Summer school in Biodiversity Modelling 2022

The 2022 edition of the summer school, which will take place from August 22 to 26, 2022 at the Centre de Villégiature Jouvence in Orford, will be on the theme: Biodiversity changes and data visualization. The course will take the form of a workshop during which the students, in collaboration with local organizations involved in biodiversity monitoring, will develop a web platform for visualizing biodiversity changes.

Summer School in Biodiversity Modelling 2021

The Summer School in Biodiversity Modelling will take place from August 16-25, 2021 under the theme:

Evaluating Models from Ecological Data

Led by Pr. Dominique Gravel and Dr. Andrew MacDonald (Université de Sherbrooke). Training focused on problem solving and guest speakers (Professors Timothée Poisot, Pedro Peres-Neto, Sandra Hamel, Marc Bélisle and others).

Online and Hybrid Training. The format of the intensive summer school has been revised to accommodate COVID’s restrictions on travel and large group activities. Activities will be accessible remotely, but local gatherings may be arranged if the situation allows.

Summer School in Biodiversity Modeling

It is now confirmed!

The Summer School in Biodiversity Modeling, proposed by BIOS2, IELab and Université de Sherbrooke will be held online from August 16 to 27, 2021 and will focus on Evaluating models with ecological data.

Registration will open soon. Stay tuned.

Summer school: Data-driven ecological synthesis class

Application deadline is Dec. 31, 2019.

We are accepting applications for the fifth edition of the Data-Driven Ecological Synthesis intensive class, held from April 27 to May 3 at the Station de Biologie des Laurentides, Université de Montréal. The aim of this class is to train ecologists in state of the art techniques for data management and analysis for synthesis research. It is co-taught by Prof. Timothée Poisot and Dr. Andrew MacDonald. More information, including a link to the application form, can be found here: https://poisotlab.io/ddes/. Students from Québec universities can claim 4 credits for this class.