An interview with Michael Geist: copyright reform in Canada and beyond
Dr. Michael Geist is a law professor at the University of Ottawa where he holds the Canada Research Chair in Internet and E-commerce Law.
Tag: limitations and exceptions
Creative Commons at WIPO: Supporting a more fair copyright for teaching and learning
Last week in Geneva, Creative Commons participated in the World Intellectual Property Organization’s (WIPO) bi-annual meeting of its committee on copyright and related rights. CC has had “observer status” at WIPO since 2011, which means that it can attend the proceedings and at times offer written or oral feedback on activities of the committees. WIPO’s … Read More “Creative Commons at WIPO: Supporting a more fair copyright for teaching and learning”
The flip side of copyright
Fair Use Week 2016 is here, and we’re happy to celebrate it alongside many other organizations and individuals who believe in the importance of flexible exceptions to copyright law. There are now over 1 billion CC-licensed works available, and these will always be free for anyone to use and share. CC licenses work because of … Read More “The flip side of copyright”
Creative Commons celebrates Fair Use Week
Today we commemorate Fair Use Week, a week-long celebration of the doctrines of fair use and fair dealing. Creative Commons is proud of how its licenses respect fair use and other exceptions and limitations to copyright. CC licenses end where copyright ends, which means you don’t need to comply with a CC license if you … Read More “Creative Commons celebrates Fair Use Week”
The Limits of Copyright: Text and Data Mining
We’re taking part in Copyright Week, a series of actions and discussions supporting key principles that should guide copyright policy. Every day this week, various groups are taking on different elements of the law, and addressing what’s at stake, and what we need to do to make sure that copyright promotes creativity and innovation. Today’s topic is about supporting fair … Read More “The Limits of Copyright: Text and Data Mining”