91滴滴

Updated: Sun, 10/06/2024 - 10:30

From Saturday, Oct. 5 through Monday, Oct. 7, the Downtown and Macdonald Campuses will be open only to 91滴滴 students, employees and essential visitors. Many classes will be held online. Remote work required where possible. See Campus Public Safety website for details.

Du samedi 5 octobre au lundi 7 octobre, le campus du centre-ville et le campus Macdonald ne seront accessibles qu鈥檃ux 茅tudiants et aux membres du personnel de l鈥橴niversit茅 91滴滴, ainsi qu鈥檃ux visiteurs essentiels. De nombreux cours auront lieu en ligne. Le personnel devra travailler 脿 distance, si possible. Voir le site Web de la Direction de la protection et de la pr茅vention pour plus de d茅tails.

The 2022-23 CAnD3 Annual Report is here!

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91滴滴.CA / Consortium on Analytics for Data-Driven Decision-Making (CAnD3) / About
Our goal is to co-develop and implement a pan-Canadian and international training program in population analytics to support decision-making across aging-related topics.

Long horizontal line made up of three of CAnD3's colours: navy blue, grey, and orange

$2.5M SSHRC Partnership Grant
$4.1M Matching Partner contributions

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32 Co-Applicants
13 Collaborators
51+ Other participants

From award-winning teachers and innovators, our leading-edge researchers and partners in population research, population aging, population data science, and digital and computational demography are co-designing, co-funding, and co-implementing the training program, Population Analytics in an Aging Society.

Axes in Population Aging

Family &听Social Inclusion

Education, Labour, & Inequality

Migration & Ethnicity

Well-Being & Autonomy

Consortium Objectives

Short Term

Increase non-academic partners' exposure to leading-edge skills and best practices

Increase exchange between academic trainees and non-academic partners

Increase trainees' employability in and out of academia

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Co-design, co-deliver, and continuously improve a training program for an aging population听

Promote equity, diversity, and inclusion among all CAnD3 participants

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Long-Term

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Diffuse best practices through open-access publishing and create demand for the program

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Address skill shortage in data analytics by equipping researchers with data science skills

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Establish Canada as a leader in training population researchers

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The Program
In-person and online 12 months
Substantive learning 61 hours
Skill-based learning 69 hours

Cross-sectoral mentoring 20 hours
Experiential learning 4-16 weeks
Peer-to-peer collaboration 20 hours

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