Data Assimilation for Robust UQ Within Agent-Based Simulation on HPC Systems
Agent-based simulation provides a powerful tool for in silico system modeling. However, these simulations do not provide built-in methods for uncertainty quantification (UQ). Within these types of models a typical approach to UQ is to run multiple realizations of the model then compute aggregate statistics. This approach is limited due to the compute time required for a solution. When faced with an emerging biothreat, public health decisions need to be made quickly and solutions for integrating near real-time data with analytic tools are needed.
Authors
- Sifat Afroj Moon (ORCID: https://orcid.org/0000-0003-4496-8809)
- John Gounley
- Heidi A. Hanson (ORCID: https://orcid.org/0000-0003-0056-196X)
- Adam Spannaus (ORCID: https://orcid.org/0000-0002-2521-3657)
Institutions
- Oak Ridge National Laboratory (US)
Publication Details
- Published
- 2025-06-16
- DOI
- https://doi.org/10.1145/3732775.3733582
- Primary Topic
- Simulation Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Energy
- Battelle
- UT-Battelle
- Office of Science