Through analysing the data in the Singapore Life Panel®, this project seeks to study Singaporeans’ preferences for hospitalisation insurance and long-term care insurance. In particular, the motivations and barriers in purchasing long-term care insurance will be investigated to identify ways to encourage Singaporeans’ participation in the new CareShield Life scheme.
SIS and NTUC Health Co-operative Limited (NHCL) are collaborating to implement and pilot a smart technology system to enhance NHCL’s operational efficiency and productivity. With improved productivity, staff can be availed to perform value-added tasks. SMU will play an active role in analysing the captured data, as well as providing actionable insights to enable NHCL to focus and improve on the delivery of care to their clients.
The Research Programme on the Governance of AI and Data Use seeks to generate deep expertise and build sustainable domestic capacity in the fields of AI and data governance. Comprising three integrated streams that will help build bridges between academy, industry and government, it also leverages on the multi-disciplinary faculty expertise across the Lee Kong Chian School of Business, School of Information Systems and School of Social Sciences.
The DHL-SMU Analytics Lab was first established in September 2016 and it has been extended for another two years with fresh investment by DHL for further collaboration. The Lab is a joint initiative by SMU and DHL, aimed at driving innovation and development of applicable advanced analytics concepts across the supply chains globally.
This project explores new approaches to investigating the fundamental research problem of learning from small (labelled) data, called one-shot learning or few-shot learning, and will develop new algorithms and techniques to devise one-shot learning machines with human-like learning capabilities.
This project tackles the problem of developing intelligent multi-agent planning and decision making algorithms, which can scale to a much larger number of agents and support significantly more complex agent behaviour, than currently possible. The proposed work will propose new models and algorithms that are applicable to a wide range of problems of practical importance, particularly in urban system optimisation.
This study seeks to provide a comprehensive quantitative assessment of the extent to which the General Agreement on Tariffs and Trade and the World Trade Organization has contributed to welfare gains and income inequality in the post-war period for the world economy.
The purpose of the research is to understand the mechanisms that enhance commercialisation of research and development from government-funded institutions through licensing by small and medium enterprises in Singapore.
The project seeks to investigate the determinants of persuasiveness in online crowdfunding, and how these vary across cultural contexts. The research aims to develop insights to assist the next generation of Singapore-based entrepreneurs in gaining access and scale across global capital and consumer markets.
This project aims to use game theoretic models to randomise patrols and visits conducted by the police, with the goal to minimise their predictability and enhance security efforts.
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