Evaluating Knowledge Transfer
How can you evaluate the effectiveness of knowledge transfer? Knowledge transfer or KT is a term that encompasses a number of distinct processes that are aimed at bringing “knowledge to action.” Most knowledge to action cycles include evaluation as a core component. Increasingly, funders are asking grant recipients to engage...
What can hospital emergency records tell us about the incidence of work-related traumatic injuries in Ontario?
Every year, hospital emergency departments in Ontario treat an average of 100,000 cases of work-related injuries or illnesses. What can the records of these cases tell us about the reporting of work-related injuries and illnesses to Ontario’s Workplace Safety and Insurance Board (WSIB)? In this presentation, Dr. Cameron Mustard shares...
Trainee Rounds seminars: AI in Medicine
Come hear from two emerging University of Toronto researchers who are exploring ways for Artificial Intelligence (AI) to improve healthcare. • Anglin Dent, Department of Laboratory Medicine & Pathobiology, Temerty Faculty of Medicine will discuss: "Development and Potential Applications of Unsupervised Digital Pathology Tools in the Resolution of Tumor Heterogeneity"...
Virtual Graduation Celebration Class of 2021
Congratulations to the Class of 2021! We will be recognizing your achievements virtually! Please join Dean Steini Brown for a virtual celebration of your graduation from The Dalla Lana School of Public Health! An email with the link will be sent to you two hours before the event. You can...
Behind the Mask: Ethical Issues Revealed by COVID-19 in Canada and Beyond
The University of Toronto Joint Centre for Bioethics is this year's host for the 2021 Canadian Bioethics Society Annual Conference “Behind the Mask: Ethical Issues Revealed by COVID-19 in Canada and Beyond.” The virtual event will be held from May 26-28. The theme is intended to capture issues and concerns...
The Path to an Effective Vaccine – Lessons Learned in Real Time
Join experts from the Dalla Lana School of Public Health as we discuss Canada's path to COVID-19 vaccine approval and rollout. About this event Panel participants will discuss Canada's vaccine approvals process and examine rollout with a focus on efficacy, equity and ethics. Issues around communication and vaccine hesitancy will...
2021 DLSPH Biostatistics Research Day Virtual Student Poster Presentations
Posted on behalf of the DLSPH Biostatistics Research Day Organizing Committee... The Division of Biostatistics, Dalla Lana School of Public Health, at the University of Toronto will be hosting the 2021 DLSPH Biostatistics Research Day Virtual Student Poster Presentations on May 18th & 19th. The event brings together statistical communities...
MAP Evaluation Series: An Introduction to Evaluation Capacity Building and Evaluative Thinking: Strategies to Embed Evaluative Practices in Your Work
About the workshop How can we support organizations to embed evaluative practices within their day-to-day operations? This webinar focuses on strategies to facilitate the adoption of these practices through the principles of Evaluation Capacity Building (ECB) and Evaluative Thinking (ET). ECB provides evaluators with a model to incorporate evaluation routinely...
Webinar: Introducing the CanPath Student Dataset
CanPath has developed a Student Dataset that provides students the unique opportunity to gain hands-on experience working with CanPath data. The CanPath Student Dataset is a synthetic dataset that was manipulated to mimic CanPath’s nationally harmonized data, but does not include or reveal actual data of any CanPath participants. The...
STAGE International Speaker Seminar Series (ISSS) with Dr. Heather J. Cordell
A Bayesian network approach incorporating imputation of missing data enables exploratory analysis of complex causal biological relationships Abstract: Bayesian networks can be used to identify possible causal relationships between variables based on their conditional dependencies and independencies, which can be particularly useful in complex biological scenarios with many measured variables....