Page 275 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

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Item Details
Key Aspects of Solu- 1. Real-Time Polar Ecosystem Monitoring
tion AI-driven models provide precise insights into glacier melt, sea ice Change 4.2-Climate
dynamics, permafrost thaw, and marine ecosystems. These tools
enhance early warnings, enabling policymakers to respond to rapid
polar changes and mitigate global impacts.
2. AI-Enhanced Microalgae Cultivation
AI boosts carbon sequestration efficiency by 30%, making microal-
gae cultivation a scalable and cost-effective solution. This innovation
reduces emissions, generates renewable energy, and supports sustain-
able bioproducts.
3. Open AI Platform for Collaboration
An open AI platform democratizes data access, fosters interdisciplinary
research, and accelerates global climate action. By enabling real-time
collaboration, this platform empowers decision-makers with action-
able insights.
4. ESG and Education
In partnership with The Education University of Hong Kong, PECIP
develops “AI+ESG” courses and policy toolkits, driving corporate
green transformation.
5. Cross-Domain Expansion
Polar technologies are applied to urban clusters in the Guang-
dong-Hong Kong-Macau Greater Bay Area, supporting smart water
management and low-carbon development.

Technology Large Language Model, Retrieval-augmented Generation, Deep Neural
Keywords Networks

Data Availability Public : Polar satellite remote sensing data, partially open. E.g. NASA
Earthdata, European Space Agency (ESA) Copernicus Open Access Hub,
NOAA CLASS (Comprehensive Large Array-Data Stewardship System).
[6] [7] [8]
Private: Arctic "Purple Jade Station", pole station of PRIHK, expedition
data.

Metadata (Type of Text and visual
Data)

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