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Subekshya Bidari, Department of Applied Mathematics, Â鶹ÊÓƵMathematical Biology Seminar for 16 November 2020Honey bees make decisions regarding foraging and nest-site selection in groups ranging from hundreds to thousands of

Nick Barendregt, Department of Applied Mathematics, Â鶹ÊÓƵNormative and Dynamic Urgency in Dynamic Decision EnvironmentsIn uncertain and dynamic environments, humans must adapt their decision-making strategies to ensure

Lyndsey Wong, Department of Applied Mathematics, Â鶹ÊÓƵMathematical Models for Wealth DynamicsThe dynamics of wealth are not fully understood. In order to gain insight on these dynamics, we can use mathematical models. One

Zachary Kilpatrick, Department of Applied Mathematics, Â鶹ÊÓƵHeterogeneity improves speed and accuracy in social networksHow does temporally structured private and social information shape collective decisions? To 

Erin Ellefsen, Department of Applied Mathematics, Â鶹ÊÓƵNonlocal Models in EcologyNonlocal models can be very useful to describe some phenomena in Ecology. However, they also pose both analytical and computational challenges

Lewis Baker, Department of Applied Mathematics, Â鶹ÊÓƵInference of Diffusion Coefficients from Single Molecule TrajectoriesSingle particle tracking (SPT) enables experimentalists to observe the movement of individual

Daniel Messenger, Department of Applied Mathematics, Â鶹ÊÓƵData-Driven Model Selection using Weak SINDy with Applications to Spatiotemporal Problems in BiologyThe task of identifying governing equations to match observed

Harry Dudley, Department of Applied Mathematics, Â鶹ÊÓƵTitle and Abstract currently unavailable  

Sabina Altus, Department of Applied Mathematics, Â鶹ÊÓƵAsymptotic Behavior of a Highly-Structured Population as a Semigroup PerturbationCyanobacteria are photosynthetic microorganisms with promising applications in renewable

Dan Messenger, Department of Applied Mathematics, Â鶹ÊÓƵAggregation-Diffusion Phenomena in Domains with BoundariesThis talk relates to a class of mathematical models for the collective behaviour of autonomous agents, or