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Canadian Statistical Sciences Institute

Discovery Through Collaboration

We empower researchers to pursue the collaborative development of statistical methodologies and models that enable data-informed decisions.
Canadian Statistical Sciences Institute Discovery Through Collaboration
We empower researchers to pursue the collaborative development of statistical methodologies and models that enable data-informed decisions.

Who We Are

CANSSI is Canada’s catalyst for discovery and innovation in statistical sciences and for advances in collaborative research and training.

CANSSI programs support the pursuit of cutting-edge collaborative research involving statistical sciences, along with the communication and application of the results to science, engineering, and society.

CANSSI’s national office is hosted at Simon Fraser University in Burnaby, British Columbia.

CANSSI researchers.

Collaborative Research Teams

Tackling complex problems through a team-based three-year research and training agenda.

A CRT project spans disciplines and institutions to emphasize the co-creation of knowledge. CANSSI provides up to $210,000 to support projects that require a team of faculty, postdocs, and students.

CANSSI Distinguished Postdoctoral Fellowships

Providing experience through a comprehensive, two-year training program.

This program provides a postdoctoral fellowship that integrates a research project, applied interdisciplinary experience and teaching experience. The program selection uses an innovative two-phase process designed to minimize implicit bias.

Current Funding Opportunities

CANSSI develops and operates programs that support new and
cutting-edge research and collaboration.

Browse our programs.

Graduate Student Enrichment Scholarship

Promoting broader student experiences and development of new collaborations.

Goals of this program include providing students with the opportunity to learn new skill sets and gain exposure to new areas of research and application. It also aims to provide new faculty with opportunities for developing mentoring skills. There are three variations of the program: Visiting Scholarships, Applied Immersion Scholarships, and New Researcher Scholarships. Proposals are due one month before the start date.

Research for Social Good

Supporting statistical scientists having an immediate impact on problems important to society.

This program focuses on applied research that has a strong potential to have an immediate impact in an application that impacts Canadian society. Potential applicants are encouraged to contact the Director or Deputy Director to discuss ideas.

Equity, Diversity, and Inclusion Program

Supporting the foundation for success in all scientific programs.

CANSSI EDI is a comprehensive suite of policies, programs, and training courses designed to increase diversity, inclusivity, and equity in the Canadian statistical sciences community.

Distinguished Visitor Program

Supporting interactions between the international research community and Canadian universities.

This program supports visits from leading statistical scientists to Canadian universities. During their visit, scientists meet with researchers and graduate students and give one or more lectures.

Support for Conferences & Workshops

Providing partial funding for regional, national, and international events.

This program helps to support events that have the potential to catalyze research in the statistical sciences by providing seed funding. Proposals requesting support can be submitted at any time but early submission is encouraged.

Support for Student-Focused Events

Supporting events that focus on training students.

This program helps to support competitions and events targeted at students in statistical sciences. Proposals requesting support can be submitted at any time.

Stories in Science

Explore our current projects and hear from researchers, students, and postdoctoral fellows about their CANSSI experience.

Latest News

IASE 2023 proposals on “Fostering Learning of Statistics and Data Science” due January 30​! To learn more, please visit the conference website:

@MacDATAInst @uOttawaRMS @LaurierMath @QUartsci @UofT_dlsph @BrockUMSC @UTM_MCS @SchulichMedDent @CANSSIINCASS

How can we handle demographic data ethically? Get actionable advice at the @CRM_Montreal StatLab virtual workshop on Best Practice in Ethical Data Analysis on Fri Feb 17. See the list of speakers and register here:

Comment traiter les données démographiques de manière éthique ? Obtenez des conseils immédiatement exploitables lors de l'atelier virtuel @CRM_Montreal StatLab sur Les meilleures pratiques en analyses éthiques de données le 17 février. Inscrivez-vous ici :

Regional Centres

Research Areas

CANSSI’s projects are extremely successful, with a wide reach through many facets of industry, government, and society. Application areas involved with CANSSI-supported projects include:

Data Privacy
Risk management
Sports analytics
Human health
Climate change
Financial markets
Infectious disease
Public health
Wildfire management
Earth sciences
Waterway engineering