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Lessons Learned from the C19HCC M&S Support – Complexity and Artificial Society Modeling Challenges
Oct 8, 2021, 3:00 - 4:30 PM
Andreas Tolk, Ph.D., Senior Principal Chief Scientist, The MITRE Corporation, Adjunct Professor, Old Dominion University and Fellow of the Society for Modeling and Simulation is the scheduled colloquium speaker for Friday, October 8. Dr. Tolk's talk entitled "Lessons Learned from the C19HCC M&S Support – Complexity and Artificial Society Modeling Challenges" is scheduled for 3-4:30 p.m. Zoom details follow.
Zoom Link | Join Zoom Meeting https://gmu.zoom.us/j/93756887891?pwd=ajlJWVhkS0FLWnA3aEI1OWtQYVR5Zz09 Meeting ID: 937 5688 7891 Passcode: 637018 One tap mobile +13017158592,,93756887891#,,,,*637018# US (Washington DC) +12678310333,,93756887891#,,,,*637018# US (Philadelphia) Dial by your location +1 301 715 8592 US (Washington DC) +1 267 831 0333 US (Philadelphia) Meeting ID: 937 5688 7891 Passcode: 637018 Find your local number: https://gmu.zoom.us/u/adPH7Rb5go Join by SIP |
Date | Friday, October 8, 2021 |
Time | 3:00 pm - 4:30 pm EDT (UTC-4:00) |
Title | Lessons Learned from the C19HCC M&S Support – Complexity and Artificial Society Modeling Challenges |
Speaker | Andreas Tolk, Ph.D., Senior Principal Chief Scientist, The MITRE Corporation Adjunct Professor, Old Dominion University Fellow of the Society for Modeling and Simulation |
Abstract | The COVID-19 Healthcare Coalition (C19HCC) was established in March of 2020 as a private sector-led response to the COVID-19 pandemic to bring healthcare organizations, technology firms, nonprofits, academia, and startups together to preserve the healthcare delivery system and help protect U.S. populations by providing data-driven, real-time insights. The Working Group on Modeling and Simulation had to obtain, align, and mediate various forms of data and data sources to support machine-learning based forecasts and simulation-based prognoses. As the problem domain was deeply uncertain, i.e., we had uncertainty not only in parameters and attribute values, but even in important concepts and the general applicability of model types, we were looking for a flexible solution to provide multicriteria and multi-value decision support. The resulting open-source solution was based on the lessons learned from the coalition partners. An artificial society represented individuals and their social networks in their environment, reacting to interventions. The approach allowed for a multidisciplinary approach to bring the expertise of computer and simulation engineers, epidemiologists, sociologists, and other relevant disciplines together into a common computational representation. This talk provides a high-level overview of the challenges, the solution strategy, and lessons learned. |
Author Bios | Andreas Tolk is Chief Scientist for Complex Systems Modeling at The MITRE Corporation in Charlottesville, VA, and adjunct Professor at Old Dominion University in Norfolk, VA. He holds a PhD and MSc in Computer Science from the University of the Federal Armed Forces in Munich, Germany. He edited 14 books on modeling and simulation and systems engineering topics and published more than 250 book chapters, journal articles, and conference papers. He is a Fellow of the Society for Modeling and Simulation (SCS), and a senior member of the Institute of Electrical and Electronic Engineers (IEEE) and the Association for Computing Machinery (ACM). He received distinguished professional recognitions from ACM and SCS. |