Training Program Objectives
Across the duration of the 12-month training program, participants will:
- Acquire knowledge in population agingÌýfrom multiple disciplinary perspectives in relation to four axes.
- Build basic skills in population data science and computational population social science.
- Gain an understanding of the data-to-decision-making processes in non-academic sectors.
- Build pan-Canadian, multidisciplinary, intersectoral, and international professional networks.
- Develop professional skills, such as group discussion and meeting facilitation (online and in-person).
- Apply knowledge, analysis, and skills to investigating real-worldÌýresearch questions and communicating results.
Skills Training Areas*
Population Aging Research Modules
Population research using linked administrative data (Module partner: Statistics Canada)
Research replicability and workflow management (Module partner: Canadian Research Data Centres Network)
Inclusion, Diversity, Equity and Accessibility (IDEA) (Module partner: Women and Gender Equality Canada; Statistics Canada)
Population Data Science & Computation Population Research Modules
Social media and demographic methods (Module partner: University of Toronto)
Population data visualisation (Module partners: Population Data BC &ÌýGeographic Information Centre, ÎÛÎÛ²ÝÝ®ÊÓƵ University)
Machine learning for social scientists (Module partner: Quantitative Methods in the Social Sciences, ISERP, Columbia University)
Data-Driven Decision-Making Modules
Population data visualization for decision-making audiencesÌý(Module partner: Statistics Canada & Health Canada)
Evidence-informed decision-making and policy (Module partner: (Policy Community Partnership Office)
Knowledge mobilization to maximize research impact (Module partner: Statistics Canada and others)
Plain language writing for data-driven decision-making
Ìý
Substantive Training Areas*: Population Aging Through Four Axes
Lectures and learning materials will be provided by consortium members and their colleagues from multiple disciplines, universities, and countries. See our events page for current and previous CAnD3 Lunch&Learn lectures.Ìý
Family and Social InclusionÌýThis axis examines how families have changed over time, and how these changes affect family member’s health, wealth, and happiness. |
Education, Labour, and InequalityThis axis examines how critical institutions of education and work shape our lives, and their interplay with one of the most critical policy challenges of the past decades, namely the secular rise in inequality. |
Migration and EthnicityÌýThis axis examines how migration, ethnicity and indigenous issues are interwoven in the increasing pace of globalisation that we have witnessed in the 21st century. |
Well-Being and AutonomyÌýThis axis examines how social and economic factors, as well as institutions and policies, shape individuals’ vulnerability to and experience of well-being and autonomy. |
*Because the CAnD3 training program is co-constructed by its members and partners, responding to ÎÛÎÛ²ÝÝ®ÊÓƵ partner needs, the specific modules in each skills and substantive area are subject to change.
Training Timetable
The exact order and title of topics are currently in progress and may be subject to change. See CAnD3 2021-22 calendar
Ìý |
September - June |
Jul - Aug |
Total |
|||
---|---|---|---|---|---|---|
Substantive |
Monthly modules, including lectures, readings, and group discussions; Both consortium-wide and trainee-only learning activitiesÌý |
Not applicable | 60 hours | |||
Skills-Based |
Monthly modules of hands-on skills training & assignments; Both consortium-wide and trainee-only learning activities |
Not applicable | 70 hours | |||
Peer-to-Peer |
Bi-weekly group learning activities and supportÌý |
Not applicable | 20 hours | |||
ePortfolio |
Reflective learning through ePortfolio |
20 hours | ||||
Experiential |
Applied research project (variable duration) OR |
160+ hours | ||||
Optional paid internship |
160+ hours | |||||
Trainees can expect to spend min average of 5 hours/week on training plus an applied research project or internship |
Fostering Exchange
The Population Analytics in an Aging Society Training program fosters international, multidisciplinary, and intersectoral exchange through:
Experiential LearningÌý
CAnD3 experiential learning includes:
In keeping with the co-construction model of CAnD3, our partners will provide problems, research questions, data, context, scope, links to decision-making, and key deliverable requirements for internship and applied research projects. Academic, government, not-for-profit, and private partners will be active in supervising and mentoring trainees for internships and applied research projects.
Expected OutcomesÌý
Training Outcomes
|
Academic Outcomes
|
|
|
Ready to become a CAnD3 Fellow?
Reach us at cand3 [at] mcgill.ca if you have any questions.