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R Dinapoli Member since: Tuesday, July 16, 2013

B.A. Anthropology, M.A. Anthropology (in progress)

My research involves the application of behavioral ecological models to archaeological problems with a focus on Pacific Island societies.

O Holland Member since: Friday, August 28, 2009

Ph.D. Modeling & Simulation, M.S. Electrical Engineering, B.S. Electrical Engineering

Simulation of emergent behavior systems and metrics associated with the detection and characterization of emergent phenomena.

Cj Castillo Member since: Wednesday, June 24, 2015 Full Member Reviewer

BS Economics, MA Mathematics (currently)

I am interested in modeling social behavior. I have been working in the field of labor economics and industrial relations and how micro-simulations determine aggregate outcomes.

Kristin Crouse Member since: Sunday, June 05, 2016 Full Member Reviewer

B.S. Astronomy/Astrophysics, B.A. Anthropology

I am a Postdoctoral Associate in the Ecology, Evolution and Behavior department at the University of Minnesota. My research involves using agent-based models combined with field research to test a broad range of hypotheses in biology. I have created a model, B3GET, which simulates the evolution of virtual organisms to better understand the relationships between growth and development, life history and reproductive strategies, mating strategies, foraging strategies, and how ecological factors drive these relationships. I also conduct field research to better model the behavior of these virtual organisms. Here I am pictured with an adult male gelada in Ethiopia!

I specialize in writing agent-based models for both research in and the teaching of subjects including: biology, genetics, evolution, demography, and behavior.

For my dissertation research, I developed “B3GET,” an agent-based model which simulates populations of virtual organisms evolving over generations, whose evolutionary outcomes reflect the selection pressures of their environment. The model simulates several factors considered important in biology, including life history trade-offs, investment in body size, variation in aggression, sperm competition, infanticide, and competition over access to food and mates. B3GET calculates each agent’s ‘decision-vectors’ from its diploid chromosomes and current environmental context. These decision-vectors dictate movement, body growth, desire to mate and eat, and other agent actions. Chromosomes are modified during recombination and mutation, resulting in behavioral strategies that evolve over generations. Rather than impose model parameters based on a priori assumptions, I have used an experimental evolution procedure to evolve traits that enabled populations to persist. Seeding a succession of populations with the longest surviving genotype from each run resulted in the evolution of populations that persisted indefinitely. I designed B3GET for my dissertation, but it has an indefinite number of applications for other projects in biology. B3GET helps answer fundamental questions in evolutionary biology by offering users a virtual field site to precisely track the evolution of organismal populations. Researchers can use B3GET to: (1) investigate how populations vary in response to ecological pressures; (2) trace evolutionary histories over indefinite time scales and generations; (3) track an individual for every moment of their life from conception to post-mortem decay; and (4) create virtual analogues of living species, including primates like baboons and chimpanzees, to answer species-specific questions. Users are able to save, edit, and import population and genotype files, offering an array of possibilities for creating controlled biological experiments.

Eileen Young Member since: Tuesday, September 10, 2019 Full Member

B.S., Liberal Studies, University of Wisconsin - Whitewater, M.S., Disaster Science and Management, University of Delaware

Graduate student in Disaster Science and Management at the University of Delaware.

Giorgio Gosti Member since: Tuesday, January 13, 2015

Magistral Degree, Physics, University of Rome, “La Sapienza”, Italy, Dottorato, Computer Science and Mathemaatics, University of Perugia, Italy, PhD, Institute for Mathematical Behavioral Sciences, Social Science, University of California, Irvine

My research focuses pn the intersection between game theory, social networks, and multi-agent simulations. The objectives of this scientific endeavor are to inform policy makers, generate new technological applications, and bring new insight into human and non-human social behavior. My research focus is on the transformation of cultural conventions, such as signaling and lexical forms, and on many cell models models of stem cell derived clonal colony.

Because the models I analyze are formally defined using game theory and network theory, I am able to approach them with different methods that range from stochastic process analysis to multi-agent simulations.

Enrico Crema Member since: Monday, November 30, 2009 Full Member Reviewer

PhD in Archaeology, MSc in GIS and Spatial Analysis in Archaeology, BA hons. (Laurea Magistrale) in Palaeoethnology

I Schubert Member since: Thursday, March 12, 2015

PhD student

My PHD project focuses on understanding factors influencing individual sustainable consumption behaviour and how these factors could promote a sustainability transition.

Chloe Atwater Member since: Monday, August 25, 2014

B.S. in Evolutionary Anthropology, UC Davis, PhD Student in Archaeology, ASU

Applying agent-based models to archaeological data, using modern ethnoarchaeological data as an analog for behavior.

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