External Research Grants

This project investigates how conflict between work and family affects Singapore’s skilled employees who come from families of lower socioeconomic status.

This multi-disciplinary project brings together the expertise of the School of Social Sciences, School of Information Systems and Lunch Actually (a dating and relationship advice provider), to develop the first holistic AI mobile platform that provides dating and relationship solutions and advice based on comprehensive personality-match models.

The project is a collaboration between the School of Information Systems and Ospicon Systems, a pioneer of the world’s first patented optical fiber based breath-sensing technology for infants and the elderly. By leveraging on the School's and Ospicon Systems’ respective strengths in the areas of IoT data analytics and fiber-optic sensing, the project team seeks to further enhance the performance of Ospicon’s product offerings.

The project seeks to identify misinformation on the web by studying the content and propagation patterns of known cases of misinformation. Through the analysis of these misinformation, the research team seeks to propose methods that will allow for automatic flagging of suspicious pieces of information circulating on the web which can be sent to experts for verification.

The project seeks to address the challenges faced by local start-ups and provide insights on the behavioural changes and strategic initiatives that local entrepreneurs can introduce in their business model to increase their success rate. A customized training and support programme will be developed to support the entrepreneurs and their start-ups.

The project seeks to understand women’s under-representation and performance issues by focusing on the intra- and inter-personal behaviours and dynamics of women innovators and entrepreneurs in Singapore and develop interventions to resolve the barriers. While there are existing efforts made to increase women’s involvement and achievement in innovation and entrepreneurship, the insights from this project will help inform such current efforts and achieve greater gender equality in Singapore’s innovative and entrepreneurial landscape.

The project is a joint collaboration with Acronis Asia Research and Development Pte Ltd, and it aims to develop a non-intrusive monitor that leverages artificial intelligence to achieve protection against data-infringing malware on Android devices. A dynamic analysis framework would be built to perform dynamic analysis of Android apps on un-rooted Android phones to achieve the feature of non-intrusiveness, while a deep learning solution would be developed to identify the specific Android app responsible for performing sensitive operations.

Awarded with a second year funding, the project looks into building fundamental data fusion techniques to combine data from both physical urban sensors and social media sensing to generate improved insights into the evolution of urban events, and a software library of tools that extract and combine analysis techniques across multiple socio-physical sensing channels.

Awarded with additional funding from the Singapore Economic Development Board, the Centre aims to empower and enable brick-and-mortar and online retailers to tackle key retail industry challenges for their businesses. To achieve this aim, the Centre seeks to:

• Establish an ecosystem of retailers, retail experts, knowledge partners, talent and students, with the support of the government and academia
• Enhance retail know how through research by SMU faculty experts for traditional and non-traditional retailers to grow their retail businesses in Singapore and beyond
• Explore and resolve talent and manpower gaps in the retail industry through the development of academic curriculum, leadership training and internships for SMU undergraduate and postgraduate students, coupled with masterclasses for industry stakeholders, managers and C-Suite executives.

The research will help understand how the learning of new work skills can be promoted among lower-income workers. It will test novel, cost-effective, and scalable psychological interventions that can help lower-income workers learn new work skills. The designed interventions will be implemented in Singaporean organisations through a randomized controlled trial to reveal which approaches produce the most benefit for low-income workers and their organizations.