Learning catalogue

This job aid presents a series of videos that feature Professor Larry Smith, Founder and Senior Researcher of the Problem Lab at the University of Waterloo, who explores the complexities of innovation in a public sector context, including how to navigate risk and uncertainty throughout the innovation process.

This job aid takes the form of a presentation that offers a high-level introduction to artificial intelligence (AI), including what it is, how it works, its history, ethical and policy considerations, and the present-day use of AI in the Government of Canada. (GCpedia)

This job aid takes the form of a presentation that provides a glossary of terms and concepts related to digital technology and digital government. (GCpedia)

This job aid takes the form of a presentation that outlines key trends in modern technology and explains how applications, hardware, data, services, and security work together to support and enable government operations. (GCpedia)

This job aid serves to capture personal insights about your preferred working conditions, hours of work, communication styles, professional needs and more.

This job aid presents a list of action verbs to help make your work and learning objectives as precise as possible.

This job aid is a tool for organizing qualitative research data based on common themes in order to identify patterns and uncover common trends in the data about respondents' attitudes and motivations.

This job aid serves as a checklist to help determine the "SMART-ness" of your work objectives by listing criteria to make them specific, measurable, attainable, relevant and timely.

This job aid shares best practices for responding to an armed intruder in the workplace.

This job aid lists ten ways public servants can practise and exhibit good cyber security behaviour in their organization.

This job aid outlines what you can do to be a 2SLGBTQIA+ ally, including sharing your pronouns and using gender-inclusive language.

This job aid presents step-by-step instructions on how to protect participant data collected through design research by preserving confidentiality, obtaining free and informed consent, and maintaining data security.