Introduction to Stop Motion
This session will occur online and is facilitated by the University of Toronto Scarborough Campus Makerspace. Learn the basics for creating a Stop Motion video using Stop Motion Studio app […]
This session will occur online and is facilitated by the University of Toronto Scarborough Campus Makerspace. Learn the basics for creating a Stop Motion video using Stop Motion Studio app […]
This workshop provides an introduction to using SPSS to perform common data management and basic statistical analysis tasks. Participants will work through hands-on exercises in SPSS, and will learn to […]
Wondering how you can boost your research profile? The Jackman Humanities Institute (JHI) and the Centre for Research Innovation & Support (CRIS) invite early-career researchers to a workshop on planning […]
This hands-on workshop showcases tips and tricks to power up your research using the world’s most popular search engine. We will take a quick look at how Google […]
In partnership with Academic Success, Office of Student Life This is part 2 of a 2 part workshop series where we will use evidence-based learning strategies and mindfulness practices to […]
In Conversation With…Visiting Topics in EDI in Research & Innovation is a series of discussions with experts at University of Toronto on how to embed best practices and strategic EDI approaches […]
How do you know if you have a winning product/service concept? This workshop will introduce you to market research methods, techniques, and tools that are relevant in a startup environment […]
The HumanResearch Ethics Unit invites you to join this information sessionto address all types of research involving human participants in the socialsciences, humanities and education. Facultymembers, graduate students, and staff […]
Qualitative research involves working with qualitative data sources, such as interview transcripts, reports, photos, and diaries. NVivo is a data management and analysis tool that helps work with these types […]
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. […]