Generative AI for All and for Humanity: From Zero to Hero with Open Data, Space Computing, and Sustainable Smart Cities

Generative artificial intelligence is reshaping creativity, learning, and problem solving—a renaissance for all and for humanity. This one-hour workshop guides educators and learners "from zero to hero" by linking generative AI with open data, space computing, and sustainable smart-city applications. Participants will curate and publish 3D urban datasets with clear documentation, transform them into interactive models, and simulate energy-aware scenarios such as drone routing. The workshop emphasizes responsible data governance and ethical practice, highlighting principles that call for data to be easy to find and reuse as well as respectful of community rights and benefits. Outcomes are aligned with the United Nations Sustainable Development Goals to connect technical practice with global challenges. Participants will leave with openly licensed teaching resources, including a rubric, workflow, and project templates that integrate responsible AI into curricula and incubate capstone proposals in computer graphics and interactive technologies.

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Publication Details

Published
2025-12-08
DOI
https://doi.org/10.1145/3757372.3771874
Primary Topic
Smart Cities and Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Generative AI for All and for Humanity: From Zero to Hero with Open Data, Space Computing, and Sustainable Smart Cities

Mengqian Lu, Dongping Liu, Shiqi Wang, Xiaomeng Li et al.
Smart Cities and Technologies
article

Generative AI for All and for Humanity: From Zero to Hero with Open Data, Space Computing, and Sustainable Smart Cities

Mengqian Lu, Dongping Liu, Shiqi Wang, Xiaomeng Li, Luyao Zhang
article en

Abstract

Generative artificial intelligence is reshaping creativity, learning, and problem solving—a renaissance for all and for humanity. This one-hour workshop guides educators and learners "from zero to hero" by linking generative AI with open data, space computing, and sustainable smart-city applications. Participants will curate and publish 3D urban datasets with clear documentation, transform them into interactive models, and simulate energy-aware scenarios such as drone routing. The workshop emphasizes responsible data governance and ethical practice, highlighting principles that call for data to be easy to find and reuse as well as respectful of community rights and benefits. Outcomes are aligned with the United Nations Sustainable Development Goals to connect technical practice with global challenges. Participants will leave with openly licensed teaching resources, including a rubric, workflow, and project templates that integrate responsible AI into curricula and incubate capstone proposals in computer graphics and interactive technologies.

Amazon (United States) (US), City University of Hong Kong (HK), Hong Kong University of Science and Technology (HK), Duke Kunshan University (CN)
Openalex Percentile: Top 49%
Smart Cities and Technologies
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Generative AI for All and for Humanity: From Zero to Hero with Open Data, Space Computing, and Sustainable Smart Cities — Mengqian Lu, Dongping Liu, et al. · (2025) | TGRS Research Map | TGRS