Wes Graham Symposium

Saturday, October 1, 2022 3:00 pm - 3:00 pm EDT (GMT -04:00)

The Faculty of Mathematics and the Faculty of Health invite you to join us on Saturday, October 1, at the Wes Graham Symposium, a celebration of research and innovation made possible by the legacy of James Wesley (Wes) Graham.

This complimentary event begins at 3:00 p.m. in M3 1006 with welcome addresses from:

Hear about research, recognized and supported in Graham’s name, in artificial intelligence, data science, bioinformatics, health informatics, and healthcare applications:

  • Joanne McKinley, Director of Software Development, Google, 2020 Recipient of J.W. Graham Medal in Computing and Innovation
  • Edith Law, Associate Professor, David R. Cheriton School of Computer Science and co-directs the Human Computer Interaction Lab
  • Pedro Elkind Velmovitsky, PhD student in Public Health and Health Systems

Lectures will be followed by a reception, with refreshments, to present the J.W. Graham Medal in Computing and Innovation hosted in the M3 Atrium.

Schedule

Time Room Event
3:00 p.m. M3 1006 Wes Graham Symposium begins
3:05 p.m. M3 1006 Welcome and Opening Remarks
Vivek Goel
President, University of Waterloo
3:10 p.m. M3 1006 Greeting from the Faculty of Mathematics
Mark Giesbrecht
Dean, Faculty of Mathematics, University of Waterloo
3:15 p.m. M3 1006 Greeting from the Faculty of Health
John Hirdes
Professor, Faculty of Health, University of Waterloo
3:20 p.m. M3 1006 Greeting from the 2020 Recipient of J.W. Graham Medal in Computing and Innovation
Joanne McKinley
Director of Software Development, Google
3:25 p.m. M3 1006 Crowdsourcing Medical Time Series Annotation: Expertise, Ambiguity and Human-AI Collaboration
Edith Law, Wes Graham Research Fellow 2020-2021
University of Waterloo

Many crowdsourcing contexts involve tasks that are short and simple, requiring little expertise or context. In this talk, I will discuss projects in which we tackle the problem of crowdsourcing medical time series annotation, addressing questions such as: To what extent can we engage non-experts to annotate medical data? What tools can we design to enable small groups of experts to collaboratively handle ambiguous edge cases? What are the various roles that AI can play in medical crowdsourcing systems? We will describe two platforms---MechanicalHeart and CrowdEEG---and findings from several studies that provide insights into how we can design systems that coordinate human and machine intelligence to tackle these difficult annotation problems.
4:15 p.m. M3 1006 TBD
Pedro Elkind Velmovitsky, PhD student in Public Health and Health Systems
University of Waterloo
4:55 p.m. M3 1006 Closing Remarks
5:00 p.m. M3 Atrium Wes Graham Symposium Reception
Refreshments and presentation of the J.W. Graham Medal in Computing and Innovation

Parking

Complimentary parking will be available on Saturday, October 1 in lot X.

For closer parking, we recommend Lot Q. Visitor parking is available by purchasing a ticket from the pay and display machine. It accepts coin, WatCard, Visa or Mastercard.