On Thursday, November 12 at 6pm, Associate Professor and Director of the Network Science PhD Program, Márton Karsai, will speak at the 2020 Celebration of Hungarian Science presented by the Hungarian Academy of Sciences.
During the event, which will be broadcast here, Karsai will illuminate research regarding network based data-driven modeling of epidemic spreading, especially focusing on models of the actual COVID-19 pandemic in Hungary.
This research, which is informing epidemic modeling, considers the age-stratified structure of people and the networks describing their spatial movement and mobility patterns. In the presentation, Karsai will cover simple infection models as well as data-driven models to highlight how data can be used for realistic modeling of social and biological spreading processes.
Karsai is part of the MASZK data collection and epidemiological modeling operation coordinated by the University of Szeged, which has been providing the Hungarian government with analysis of the possible courses that the pandemic might take. He also directs epidemic modelling research at the Rényi Institute of Mathematics, Hungarian Academy of Sciences, as the part of the DYNASNET ERC Synergy project.
You can read more about the group’s work on pandemic modeling here.