Santa Fe Institute Collaboration Platform

COMPLEX TIME: Adaptation, Aging, & Arrow of Time

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Contact: Caitlin Lorraine McShea, Program Manager, cmcshea@santafe.edu

Difference between revisions of "User:CharlotteLee"

From Complex Time
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|Affiliation=Duke Univ.
 
|Affiliation=Duke Univ.
 
|Email address=charlotte.t.lee@duke.edu
 
|Email address=charlotte.t.lee@duke.edu
|Biography=<meta charset="utf-8"><span>Charlotte Lee uses mathematical and computer modeling to study the nonlinear dynamics of structured populations. Most biologicalpopulations exhibit age, stage, size, or other structure, and most ecological interactions (between individuals, betweenspecies, or with the environment) ultimately involve nonlinearity, so very many interesting ecological problems includeboth. Her major research directions are 1) studying feedbacks between consumers and their resources and 2) understanding the interplay between preindustrial human populations and their environments</span>
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|Biography=<span>Charlotte Lee uses mathematical and computer modeling to study the nonlinear dynamics of structured populations. Most biologicalpopulations exhibit age, stage, size, or other structure, and most ecological interactions (between individuals, betweenspecies, or with the environment) ultimately involve nonlinearity, so very many interesting ecological problems includeboth. Her major research directions are 1) studying feedbacks between consumers and their resources and 2) understanding the interplay between preindustrial human populations and their environments</span>
 
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Revision as of 16:08, August 16, 2018

Name
Charlotte Lee
Affiliation
Duke Univ.
Email address
charlotte.t.lee@duke.edu

Biography

Charlotte Lee uses mathematical and computer modeling to study the nonlinear dynamics of structured populations. Most biologicalpopulations exhibit age, stage, size, or other structure, and most ecological interactions (between individuals, betweenspecies, or with the environment) ultimately involve nonlinearity, so very many interesting ecological problems includeboth. Her major research directions are 1) studying feedbacks between consumers and their resources and 2) understanding the interplay between preindustrial human populations and their environments

Involvement in the Complex Time Research Theme

Presenter

This user is listed as a presenter for the following agenda items:

  1. Population and the Environment: Analytical Demography and Applied Population Ethics/Co-evolution of population and environment - environment, food supply & demography

Attendee

This user is listed as an attendee for the following meetings:

  1. Population and the Environment: Analytical Demography and Applied Population Ethics