Objective of session: "Technology & Intelligence for Sustainability"
This session highlights the transformative role of Artificial Intelligence (AI), Machine Learning (ML) and advanced computing technologies in driving sustainable urban development and environmental innovation. It focuses on how intelligent systems can optimize resource use, reduce environmental impact and enable smarter, greener cities. By bridging technology with sustainability, the session positions computing as a key enabler of resilient and eco‑friendly urban ecosystems.
Explore how predictive analytics, machine learning models and intelligent algorithms can support energy efficiency, waste reduction and climate resilience.
Showcase digital platforms and computing solutions that enhance urban mobility, governance and citizen engagement while reducing carbon footprints.
Discuss innovations in renewable energy, smart grids and sustainable resource management powered by AI and computing.
Highlight the role of big data, IoT and cloud computing in shaping evidence-based policies for sustainable urban planning.
Connect computer scientists, engineers, urban planners and policymakers to co-design intelligent solutions for sustainability challenges.
Predictive models for climate risk assessment, disaster management and environmental monitoring.
AI-enabled renewable energy integration, smart grids and energy optimization.
Intelligent traffic management, green mobility solutions and autonomous systems.
ML applications for recycling, waste reduction and sustainable water usage.
Data-driven urban policies, citizen participation platforms and smart city dashboards.
Digital learning tools that promote sustainability literacy.
Practical insights into AI/ML applications for sustainable urban ecosystems.
Case studies showcasing green innovation through computing technologies.
Frameworks for data-driven governance and smart city planning.
Strengthened alignment with SDG 9 (Industry, Innovation & Infrastructure), SDG 11 (Sustainable Cities & Communities) and SDG 13 (Climate Action).
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