Social Learners Impact Outcome of Group Decision-making

At DS21, Vicky Chuqiao Yang investigated the effect that individuals who follow the herd have on group decisions.

Sentiments Regarding COVID-19 Impact Disease Spread

Folashade Agusto explored how positive and negative public sentiments affect infection rates during DS21.

At DS21, Lucia Wagner predicts the future prevalence of traditional cigarette and e-cigarette consumption in adult and adolescent U.S. users.

Mondal Hasan Zahid explored the efficacy of deltamethrin-impregnated dog collars to manage visceral leishmaniasis at DS21.

During DS21, Skylar Grey presented a model of local population dynamics and human migration.

Laurie Balstad utilized a mechanistic model to examine racial diversity within professional hierarchy structures at DS21.

At DS21, Lisa Kuhn presented a model that estimates how soon a college student might experience spinal disc degeneration.

At DS21, Subhradeep Roy examined driver interactions using information theoretic tools and real-world data.

At DS21, Alina Dubovskaya created a basic model to study the recycling of phosphorous within the terrestrial plant-soil system.

G. Matthew Fricke described developing the Volcano Co-robots with Adaptive Natural algorithms swarm at DS21.

At DS21, Kyle Gustafson utilized predictive maintenance models to detect anomalies in unmanned underwater vehicles.

Andrew Bernoff explored locust movement with agent-based models and their continuum approximations at DS21.

At DS21, Hamed Farivarnejad presented controllers for ant-like robots that collectively convey an object to a destination.

At DS21, Vera Melinda Galfi used large deviation theory to analyze temperature-related atmospheric persistent events.

A CSE21 minisymposium on the fast Fourier transform enabled an exchange of ideas on alternative FFT algorithms.