Regulatory Experimentation Expense Fund

Centre for Regulatory Innovation: Regulatory Experimentation Expense Fund

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Project Eligibility

The REEF is a fund to help regulators innovate or support innovation in the marketplace by experimenting with:

• Innovative approaches to any stage(s) of the regulatory lifecycle (issue definition and instrument choice, regulatory development, administration, compliance/enforcement, and review/evaluation)
• Market innovations (e.g., products, business models, services.)

All stages of regulatory experimentation are supported, including:

• determining whether an experiment would be the right approach (NEW)
• developing a regulatory experiment (e.g., scope, evidence needs, experimental process, data collection methods) (NEW)
• conducting a regulatory experiment

What can the REEF offer?

Regulators can receive:

• financial support to offset expenses associated with experimenting. Up to $1,400,000 per fiscal year with multi-year funding is available.
• technical advice and guidance to help you navigate your specific situation.

Interested in applying? Want to learn more?

The first step is to contact the Centre for Regulatory Innovation to request an informal consultation to determine whether and how the REEF can best support your goals.

Several different types of projects have been eligible for the REEF – read more here.

The REEF Process

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Contact us
For additional information about this funding opportunity, including any assistance required to complete the application process, please contact the Centre for Regulatory Innovation.

REEF Ongoing Projects
Click here to see a list of the CRI’s completed projects and experimentation reports
Department/ Agency	Project Title	Project Description
Transport Canada (TC)	Light Sport Aircraft	This experiment as proposed by TC involves setting up a sandbox to determine if Light Sport Aircraft, with appropriate conditions, are as reliable as other aircraft currently being used for the purpose of flight training and if the quality of training is as good, or better, than other aircraft currently used for pilot training. The experiment will also inform Transport Canada on potential additional conditions/measures that should be included in future exemptions or regulatory amendments.
Innovation Science and Economic Development (ISED) – Standards Council of Canada (SCC)	Piloting an Accreditation Program for the Assessment of Artificial Intelligence Management Systems (AIMS)	The purpose of this experiment is to pilot a prototype accreditation program to understand whether the main SCC Requirements and Guidance document that works in conjunction with ISO/IEC 17021-1:2015 Conformity assessment is clear and appropriate and obtain feedback from the certification bodies and Artificial Intelligence (AI) companies about the program. This information is necessary to improve and refine the prototype. The SCC is also looking to gather information on whether the AIMS could have an impact on the level of risk of AI products to inform potential use of AIMS for regulators.
Transport Canada (TC)	Aviation E-Licensing Pilot	This is a follow up to previous experiment to test a new QR code prototype with pilots of an air operator within Canada for effectiveness. The sandbox experiment will test if the digital solution lowers the cost of compliance and improve compliance with respect to air operators’ obligation to track employee compliance with licensing requirements.
Health Canada (HC)	Machine Learning Enabled Medical Device (MLMD) Sandbox Development	Health Canada is developing a sandbox to test new regulatory approach for MLMDs. Currently, MLMD can be marketed in Canada if the device algorithm behaviour is locked to remain the same overtime as what was presented in the product’s market authorization application. Any change to the algorithm behaviour requires the submission of an amendment to the licence. Health Canada wants to test a new regulatory approach that would use a different method of risk management than requiring a licence amendment so that the device can change its behaviour over time as it learns from new data it acquires over time. The current project scope is limited to accessing the legislative authorities to establish the sandbox and developing the sandbox application scheme.