COVID-19: A Data-driven Mean-field-type Game Theory Perspective ResearchInsightsCommentarysiam.org FeedsLife Sciences Data-driven mean-field-type game theory can model interactions with multiple types of decision-makers for COVID-19.
Discrete Element Simulations of Sea Ice Dynamics in Nares Strait ResearchInsightsCommentarysiam.org FeedsComputational Science & Numerical AnalysisDiscrete Mathematics and Theoretical Computer ScienceDynamical Systems, Nonlinear WavesGeosciences and Math of Planet Earth Particle-based methods like the discrete element method provide a way to model discrete pieces of sea ice.
Scenario-based CVaR Approach to Strategic Decision Support in One-way Station-based Carsharing Systems ResearchInsightsCommentarysiam.org FeedsOptimization A nonlinear programming model maximizes the return and minimizes the risk for a one-way carsharing system.
Deep Learning-Augmented Data Assimilation for Next-Generation Predictive Models ResearchInsightsCommentarysiam.org FeedsComputational Science & Numerical AnalysisData ScienceDynamical Systems, Nonlinear WavesGeosciences and Math of Planet Earth The power of deep learning-based, data-driven surrogates can enhance ensemble-based data assimilation methods.
Justice, Equity, Diversity, and Inclusion in Applied Mathematics for All Get InvolvedConferencesCareersStudents and EducationSIAM Newssiam.org FeedsEducationStudentCareer An interactive session at AN21 aimed to enhance the community’s understanding of racial equity in applied mathematics.