Advancing Data Science Research for Social Good

Due to rapid development of technology, such as the Internet of Things, collecting data is easier and cheaper than ever before. As a result, municipal governments and urban centres across Canada are being inundated with data—data that have potential to improve public service. Despite this, local governments do not have enough data expertise to extract insight from these overwhelming datasets, which are often unstructured and “dirty” (i.e., incomplete, inaccurate, and/or erroneous). Simultaneously, high-quality personnel (HQP) in the domains of data science and urban analytics lack opportunities to work closely with local government to address this gap. Thus, the “Data Science for Social Good” program at the University of British Columbia seeks to mentor and train HQP to solve data intensive, high-priority urban research projects identified by local government. TO BE CONT'D

Mina Park
Tony Hui
Halldor Thorhallsson
Shenyi Pan
Natasha Mattson
Saeid Allahdadian
Patrick Laflamme
Rashedul Hoque
Faculty Supervisor: 
Raymond Ng
British Columbia
Partner University: