Modelling demographic processes in populations
Date: 28 August – 8 September 2017
Venue: Centre for Biodiversity Dynamics, NTNU, Trondheim, Norway
Computers: Bring your own laptop with latest R and JAGS
Registration: NOK 5000 (normal rate), NOK 2500 (student rate)
The course is composed of the two semi-separate workshops, Stochastic population dynamics (see http://www.phidot.org/forum/viewtopic.php?f=8&t=3443) and Bayesian integrated population modelling (IPM) using JAGS (see http://www.phidot.org/forum/viewtopic.php?f=8&t=3442), given 28th August – 1st September and 4th September – 8th September 2017 at the Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, Trondheim, Norway. To get 7.5 ECTS the course participants are required to attend both workshops as well as pass a written assignment. It is of course possible to attend one or both of the workshops without applying for the PhD course (see announcements for the workshops below).
Ecologists have become increasingly aware of the benefits of thinking in terms of separating their models into an observational process and a state process, when estimating parameters from data.
The first workshop of the full PhD course will introduce theoretical models for stochastic population dynamics as well as state-of-the-art applications of the theoretical framework. Participants will also get hands-on experience in performing related statistical analyses. While workshop 1 of the PhD course focuses on the theory behind population dynamical processes, such as the influence of stochasticity and age structure on demographic processes, workshop 2 will focus on how state-of-the-art Bayesian Integrated Population modelling (IPM) may allow and improve estimation of parameters of such processes. IPM allows great flexibility in construction of statistical models that simultaneously account for the specifics of the various data available and the population dynamical process studied.
To apply for the PhD course you need to send your application to Vidar Grøtan (email@example.com), with CC to Michael Schaub (firstname.lastname@example.org) and Marc Kéry (email@example.com describing your general background and in particular your knowledge in statistical modeling, R and BUGS software and capture-recapture, by 31 May 2017 at the latest.