"Annapolis City Marina 2017" by matthewbeziat is licensed under CC BY-NC 2.0
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CLSAC 2020
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.
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
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
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Keynote
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1:00--1:45 pm
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Computing, Data and COVID-19
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Kathy Yelick, Lawrence Berkely National Laboratory
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Panel Session: Privacy and Ethics (David Haglin, Host)
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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 |
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2:40 -- 3:00 pm
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Break
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Session 1 (John Feo, Host)
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3:00 -- 3:15 pm
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Student Flash Talk: COVID Economic Analysis
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Julia Potter, Rhodes College
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3:15 -- 3:30 pm
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Zachary DeStefano, LANL
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3:30 -- 4:00 pm
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Marco Minutoli, PNNL
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4:00 -- 4:30 pm
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Tim Germann, LANL
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4:30 -- 5:00 pm
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Nobuyasu Ito, RIKEN
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Wednesday, October 7
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Random Access (Jim Ang, Host)
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10:30 -- 10:40 am
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Peter Hofstee, IBM
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10:40 -- 10:50 am
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Wafer Scale Isn’t Only for Machine Learning
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Rob Schreiber, Cerebras
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10:50 -- 11:00 am
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Anne Fitzpatrick, Virginia Tech
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11:00 -- 11:10 am
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James Ezick
Reservoir Labs |
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11:10 -- 11:20 am
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Decision support to prioritize novel therapeutic targets in response to a viral outbreak
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Jonathan Allen, LLNL
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11:20 -- 11:30 am
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Scalable Graph Analytics with Tightly Coupled GPUs
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Oded Green, NVIDIA
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11:30 -- 11:40 am
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Timo Bremer, LLNL
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11:40 -- 11:50 am
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Steve Reinhardt, Quantum Computing
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11:50 -- 12:00 pm
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SODALITE - Software Defined Accelerators from Learning Tools Environment
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Antonino Tumeo, PNNL
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12:00 -- 12:10 pm
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John Feo, PNNL
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12:10 -- 12:20 pm
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Multi-Temporal Analysis and Scaling Relations of 100,000,000,000 Network Packets
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Jeremy Kepner
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12:20 -- 12:30 pm
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George Cotter
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Keynote
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1:00 -- 1:45 pm
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Shahid Bokhari
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Session 2 (Candy Culhane, Host)
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1:45 -- 2:15
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AvesTerra Exposure Response Technology (AVERT)
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J. Smart, Georgetown University
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2:15 -- 2:30 pm
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Marie Humbert-Droz, Stanford University
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2:30 -- 3:00 pm
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Break
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3:00 -- 3:30 pm
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Marc Zissman, Lincoln Labs
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3:30 -- 4:00 pm
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Aaron Katz, Johns Hopkins University
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Panel: Lasting Impact of COVID on the Community (Brad Spiers, Host)
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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 |
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4:45 -- 5:00 pm
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Final Program Discussions/Adjourn
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