Building transparent, efficient, and citizen-driven governance models through data-driven intelligence.

Indicative Themes:

• Algorithmic frameworks for evidence-based policymaking

• Predictive analytics for public service efficiency and transparency

• AI for civic infrastructure management and emergency preparedness

• Ethical, explainable, and inclusive governance technologies

 

Grand Challenges:

• Inclusive digital governance for developing economies

• Blockchain-AI synergy for secure administrative systems

• Urban safety prediction and crisis response systems

• Algorithmic fairness and trust in public decision-making

Integrating AI to ensure sustainable agriculture, healthy livestock, and resilient forest ecosystems.
 

Indicative Themes:

• Precision farming, soil health analytics, and adaptive irrigation systems

• Smart livestock monitoring and disease forecasting

• Forest fire prevention, biodiversity tracking, and ecosystem modeling

• Data-driven agroforestry and resource management under climate variability
   

Grand Challenges:

• Affordable AI tools for smallholder and marginal farmers

• AI-based biodiversity conservation and deforestation prevention

• Supply chain optimization for reducing agri-waste

• Climate-adaptive resource allocation for water and soil sustainability

Advancing equitable access, inclusion, and welfare through human-centered AI innovation.
 

Indicative Themes:

• AI in healthcare diagnostics, telemedicine, and epidemic prediction

• Personalized and adaptive learning systems for diverse populations

• Assistive technologies for elderly and differently-abled communities

• AI for social equity, gender analytics, and digital inclusion

 

Grand Challenges:

• AI for low-cost healthcare and remote service delivery

• Bias detection and fairness in social applications

• Workforce reskilling and AI for sustainable employment

• Smart education tools for rural and underrepresented learners

Redefining the future of sustainable mobility through intelligent and connected systems.
 

Indicative Themes:

• Predictive models for real-time traffic control and route optimization

• Smart logistics and freight management for emission reduction

• AI for electric vehicle (EV) infrastructure and energy grid balance

• Autonomous mobility and cooperative driving intelligence
   

Grand Challenges:

• Adaptive transport networks for smart cities

• Vision-based traffic safety and collision prevention

• Greener supply chains through AI-optimized logistics

• Affordable public transport solutions for developing nations

Fostering collaboration, creativity, and cognition at the intersection of humans and intelligent machines.
 

Indicative Themes:

• Human-in-the-loop and explainable AI systems for adaptive intelligence

• Cognitive computing for emotion recognition and neuroinformatics

• Reinforcement learning with human feedback for personalized decision-making

• AI for creativity, design assistance, and human-machine co-creation
   

Grand Challenges:

• Human-centric AI for trust, interpretability, and collaboration

• Brain-inspired neural architectures for advanced cognition

• Safe semi-autonomous systems with continuous human oversight

• Creativity augmentation and lifelong learning with AI

Empowering a carbon-neutral and energy-secure world through AI-driven innovation.
 

Indicative Themes:

• Renewable energy forecasting, smart grid management, and demand optimization

• AI for energy-efficient building design and operation

• Predictive modeling for industrial decarbonization and carbon tracking

• AI for climate adaptation, disaster risk reduction, and environmental forecasting
   

Grand Challenges:

• AI-based microgrids for remote and off-grid communities

• Energy optimization in heavy industry and manufacturing

• Climate resilience modeling for extreme events

• Integration of renewable energy sources through adaptive AI systems