Open Data Contest 2018
The second annual Nova Scotia Open Data Contest was March 3-4, 2018 in partnership with the School of Information Management and the Rowe School of Business (Faculty of Management, Dalhousie University).
The contest challenged students, entrepreneurs and citizens to use data from the Nova Scotia Open Data Portal to create one of the following:
- An application
- A predictive model
- A visualization
- A dashboard
- Any type of innovative solution
Participants could develop solutions targeted to the Nova Scotia Government’s priority areas – health care, education, helping those who need it most, and providing opportunities for youth – or any other possible theme that inspired them.
The contest began March 3rd, coinciding with International Open Data Day, and seventeen teams spent the weekend building apps, models and other innovations, and pitched them to judges on the afternoon of March 4th. Participants included students from Acadia University, Dalhousie University, Nova Scotia Community Colleges, Saint Mary’s University, and the community.
First place was awarded to Daniel Arantes, Rodolfo Garcia, Mohannad Hameed, Jennifer LaPlante, and Duane Malone for using immigration and population data to build an app helping immigrants to Nova Scotia find communities and networks based on their interests.
Cory MacRae and Priyanka Kochhar earned second place for their analysis of long-term care in Nova Scotia using census and waitlist data.
Third place went to Ryan Gorringe, Keara Leibovitz, and Yuanyuan Shi who analyzed groundwater and climate change data to predict severity of future flood seasons across Nova Scotia.
Teams voted for their favorite innovation and selected Chris Adams' app determining how road closures affect traffic patterns to receive the People's Choice Award. The app uses boundary and road network data to create an interactive, visual tool.
The team of Benjamin DeLong and Stewart Rand received honourable mention for their app created using Crown land, wildlife management and hunting license vendor data to show hunters what game can be hunted when and where.
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