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VERSION:2.0
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CALSCALE:GREGORIAN
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DTSTAMP:20210125T195919Z
UID:5e879b26-dbdb-45b6-a16b-e77c9d3f08eb
DTSTART;VALUE=DATE:20161107
DTEND;VALUE=DATE:20161111
DESCRIPTION:For many of its history\, our knowledge of evolution has been b
ased heavily on theoretical models and hypotheses. In the age of novel exp
erimental and technological approaches\, we are now increasingly able to e
valuate this theory\; however\, the basics of how and why to develop and a
nalyze 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 evol
utionary theory. \nPrimarily through interactive hands-on sessions\, compl
emented by an introduction to the cornerstones of modeling and its applica
tion to data analysis\, this course will familiarize the participants with
ways of approaching a research question with a simple model\, and differe
nt strategies at gaining insight from the model. In groups of two\, course
participants will develop and analyze their own toy model in the course a
nd present their findings to the group on the last day.\nTopics that will
be covered in the course include the following:\nWhy and how are models us
eful?\nHow to write down/develop a model\nHow simple/complicated should a
model be?\nWhich modeling approach/programming language should I use for m
y question?\nHow to nail down a question with a model\nExtracting results
from an equation/simulation\nHow to evaluate a model using empirical data\
nParticipants can use their preferred programming language during the hand
s-on sessions\, and free access to Wolfram Mathematica will be provided. T
he instructors have modeling experience using Mathematica\, R\, Python\, a
nd C++.
LOCATION:Instituto Gulbenkian de CiÃªncia
SUMMARY:AET16 Applied Evolutionary Theory
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