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This conference is devoted to the theme of the design, prediction, and control of collectives. Many of the collectives that we are implicitly concerned with (and for good reason) are collectives composed of software agents or combinations of software and hardware agents. Collectives of agents that remotely gather information from distant planets and then transmit that information to Earth are one...
Rapidly evolving pathogens present a major conceptual and mathematical challenge to our understanding of disease dynamics. For these pathogens, the simulation of disease dynamics requires the use of computational models that incorporate pathogen evolution. Currently, these models are limited by two factors. First, their computational complexity hinders their numerical analysis and the ease with which...
Identifying the causes of interannual variability in disease dynamics is important for understanding and managing epidemics. Traditionally, these causes have been classified as intrinsic (e.g. immunity fluctuations) or extrinsic (e.g. climate forcing); ecologists determine the relative contributions of these factors by applying statistical models to time series of cases. Here we address the problem...
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