This project will pioneer new capabilities in real-time, ultra-low power, pervasive sensing (e.g., tracking a user’s pointing gestures with cm-level accuracy), by building technologies that enable a collection of resource-constrained wearable and cheap IoT devices to collaboratively execute complex machine intelligence tasks. The research will advance Singapore’s capabilities in areas such as smart manufacturing and smart cities.
With the data market growing at an exceptional pace, more sophisticated strategies using machine learning techniques have been introduced to conduct economic forecasting. Awarded by the Monetary Authority of Singapore (MAS), under the MAS Financial Sector Development Fund, this project aims to develop a pedagogical framework for forecasting economic activities, through reviewing and identifying complementarities between the two disciplines – conventional econometric methods and machine learning techniques.
This is a continuation of the collaboration with Chuo University for their research project, which aims to clarify the diversity of legal systems in the Asia-Pacific region, with a focus on three specific areas – civil law (focused on business transaction), dispute resolution, and data privacy.
Through regression analyses of longitudinal and panel data, this project aims to have a better understanding of how the recent wave of relaxing listing requirements, especially the removal of "one share one vote" rule, affect shareholders and other stakeholders on a global scale through investigating the situation in Hong Kong and Singapore.
In recent years, increasing amount of rich and informative data have become available and these big data are helpful in establishing cause and effect relationships in empirical research. However, the use of big data is not without challenges. This project seeks to tackle these new challenges that applied economists encounter with the use of big data, through improving three widely used causal inference methods in modern economics.
The project seeks to understand the extent to which religion can enable or disenable the integration of migrant and nonmigrant communities from different religious traditions. Through such an understanding, the project hopes to identify the extent to which new religious pluralisms exist in Singapore, how they manifest across different religious groups, and the strategies deployed by different religious groups to manage them.
This research aims to determine if mediated settlements for family cases are more durable than those that were litigated or uncontested, by examining data on how frequently parties return to court to seek variation of orders or new orders. The research will also examine factors that may affect the durability of settlements, with the aim to contribute towards the shaping of effective court policy concerning mediation in family cases.
As part of an ongoing research collaboration between SMU and the Singapore Academy of Law’s Future Law Innovation Programme, this research project aims to chart the state of legal innovation in Asia-Pacific, examine where Singapore lies on the chart, and communicate Singapore’s legal innovation efforts to the world. This would benefit legal technology efforts in Singapore as well as the legal industry in general through raising the Singapore’s profile as a legal innovation hub.
This project explores dispute settlement avenues for ASEAN-related projects and transactions falling within the ambit of the Belt and Road Initiative (BRI), with the aim of providing constructive and practical suggestions potentially relating to the roles of mediation, arbitration and courts in resolving BRI disputes in ASEAN. The research is expected to include an empirical component.
Through analysing the data in the Singapore Life Panel®, this project aims to gain a better understanding on the setbacks in employment faced by older Singaporeans and how the impact of unemployment manifests across the household and the various socio-economic domains.
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