Workshop
AI for Public Health
Bryan Wilder · Ioana Bica · Marie-Laure Charpignon · Emma Pierson
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.
|
Introductory remarks
(
Introductory remarks
)
|
🔗 |
|
Fri 6:00 a.m. - 6:45 a.m.
|
Invited talk by Aisha Walcott
(
Invited talk
)
SlidesLive Video Aisha Walcott is a research scientist and manager at IBM Research Africa - Nairobi, Kenya. She leads a team of research scientists and engineers in the development of novel innovations in the Future of Health and Climate. She and her team leverage AI, Blockchain, and other technologies to create solutions to transform Health Systems, provide new tools for Population Health, and develop systems to support Water Access and Management particularly for emerging countries. When Aisha joined the IBM Research Africa lab, she led the research efforts to improve mobility and transportation in developing cities. She and her team developed innovative intelligent transportation systems data capture methods and analytical tools, to provide computational understanding about the local driving and infrastructure context. Aisha earned her PhD in the Electrical Engineering and Computer Science Department at MIT. |
Aisha Walcott-Bryant 🔗 |
|
Fri 6:45 a.m. - 7:00 a.m.
|
Q&A with Aisha Walcott
(
Q&A
)
|
Aisha Walcott-Bryant 🔗 |
|
Fri 7:00 a.m. - 7:05 a.m.
|
Transition/contributed talks introduction
(
Moderator introduces contributed talks
)
|
🔗 |
|
Fri 7:05 a.m. - 7:15 a.m.
|
Multilingual Medical Question Answering and Information Retrieval for Rural Health Intelligence Access
(
Contributed Talk
)
SlidesLive Video |
Vishal Vinod 🔗 |
|
Fri 7:15 a.m. - 7:25 a.m.
|
A Deep Variational Approach to Clustering Survival Data
(
Contributed Talk
)
SlidesLive Video |
Laura Manduchi 🔗 |
|
Fri 7:25 a.m. - 7:35 a.m.
|
Network Group Testing
(
Contributed Talk
)
SlidesLive Video |
Paolo Bertolotti 🔗 |
|
Fri 7:35 a.m. - 7:45 a.m.
|
Online sentiment and reactions to posts on Facebook: leading indicators for state-level COVID-19 confirmed cases
(
Contributed Talk
)
SlidesLive Video |
Rong-Ching Chang 🔗 |
|
Fri 7:45 a.m. - 7:55 a.m.
|
Q/A session with contributed talk presenters
(
Q/A
)
|
Vishal Vinod · Laura Manduchi · Paolo Bertolotti · Rong-Ching Chang 🔗 |
|
Fri 8:00 a.m. - 8:03 a.m.
|
Transition/introduction
(
Introduction for Nuria Oliver
)
|
🔗 |
|
Fri 8:03 a.m. - 8:45 a.m.
|
Data Science to fight against COVID-19 by Nuria Oliver
(
Invited talk
)
SlidesLive Video In my talk, I will describe the work that we have done as Commissioner on AI and COVID-19 for the President of the Valencian Region. Since March 2020, I have been leading a multi-disciplinary team of 20+ volunteer scientists been working on 4 large areas: (1) human mobility modeling; (2) computational epidemiological models (both metapopulation, individual and LSTM-based models); (3) predictive models; and (4) citizen surveys via the COVID19impactsurvey (https://covid19impactsurvey.org) with over 450,000 answers worldwide. I will describe the results that we have produced in each of these areas and will share the lessons learned in this very special initiative of collaboration between the civil society at large (through the survey), the scientific community (through the Expert Group) and a public administration (through the Commissioner at the Presidency level). |
Nuria Oliver 🔗 |
|
Fri 8:45 a.m. - 9:00 a.m.
|
Q&A with Nuria Oliver
(
Q&A
)
|
Nuria Oliver 🔗 |
|
Fri 9:00 a.m. - 10:00 a.m.
|
Poster Session
(
Poster Session
)
link
[ protected link dropped ] |
🔗 |
|
Fri 10:00 a.m. - 10:03 a.m.
|
Transition/introduction
(
Introduction for Suvrit Sra
)
|
🔗 |
|
Fri 10:03 a.m. - 10:45 a.m.
|
Invited talk by Suvrit Sra
(
Invited talk
)
|
Suvrit Sra 🔗 |
|
Fri 10:45 a.m. - 11:00 a.m.
|
Q&A with Suvrit Sra
(
Q&A
)
|
Suvrit Sra 🔗 |
|
Fri 11:00 a.m. - 11:15 a.m.
|
Break
(
Break
)
|
🔗 |
|
Fri 11:15 a.m. - 12:00 p.m.
|
Panel
(
Panel
)
|
🔗 |
|
Fri 12:00 p.m. - 12:05 p.m.
|
Transition/contributed talks introduction
(
Transition/contributed talks introduction
)
|
🔗 |
|
Fri 12:05 p.m. - 12:15 p.m.
|
Creating a health taxonomy with social media
(
Contributed Talk
)
SlidesLive Video |
Sanja Šćepanović 🔗 |
|
Fri 12:15 p.m. - 12:25 p.m.
|
A Bayesian Optimization Approach to Estimating Expected Match Time and Organ Quality in Kidney Exchange
(
Contributed Talk
)
SlidesLive Video |
Naveen Durvasula 🔗 |
|
Fri 12:25 p.m. - 12:35 p.m.
|
Inference in Network-based Epidemiological Simulations with Probabilistic Programming
(
Contributed Talk
)
SlidesLive Video |
Niklas Smedemark-Margulies 🔗 |
|
Fri 12:35 p.m. - 12:45 p.m.
|
Co-clustering of evolving count matrices in pharmacovigilance with the dynamic latent block model
(
Contributed Talk
)
SlidesLive Video |
Giulia Marchello 🔗 |
|
Fri 12:45 p.m. - 12:55 p.m.
|
Q/A session with contributed talk presenters
(
Q/A
)
|
Sanja Šćepanović · Naveen Durvasula · Niklas Smedemark-Margulies · Giulia Marchello 🔗 |
|
Fri 12:55 p.m. - 1:00 p.m.
|
Break before poster session
(
Break
)
|
🔗 |
|
Fri 1:00 p.m. - 2:00 p.m.
|
Poster Session
(
Poster Session
)
link
[ protected link dropped ] |
🔗 |
|
Fri 2:00 p.m. - 2:03 p.m.
|
Transition/introduction
(
Introduction for Susan Murphy
)
|
🔗 |
|
Fri 2:03 p.m. - 2:45 p.m.
|
Invited talk by Susan Murphy
(
Invited talk
)
|
Susan Murphy 🔗 |
|
Fri 2:45 p.m. - 3:00 p.m.
|
Q&A with Susan Murphy
(
Q&A
)
|
Susan Murphy 🔗 |