CIBCB 2021
2nd Special Session on Computational Intelligence For Epidemiology
Description:
The study of epidemics is of crucial importance at the current time as we examine not only the current ongoing actions, but how to better supply information and tools to policy leaders. We welcome not only those papers looking at COVID, but that expand on other diseases and look to the next possible outbreak.
High-quality papers studying the use of computational intelligence, or other forms of artificial intelligence, for any aspect relating to this area are solicited. Topics of interest include, but are not limited to, the application of computational intelligence to the following:
- Epidemic modelling
- Epidemic models dealing with incomplete or inconsistent information
- Treatment strategies
- Immunology
- Public health decision support
- Molecular modeling for vaccines and treatment development
- Community detection in networks
- Pandemic management modeling for transportation and supply networks
- Techniques for network analysis
- Techniques for network synthesis from data
- Intelligent management and support for contact tracing
- Policy communications methods
All papers will be fully refereed and will appear as part of the conference proceedings on IEEExplore. In addition, non-refereed late-breaking abstracts (max 2 pages) will be welcomed. Please refer to the conference website (https://federation.edu.au/cibcb2021) for further information concerning deadlines, submission information, and journal special issues.

Co-organizers:

Joseph Alexander Brown
Artificial Intelligence in Games Development Lab
Innopolis University, Russian Federation.
Email: j.brown@innopolis.ru

Sheridan Houghten
Department of Computer Science
Brock University, Canada.
Email: shoughten@brocku.ca