Risk Management, Control & Surveillance

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Risk Management, Control and Surveillance thrust addresses evidence-based interpretation of outputs for consistent risk assessment, risk management and communications of health, environment and climate issues. It looks into the design and implementation of surveillance of projects to ensure cost-beneficial, effective and fit-for-purpose evidence for policy-making and education. Several research projects will be integrated with modeling and simulation studies.
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Traditional metrics for scholarly and scientific publishing such as citation counts and impact factors have been criticized for being too shallow and too narrow. This project aims to investigate new approaches offered by Interactive Digital Technology and Social Media to rethink and explore ways to measure research outputs by comparing traditional metrics and new metrics (altmetrics) to measure research outputs by developing a framework and prototype for cross-metric validation of different disciplines including hard sciences research and non-hard sciences research, research innovation and commercialization

Agent-Based Modeling and Simulation (ABMS)
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Tuberculosis (TB) is an airborne contagious disease caused by Mycobacterium. According to WHO report, TB is a serious disease that makes people around the world died over a million each year. In Singapore, there are many migrant workers come from several countries - some of them come from high TB incidence countries. Thus, this project aim for using agent-based simulation (ABS) and transmission network approach, with consideration of social affinity and culture distance, to simulate the TB outbreak in Singapore. Unique from other simulations, this project use non-uniform mixing and dynamic changing of population caused by 7 groups of migrant workers. Further, we also aim to apply the existing model to Thailand, where is one of TB high burden countries, by consideration in tourist instead of migrant workers. Finally the validation is done by comparing the simulation-generated data and real data.Nevertheless, the simulation can be used by policy maker to see the trend of TB outbreak.
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