At the Nature AI Lab, we combine Cutting-edge Artificial Intelligence with Environmental Research to address the pressing challenges of our urban and natural landscapes. Our interdisciplinary team focuses on four key research themes: Human-nature Interaction and Wellbeing, Green Economy and Equity, Ecological Infrastructure and Environment Monitoring, and Landscape Design, Planning, and Management. Through innovative projects and collaborations, we aim to create sustainable, equitable, and thriving communities. Join us as we pioneer new solutions for a better future.

Research Themes

1. Human-nature Interaction and Wellbeing: Exploring the dynamic relationships between humans and natural environments to enhance mental and physical health through data-driven insights and innovative design strategies.
2. Green Economy and Equity: Addressing economic disparities and promoting social equity in urban greenery by leveraging AI and data analytics to inform policy-making and urban planning.
3. Ecological Infrastructure and Environment Monitoring: Developing smart ecological infrastructure and advanced monitoring systems to ensure the sustainability and resilience of urban and natural ecosystems.
4. Nature-based Education, Planning, and Management: Leveraging AI to enhance nature-based education, optimize planning, and ensure sustainable management of natural environments.

Publications and Projects

Our lab is committed to producing high-impact research and transformative projects that address pressing environmental and social issues. We actively collaborate with academic institutions, industry partners, and community organizations to drive meaningful change and disseminate our findings to a broader audience.

Service

1. Social-economic Data Scraping and Mapping: Collecting and analyzing socio-economic data to create comprehensive maps that inform urban planning and policy decisions.
2. Multimodal Data (Text, Audio, Image, Video) and Deep Learning: Utilizing advanced deep learning techniques to analyze diverse data sources, including street view imagery, Flickr, and Google Reviews, to gain nuanced insights into urban environments.
3. Remote Sensing and GIS: Employing remote sensing technologies and geographic information systems to monitor and analyze environmental changes and urban dynamics.
4. Smart Sensor Deployment and Visualization: Implementing and visualizing data from smart sensors to monitor environmental conditions and human activities in real time.
5. Transportation and Mobility: Analyzing transportation patterns and developing innovative solutions to improve urban mobility and reduce congestion.
6. Spatial Data Visualization and Statistics: Creating compelling visualizations and performing statistical analyses to communicate complex spatial data effectively and support decision-making processes.

At the Nature AI Lab, we believe that the fusion of AI and environmental research holds the key to solving some of the most critical challenges of our time. Join us in our journey to create a sustainable, equitable, and thriving world.