Illustrating Everyday Applications for Standardized Digital Identification and Services in the Digital Economy
Digital ID and authentication is a critical component of our hyper-connected, always-on world and digital business landscape. Unfortunately, many citizen-consumers, business leaders, and policymakers still do not understand the scope and importance of this technology. As the Digital ID and Authentication Council of Canada (DIACC) works to advance Canada’s digital identity ecosystem, use cases will be developed as a method to build awareness and enhance understanding in this crucial area of the digital economy.
Use cases underline the concrete applications and future advancements that will rely on digital identification and authentication. They will become a regular component of the DIACC’s Interoperability Program and will be published in collaboration with council members.
These scenario-driven documents connect the importance of ID security, convenience, and Privacy by Design, as well as member initiatives to the broader conversation on the digital economy. They will ground the work of the DIACC members in situations that are tangible and relatable for Canadians. Focused on both individual and organisational levels, use cases will bridge gaps in understanding by centering the role of verifiable digital Identification of people, organisations, and relationships between each in daily interactions.
Co-creation with our members, who are leading experts in the field and who approach digital ID from diverse public, private, and academic perspectives, will ensure that different industries, communities, and technological developments are captured and accurately presented.
Use cases crystallize the real-world relevance of digital ID and authentication standards and technology for citizen-consumers, media, and the broader ecosystem in Canada.
To put forward a topic or industry-focus for a use case, please email email@example.com and include:
- Use case description
- Economic impact
- Development commitment and/or data contributions