Applied Research Centre History
Our History of Applied Research at Sault College
Sault College is proud to be the #1 College in terms of Total Ontario Innovation Trust Supported research in Ontario in the past 10 years.
During this 10 year period the College has established itself as a leading applied research institution provincially. We have undertaken several research projects in collaboration with 22 other funding partners with total project costs exceeding $4.6 million dollars.
Recently, Sault College was granted approval as the newest member of Colleges Ontario Network for Industry Innovation (CONII), an applied research and development network based at Ontario's leading postsecondary institutions and funded by the Ministry of Economic Development & Innovation (MEDI).
Some of Our Research Projects
In the past 10 years our research has focused primarily in the applied science field with projects such as:
- An Elk relocation study in which Elk we reintroduced into the Algoma district. Sault College staff and students have been tracking and recording population data since the Elk were introduced to our area several years ago.
- The College partnered with the Water and Science and Technology Directorate of Environment Canada to studying the impact of sewage treatment plant effluent on sex steroids in rainbow trout.
- Sault College and PUC Services Inc of Sault Ste. Marie set out together and developed and tested a remotely monitored and locally self-controlled water treatment system which can be useful for small communities not having the benefit of experienced water plant operators. The ultimate goal of this research was to prove that a remotely controlled system would supply safe drinking water while reducing operating costs for these small communities.
- Sault College faculty and staff are also involved in a number of other, smaller projects such as:
- Wood Turtle Endangered Species Studies,
- Cougar DNA Sampling and tracking using automated cameras,
- Manning Deer Check Stations intended for chronic wasting disease monitoring.
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