Évènements

Register here! Instructor: Marie-Hélène Burle is an evolutionary and behavioural biologist by training, a Software/Data Carpentry instructor, and an open source advocate. She develops and delivers high-performance computing and machine learning training for researchers at Canadian universities on behalf of Simon Fraser University and the Digital Research Alliance of Canada.

Want to bring your data to life through interactive maps? This beginner-friendly workshop introduces the fundamentals of Geographic Information Systems (GIS) and geospatial data before guiding you step-by-step through creating your own interactive web map using ArcGIS Online. Perfect for beginners, this session combines essential theory with hands-on practice to help you confidently start mapping […]

You arrive at work to see your project’s primary investigator/research coordinator/key graduate student disappearing into a UFO’s buzzing blue beam; with all their project knowledge and disconnected laptop gone forever…or at least til the aliens return them home. While an alien abduction is unlikely to strike your research team, life happens: research coordinators get hired […]

You arrive at work to see your project’s primary investigator/research coordinator/key graduate student disappearing into a UFO’s buzzing blue beam; with all their project knowledge and disconnected laptop gone forever…or at least til the aliens return them home. While an alien abduction is unlikely to strike your research team, life happens: research coordinators get hired […]

Data deposit is an important part of the FAIR Principles and a crucial aspect of the research lifecycle, especially as it is becoming a requirement for more and more funders and publishers. This workshop will provide guidance on how to find an appropriate repository and how to prepare your data for deposit. It will also […]

Who gets counted, who gets excluded, and who benefits from the stories data tells? In this workshop, participants will be introduced to Data Feminism, which Catherine D’Ignazio and Lauren Klein describe as « a way of thinking about data, both their uses and their limits, that is informed by direct experience, by a commitment to action, […]