Through transdisciplinary and translational research, we aim to address real-life grand challenge problems that call for collaborative effort from multiple disciplines.

We seek to collect data for sharing and to abstract out challenging research questions from real-life problems that can be investigated to gain a deeper understanding of data science. This allows researchers to collaborate for a larger cause, and at the same time, retain their freedom to address challenging and meaningful abstracted problems.

We envision the research activities within the Institute to not only push the boundary of current knowledge on data science through upstream research, but also lead to solutions that can be translated for uses that are impactful and of lasting value (e.g., improve productivity, promote healthy living, improve quality of life, etc).