Seminars

Mathematical Biology Seminar - John Nardini

Nov. 23, 2020

John Nardini, Department of Applied Mathematics, University of Colorado Boulder Data-driven modeling for noisy biological data and agent-based Models I will consider the problem of inferring the dynamics underlying biological data using two case studies in equation learning and topological data analysis. The math biology field presents several exciting challenges...

APPM Department Colloquium - Alex Hening

Nov. 20, 2020

Alex Hening, Department of Mathematics, Tufts Universy The competitive exclusion principle in stochastic environments The competitive exclusion principle states in its simplest form that a number of species competing for a smaller number of resources cannot coexist. Nevertheless, in nature there are many instances where this is not true. One...

Complex/Dynamical Systems Seminar - John Parker

Nov. 19, 2020

John Parker, Integrated Applied Mathematics, University of New Hampshire Chaotic Stabilization in Neural Systems Recent work in dynamical systems theory has shown how chaotic systems are able to be controlled. One control scheme, adapted from Hayes, Grebogi, and Ott, was applied to a chaotic double scroll oscillator and produced stabilized...

Mathematical Biology Seminar - Subekshya Bidari

Nov. 16, 2020

Subekshya Bidari, Department of Applied Mathematics, University of Colorado Boulder Mathematical Biology Seminar for 16 November 2020 Honey bees make decisions regarding foraging and nest-site selection in groups ranging from hundreds to thousands of individuals. To effectively make these decisions bees need to communicate within a spatially distributed group. However,...

APPM Department Colloquium - Vrushali Bokil

Nov. 13, 2020

Vrushali Bokil, Department of Mathematics, Oregon State University Compatible Discretizations for Maxwell’s Equations in Complex Materials In this talk, we discuss the construction of a specific compatible discretization, the Mimetic Finite Difference (MFD) method, for time domain electromagnetic wave propagation in linear dispersive media. The discretization utilizes an optimization procedure...

Mathematical Biology Seminar - Nicholas Barendregt

Nov. 9, 2020

Nick Barendregt, Department of Applied Mathematics, University of Colorado Boulder Normative and Dynamic Urgency in Dynamic Decision Environments In uncertain and dynamic environments, humans must adapt their decision-making strategies to ensure accurate and timely choices. For example, in environments where the reward for a correct decision depends on time, individuals...

Complex/Dynamical Systems Seminar - jimi adams

Nov. 5, 2020

jimi adams, Health and Behavioral Sciences, University of Colorado Denver Peer Network Processes in Adolescents' Health Lifestyles Combining theories of health lifestyles—interrelated health behaviors arising from group-based identities—with network and behavior change, we examined influence and selection processes between friendship networks and health lifestyles. We propose that friendship networks shape...

Mathematical Biology Seminar - Lyndsey Wong

Nov. 2, 2020

Lyndsey Wong, Department of Applied Mathematics, University of Colorado Boulder Mathematical Models for Wealth Dynamics The dynamics of wealth are not fully understood. In order to gain insight on these dynamics, we can use mathematical models. One application of wealth modeling is gentrification. Gentrification refers to the influx of income...

APPM Department Colloquium - William J. Layton

Oct. 30, 2020

William J. Layton, Department of Mathematics, University of Pittsburgh 5 ideas, good and bad, in computational fluid dynamics The goal of numerical analysis of the Navier-Stokes equations is to extend the accuracy, reliability and predictive ability of numerical simulations of fluid motion. This extension means improving the complexity (space, computational...

Mathematical Biology Seminar - Zachary Kilpatrick

Oct. 26, 2020

Zachary Kilpatrick, Department of Applied Mathematics, University of Colorado Boulder Heterogeneity improves speed and accuracy in social networks How does temporally structured private and social information shape collective decisions? To address this question we consider a clique of rational agents who independently accumulate private evidence that triggers a decision upon...

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