Research Projects led by LSGI Scholars Awarded near $12 Million Funding from RGC

Collaborative Research Fund (CRF) 2021/22

Project

Project Coordinator

Amount Awarded (HK$)

Spatiotemporal Prediction and Real-time Early Warning of COVID-19 Onset Risk

This project aims to develop the methods for predicting the onset risk of COVID-19 symptoms, like fever and cough, in space and time at a fine scale (i.e., within a city). To achieve high prediction accuracy, the methods will incorporate fine-scale transmissibility and other epidemiologic features of different SARS-CoV-2 variants, at the same time the impacts of fine-scale urban characteristics and social contacts on COVID-19 transmission. A mobile application system will be developed to deliver the risk predictions and send active real-time early warning of high-risk areas or routes to the public. The project is expected to support lower-cost and more effective long-term control of COVID-19 and potential future epidemics.

Prof. John Shi

6,964,000

Study of Carbon Sequestration in Hong Kong’s Vegetation: from Present to Future Prediction under Climate Change

Carbon stock and carbon sequestration of vegetation play a pivotal role to absorb atmospheric carbon dioxide. For a low carbon economy under the Government’s Hong Kong’s Climate Action Plan 2030+, study on carbon storage capacity of local vegetation and sequestration rates for rural and urban areas becomes crucial. The project proposes to use geospatial technologies to map and estimate the biomass and carbon sequestration of Hong Kong’s vegetation, by integrating satellite-, airborne-, and ground-based remote sensing technologies.

Prof. Charles Wong

4,949,639