Leveraging AI in Canada’s Social Response to COVID

Data and AI helping anticipate social needs before they become crises.

Project Budget* - $0.7M

Partner Co-investment - $0.1M

Supercluster Co-investment - $0.6M

HelpSeeker Inc. – $0.60 M

*Contracted amounts as of September 30, 2020. 

Project Collaborators

Project Overview

The COVID-19 pandemic has resulted in increased isolation, declining incomes, reduced access to care and other stressful challenges – all impacting Canadian’s social well-being. Issues such as homelessness, mental health, addictions, domestic violence and community safety have been amplified. To date, our social responses during the pandemic have been primarily reactionary, rather than planned and proactive.

Canada has a robust social safety net to help individuals and communities tackle the challenges, but there are hurdles for people to navigate the complex web of more than 250,000 support services across the country. As a result, many citizens in need fall through the cracks.

Led by HelpSeeker, this project is harnessing the power of artificial intelligence and machine learning to provide decision makers insights that can focus their COVID-19 responses and mitigate its long-term social impacts.

HelpSeeker is partnering with A Way Home Canada, AltaML, Corsac Technologies, Canada Mortgage and Housing Corporation, the Faculty of Social Work at the University of Calgary and the Canadian Observatory on Homelessness at York University.

The project team is leveraging HelpSeeker’s dataset of more than 134,000 services across Canada, as well as hundreds of thousands of interactions from users with these services. A new data pipeline will bring together additional real-time data from governments, public agencies and community groups. This integration of information will provide valuable insights and help target funding and programming related to homelessness, domestic violence and suicide.

The goal is to help government and community leaders anticipate the social needs of Canadians before they become crises. The project team plans to take their learnings from this pilot and support other key areas such as mental health, housing needs and community safety.

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