Workshop
AI for Public Health
Bryan Wilder · Ioana Bica · Marie-Laure Charpignon · Emma Pierson
Fri 7 May, 5:55 a.m. PDT
The COVID-19 pandemic has cast a spotlight on the importance of public health. Even beyond this current emergency, public health is an essential component of population-level wellbeing. Topics such as infectious disease surveillance and control, preventative health, behavioral and mental health, maternal and child wellbeing, and more all play a crucial role in society. Moreover, a range of applications in public health benefit from careful use of data to uncover outbreak dynamics, learn patterns of behavior, optimize the design of interventions, and more. The science of machine learning in a public health context is still rapidly developing, and our aim is to build a community encompassing researchers based in both machine learning and public health to address these shared questions.
Schedule
Fri 5:55 a.m. - 6:00 a.m.
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Introductory remarks
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Introductory remarks
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Fri 6:00 a.m. - 6:45 a.m.
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Invited talk by Aisha Walcott
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Invited talk
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SlidesLive Video |
Aisha Walcott-Bryant 🔗 |
Fri 6:45 a.m. - 7:00 a.m.
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Q&A with Aisha Walcott
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Q&A
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Aisha Walcott-Bryant 🔗 |
Fri 7:00 a.m. - 7:05 a.m.
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Transition/contributed talks introduction
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Moderator introduces contributed talks
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Fri 7:05 a.m. - 7:15 a.m.
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Multilingual Medical Question Answering and Information Retrieval for Rural Health Intelligence Access
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Contributed Talk
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SlidesLive Video |
Vishal Vinod 🔗 |
Fri 7:15 a.m. - 7:25 a.m.
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A Deep Variational Approach to Clustering Survival Data
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Contributed Talk
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SlidesLive Video |
Laura Manduchi 🔗 |
Fri 7:25 a.m. - 7:35 a.m.
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Network Group Testing
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Contributed Talk
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SlidesLive Video |
Paolo Bertolotti 🔗 |
Fri 7:35 a.m. - 7:45 a.m.
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Online sentiment and reactions to posts on Facebook: leading indicators for state-level COVID-19 confirmed cases
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Contributed Talk
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SlidesLive Video |
Rong-Ching Chang 🔗 |
Fri 7:45 a.m. - 7:55 a.m.
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Q/A session with contributed talk presenters
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Q/A
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Vishal Vinod · Laura Manduchi · Paolo Bertolotti · Rong-Ching Chang 🔗 |
Fri 8:00 a.m. - 8:03 a.m.
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Transition/introduction
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Introduction for Nuria Oliver
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Fri 8:03 a.m. - 8:45 a.m.
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Data Science to fight against COVID-19 by Nuria Oliver
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Invited talk
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SlidesLive Video |
Nuria Oliver 🔗 |
Fri 8:45 a.m. - 9:00 a.m.
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Q&A with Nuria Oliver
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Q&A
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Nuria Oliver 🔗 |
Fri 9:00 a.m. - 10:00 a.m.
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Poster Session ( Poster Session ) > link | 🔗 |
Fri 10:00 a.m. - 10:03 a.m.
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Transition/introduction
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Introduction for Suvrit Sra
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Fri 10:03 a.m. - 10:45 a.m.
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Invited talk by Suvrit Sra
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Invited talk
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Suvrit Sra 🔗 |
Fri 10:45 a.m. - 11:00 a.m.
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Q&A with Suvrit Sra
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Q&A
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Suvrit Sra 🔗 |
Fri 11:00 a.m. - 11:15 a.m.
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Break
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Fri 11:15 a.m. - 12:00 p.m.
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Panel
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Panel
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Fri 12:00 p.m. - 12:05 p.m.
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Transition/contributed talks introduction
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Transition/contributed talks introduction
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Fri 12:05 p.m. - 12:15 p.m.
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Creating a health taxonomy with social media
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Contributed Talk
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SlidesLive Video |
Sanja Šćepanović 🔗 |
Fri 12:15 p.m. - 12:25 p.m.
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A Bayesian Optimization Approach to Estimating Expected Match Time and Organ Quality in Kidney Exchange
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Contributed Talk
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SlidesLive Video |
Naveen Durvasula 🔗 |
Fri 12:25 p.m. - 12:35 p.m.
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Inference in Network-based Epidemiological Simulations with Probabilistic Programming
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Contributed Talk
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SlidesLive Video |
Niklas Smedemark-Margulies 🔗 |
Fri 12:35 p.m. - 12:45 p.m.
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Co-clustering of evolving count matrices in pharmacovigilance with the dynamic latent block model
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Contributed Talk
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SlidesLive Video |
Giulia Marchello 🔗 |
Fri 12:45 p.m. - 12:55 p.m.
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Q/A session with contributed talk presenters
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Q/A
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Sanja Šćepanović · Naveen Durvasula · Niklas Smedemark-Margulies · Giulia Marchello 🔗 |
Fri 12:55 p.m. - 1:00 p.m.
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Break before poster session
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Fri 1:00 p.m. - 2:00 p.m.
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Poster Session ( Poster Session ) > link | 🔗 |
Fri 2:00 p.m. - 2:03 p.m.
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Transition/introduction
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Introduction for Susan Murphy
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Fri 2:03 p.m. - 2:45 p.m.
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Invited talk by Susan Murphy
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Invited talk
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Susan Murphy 🔗 |
Fri 2:45 p.m. - 3:00 p.m.
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Q&A with Susan Murphy
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Q&A
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Susan Murphy 🔗 |