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RECENT NEWS
February 11th, 2010
Remsoft Tactical Planner and Collaborative Analytics technology reviewed by industry’s largest publication “The Forestry Source”
December 22nd, 2009
Remsoft teams with New Brunswick Department of Transportation to score prestigious Edelman Award nomination
December 15th, 2009
IT World Profiles Remsoft’s Collaborative Technology
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Remsoft Educational Partner
Remsoft is committed to supporting education and research initiatives that foster innovative approaches to management and planning, particularly if these initiatives lead to better methods of sustainable management.

To learn more about how these institutions are applying the Remsoft technology in their programs, please read our Annual Educational Partners Program Report 2008.


If you are interested in more information about Remsoft’s partner programs, please email partners@remsoft.com.
 


Our Educational Partners include:

Oregon State University
Oregon State University
Yale School of Forestry
Yale School of Forestry
College of the North Atlantic
College of the North Atlantic
Karadeniz Technical University
Karadeniz Technical University
Lincoln University
Lincoln University
Linkoping University
Linkoping University
Maritime College of Forest Technology
Maritime College of Forest Technology
Mississippi State University
Mississippi State University
North Carolina State University
North Carolina State University
Stephen F Austin State University
Stephen F Austin State University
Université de Moncton
Université de Moncton
Université du Québec
Université du Québec
Université Laval
Université Laval
University of Alberta
University of Alberta
University of British Columbia
University of British Columbia
University of Canterbury
University of Canterbury
University of Maine
University of Maine
University of Minnesota
University of Minnesota
University of New Brunswick (Forestry)
University of New Brunswick (Forestry)
Waiariki Institute of Technology
Waiariki Institute of Technology
Stora Enso Predicts a 2.5% Savings

Stora Enso Predicts a 2.5% Savings

“We asked, ‘If we had made the decision and optimized the problems, how much money would we have saved?’” The answer was approximately 2.5 percent.”

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