Project Details
Projekt
Elucidating the interplay of COVID-19 epidemic and social dynamics via Internet media in Germany
Applicant
Professor Dr. Vitaly Belik
Subject Area
Public Health, Healthcare Research, Social and Occupational Medicine
Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing
Empirical Social Research
Epidemiology and Medical Biometry/Statistics
Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing
Empirical Social Research
Epidemiology and Medical Biometry/Statistics
Term
from 2021 to 2023
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 458528774
In the present project, we want to use internet media sources (Twitter, Telegram, Youtube, news media) to understand the driving mechanisms behind COVID-19-related social dynamics in Germany and how they interact with the epidemic. To this end, we use the methods of data mining, network analysis, and natural language processing to develop quantitative models of coupled social and epidemiological dynamics. The models are used to propose recommendations for effective and targeted communication and control measures.
DFG Programme
Research Grants
International Connection
USA
Cooperation Partner
Professor Dr. Alexander Semenov, Ph.D.
