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Entomological Society of America

American Institute of Mathematics, Pasadena, California

This workshop, sponsored by AIM and the NSF, will focus on advancing mathematical modeling frameworks and theory to address the urgent challenges posed by declining pollinator populations. Insect pollination is vital to terrestrial ecosystems and agriculture, with honeybee pollination in the United States alone valued at over $12 billion annually. Yet, substantial evidence shows that pollinator populations are in sharp decline, with honeybee colony losses reaching unprecedented levels — threatening agricultural sustainability and food security. These declines result from complex interactions among environmental factors (e.g., shifting climate patterns) and biological processes (e.g., exposure to agrochemicals such as insecticides and fungicides, parasitic infections, diseases, and habitat degradation).

Applied Mathematics (in general),    Systems Biology and Computational Biology

The Astrobiology Science Conference (AbSciCon) brings the astrobiology community together every two years to share research, collaborate, and plan for the future. AbSciCon is a community-organized conference that provides a forum for reporting on new discoveries, sharing data and insights, advancing collaborative efforts and initiating new ones, planning new projects, and educating the next generation of astrobiologists.

Astronomy, Astrophysics and Cosmology,    Geophysics and Geology

Institute for Computational and Experimental Research in Mathematics

Mathematical population biologists study of a wide array of biological phenomena—such as the spread of alleles in a populations, the coexistence of competing species within ecosystems, the branching of phylogenetic trees, the transmission dynamics of infectious diseases, and the demographic history of populations—that are typically studied across distinct biological subfields, including demography, ecology, epidemiology, and population genetics. Although these phenomena are often represented in separate scientific communities, they are united by a core set of mathematical and computational modeling philosophies and approaches. Recent advances in computation and data-gathering technologies have greatly increased our power to test hypotheses about ecological and evolutionary processes and to make detailed inferences about the structure of populations. These advances have facilitated the development of new models for individuals and populations in space and over time, including models that relax some of the core assumptions underlying much of previous theory.

The goal of this workshop is to bring together researchers in population biology who draw on diverse areas, including stochastic processes, mathematical statistics, dynamical systems, combinatorics and, increasingly, computational modeling and simulation, to share the latest mathematical advances and tools across subfields. This exchange of approaches will reveal synergies and spark new research directions.

Phone: [4018635030];     Email: info@icerm.brown.edu