Tag: biodiversity-science

Workshop R and Git: from code to collaboration

Posted by on in Led by fellows, Training events, Training Session

BIOS2 is holding a one-day workshop on programming and version control for data science and research. Our newly Certified Carpentries Instructors Francis Banville and Gabriel Dansereau will be giving an introduction to the Tidyverse, a collection of R packages for data manipulation and visualisation. They will also introduce Git, a collaboration and version control tool useful for research work. The lessons covered will be inspired by those developed by The Carpentries (Data Analysis and Visualization in R for Ecologists and Version Control with Git).

The workshop is free and will take place in person at the Campus MIL of University of Montreal (with snacks!) and the language of instruction will be French. We have a very limited number of places, so register early!

You must have R and RStudio and Git Bash installed before the workshop. If you need help with installation, please email Francis or Gabriel, or arrive 60-30 minutes before the workshop starts.

What: Workshop on R (Tidyverse) and Git
When: Saturday 18 January from 9:00 to 17:00 ET
Where: Campus MIL (Université de Montréal), room B-2061
Contacts: Francis Banville (francis.banville [at] umontreal.ca) and Gabriel Dansereau (gabriel.dansereau [at] umontreal.ca)

Registration form:

Dealing with spatial data in R – workshop

Posted by on in Led by fellows, Training events, Training Session

The first workshop of the 2024-2025 calendar will be about spatial data analysis, and registrations are now open! Perfect for researchers and data analysts with a foundational understanding of R, this workshop will cover Google Colab, reproducible workflows, biodiversity and spatial data sets available online, shapefile and raster operations, and Google Earth Engine (GEE) integration. You should have access to Google Suite applications like Google Drive and Google Colab via an email account to participate. The workshop instructors are Lionel Leston (University of Alberta) and Mobina Gholamhosseini (Université de Montréal).

Registration Details

Date: September 17th, 19th, 24th and 26th, 2024
Time: 10 am PT / 1 pm PT
Venue: Online (Zoom and Google Colab)
Registrations: https://us02web.zoom.us/meeting/register/tZUkdOmsqT4vGNTLsbPoZIezkRH2x6Vhc8zJ

Registrations are free and open to everyone, but seats are limited. If you have any questions, don’t hesitate to get in touch with us at pgm_bios2 [at] usherbrooke.ca.

Modeling and computational analysis of biological systems

Posted by on in Led by fellows, Training events, Training Session

This June 11 and 13, BIOS2 will host a new training on mathematical models in Ecology, hosted by our fellow Maxime Clenet!

This course is designed to deepen your understanding of theoretical models in ecology, such as population dynamics (Lotka-Volterra), spatial dynamics (metapopulation), or epidemiological models (SIR). The training is divided into two main parts.
First, we will look at the key steps in modelling and formalizing a biological problem in terms of equations and try to answer the questions: Why is it useful? And what are the main current theoretical approaches in population dynamics?
A rigorous mathematical analysis of the model will be carried out by presenting the main methodological tools useful for its analysis, such as equilibrium, Jacobian matrices and stability. This analysis will be integrated in the form of practical exercises and exchanges between the students.

The theoretical part will be followed by a numerical and data-oriented interpretation. You’ll learn how to develop a numerical method to find a solution to dynamical systems with some examples. At the end, the participants will have the opportunity to develop their own numerical simulations for their favourite dynamical model using an adapted and easily accessible programming tool (Python or R depending on programming preferences).

This training is an interdisciplinary project that aims to enhance technical skills, theoretical ecology understanding, and numerical and computational abilities. Trainees from diverse backgrounds are welcome, and the proposed formula will benefit everyone. The training will provide an opportunity for everyone to work on a simple model in three stages: understanding the basic mathematical ideas behind the model, the questions involved and the final numerical implementation of the model.

What: Short course on mathematical models in Ecology (8h)
When: June 11 and 13, 10am-4pm EST (includes lunch break)
Registration: https://us02web.zoom.us/meeting/register/tZMvcO2sqDMuHtOMCaTV2d_ro0bow8UfbZX9