Toronto Health Datathon
The Toronto Health Datathon 2023 is open to students, academics, clinicians, and professionals in any field wishing to advance their Machine Learning skills by implementing models to solve real-world problems […]
The Toronto Health Datathon 2023 is open to students, academics, clinicians, and professionals in any field wishing to advance their Machine Learning skills by implementing models to solve real-world problems […]
_x000D_ _x000D_ _x000D_ Join us for the launch of “Learning Together: Applying Equity, Diversity, and Inclusion Concepts in Research Ethics Review, (https://cris.utoronto.ca/related/learning-together-edi-reb/)” a new monthly series bringing together experts from […]
Our February topic in the “Learning Together: Applying Equity, Diversity, and Inclusion Concepts in Research Ethics Review” monthly series will dive deeper into medical versus social models of disability and […]
Current discussions of the metaverse and the increase in VR adoption make this an opportune time to consider how data can, is, and could be employed in virtual reality and […]
When it comes to anti-oppressive frameworks, there are comprehensive resources on how to be race and gender inclusive. However, while many understand that ableism is wrong, we might struggle with […]
In this workshop, participants will learn about various types of spatial data (vector, raster and tabular), the basic ArcGIS Online tools required to load, manipulate and visualize spatial data, and […]
This workshop introduces the basics of text analysis–including creating a textual collection, data cleaning and preparation, and analytical methods–using the Gale Digital Scholar Lab. No prior experience with text […]
In this workshop, participants will learn about various types of spatial data (vector, raster and tabular), the basic ArcGIS Pro tools required to load, manipulate and visualize spatial data, and […]
_x000D_ _x000D_ This session will cover details about the NSERC CREATEprogram and the internal LOI submission process for those interested inapplying. There will be former NSERC CREATE Committee member who […]
Prof. Miguel Hernan, Director of CAUSALab, and Professor from the Department of Biostatistics and Epidemiology, Harvard T.H. Chan, joins the Data Sciences Speaker Series (DSSS). The DSSS is intended as […]