BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20211207T055409Z
LOCATION:240-241-242
DTSTART;TZID=America/Chicago:20211119T104500
DTEND;TZID=America/Chicago:20211119T110000
UID:submissions.supercomputing.org_SC21_sess337_ws_urgent107@linklings.com
SUMMARY:Real-Time COVID-19 Infection Risk Assessment and Mitigation Based 
 on Public-Domain Data
DESCRIPTION:Workshop\n\nReal-Time COVID-19 Infection Risk Assessment and M
 itigation Based on Public-Domain Data\n\nCheng\n\nA number of models have 
 been developed to predict the spreads of the COVID-19 pandemic and how non
 -pharmaceutical interventions (NPIs) such as social distancing, facial cov
 erings, and business and school closures can contain this pandemic. Evolut
 ionary artificial intelligence (AI) approaches have recently been proposed
  to automatically determine the most effective interventions by generating
  a large number of candidate strategies customized for different countries
  and locales and evaluating them with predictive models. These epidemiolog
 ical models and advanced AI techniques assist policy makers by providing t
 hem with strategies in balancing the need to contain the pandemic and the 
 need to minimize their economic impact as well as educating the general pu
 blic about ways to reduce the chance of infection. However, they do not ad
 vise an individual citizen at a specific moment and location on taking the
  best course of actions to accomplish a task such as grocery shopping whil
 e minimizing infection. Therefore, this paper describes a new project aimi
 ng to develop a mobile-phone-deployable, real-time COVID-19 infection risk
  assessment and mitigation (RT-CIRAM) system which analyzes up-to-date dat
 a from multiple open sources leveraging urgent HPC/cloud computing, couple
 d with time-critical scheduling and routing techniques. Facing the increas
 ing spread of the more contagious Delta (B.1.617.2) variant, this personal
  system will be especially useful for individual citizen to reduce her/his
  infection risk despite increasing vaccination rates while contributing to
  containing the spread of the current and future pandemics.\n\nTag: Applic
 ations, Big Data, Computational Science, Data Analytics, Emerging Technolo
 gies, Extreme Scale Computing, Machine Learning and Artificial Intelligenc
 e\n\nRegistration Category: Workshop Reg Pass
END:VEVENT
END:VCALENDAR