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.
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.
Want to see more of SMU Research?
Sign up for Research@SMU e-newslettter to know more about our research and research-related events!
If you would like to remove yourself from all our mailing list, please visit https://eservices.smu.edu.sg/internet/DNC/Default.aspx
