Page 281 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

2�3 Future Work

• Improved Predictive Accuracy: Continuous refinement of AI models for polar ecosystem
analysis, such as better glacier melt predictions, enhanced sea ice monitoring, and more
precise permafrost thaw simulations. Change 4.2-Climate
• Integration of Multimodal Data: Develop AI models capable of integrating a broader
range of data types, such as satellite images, drone footage, IoT sensor data, and historical
climate records, to improve the granularity and accuracy of insights.
• Real-time AI Optimization: Enhance real-time capabilities to detect subtle changes and
respond faster to critical environmental events; Development of Advanced Microalgae
Cultivation Models
• AI-Driven Optimization: Further develop AI-based cultivation systems to improve
scalability, maximize carbon absorption, and minimize resource consumption.
• Integration with Renewable Energy Systems: Implement renewable energy-powered
microalgae cultivation systems to ensure the process is sustainable and cost-effective.
• Global ESG Standards Alignment: Align the platform with globally recognized ESG
frameworks, such as the Task Force on Climate-Related Financial Disclosures (TCFD)
and ITU standards for environmental management.
• Open Data Standards: Establish standardized protocols for aggregating, processing, and
sharing data across nations and organizations to foster global collaboration.
• Open Data Standards: Launch a challenge based on the OPEA platform during the July
workshop or following events.

3 Use Case Requirements

• REQ-01: It is required to have advanced AI models for real-time polar ecosystem analysis
and predictions (glacier melt, sea ice, permafrost).
• REQ-02: It is required to have AI-optimized microalgae cultivation systems for enhanced
carbon capture (30% efficiency).
• REQ-03: It is required to have autonomous monitoring systems (drones, underwater
vehicles) resilient to polar conditions.
• REQ-04: It is required to have high-resolution remote sensing integration with AI analysis
(satellites, drones).
• REQ-05: It is required to have real-time data processing infrastructure (edge/cloud
computing).
• REQ-06: It is required to have scalable cloud storage and secure APIs for global data
sharing.
• REQ-07: It is required to have predictive early warning systems for environmental
anomalies (ice collapse, methane leaks).
• REQ-08: It is recommended to have simulation tools for climate scenarios and policy
impact assessment.
• REQ-09: It is recommended to have Open AI platform with collaborative tools (real-time
access, federated learning).
• REQ-10: It is recommended to have ESG education and policy development suite
(courses, toolkits, corporate support).
• REQ-11: It is recommended to have cross-domain application interfaces for urban
adaptation (smart water, low-carbon communities).
• REQ-12: It is recommended to have international collaboration frameworks (data sharing,
governance, standards).
• REQ-13: It is required to have deployment and maintenance protocols for polar
equipment (logistics, rugged hardware).

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