This project is funded by a Partnership Development Grant from the Social Sciences and Humanities Research Council of Canada. 
For more information on the research team members, please visit their websites.
Daniel Amyot: https://www.site.uottawa.ca/~damyot/
Lysanne Lessard: https://telfer.uottawa.ca/en/directory/lysanne-lessard/
John Sylvestre: https://uniweb.uottawa.ca/members/756/profile
The Alliance to End Homelessness Ottawa: https://www.endhomelessnessottawa.ca/
The research team is comprised of Katrine Sauvé-Schenk, Daniel Amyot, Lysanne Lessard and John Sylvestre from the University of Ottawa, in partnership with the Alliance to End Homelessness Ottawa.
To better meet the growing demand for affordable and social housing in Canada, stakeholders need access to system-level data about households’ housing needs and the supply of housing. This type of data is currently siloed in databases that are not openly accessible, organized, or integrated to produce timely information that can be used for decision making.
To tackle this data challenge, the Alliance to End Homelessness Ottawa, in partnership with University of Ottawa researchers, and guided by an Advisory group, are collaboratively developing the DASH (Decisions for Affodable/Social Housing) system.
DASH will support the integration, analysis and visualization of data from existing databases, such as chronological social housing waitlists, shelter system lists and inventories of housing stock. As an open solution, it will allow diverse stakeholders, such as service users, to query and visualize the data and engage in the housing decision making process.
While the long-term vision for DASH is to provide a transparent picture of affordable and social housing in Canada, the initial prototype system is being developed for use at the community level with plans to develop a roadmap for national level implementation.