Data science and the COVID-19 pandemic – What have we learned so far?

The CASUS Workshop with the topic “Data science and the COVID-19 pandemic – What have we learned so far?” will be held as an on-site event from 5 until 7 June 2023.

After the last workshop’s success with more than 200 registrations and up to 90 simultaneous followers of the live-stream, the Data science/COVID-19 pandemic workshop will return to a more classic face-to-face format.

We will present top speakers from the fields of data science, data analyses, modeling and intervention strategies, who work on various aspects of the SARS-CoV-2 pandemic. Participants have the possibility to showcase their work in poster sessions or flash talks. The event aims to maximize the space for interaction among and between speakers and participants by organizing panel discussions and social events as well as by giving ample time for discussion after the invited talks.

Registration

Please register here. Following this link you will also be provided with more information about Görlitz and the event venue.

Topic

The SARS-CoV-2 pandemic has proven to be a systemic global crisis characterized by huge economic, social and ecological impacts. Consequently, an important research avenue is the development of a deeper understanding of how to increase coping capacities of nations facing pandemic crises in the future: What are the essential success factors in coping with the recent pandemic among nations? And how can coping capacities be increased in various national configurations to better handle similar future crises?

Answers to these questions can be extremely relevant for policy makers, health agencies, technology developers and also the responsible community leaders who plan prevention and intervention measures for similar future pandemics.

Numerous large and versatile data sets have become available worldwide. Advanced data science methods can be used to analyze them. Comprehensive and robust coupling of epidemiological and socio-economic model systems is possible. By bringing together experts from the fields of data science, data analyses, modeling and intervention strategies, the event organizers strive to tie down as many lessons learned as possible so that promising and urgent research avenues for the future can be identified.

Program

Please find the program here.

Book of Abstracts

Please find the Book of Abstracts here.

List of invited speakers

Prof. Sabine Attinger, Helmholtz Centre for Environmental Research − UFZ, Leipzig, Germany

Dr. Johannes Bracher, Karlsruhe Institute of Technology, Karlsruhe, Germany

Prof. Justin Calabrese, CASUS, Görlitz, Germany

Dr. Jeff Demers, University of Maryland, USA

Prof. Dr. Erik Gawel, Helmholtz Centre for Environmental Research − UFZ, Leipzig, Germany

Prof. Dr. Peter Horvath, Biological Research Centre, Szeged, Hungary

Prof. Dr. Tyll Krüger, Wrocław University of Science and Technology, Wrocław, Poland

Dr. Veronika Jäger, Münster University Medical Center, Münster, Germany

Dr. Berit Lange, Helmholtz Centre for Infection Research HZI, Braunschweig, Germany

Prof. Dr. Rafael Mikolajczyk, Halle University Medical Center, Halle (Saale), Germany

Prof. Dr. Kai Nagel, Technical University of Berlin, Berlin, Germany

Prof. Dr. Viola Priesemann, Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany

Prof. Dr. Magdalena Rosińska, National Institute of Public Health, Warsaw, Poland

Dr. Lennart Schüler, Helmholtz Centre for Environmental Research − UFZ, Leipzig, Germany

Dr.-Ing. Zoran Utkovski, Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Berlin, Germany

Dr. Artur Yakimovich, CASUS, Görlitz, Germany

Video playlists of the CASUS Annual Workshops 2020 and 2021

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Information about the 2021 CASUS Annual Workshop “Digital Twins of Complex Systems” and the 2020 CASUS Annual Workshop “Fusing Artificial Intelligence & Simulation”