Details
| Opportunity Name | Collaborative Research Teams (CRT) Program |
| Agency | Canadian Statistical Sciences Institute (CANSSI Ontario) |
| Value | Up to $210,000 |
| Indirect Costs | Ineligible |
| Duration | 3 years |
Deadlines
Letter of Intent (LOI)
| LOI due to FSc RO at sciapps@yorku.ca for full review | 04-17-2023 |
| LOI and fully signed ORS checklist due to FSc RO at sciapps@yorku.ca for mandatory review | 04-24-2023 |
| LOI and fully signed ORS checklist due at ORS for mandatory review | 04-27-2023, by 9:00AM |
| LOI due at agency | 04-30-2023 |
Full application (by invitation only)
| Application due to FSc RO at sciapps@yorku.ca for full review | 09-13-2023 |
| Application and fully signed ORS checklist due to FSc RO at sciapps@yorku.ca for mandatory review | 09-20-2023 |
| Final application and fully signed ORS checklist due at ORS for mandatory review | 09-25-2023, by 9:00AM |
| Application due at agency | 09-27-2023 |
Objective
To:
- foster research and training interactions centred in statistical sciences that span disciplines and institutions to tackle complex problems of broad importance for science, engineering, health and society; and
- emphasize the co-creation of knowledge, the leveraging of Canada’s expertise in statistical sciences and the synergy achieved by embedding partnership in the statistical sciences, and the synergy achieved by embedding partnership into projects at their inception.
Emphasis is placed on projects that:
- pursue fundamental research in the statistical sciences (actuarial science, biostatistics, inferential data science, and statistics)
- are motivated by research challenges arising in an application
- facilitate the training of highly qualified personnel in interdisciplinary environments
- foster collaboration between researchers across Canada
Note: A CRT project must have a significant component that is NSERC-fundable, in the sense of developing new fundamental statistical and inferential data science methodology and models and/or applying statistical and data science methods and models in an innovative way to a research problem in an NSERC-funded discipline. Please see the CRT program and proposal process overview for more details.
Eligibility
Collaborative Research Teams are led by faculty in the statistical sciences (actuarial science, biostatistics, inferential data science, statistics). Projects leads are responsible for scientific leadership of the project and management of the project activities. Lead investigators must secure their team, collaborators, and partner organizations. Undergraduates, graduate students, and postdoctoral fellows are eligible to participate in projects under the supervision of the lead investigators.
Restriction on applications
Researchers can be listed as a lead on only one Letter of Intent and Full Proposal. In a situation in which a researcher is listed as a lead on one proposed CRT project and as a collaborator on other CRT projects, the applications in question should explain the roles of the researcher on the various projects carefully.
How to Apply
York University researchers are reminded that all applications for external research funding, including Letters of Intent, must be reviewed and approved by the Office of Research Services before they are submitted to the granting agency. For internal approval, the application must be accompanied by a completed ORS Checklist, which requires the Dean’s signature. Please send the complete application, with the finalized budget and a completed ORS checklist to sciapps@yorku.ca, five days prior to agency deadline.
ORS is accepting electronic applications – the process is outlined here.