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AET16 Applied Evolutionary TheoryA hands-on introduction to creating and analyzing models of evolutionDownloadable poster in PDF |
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IMPORTANT DATES for this Course
Candidates with adequate profile will be accepted in the next 72 hours after the application until we reach 20 participants. |
Instructors: |
Claudia Bank is heading the Evolutionary Dynamics group at the Instituto Gulbenkian de Ciência in Oeiras, Portugal. She studies
adaptation and speciation at the interface between theoretical and empirical biology using a combination of theoretical modeling, computational
methods, and statistical data analysis. |
Rafael Guerrero is a population geneticist working in the Department of Biology at Indiana University, Bloomington (USA). In his research,
he uses a combination of computational and theoretical approaches to understand the role of genome structure and gene regulation in processes of
population divergence. |
Jan Engelstädter is an evolutionary biologist based at The University of Queensland in Brisbane, Australia. He is broadly interested in the evolutionary biology of sexual processes, parasitism, and the interplay between these phenomena. His group uses a combination of mathematical modelling and experimental work to address fundamental questions within this exciting field. Jan did his PhD at University College London, working with Greg Hurst on the evolution of reproductive parasites such as the infamous bacterium Wolbachia. Following a short postdoc at Harvard University with David Haig, he did another postdoc with Sebastian Bonhoeffer at ETH Zurich where, in 2011, he also became a junior group leader. In 2012 is started a position at The University of Queensland where he is currently an ARC Future Fellow and Senior Lecturer. Current projects in which Jan's lab is involved include the evolution of gene exchange in bacteria, the evolution of antibiotic resistance, recombination rate evolution during speciation, and the evolution of asexual reproduction in animals. For more information, please visit Jan's lab website. Affiliation: The University of Queensland, Brisbane, AU |
| Training Assistants from the IGC: Ana-Hermina Ghenu, Inês Fragata, and Alexandre Blanckaert |
Course DescriptionFor much of its history, our knowledge of evolution has been based heavily on theoretical models and hypotheses. In the age of novel experimental and technological approaches, we are now increasingly able to evaluate this theory; however, the basics of how and why to develop and analyze a simple model are often forgotten in the process of NGS analysis. This course aims at training evolutionary biologists in classical modeling and teach them ways to approach their own research questions through evolutionary theory.Primarily through interactive hands-on sessions, complemented by an introduction to the cornerstones of modeling and its application to data analysis, this course will familiarize the participants with ways of approaching a research question with a simple model, and different strategies at gaining insight from the model. In groups of two, course participants will develop and analyze their own toy model in the course and present their findings to the group on the last day. Topics that will be covered in the course include the following:
Target audienceThis course is targeted at evolutionary biologists with little or no explicit training in evolutionary modeling, who are interested in adding modeling approaches to their repertoire.Pre-requisitesProgramming experience with R, Python, C++, or Mathematica is helpful but not necessary. Participants with little or no programming experience are strongly advised to attend the optional free sessions providing an introduction to Mathematica and to reproducible modeling in the afternoon of the first day (Monday, Nov 6th at 2:30PM). |
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Instituto Gulbenkian de Ciência, Apartado 14, 2781-901 Oeiras, Portugal Last updated: Oct 25th 2016 |