New Brunswick understands the potential for Big Data. The provincial government committed to making the province a leader in open data. Our small size is our biggest advantage: we’re nimble and digitally sophisticated. We move at the speed of industry.
Unprecedented collaboration between government, academia, and business means Fredericton is advancing by leaps and bounds in the fields of data mining, artificial intelligence, semantic web technologies, natural language processing and image and video processing.
Government and Private Sector Partnership for Open Data
NB brings together private sector tech professionals and government civil servants with the aim of using big data to create better digital products and services for New Brunswickers, increase engagement, drive innovation and ensure Government openness through transparency.
Fredericton is a Hub for Open Data Initiatives
As the capital city and the center of New Brunswick R&D, Fredericton is at the heart of New Brunswick’s Open Data initiatives. Multiple organizations are working to make a huge number of datasets publically available. Researchers and private-sector experts are developing tools to leverage data, ensure better-informed results and improve decision-making.
The New Brunswick Institute for Research, Data and Training (NB-IRDT) on the UNB Fredericton campus provides a physical space for researchers and citizens to easily access healthcare-related datasets previously housed in separate departments.
Big Data Research at UNB
Currently, UNB researchers are pursuing and developing solutions for:
- Data Management and Analytics
- Hardware Systems and Networks
- Computing Methodologies
- Security and Privacy
- Human Computer Interface.
CISCO Systems Signs On
The CISCO Systems Chair for Big Data, currently held in UNB’s Department of Geodesy and Geomatics Engineering is also a founding member of the IEEE Technical Subcommittee on Big Data (TSCBD) and leads a group of researchers in the People in Motion Lab at UNB. The group is developing new real-time mobility analytics methods and tools to discover meaningful patterns from internet-of-things (IoT) data.