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"Annapolis City Marina 2017" by matthewbeziat is licensed under CC BY-NC 2.0

CLSAC 2020

COVID CLSAC: Analytics for Pandemic Decision Support


October 6 and 7, 2020
Virtual Meeting




Theme: 
​The COVID-19 Pandemic presents a world-wide, real-time challenge for data analytics spanning diverse fields including: cell biology, virology, drug discovery, logistics, human behavior, contact tracing, security, and privacy.  The size and scope of the pandemic provide a unique opportunity to evaluate different approaches for controlling and combating the pandemic within the kaleidoscope of human cultures and social norms, and Earth’s geographical diversity.  Some fields are governed by first-principle science, others are behavioral in nature and still others are a mix of methods accentuating the need for mixed analytics comprising experimentation, observation, and data science approaches.  The Pandemic highlights the need to leverage a synthesis of these different approaches to create actionable knowledge.  Time delays in infection, hospitalization, and death imply the existence of precursor events and the massive opportunity to provide predictive methods that can guide decision maker in time to make a difference. Given the personal and business sensitive data involved, security and privacy issues are paramount; without carefully-crafted policies that meet a variety of local expectations, data gathering and contact tracing efforts necessary to combat the pandemics are doomed.
 
CLSAC 2020 will explore different aspects and data analytics challenges resulting from the Pandemic in a two-day, virtual conference.  Each day will comprise a keynote address, three invited talks, student presentations, and a panel session.  We will start the second day with our ever popular Random Access session.

Organizing Committee:
Jim Ang, Pacific Northwest National Laboratory
John Feo, Pacific Northwest National Laboratory
David Haglin, Trovares, Inc.
Ron Oldfield, Sandia National Laboratories
Richard Murphy, Micron Technologies
Almadena Chtchelkanova, National Science Foundation
Brad Spiers, Committee Advisor
Candace Culhane, Los Alamos National Laboratory
Chris Mineo, Department of Defense
TC Tuan, Department of Defense
Steve Pritchard, Committee Advisor

Virtual Agenda (Eastern Standard Time)


Tuesday, October 6
Keynote
1:00--1:45 pm
Computing, Data and COVID-19
Kathy Yelick, Lawrence Berkely National Laboratory
 Panel Session: Privacy and Ethics (David Haglin, Host)

1:45 -- 2:40 pm
Ryan Weil, Leidos
Michael Lamb, LexisNexis
Sara Jordan, Policy Counsel, Artificial Intelligence and Ethics, Future of Privacy Forum
Julie Cohen, Georgetown Law
2:40 -- 3:00 pm
Break
Session 1 (John Feo, Host)
3:00 -- 3:15 pm
Student Flash Talk: COVID Economic Analysis
Julia Potter, Rhodes College
3:15 -- 3:30 pm
Student Flash Talk: Privacy Preserving, Distributed, and Verifiable Machine Learning for COVID-19 Identification using Zero-Knowledge Proofs
Zachary DeStefano, LANL
3:30 -- 4:00 pm
Scaling Submodular Optimization Based Techniques for Epidemic Intervention
Marco Minutoli, PNNL
4:00 -- 4:30 pm
Large-Scale Agent-Based Epidemiological Modeling
Tim Germann, LANL
4:30 -- 5:00 pm
Social Simulation of the COVID-19 Disease
Nobuyasu Ito, RIKEN

Wednesday, October 7
Random Access (Jim Ang, Host)
10:30 -- 10:40 am
Distributed Memory on POWER10
Peter Hofstee, IBM
10:40 -- 10:50 am
Wafer Scale Isn’t Only for Machine Learning
Rob Schreiber, Cerebras
10:50 -- 11:00 am
So Long, Machoflops
Anne Fitzpatrick, Virginia Tech
11:00 -- 11:10 am
Capturing Spatial and Temporal Variation in Behaviors Related to COVID-19 using ENSIGN
James Ezick
Reservoir Labs
11:10 -- 11:20 am
Decision support to prioritize novel therapeutic targets in response to a viral outbreak
Jonathan Allen, LLNL
11:20 -- 11:30 am
Scalable Graph Analytics with Tightly Coupled GPUs
Oded Green, NVIDIA
11:30 -- 11:40 am
COVID-19 Scenario Exploration and Optimization
Timo Bremer, LLNL
11:40 -- 11:50 am
Detecting Communities Among Drug-trial Patients with a Quantum-Ready Method
Steve Reinhardt, Quantum Computing
11:50 -- 12:00 pm
SODALITE - Software Defined Accelerators from Learning Tools Environment
Antonino Tumeo, PNNL
12:00 -- 12:10 pm
Analyzing network-of-networks at scale
John Feo, PNNL
12:10 -- 12:20 pm
Multi-Temporal Analysis and Scaling Relations of 100,000,000,000 Network Packets
Jeremy Kepner
12:20 -- 12:30 pm
Security in the North American Grid; Hidden Vulnerabilities
George Cotter
Keynote
1:00 -- 1:45 pm
Networks for Exploring the Evolution of Pandemic H1N1 Influenza and Covid-19
Shahid Bokhari
 Session 2 (Candy Culhane, Host)
1:45 -- 2:15
AvesTerra Exposure Response Technology (AVERT)
J. Smart, Georgetown University
2:15 -- 2:30 pm
Student Flash Talk:  A Study of COVID-19 Impact on Mental Health via Information Extraction and Querying of Clinical Notes
Marie Humbert-Droz, Stanford University

2:30 -- 3:00 pm
Break
3:00 -- 3:30 pm
Too Close for Too Long
Marc Zissman, Lincoln Labs
3:30 -- 4:00 pm
Open Data Operations for COVID-19
Aaron Katz, Johns Hopkins University
Panel: Lasting Impact of COVID on the Community (Brad Spiers, Host)

4:00 -- 4:45 pm
Jessica Dymond, Johns Hopkins University Applied Physics Laboratory
Eng Lim Goh, Senior Vice President and Chief Technology Officer for AI at HPE
Thomas Sterling, Indiana University
4:45 -- 5:00 pm
Final Program Discussions/Adjourn
The CLSAC web site is sponsored by the Association for High-Speed Computing.