and epidemiological modelling.


He has his own lab, the “Brockmann Lab,” at the Institute for Theoretical Biology / Humboldt University, in Berlin in cooperation with the Robert Koch Institute (RKI).


At the RKI, Dirk Brockmann leads the project group “Computational Epidemiology.”


Dec 18, 2020


Complexity Science Hub Vienna