December 10 2014

12:00 LSB 2320

Wayne Getz [CANCELED]
Department of Environmental Science, Policy &; Management, UC Berkeley

The NOVA computational modeling platform: disease, movement, and resource ecology case studies involving Ebola and genetic algorithms


~This seminar has been canceled. Please contact Grace Agnus at if necessary.

Computationally complex systems models are needed to advance research and implement policy to address the next generation of theoretical and applied “large data” population biology and environmental problems. Difference and differential equations used to build lumped dynamic models (LDMs) may have the advantage of clarity, but are limited in their inability to include fine scale spatial information and individual-specific physical, physiological, immunological, neural and behavioral states. Current formulations of agent-based models (ABMs) are too idiosyncratic and freewheeling to provide a general, coherent framework for dynamically linking the inner and outer worlds of organisms. Here I introduce the NOVA modeling platform (, which has a very general, modular, hierarchically scalable, structure for building computational population models (CPMs) involving both LDM and ABM modeling building paradigms. I will do this in the framework of two recent studies currently in review:
1. Modeling across scales in computational evolutionary ecology: a Nova genetic algorithm involving movement, foraging, and sex
2. Ebola transmission chains: a model, vaccination, and West African data











































































































































































































































































































































































































































































































































































































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