Words and numbers (computer coding) stretched across a screen

The Canadian population is aging, and “Big Data” offers tremendous opportunities to provide key insights on urgent social, economic and health issues for our aging populations.  This is where CAnD3 (Consortium on Analytics for Data-Driven Decision-Making) comes in.

They are training students to sort through the data, interpret it, and provide accurate and impactful insights on social, economic, and health issues related to aging societies.  The trainees are also equipped with the skills to communicate these insights to a wide range of audiences.

During the first year of the program students build basic skills in population data science and computational population social science and gain an understanding of the data-to-decision-making processes in non-academic sectors.

In the second year of the program, students will use these skills, either through an internship with a partner company or an applied research project.  CAnD3 is currently working with 32 partners from academic, public, not-for-profit, and private sectors in Canada, U.S., UK, and Germany.

Visit CAnD3’s website to learn more about the program.