VECTOR ENDLESS SUMMER SCHOOL: VECTOR COVID 19 RESEARCH COLLABORATION

VECTOR COVID 19 RESEARCH COLLABORATION

In response to the COVID 19 pandemic, the Vector Institute is rapidly assembling partners in government and industry to support an applied research effort aimed at 1) personalised acute care risk prediction, and 2) population-level transmission risk prediction. In parallel, we are working with legal/academic collaborators to form a privacy-compliant data sharing and governance framework to bring together multiple sources of health data to fuel AI model development. The goal is to create evidence-based tools to inform the response to this and future pandemics.

We have modified our topics for the upcoming ESS sessions to bring you news about Vector's research response to the COVID-19 pandemic. Details will be updated on the Eventbrite registration page as they are confirmed.

April 15: Using NLP and 3D Mapping to Combat COVID-19

June 10: Data Privacy and Governance in a Pandemic

July 15: Health and Economic Stimulus initiatives

APRIL 15, 2020 AGENDA

VECTOR COVID 19 RESEARCH COLLABORATION

9:00

Welcome and Introduction | Natalie Klym, Vector Institute

Overview of Vector COVID 19 Research Collaboration | Matthew Johnson, Vector Institute

Using NLP to Combat COVID 19

9:05

Overview of Vector’s NLP-Related Initiatives | Sedef Kocak, Vector Institute

9:10

Kaggle Competition | Seung Eun Yi, Layer 6

9:40

Kaggle Competition | Connor Cowling | Thomson Reuters

10:10

CiteNet: An AI-Driven Search Tool for COVID-19 Scientific Literature | Duncan Forster & John Giorgi, Vector Institute

3D Mapping the Coronavirus

10:40

CyroSPARC | David Fleet, Vector Institute

11:10

Adjourn

Due to COVID 19 health concerns and policies, we will be running this session remotely. You will receive Zoom details upon registration.