Evaluating Models with Ecological Data

August 16-25, 2021

Online and hybrid training.

Courses will be online with the possibility of organizing local hubs (according to public health directives).

Courses will be conducted in English, with bilingual support.

Content

The objective of this course is to train students methods and skills to fit models to ecological data. Emphasis will be put on algorithms and computational methods in order to develop abilities to solve a wide range of problems.

Topics:

• Probability problems and stochastic modelling
• Parameter estimation by maximum likelihood
• Optimization algorithms
• Bayesian analysis modelling
• Representation of the uncertainty

Instructors:

Dominique Gravel et Andrew MacDonald (Université de Sherbrooke)

Guest Speakers:

• Timothée Poisot (Université de Montréal)
• Pedro Peres-Neto (Université Concordia)
• Sandra Hamel (Université Laval)
• Marc Bélisle (Université de Sherbrooke)

More information on the content and format is available here: https://www.usherbrooke.ca/sciences-ete/en/summer-school-in-biodiversity-modelling-2021/format-and-content/

A detailed course description will be available shortly.

Fees

The registration fee is $250.

Scholarships are available through the BIOS² training program – a NSERC CREATE program. Announcement of the recipients will be made on July 30, 2021.

NOTE: All participants must pay the registration fee to confirm their participation. If you are a BIOS2 Fellow or if you are awarded a BIOS2 Scholarship, you will receive a $250 refund at the end of the summer school.

Refund policy

Please note that no refunds will be made in the event of a cancellation.