Presentation
Generative AI for All and for Humanity: From Zero to Hero with Open Data, Space Computing, and Sustainable Smart Cities
DescriptionGenerative AI is driving a new era of creativity and problem-solving—a renaissance for all and for humanity. This one-hour, hands-on workshop takes participants “from zero to hero” by guiding them through three interconnected themes: open data, space computing, and sustainable smart cities.
The session begins with open data, where participants curate and publish datasets from 3D urban scans. They will learn how to apply responsible data governance practices that make data easier to find, reuse, and share while ensuring broad societal benefit.
Building on this foundation, the workshop advances to space computing, where participants transform curated datasets into 3D models and interactive simulations. Through web-based visualizations, they explore how data-driven modeling can support applications in digital infrastructure and scientific exploration.
Finally, the workshop links these practices to sustainable smart cities. Participants will prototype simulations such as energy-aware drone routing for low-altitude logistics, connecting technical work to climate action and the United Nations Sustainable Development Goals (SDGs).
The session combines short lectures, guided exercises, and collaborative reflection, and it concludes by incubating capstone project proposals. These proposals extend workshop outputs into course- or program-level initiatives, enabling participants to integrate generative AI, open data, and interactive simulation into their own teaching and research contexts.
Attendees will leave with a collection of openly licensed teaching resources—including slides, activity guides, metadata templates, and Jupyter notebooks—along with practical strategies to embed responsible, human-centered innovation into curricula.
The session begins with open data, where participants curate and publish datasets from 3D urban scans. They will learn how to apply responsible data governance practices that make data easier to find, reuse, and share while ensuring broad societal benefit.
Building on this foundation, the workshop advances to space computing, where participants transform curated datasets into 3D models and interactive simulations. Through web-based visualizations, they explore how data-driven modeling can support applications in digital infrastructure and scientific exploration.
Finally, the workshop links these practices to sustainable smart cities. Participants will prototype simulations such as energy-aware drone routing for low-altitude logistics, connecting technical work to climate action and the United Nations Sustainable Development Goals (SDGs).
The session combines short lectures, guided exercises, and collaborative reflection, and it concludes by incubating capstone project proposals. These proposals extend workshop outputs into course- or program-level initiatives, enabling participants to integrate generative AI, open data, and interactive simulation into their own teaching and research contexts.
Attendees will leave with a collection of openly licensed teaching resources—including slides, activity guides, metadata templates, and Jupyter notebooks—along with practical strategies to embed responsible, human-centered innovation into curricula.
Event Type
Educator's Forum
TimeThursday, 18 December 202511:00am - 12:00pm HKT
LocationMeeting Room S228, Level 2
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