BIOS2 Workshop: an (un)reproducibility detox

Postponed to a later date. Stay tuned.

It’s renovation season and there’s no better time to revisit the way we do research!

Hosted by BIOS2, this 7-day spa-like detox routine will make you question and re-organize your routine for better productivity and reproducibility of your AMAZING science. Come learn together about trust in open science, open project design, version control, virtual environment and more!

This reproductibility workshop will run from July 4 to July 10 2021, with more offline activities and less expositive tutorials. 100% fun activities that don’t feel like work!

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.

Training: Creating Shiny applications with R

BIOS² is hosting a training session about creating Shiny applications with R!. This online training will be led by Dr Andrew MacDonald (UdeS), on June 22 and 23, 2021!

This practical training will cover the basics of Shiny app development. You’ll learn the principles of reactive programming, how to create interactive options and displays for your users, and how to layout and style your Shiny app. 

Training: Point-count data analysis

BIOS² is hosting a training workshop about analysis of point-count data in the presence of variable survey methodologies and detection error. This online training will be led by Dr. Péter Sólymos (University of Alberta), starting on March 16, 2021.

This training workshop is aimed towards researchers analyzing field observations, who are often faced by data heterogeneities due to field sampling protocols changing from one project to another, or through time over the lifespan of projects, or trying to combine ‘legacy’ data sets with new data collected by recording units.