Intro to Statistical Analysis using R – May 7, 2025
In this class, we are going to take the named entities output from the Named Entity Recognition using LLMs class and apply a statistical model to analyze the data. This […]
In this class, we are going to take the named entities output from the Named Entity Recognition using LLMs class and apply a statistical model to analyze the data. This […]
Hosted by the Centre for Research & Application in Fluid Technologies. The 2025 CRAFT Symposium is their 18th annual event! Some features of this year’s event include: Keynote lectures given by […]
Thank you for your interest, this workshop is full. You can access the recording and materials from the webinar: Introduction to Scopus AI and Web of Science Research Assistant (RA) to […]
Learning Objectives: Examine building a consensual culture by recognizing power dynamics and understanding boundaries and consent; identify and locate relevant U of T policies regarding workplace conduct. Distinguish between acting […]
This 2-hour workshop provides researchers an opportunity for guided instruction and practice using Scopus AI, Web of Science Research Assistant (RA), and other academic AI search engines to explore the […]
This session introduces tools, techniques and best practices of 3D printing, including the basics of 3D printing, an introduction to the MADLab space, and the models of 3D printers available […]
May E-Learning Event, hosted by Community-Based Research Canada Urban trees, whether individually or collectively, are essential components of livable, sustainable, and healthy communities, providing residents with numerous ecological and social […]
Join The Alliance for a virtual town hall on Thursday, May 8 from 2 – 3 p.m. ET for an update on the Alliance’s Statement of Interest (SOI) submission to […]
Join us for the next workshop in the CRIS series Drawing Across the Disciplines (https://cris.utoronto.ca/related/drawing-across-the-disciplines/) presented in collaboration with Professor Nicolas Woolbridge and the Biomedical Communication Program. As with past […]
In this class, we are going to take the named entities output from the Named Entity Recognition using LLMs class and apply a statistical model to analyze the data. This […]