Tag: “We Count”

Learn more about We Count though this Walrus Talk on the project given by Jutta Treviranus.

A COVID-19 data monitor prototype test that was created to show how data gaps can be addressed, providing a way to find accessibility information that is not included in these data sets.

An overview of key findings from the AI Firm portion of the environmental scan conducted by the We Count team in May 2020.

An overview of key findings from the Data Service Provider portion of the environmental scan conducted by the We Count team in May 2020.

We Count worked with stakeholders to envision how the proposed technologies for the proposed Quayside “Smart City” project in Toronto could impact individuals with disabilities and their networks.

The pluralistic data infrastructure supports communities in taking collective ownership of data that relates to them and curating its relationships with data from other sources.

Our development team has been hard at work creating a wordle tool that will allow users to highlight either minority or majority answers.

An overview of key findings from the Postsecondary Education portion of the environmental scan conducted by the We Count team in May 2020.

Learning data science comes with a steep learning curve, and inaccessible tutorials, resources and tools create barriers. To support a more inclusive environment in the field of data science, We Count has created a resource library.

Project We Count evaluated the MIDP for Toronto’s Quayside from the perspective of persons in Toronto who have difficulty with or are excluded by the current urban plan.