Curio Talks: AI in Civic Tech, Open Data, and GovTech
AI for the Public Good: Smarter Cities Through Open Data
Toronto generates millions of data points every day: transit delays, 311 complaints, pedestrian flows, trip origins and destinations. The data exists. The question is whether anyone is actually using it to make real decisions.
This event brings together transit researchers, civic AI builders, and urban data practitioners to answer that question through four live working demos.
The central question: By knowing the types of traffic and activity across the city, can cities and residents deploy resources more efficiently?
What you'll see:
🤖 AI Deployment Strategy & Public Data — Patrick Colucci (Canada Specialist Solution Architects for AWS) on what responsible AI deployment in civic infrastructure actually looks like — and where it fails
🚇 Transit Optimization — Mehdi Nourinejad (York University, Toronto Open Data Awards winner) demos interactive OR models showing cities and commuters real trade-offs in real time
📍 311 as City Intelligence — Ahmed Nadar is a Toronto resident and the builder behind SolveTO, a civic reporting platform that gives people a faster door to the city.
🗺️ Multimodal GTA Navigation — Student team ReRoute demos unified transit, driving, and walking navigation with AI delay predictions and per-route cost breakdowns
This event is for you if you're a city planner, transit advocate, developer, data scientist, urban tech builder, student, or just someone who cares about how Toronto moves. We want city workers and developers in the same room as advocates and students — cross-sector by design.
Doors open at 5:30 PM. Talks run 6:00–8:00 PM, followed by open Q&A with all speakers on stage.
Organized by Curio Builder's Hub.