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Coffee and Check In
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Opening Remarks
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Epidemic Models with Manual and Digital Contact Tracing
Tom Britton (Stockholm University/Simons Institute)
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Break
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Algorithms Using Local Graph Features to Predict Epidemics
Yeganeh Alimohammadi (Stanford)
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Lunch
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Functional Law of Large Numbers and PDEs for Spatial Epidemic Models with Infection-age Dependent Infectivity
Etienne Pardoux (Aix Marseille Univ)
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Coffee Break
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Random Walks on Simplicial Complexes for Exploring Networks
Viet Chi Tran (Université Gustave Eiffel)
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Reception
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Coffee and Check In
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Efficient and Targeted COVID-19 Border Testing via Reinforcement Learning
Hamsa Bastani (UPenn)
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Break
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Mathematics of the COVID-19 Pandemics: Lessons Learned and How to Mitigate the Next One
Abba Gumel (University of Maryland)
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Lunch
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The Effect of Restrictive Interactions between Susceptible and Infected Individuals on the Prognosis of an Epidemic
Shirshendu Chatterjee (City University of New York)
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Break
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Between-host, within-host Interactions in Simple Epidemiological Models
Jorge Velasco-Hernández (Universidad Nacional Autónoma de México)
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Coffee and Check In
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Dynamical Survival Analysis: Survival Models for Epidemic
Grzegorz Rempala (The Ohio State University)
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Break
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Complex Contagions and Hybrid Phase Transitions
Joel Miller (La Trobe University)
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Lunch
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Testing, Voluntary Social Distancing, and the Spread of an Infection
Ali Makhdoumi (Duke University)
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Break
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Likelihood-based Inference for Stochastic Epidemic Models
Jason Xu (Duke)
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Coffee and Check In
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Bayesian Learning in Social Networks
Ilan Lobel (NYU)
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Break
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Just a Few Seeds More: The Inflated Value of Network Data for Diffusion. with Suraj Malladi and Amin Saberi
Mohammad Akbarpour (Stanford)
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Lunch
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Learning through the Grapevine and the Impact of the Breadth and Depth of Social Networks
Suraj Malladi (Cornell University)
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Break
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Diversity and Inequality in Information Diffusion on Social Networks
Ana-Andreea Stoica (Columbia)
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Coffee and Check In
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A Global Comparison of COVID-19 Variant Waves and Relationships with Clinical and Demographic Factors
Sara del Valle (Los Alamos National Laboratory)
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Break
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Spatial Spread of Dengue Virus: Appropriate Spatial Scales for Transmission
Alun L. Lloyd (North Carolina State University)
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Lunch
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Transmission Neural Networks: From Virus Spread Models to Neural Networks
Shuang Gao (McGill University)
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Break
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Uncertainty, Heterogeneity and the Reproductive Number
Claire Donnat (University of Chicago)