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*This project is funded by Hong Kong Research Grants Council (RGC) under the Inter-Institutional Development Scheme (UGC/IIDS16/M01/25) and Hong Kong Metropolitan University Research Impact Fund (RIF/2024/1.1).

Artificial intelligence (AI) and big data analytics have emerged as transformative technologies in environmental management and sustainability. These technologies enable organizations to analyze consumption patterns, optimize renewable energy distribution, monitor wildlife populations, and design sustainable smart cities. In resource management, AI can identify inefficiencies while reducing waste. In energy management, AI can also optimize renewable energy systems and decrease carbon emissions. In wildlife conservation, AI can analyze data from sensors and satellite imagery to protect endangered species. In urban planning, AI can enhance smart city development by optimizing traffic flow, reducing energy consumption, and improving waste management systems. While China has made progress in applying AI and big data to environmental challenges, implementation remains in early stages with significant opportunities for advancement. With the rise of AI and big data, the environmental protection department can gather extensive data and use various indicators for better analysis and decision-making.

This seminar series provides a platform for experts, scientists, practitioners, and research students from institutions, universities, and environmental industries in China, Hong Kong, Southeast Asia, and overseas to exchange views on research, applications, and sustainable management of environmental challenges through AI and big data solutions. The symposium will gather global experts in environmental omics to share their valuable insights and experience in conducting environmental omics research in wetland science and environmental health with the scientific community in the region.

Please click here for more details on RGC.