Next up, Sara Clifton (@StOlaf) is giving a talk on "Modeling the public health impact of e-cigarettes on adolescents and adults", exploring the impact of intrinsic and social utility on behavior decision-making. #DDaysUS23

Now @v_ciocanel is giving a talk on "Parameter identifiability for PDE models of fluorescence microscopy experiments", explaining approaches for estimating parameters of reaction-diffusion PDE models given spatially-averaged experimental time-series data. #DDaysUS23

Kicking off the last day of Dynamics Days, @LHDnets is giving a talk on "Approximate master equations for
contagion and group selection dynamics on higher-order
networks", emphasizing the relevance of modeling both individual-level and group-level social dynamics. #DDaysUS23

Next up, Weiqi Chu (@UCLA) is giving a talk on "Non-Markovian opinion models inspired by random walks on networks", explaining how time-dependent effects and memory can impact the dynamics of continuous opinions spreading on social networks. #DDaysUS23

Starting the final afternoon session, Andrew Bernoff (@harveymudd) speaking about "Using field data to inform agent-based and continuous models of locust hopper bands", explaining the dynamics of locust social behavior and resulting traveling-pulse collective motion. #DDaysUS23

Next up, Cecilia Diniz Behn (@coschoolofmines) is speaking about "Inferring insulin secretion rate with
uncertainty quantification in patients with cystic fibrosis", explaining an approach for estimating metabolic dynamics. #DDaysUS23

Up now, Elizabeth Bradley (@CUBoulder) is giving a talk on "Using scaling-region distributions to select
embedding parameters", describing an automated approach for state-space reconstruction of dynamical systems from time-series data. #DDaysUS23

Now @jbramburger7 is speaking about "Data-driven polynomial optimization for dynamical systems", explaining how to use data to identify auxiliary functions for dynamical systems (such as Lyapunov functions or time averages). #DDaysUS23

Now @eigensteve is speaking on "Machine learning for scientific discovery, with examples in fluid mechanics", explaining approaches for using machine learning to create interpretable and generalizable dynamical systems models. #DDaysUS23

I'm really enjoying this year's edition of Dynamics Days US! Right now, @oritpeleg is giving a talk on "Living orbs of light: The math of firefly communication", combining dynamical models with experimental data to explore collective communication in biology. #DDaysUS23