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NSSAC RESEARCH

Supporting Collaborative Research

 * Menu

   
 * Interactive Analytical Tools Modeling Capabilities Scalable Computing & AI
   Pandemic Response
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 * Dashboards
   
 * Publications
 * Presentations
 * VDH Weekly Briefings
   
 * Datasets
   
 * Useful Links
 * About NSSAC
 * NSSAC in the News
 * Contact Us

© 2024. All rights reserved.

Welcome to the Network Systems Science and Advanced Computing (NSSAC)
collaboration page. We are a division of the Biocomplexity Institute (BII) at
the University of Virginia. We use advanced modeling techniques and simulations
to study real world, cross-discipline problems. Our focus areas include
Cognitive and Social Behaviors, Interdependent Infrastructures (like
transportation and social media), Systems Biology, and Public Health (including
epidemics and pandemics). This site provides access to materials relevant to
current topics of interest in order to foster communication and collaboration.
For additonal information about our research, please see our main webpage.

Check out our world class speakers on our YouTube channels: NSSAC, Global
Pervasive Computational Epidemiology, PREPARE, Net.Science

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PRIVACY-ENHANCING TECHNOLOGIES PRIZE CHALLENGES

We are proud to support the recently completed U.K.-U.S. prize challenges.

In the challenge, participants were tasked with creating personalized risk
forecasts of infection in a privacy-preserving manner. The challenge was put on
by the U.K.’s Center for Data Ethics and Innovation (CDEI) and Innovate UK, as
well as by the U.S. National Institutes of Standards and Technology (NIST), and
the National Science Foundation (NSF) in cooperation with the White House Office
of Science and Technology Policy (OSTP).

Our team generated the two synthetic population datasets provided in the
pandemic response challenge. The first covers the population of the UK, and the
second the population of the state of Virginia, USA. We used an outbreak
simulation that created 63 days-worth of data, subsequently split into 56 days
of training data and 7 days of test data. You can learn more about our
contributions here and access the dataset here.

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TEAM RECOGNITION

2022 UVA PROVOST’S OFFICE AWARD FOR COLLABORATIVE EXCELLENCE IN PUBLIC SERVICE

Presented to Jiangzhuo Chen, Bryan Lewis, and Srini Venkatramanan as
representatives of the Biocomplexity Institute’s COVID-19 Response Team for
their service to the University, the Commonwealth of Virginia, and federal
authorities during the pandemic, which continues today. Link

2021 FINALIST, ACM GORDON BELL SPECIAL PRIZE FOR HPC-BASED COVID-19 RESEARCH

The team was recognized at SC21 for their paper describing an integrated,
data-driven operational pipeline based on national agent-based models to support
federal and state-level pandemic planning and response. The pipeline consists of
(i) an automatic semantic-aware scheduling method that coordinates jobs across
two separate high performance computing systems; (ii) a data pipeline to
collect, integrate and organize national and county-level disaggregated data for
initialization and post-simulation analysis; (iii) a digital twin of national
social contact networks made up of 288 Million individuals and 12.6 Billion
time-varying interactions covering the US states and DC; (iv) an extension of a
parallel agent-based simulation model to study epidemic dynamics and associated
interventions. This pipeline can run 400 replicates of national runs in less
than 33 h, and reduces the need for human intervention, resulting in faster
turnaround times and higher reliability and accuracy of the results.
Scientifically, the work has led to significant advances in real-time epidemic
sciences. Link

2021 FINALIST, THE TRINITY CHALLENGE

The team was selected as a finalist in the June 2021 Trinity Challenge for
better protecting the world against health emergencies using data-driven
research and analytics. 16 finalists were chosen out of 340 entries. Link

2017 NATIONAL ENERGY RESEARCH SCIENTIFIC COMPUTING CENTER NERSC AWARD

Presented to A Bhatele, J Yeom, N Jain, C Kuhlman, Y Livnat, K Bisset, L Kale, M
Marathe for innovative use of HPC that led to scalable mapping of epidemic
simulations on NERSC machines. Link

2016 CONSTELLATION GROUP SUPERNOVA AWARD

Presented to the team in the category of Data to Decisions for work on
developing high performance computing solutions to support national disaster
management. Link

2015 HPCWIRE EDITOR’S CHOICE AWARD FOR BEST USE OF HIGH PERFORMANCE DATA
ANALYTICS

Presented to the team for our work on simulating the entire US population in
seconds versus an hour, helping to contain influenza outbreaks and optimizing
placement of treatment centers for the Ebola outbreak. Link

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PANDEMIC RESPONSE RESOURCES

 * Pandemic Response Research at NSSAC
 * Learn about our COVID-19 decision support dashboards here
 * Find our COVID-related publications here
 * Our weekly briefings to VDH are here
 * We’ve been mentioned in the media 400+ times - see the links here
 * Listen to our COVID Chasers podcast here for a more in-depth picture of our
   COVID work


CONTACT US

 * For all queries, please contact Bryan Lewis, Madhav Marathe, Srini
   Venkatramanan, and Mandy Wilson