The final meeting of the Working Group in January 2014 (L to R): Paula Federico, Suzanne Lenhart, Rene Salinas, Scott Christley, Matt Oremland, Andrew Kanarek (via Skype), Rachel Miller Neilan, Reinhard Laubenbacher, Jie Xiong, Ben Fitzpatrick, David Gurarie. Not pictured: Gary An.
The NIMBioS Working Group Optimal Control for Agent-based Models has been busy blazing a trail: its perspective paper on agent-based models in biology published last fall in the Bulletin of Mathematical Biology has been downloaded 500 times.
“Optimization and Control of Agent-Based Models in Biology: A Perspective” proposes a new approach to optimization and control and outlines steps and specific techniques.
The Working Group, which met four times from 2011 to 2014, was co-organized by Gary An, University of Chicago Pritzker School of Medicine; Reinhard Laubenbacher, Virginia Bioinformatics Institute; and Suzanne Lenhart and Jie Xiong, both from the Department of Mathematics, University of Tennessee. The group submitted a proposal to form a Working Group following a workshop at NIMBioS in December 2009.
NIMBioS Working Groups are chosen to focus on major scientific questions at the interface between biology and mathematics. The groups comprise up to 10 participants, focus on a well-defined topic, and have well-defined goals and metrics of success. Working Groups typically meet up to three times over a two-year period.
The next deadline to request support for a Working Group is March 1. For more information about Working Groups and how to apply for support, visit https://legacy.nimbios.org/workinggroups/
Citation: An G et al. 2016. Optimization and control of agent-based models in biology: A perspective. Bulletin of Mathematical Biology. doi:10.1007/s11538-016-0225-6