First Call to Arms Workshop

Organizer - Prof. Ness Shroff, Ohio State University

The NeTS Community Workshop aims to help spark research across the NSF NeTS Community on how to most effectively model, analyze, predict to help mitigate the spread of COVID-19. The workshop will be organized across three inter-related panels: (1) Modeling and Prediction of virus spread, resources needed, and effectiveness of containment strategies; (2) Resource Constrained Testing in order to most effectively halt the spread of the virus, predict infection history, and testing models themselves; (3) Adaptive Interventions from limited data, impact of distributed policies, and predicting high risk individuals in advance.

Recording of the workshop

Introduction (10:00AM—10:15AM)

• Alex Sprinston (NSF)

• Ness Shroff (OSU)

Panel 1: Modeling and Prediction (10:15AM—12:00PM)

• R. Srikant, "Network Models of Epidemics: Relevance, Limitations & Validation," Electrical & Computer Engineering, University of Illinois, Urbana Champaign (Moderator)

• Carolyn Beck, "Epidemic processes and network structure," Industrial and Enterprise Systems Engineering, University of Illinois, Urbana Champaign

• Misha Chertkov, "Modeling, Learning and Controlling spread of COVID-19,” Applied Mathematics, University of Arizona

• Ayaz Hyder, "Models, Data, Sensing, and “Smart” to Solve Public Health Crisis (COVID-19 and Opioids),” College of Public Health, The Ohio State University

• Eytan Modiano, "Modeling and mitigating cascades in networks: From the power grid to COVID-19," Aerospace Engineering, Massachusetts Institute of Technology

• Leandros Tassiulas, "Containment, mitigation and decision making strategies for COVID-19 in longer term," Electrical Engineering and Computer Science, Yale University

• Don Towsley, "On Modeling COVID-19," Computer Science, University of Massachusetts, Amherst

Lunch Break (12:00PM—1PM)

Panel 2: Resource Constrained Testing (1:00P—2:30PM)

• Ness Shroff, "A sequential learning based approach to COVID-19 testing," Electrical and Computer Engineering & Computer Science and Engineering, The Ohio State University (Moderator)

• Randy Berry, "Testing and Learning Epidemic Models," Electrical & Computer Engineering, Northwestern University

• William Miller, "Practical public health considerations of testing for SARS-CoV-2, Epidemiology, The Ohio State University

• Krishna Narayanan, “Accelerated Testing for COVID-19 using Group Testing," Electrical & Computer Engineering, Texas A&M University

• Lei Ying, "Reconstructing Infection History of COVID-19 with Limited Data", Electrical & Computer Engineering, University of Michigan

Virtual Coffee Break (2:30PM—3:00PM)

Panel 3: Adaptive Interventions (3:00PM—4:30PM)

• Sanjay Shakkottai, "Warm Starting Adaptive Interventions with Side Information from Confounded Logs," Electrical & Computer Engineering, University of Texas, Austin (Moderator)

• Jie Gao, "Network Analysis of Hubs and Diversities in Human Mobility for Slowing Down COVID-19 Spreading," Computer Science, Rutgers

• Mingyan Liu, "Every state for itself: patchwork of policies in connected communities and its impact on individual decision making," Electrical & Computer Engineering, University of Michigan, Ann Arbor

• Xin Liu, "Symptom tracking and adaptive interventions," Computer Science, University of California, Davis

• Yannis Paschalidis, "Learning predictive and prescriptive models from data," Electrical and Computer Engineering, Systems Engineering, and Biomedical Engineering, Boston University

Note: All times are based on Eastern Daylight Time.

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