| About
Me | Fefferman Lab |
Press
Coverage | Epidemiology
Research | Evolutionary
& Behavioral Ecology Research | Conservation
Research | CV |
| Public Health and Family
Medicine Home | The Initiative for the Forecasting and Modeling of
Infectious Disease (InForMID) | The Center
for Discrete Mathematics and Theoretical Computer Science (DIMACS) |
Nina H.
|
Understanding
Reproductive Fission in European Honey Bees We created a set of predictive, deterministic
models, each of a set of different 'traditional' hypothesis for the mechanism
triggering reproductive swarming in honey bees. We compared these outcomes to
one from a model of our own unifying, ultimate hypothesis. By looking at the
honey bee system, we were able to generalize the understanding of why
swarming occurs when it does in all systems that reproduce via reproductive
fission. (PDF
of the paper in Insectes Sociaux) This is in collaboration with Philip Starks at Tufts University. |
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Individual
Choice and the Evolution of Social Complexity We created a set of dynamic network models to evaluate how individual social affiliation preferences affected the stability and organizational success of social populations. Using a few basic definitions from social network theory, we were able to generate some promising insights into the possible pathways of evolution of complex social organizations once sociality had already evolved. (PDF of the paper in press in the Annales Zoologici Fennici) This is in collaboration with Kah
Loon Ng at National University of
Singapore and DIMACS. |
|
Nest Founding Behavior in Paper Wasps We are using game theory to analyze the choices
of paper wasp nest foundresses based on their probable
reproductive success in each of four strategies: solitary founding,
collaborative founding, abandoned-nest adoption or nest usurpation. (In press
in the Annales Zoologici
Fennici – please check back here soon for a PDF
version) This is in collaboration with Philip Starks at Tufts University. |
|
Drone Rearing and Tenure in Honey Bees We are examining drone rearing and maintenance from a game theoretic perspective, looking at the timing of rearing, and duration of maintenance, of drones as both a global optimization and a series of locally optimized choices to understand how the observed behaviors might be functionally adaptive. This is in collaboration with Philip Starks at Tufts University. |
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Differential Investment in Reproductive Offspring in Honey Bee Colonies As an extension of earlier work, we are using our understanding of both reproductive fission and the rearing of reproductives at various points in colony development to quantify the differential investment in male vs female reproductives. This is in collaboration with Philip Starks at Tufts University. |
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Optimal
Strategies of Task Allocation in Social Insects We are using cellular automata models to determine theoretically optimal strategies of task allocation, independent of task recruitment mechanisms, in the organization of social insect societies. This is in collaboration with Sam Beshers at the University of Illinois. |