Kristofer Erickson appointed Associate Professor of Media and Communication at the University of Leeds
October 5th, 2017
Kristofer Erickson will join the School of Media and Communication as Associate Professor of Media and Communication in November 2017. He holds a PhD from the University of Washington and was previously appointed Lord Kelvin / Adam Smith Research Fellow at the University of Glasgow, where he studied the effects of copyright on innovation and creative industries.
Erickson’s research has influenced copyright policy in the UK and Europe. A study on the economic effects of parody was used to inform a new statutory exception to copyright introduced in 2014. Follow-up research on the value of the public domain was used by MEP Julia Reda in arguing for safeguards to the cultural public domain in Europe. Results of the research, analysing the economic value of public domain imagery on Wikipedia, were published in the Harvard Journal of Law and Technology.
Erickson is one of the principal investigators on EnDOW, a multi-country, three-year project to design a crowdsourcing platform to assist cultural institutions with clearing copyright materials in their collections. Erickson is one of the co-founders of Copyrightuser.org, an educational resource about copyright for creators, and the Copyright Evidence Wiki, a data-minable repository of research on intellectual property. Since 2015 he has been academic editor with Internet Policy Review, the open journal on digital governance in Europe.
His current project with the Electronic Frontier Foundation is building a unique dataset of price information about products where Digital Rights Management (DRM) systems are applied by manufacturers. By comparing consumer willingness to pay for devices where interoperable and restricted versions exist side-by side, this research will provide fuller empirical understanding of the economic effects of DRM. Another new project examines how publics, hackers, and software developers can work together to reverse engineer and reveal the ways that algorithmic governance operates in ‘black box’ systems.