Data science is defined as the science of collecting, manipulating, storing, visualizing, learning from, and extracting useful information from data in a reproducible, fair and ethical way. Data science is inherently interdisciplinary and building capacity in data science has the potential to advance research frontiers across a broad spectrum of fields. Entirely new fields of data science are forming at the intersections of traditional disciplines and foundational fields. The model of the University of Toronto Data Sciences Institute (DSI) makes it easy for researchers to find each other, fosters research connections through the research support it provides for Collaborative Research Teams (CRTs) in emerging fields and encourages work in the foundations of data sciences themselves.
To be eligible to apply for DSI funding and support, scholars must assemble a CRT. CRTs bring together expertise from across disciplines to form multidisciplinary teams that are focused on the development of new data science methodology or the use of existing methodology in innovative ways previously not considered, or not possible, to address questions of societal importance.