ds23

The Pancreatic Beta Cell: Biology and Mathematics Advance Together

Mathematical modeling has addressed several key questions related to the dynamic response of insulin secretion.

Photos from the 2023 SIAM Conference on Applications of Dynamical Systems

View a selection of photos from the 2023 SIAM Conference on Applications of Dynamical Systems in Portland, Oregon.

Future meetings will need to consider different modalities, travel options, and ways to form connections.

Continuous generative representations have the potential to improve wind data resolution and enhance renewable energy forecasts.

An identified primary cause of zombie fires is rate-induced tipping to a subsurface hot metastable state in...

Sampling and kernel density estimations connect microscopic and macroscopic scales in traffic flow models.

A simple math model explores the political process of candidates positioning themselves relative to their opponents.

Dynamical systems theory helps design spacecraft trajectories that optimize fuel consumption and minimize...

A neural-network-based fault detection scheme finds thermal and side reaction faults in lithium-ion batteries.

Congratulations to Yoshiki Kuramoto, who will deliver the 2023 Jurgen Moser Lecture, and Victoria Booth, J. D. Crawford Prize recipient!

At DS23, Sean McQuade detailed an experiment with automated vehicles on the I-24 MOTION open-road testbed.

Ekaterina Landgren explored a social network model that depicts public perception of climate policy support at...

At DS23, Grant Doering investigated the heterogeneity in the rhythm synchronization of ant activity.

Albert Jarvis uncovered the dominant atmospheric structures that caused the dust plume’s evolution at DS23.

At DS23, Meilin Huang used modeling and empirical investigation to examine cooperative networks among students.

Amitabha Bose mapped the dynamics of coffee berry borers in order to find pest management strategies at DS23.

Five poster presenters received the Red Sock Award, named in honor of James Yorke, for their excellent displays at...

At DS23, Matthew Holden described several models for fisheries management with varying levels of complexity.

Extracting key information from physiological time series data in critical care settings can enable lifesaving advances.

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