Workshops

Fall 2022

Epidemics and Information Diffusion

Oct 24, 2022 to Oct 28, 2022

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Monday, October 24th, 2022
9:00 am–9:25 am		Coffee and Check In
9:25 am–9:30 am		Opening Remarks
9:30 am–10:30 am		Epidemic Models with Manual and Digital Contact Tracing Tom Britton (Stockholm University/Simons Institute)
10:30 am–11:00 am		Break
11:00 am–12:00 pm		Algorithms Using Local Graph Features to Predict Epidemics Yeganeh Alimohammadi (Stanford)
12:00 pm–1:30 pm		Lunch
1:30 pm–2:30 pm		Functional Law of Large Numbers and PDEs for Spatial Epidemic Models with Infection-age Dependent Infectivity Etienne Pardoux (Aix Marseille Univ)
2:30 pm–3:00 pm		Coffee Break
3:00 pm–4:00 pm		Random Walks on Simplicial Complexes for Exploring Networks Viet Chi Tran (Université Gustave Eiffel)
4:00 pm–5:00 pm		Reception

Tuesday, October 25th, 2022
9:00 am–9:30 am		Coffee and Check In
9:30 am–10:30 am		Efficient and Targeted COVID-19 Border Testing via Reinforcement Learning Hamsa Bastani (UPenn)
10:30 am–11:00 am		Break
11:00 am–12:00 pm		Mathematics of the COVID-19 Pandemics: Lessons Learned and How to Mitigate the Next One Abba Gumel (University of Maryland)
12:00 pm–2:00 pm		Lunch
2:00 pm–3:00 pm		The Effect of Restrictive Interactions between Susceptible and Infected Individuals on the Prognosis of an Epidemic Shirshendu Chatterjee (City University of New York)
3:00 pm–3:30 pm		Break
3:30 pm–4:30 pm		Between-host, within-host Interactions in Simple Epidemiological Models Jorge Velasco-Hernández (Universidad Nacional Autónoma de México)

Wednesday, October 26th, 2022
9:00 am–9:30 am		Coffee and Check In
9:30 am–10:30 am		Dynamical Survival Analysis: Survival Models for Epidemic Grzegorz Rempala (The Ohio State University)
10:30 am–11:00 am		Break
11:00 am–12:00 pm		Complex Contagions and Hybrid Phase Transitions Joel Miller (La Trobe University)
12:00 pm–2:00 pm		Lunch
2:00 pm–3:00 pm		Testing, Voluntary Social Distancing, and the Spread of an Infection Ali Makhdoumi (Duke University)
3:00 pm–3:30 pm		Break
3:30 pm–4:30 pm		Likelihood-based Inference for Stochastic Epidemic Models Jason Xu (Duke)

Thursday, October 27th, 2022
9:00 am–9:30 am		Coffee and Check In
9:30 am–10:30 am		Bayesian Learning in Social Networks Ilan Lobel (NYU)
10:30 am–11:00 am		Break
11:00 am–12:00 pm		Just a Few Seeds More: The Inflated Value of Network Data for Diffusion. with Suraj Malladi and Amin Saberi Mohammad Akbarpour (Stanford)
12:00 pm–2:00 pm		Lunch
2:00 pm–3:00 pm		Learning through the Grapevine and the Impact of the Breadth and Depth of Social Networks Suraj Malladi (Cornell University)
3:00 pm–3:30 pm		Break
3:30 pm–4:30 pm		Diversity and Inequality in Information Diffusion on Social Networks Ana-Andreea Stoica (Columbia)

Friday, October 28th, 2022
9:00 am–9:30 am		Coffee and Check In
9:30 am–10:30 am		A Global Comparison of COVID-19 Variant Waves and Relationships with Clinical and Demographic Factors Sara del Valle (Los Alamos National Laboratory) presenting Virtually
10:30 am–11:00 am		Break
11:00 am–12:00 pm		Spatial Spread of Dengue Virus: Appropriate Spatial Scales for Transmission Alun L. Lloyd (North Carolina State University)
12:00 pm–2:00 pm		Lunch
2:00 pm–3:00 pm		Transmission Neural Networks: From Virus Spread Models to Neural Networks Shuang Gao (McGill University)
3:00 pm–3:30 pm		Break
3:30 pm–4:30 pm		Uncertainty, Heterogeneity and the Reproductive Number Claire Donnat (University of Chicago)