Date/Time
Date(s) - 26/09/2024 11:00 am - 12:00 pm
September’s session is all about Machine Learning and Open Science. With training data impacting research results, and more journals requesting data deposit: what’s the best way to share ML-based science and ensure research is reproducible and valid? Join us Thursday, September 26 at 11 AM for a great discussion between Dr. Alemu Gonsamo (Canada Research Chair in Remote Sensing of Terrestrial Ecosystems, Earth, Environment & Society) and Ricardo Barros Lourenco (Earth, Environment & Society); and Dr. Cynthia Lokker (Health Research Methods, Evidence & Impact) and Rick Parrish (Programmer/Analyst, Health Information Research Unit).