Research Projects

We seek to change the traditional mindset of researchers – to collaborate across disciplines for impactful research rather than working in silos on “small” problems, and to work with industries and public agencies on challenging rea-life problems rather than problems that are only of academic interests.

The Institute facilitates joint collaborations across the departments, and provides a single focal point for industries and public agencies to tap into the broad spectrum of scientific and technological expertise in the University. We focus on solving real-life data science problems that meet the needs of various sectors, and leads to the potential for technology transfer and translation of research outputs for real world deployments.

The Institute collaborates with external industry to tackle real world data science problems and provides solutions.


Natural language processing for Q&A in indigenous/vernacular languages

The project is a newly-funded international collaboration between Singapore and New Zealand on data science, focusing on multi-lingual Q&A for revitalising and facilitatng indigenous/vernacular languages in Southeast Asia and New Zealand through AI and data science.

AI in Health Grand Challenge

Transforming Chronic Care for Diabetes, Hypertension and Hyperlipidaemia with AI (by NUS Institute of Data Science, NUS School of Computing, SingHealth and its polyclinic network, HSRC, SNEC, NHCS, Duke-NUS)

Toward Trustable Model-centric Sharing for Collaborative Machine Learning

Collaborative machine learning is an appealing paradigm to build high-quality machine learning (ML) models by training on the data from many parties. However, concerns over trust and security have hindered the sharing of data between organizations. Much efforts have been focused on breaking the “data silos”, but the silos are inherently difficult to break at the data level, as personal or proprietary data are often involved.

Joint-Labs with Industry

Joint labs are long-term multi-project academic-industry research collaborations between the Institute and an industry or public agency partner. The long-term relationship will enable the joint development of deep capabilities and talents in data science and AI, nurture local talents that the industries and public agencies can harness in future, and fully leverage the latest R&D advancements in the academia to co-develop solutions for real-world problems relevant to the joint-lab partners.

Current IDS joint-labs with industry and public agencies:

Special Interest Groups (SIG)


Past Projects

Click here to view past projects