The Evidence Network Inc. at the 2017 RE$EARCH MONEY Conference – An Opportunity to Excel: Advancing Canada’s New Innovation Agenda

March 27, 2017.
Cameron Miller, Director of Client Services, and Conor Meade, Director of Policy and Innovation will be representing The Evidence Network Inc. at the conference, and eager to discuss innovation program measurement and evaluation. If you’re planning to attend, we invite you to visit us at our booth to learn more about our impact assessments, and why the evidence of impact is a key component to the success of Canada's innovation ecosystem.

The Evidence Network Inc. is a proud exhibitor at the 2017 Research Money Conference on April 4-5, 2017

Cameron Miller, Director of Client Services, and Conor Meade, Director of Policy and Innovation will be representing The Evidence Network Inc. at the conference, and eager to discuss innovation program measurement and evaluation. If you’re planning to attend, we invite you to visit us at our booth to learn more about our impact assessments, and why the evidence of impact is a key component to the success of Canada’s innovation ecosystem.

We look forward to seeing you there!

About Research Money

R$ logo

RE$EARCH MONEY is the go-to source for the news and insight on Canadian science, technology and innovation (STI). RE$EARCH MONEY has provided original and timely analysis of the policies, programs and collaborations designed to transform Canada into a leading player in the knowledge-based global economy for over 30 years.

About TEN

TEN evaluates, explains, communicates, and benchmarks the impact of organizations that support business, research, innovation, and entrepreneurship. We are recognized for our ability to identify the knowledge-based and economic impacts that are attributable to innovation enabling organizations by their clients. Serving customers globally, our assessments help innovation enablers to support requests for funding, to communicate accomplishments to stakeholders, and to inform strategy and operations with evidence-based decision making.