COVID-19 has brought out the need for and the benefits of computational approaches to forecast and control epidemics. While computer science researchers and advanced graduate students are pursuing research in Computational Epidemiology, the topic has not received much attention from the perspective of Computer Science education. This SIGCSE 2024 affiliated event will provide an overview of the topic of Computational Epidemiology and discuss how computer science techniques are useful in the study of epidemics. It will point out how various subtopics in Computational Epidemiology can be integrated into Computer Science courses at undergraduate and graduate levels. The presenters will also discuss how models and techniques developed in the context of epidemics can be used to study other contagion phenomena (e.g., social behavior, financial contagions, political unrest) propagating over networks. In addition, the discussion will provide pointers to educational materials and software tools that will be useful to instructors who plan to develop new courses (or modules) on Computational Epidemiology and related topics.

Additional information can be found here: https://computational-epidemiology.org/

Please register for this event using this link: https://virginia.zoom.us/meeting/register/tJErde6vpjMoHN1fERGorV07fBWc3DMFN6Wr