The COVID-19 pandemic has required the exploration of new tools that facilitate virtual collaboration among researchers. This session will explore three different Microsoft 365 high-performance collaboration tools: Teams, SharePoint and […]
The Toronto Data Workshop (TDW) is a weekly hour-long discussion where academia and industry come together to share best practices for the initial data-centric steps in any applied statistics project. […]
Join a Live Discussion to reflect as a network of community-based researchers on bridging Indigenous and Western research paradigms. This Winter and Spring 2021, CBRCanada is linking webinars with live […]
Zotero is a free open-source tool to help you collect, organize, cite, and share research. Not only can Zotero simplify your citations, it can also help you organize your reading […]
This event is part of The BRIDGE Indigenous Enterprises and Social Finance workshop series. Is Reconciliation dead? Examining the truth in "Truth and Reconciliation" in the context of ethical and […]
Are you interested in analyzing large bodies of texts, or teaching text analysis in your class? Join us to learn about Constellate, a new tool for text analysis. Constellate provides […]
Join the staff from the Division of the Vice-President, Research & Innovation (VPRI) for an introduction to the My Research Applications & Agreements (MRA) Renewal Initiative. Learn about the helpful new features coming to MRA and get a first look at the new system. The workshop includes time for audience questions._x000D_ […]
This session will occur online and is facilitated by the University of Toronto Scarborough Library. It is part of the library's Digital Tools Series: 4 workshops( Podcasting with Audacity, Intro […]
Having trouble with finding the time and motivation to write? Shut Up and Write is a chance for academic writers within the UofT community to write productively in a communal […]
The Toronto Data Workshop (TDW) is a weekly hour-long discussion where academia and industry come together to share best practices for the initial data-centric steps in any applied statistics project. […]
