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Events

Participate in upcoming webcasts, virtual conferences, forums, special events and more. To inquire about School events, connect with us by email at events-evenements@csps-efpc.gc.ca.

Upcoming events

Date Title Location Description
September 8, 2026

Data Rules and Tools Series: Delivering Measurable Value with Data and AI (DDN3-E66)

VirtualParticipants will gain knowledge of how data rules and tools enhance the responsible use of AI to improve services, decision-making, interoperability, and productivity.
August 20, 2026

Large Language Models Explained (Rebroadcast) (DDN1-E31)

VirtualParticipants will deepen their understanding of LLM fundamentals, including their inherent limitations, biases, and risks, what safe and responsible use of LLM-powered tools looks like, key use cases, and how AI agents leverage LLMs to perform tasks.
August 18, 2026

Reboot: AI and the Race to Save Democracy, with Beth Noveck (DDN2-E43)

VirtualParticipants will gain insight into treating democratic renewal as a concrete design and as a governance challenge in the AI era, and leave with a clearer understanding of actionable approaches for leveraging AI to make democratic systems more responsive, effective, and inclusive.
August 12, 2026

Turning Public Research into Public Value (TRN4-E63)

VirtualParticipants will gain practical insights into how governments can foster effective knowledge transfer, support regional innovation ecosystems, and balance innovation incentives with broader public-interest objectives.
August 10, 2026

The Outrage Cure: Public Service in an Era of Low Trust and Rapid Change (Rebroadcast) (TRN4-E64)

VirtualParticipants will gain a shared vocabulary to better understand outrage in their work, clearer insight into when to listen, when to act, and when to rebuild, and renewed confidence in their role as agents of trust and reform.
July 20, 2026

Ian D. Shugart Visiting Scholar Lecture – AI and the Public Service: Moving at the Speed of Responsibility (TRN5-E74)

VirtualParticipants will be invited to challenge prevailing orthodoxies, think critically about the future, and explore how public sector leadership and institutional capacity must evolve to meet the demands of an era increasingly shaped by AI.

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