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.
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.
