AI for COVID-19

3rd Annual Health Day at the KDD Conference
24th August 2020 (all times in PDT)
Virtual Conference

About The Event

Covid_Nurse

COVID-19 is a pandemic that has spread over 185 countries. As of this writing on July 29th there are more than 17M people confirmed symptomatic. A lot more people are assumed to be exposed and asymptomatic, based on the seroprevalence studies. The disease incubation period ranges from 2 to 14 days and in some cases up to 19 days, and the infectious period on an average is about 8 to 15 days. The disease characteristics range from respiratory to anorexia to digestive. The basic reproduction number Ro i.e. the average number of people infected by one person is documented to range from 2 to 6 according to various studies. All these diverse statistics make it hard to handle this disease. The therapeutic options are also very nascent till a vaccine is discovered. Given these challenging conditions, the data science community has risen to the challenges and seeking to make a difference.

Health Day at KDD is now a premier venue for leaders in AI/ML and Healthcare to discuss major issues facing all aspects of human health; from drug-discovery to epidemiology, from chronic disease management to cost prediction modeling.

Join us to witness these exceptional talks from the best in the world as to how they tackle COVID.

Invited Panelists

Peipei-1
Peipei Ping, PhD,
UCLA
wendy
Wendy Nilsen
NSF
Vincent
Vincent Liu
Kaiser Permanente
Sravanti
Sravanthi Parasa
Swedish.org
Ericpng
Eric Eskioglu
Novant Health

Panel Sessions 

Session 1 : Research Funding in the Times of COVID-19: A conversation with NSF and NIH

Peipei Ping, PhD, UCLA,; Wendy Nilsen, NSF; 

This panel with leaders from NSF and NIH will discuss the impact of COVID-19 on research funding and how the research community is adapting to this change. We will focus on the various important aspects that NSF and NIH focuses on during this pandemic.

 

Session 2: AI at the Frontlines: How Health Systems are Battling COVID-19

Vincent Liu, Kaiser Permanente; Sravanthi Parasa, Swedish.org; Eric Eskioglu, Novant Health 

Covid-19 has impacted all health systems worldwide. This panel with leaders from key health systems will underscore the importance of AI and machine learning that these leading institutions are adopting to battle COVID-19 both short term and long term.

Agenda

09:00
-
10:00
Opening Session: What can AI do for COVID?
Ankur Teredesai and Taposh Roy
10:00
-
10:15
Coffee Break
10:15
-
10:45
Panel: Research in the Times of COVID-19: A Conversation with Government Agencies
Peipei Ping, PhD, FAHA, FISHR; Wendy Nilsen; TBD
10:45
-
11:15
Best Paper Presentation: Data-driven Simulation and Optimization for COVID-19 Exit Strategies
Salah Ghamizi, Renaud Rwemalika, Maxime Cordy, Lisa Veiber, Tegawendé F. Bissyandé, Mike Papadakis, Jacques Klein, Yves Le Traon : University of Luxembourg:
11:15
-
11:30
Coffee Break
11:30
-
12:00
Research Paper Presentation : Learning to Simulate Human Mobility
Jie Feng, Zeyu Yang, Fengli Xu, Haisu Yu , Mudan Wang, Yong Li: Tsinghua University:
12:00
-
12:30
Research Paper Presentation: Understanding the Impact of the COVID-19 Pandemic on Transportation-related Behaviors with Human Mobility Data
Jizhou Huang, Haifeng Wang, Miao Fan,An Zhuo, Yibo Sun, Ying Li: Baidu Inc.
12:30
-
13:00
Lunch Break
13:00
-
13:45
Panel: AI at the Frontlines: How Health Systems are Battling COVID-19
Vincent Liu, Kaiser Permanente; Sravanthi Parasa, Swedish.org; Eric Eskioglu, Novant Health 
13:45
-
14:00
Coffee Break
14:00
-
14:30
Research Paper Presentation: Simulating the Impact of Hospital Capacity and Social Isolation to Minimize the Propagation of Infectious Diseases
Shaon Bhatta Shuvo, Bonaventure C. Molokwu, Ziad Kobti:University of Windsor
14:30
-
15:00
Research Paper Presentation: Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs
Clara McCreery; Stanford University: Namit Katariya; Curai: Anitha Kannan;Curai: Manish Chablani;EightSleep: Xavier Amatriain;Curai:
15:00
-
15:30
Research Paper Presentation: Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea
Minseok Kim, Junhyeok Kang, Doyoung Kim, Hwanjun Song, Hyangsuk Min, Youngeun Nam , Dongmin Park, Jae-Gil Lee: Korea Advanced Institute of Science and Technology:
15:30
-
16:00
Coffee Break
16:00
-
16:30
Research Paper Presentation: Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data
Cecilia Mascolo, Chloe Brown , Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hastanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta : University of Cambridge
16:30
-
17:00
Research Paper Presentation: Understanding the Urban Pandemic Spreading of COVID-19 with Real-World Mobility Data
Yong Li, Qianyue Hao, Lin Chen, Fengli Xu: Tsinghua University
17:00
-
17:30
Closing note - Sutowo
Workshops on Health topics to be invited to present their highlights

Accepted research presentations

Here are some of the presentations and posters that will be presented at Health Day KDD 2020

Our Sponsors

Lawrence Livermore
Kensci-1
Trans

The Health Day Team 

Organizing Committee 

Chairs:

AT Taposh
Ankur Teredesai, UW, KenSci  Taposh Roy, Kaiser Permanente

 

 Program Committee Co-chairs:

Iryna MAA
Iryna Skrypnyk Muhammad Aurangzeb Ahmed

 

Program Committee

Prasanna Desikan Rui Yan Sekou Remy John Krumm Kiyana Zolfagar
Drew Clausen Athirai Irissappane Vikas Kumar Anudha Mittal Ilker Yaramis
Oliver Bent Prithwish Chakraborty Abdeltawab Hendawi Juhua Hu Joseph Lewnard
Vaishali Desai Carly Eckert Kyle Johnson John Sanil Manavalan Oinam Nganba Meetei
Balaji Polepalli Ramesh Mikhail Teverovskiy Vivek Khetan    

 
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