Water Innovation Program by the numbers 2023
March 21, 2023
Investments through the Water Innovation Program have created a tightly knit and influential water innovation ecosystem in Alberta.
March 21, 2023
Investments through the Water Innovation Program have created a tightly knit and influential water innovation ecosystem in Alberta.
From June 2015 to March 2022, the Water Innovation Program has invested $31,961,494 and created a total project value of $114,050,122 in 83 projects. That’s almost $3 of value for every dollar invested.
The value of these investments goes beyond dollars and cents; they have created a tightly knit and influential water innovation ecosystem in Alberta that has:
Learn more about the opportunities available through our Water Innovation Program.
This article is part of Making Waves, an annual Alberta Innovates publication highlighting water solutions we support. You can read more stories from this issue below.
March 21, 2023
Making Waves is an annual publication highlighting the projects the Water Innovation Program funds and supports to help Alberta plan for and respond to water issues.
March 21, 2023
Project supported through Water Innovation Program filters wastewater to produce cleaner water using less energy.
March 21, 2023
Roshan Water Solutions’ VeloCensTM technology reduces test turnaround time to support real-time decision-making about water supply safety.
March 21, 2023
Cutting-edge sampling takes water monitoring to the next level and puts it in the hands of everyday Albertans.
March 21, 2023
Mesocosms allow researchers to conduct controlled experiments within a simplified model of an ecosystem, replicating real-world conditions.
March 21, 2023
Recent work is helping assess and reduce the risks associated with reusing stormwater and rainwater, informing guidelines in development.
March 21, 2023
University of Lethbridge professor Chris Hopkinson and partners are studying how the interaction of vegetation with snowpacks will impact Alberta’s water supply
March 21, 2023
Synauta's machine learning algorithm could save more than 12 million tonnes in carbon dioxide emissions every year.