| Virtual Workshop: Mathematical Models for Prediction and Control of EpidemicsAugust 12-14, 2020
Organizers: Christian Borgs (University of California, Berkeley), Abba Gumel (Arizona State University), Maya Petersen (University of California, Berkeley), Amin Saberi (Stanford University), Katherine Yelick (University of California, Berkeley; Lawrence Berkeley Laboratory)
This virtual workshop will bring together researchers from epidemiology, global health, and mathematics to discuss challenges in developing predictive models for epidemics as well as policies and algorithmic solutions for their control and mitigation. It will thus give the mathematical community access to some of the challenging issues and mathematical problems in the field.
The workshop will start with 3-4 speakers who will present some of the models currently in use, with their virtues and shortcomings. In the afternoon, a panel will discuss policy implications and what policy makers still need from modelers. The second day will focus on control and mitigation strategies, touching on themes like social distancing, optimal testing, and contact tracing. On day three, we will discuss various mathematical problems related to what we discussed on day one and two – this will be the day where speakers won’t be shy to use the words theorem and proof, or utter the sentence “Unfortunately, we don’t yet have the faintest idea how to prove this.” We finish the day (and the workshop) with a discussion of open problems, and the role mathematics has to play in modeling and controlling epidemics.
If you would like to participate, please fill out the online registration form. Registration is required in order to receive the Zoom link and password to attend this event.
This event will take place during business hours (US Pacific Time and/or US Eastern Time) via Zoom. Full schedule details will be updated on the event webpage prior to the workshop. This event is free of charge and open to all interested researchers. |
