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CAnD3 Training Program Syllabus

CAnD3’s primary goal is to collaboratively develop, implement, and deliver an innovative training program – Population Analytics in an Aging Society – to equip the next generation of academic and applied population researchers with the knowledge, skills, and networks to support data-driven decision-making in aging societies. From its inception in 2020, CAnD3 has delivered our annual, international fellowship program anchored in interdisciplinary and intersectoral exchange to graduate students and post-doctoral researchers.

Training Program Objectives

Across the duration of the 12-month training program, participants will:

  1. Acquire knowledge in population aging from multiple disciplinary perspectives in relation to four axes.
  2. Build basic skills in population data science and computational population social science.
  3. Gain an understanding of the data-to-decision-making processes in non-academic sectors.
  4. Build pan-Canadian, multidisciplinary, intersectoral, and international professional networks.
  5. Develop professional skills, such as group discussion and meeting facilitation (online and in-person).
  6. Apply knowledge, analysis, and skills to investigating real-world research 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 & Geographic Information Centre, McGill 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 audiences (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


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. 

Family and Social Inclusion 

This axis examines how families have changed over time, and how these changes affect family member’s health, wealth, and happiness.

Education, Labour, and Inequality

This 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 Ethnicity 

This 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 Autonomy 

This 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 changing 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 PDF icon CAnD3 2021-22 calendar


September - June

Jul - Aug



Monthly modules, including lectures, readings, and group discussions; Both consortium-wide and trainee-only learning activities 

Not applicable 60 hours


Monthly modules of hands-on skills training & assignments; Both consortium-wide and trainee-only learning activities

Not applicable 70 hours


Bi-weekly group learning activities and support 

Not applicable 20 hours


Reflective learning through ePortfolio

20 hours


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 Learning 

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 Outcomes 

Training Outcomes

Equip the next generation of population researchers to collaborate with academic, public, private and not-for-profit sectors.

Facilitate trainees’ transition into the workforce, whether in or out of academia

Through continuous learning and improvement, produce and widely share knowledge, lessons learned and best practices on extra-curricular graduate training in population analytics.

Academic Outcomes

Build enduring linkages across disciplines, sectors, and countries that will strengthen the multidisciplinary population research community and expand our understanding of population aging and its implications across the social sciences.

Expand the capacity of population social scientists to participate fully, offer empirical insights, and communicate effectively in these important discussions and debates in both academic and public spheres.

Policy Outcomes

Contribute to advancements in the capacity of population researchers to respond in a timely manner to the policy challenges posed by aging societies.

Societal Outcomes

Strengthen the Canadian capacity to understand, discuss, and debate the changes and problems created by population aging.

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