Elon University
The prediction, in brief:

Online systems can … enable continuing contractual relationships between publishers and end-users. Contracts can supplement copyright protection and are especially important for databases of factual material, where copyright protection may not be available for individual records.

Predictor: Kahin, Brian

Prediction, in context:

In a 1992 report for the Coalition for Networked Information titled “The Strategic Environment for Protecting Multimedia,” Brian Kahin of Harvard’s Kennedy School of Government, writes: ”Online systems can … enable continuing contractual relationships between publishers and end-users. Contracts can supplement copyright protection and are especially important for databases of factual material, where copyright protection may not be available for individual records. By contrast, contracts are very difficult to establish in a retail sales environment, notwithstanding the ambitious claims in shrink-wrap licenses.”

Biography:

Brian Kahin was a coauthor of “Public Access to the Internet,” a 1995 collection of papers on Internet-access issues produced by the Harvard Information Infrastructure Project, for which he was founding director. He had helped found the Interactive Multimedia Association in 1988. In the early 1990s, he also was the author or editor of “Building Information Infrastructure (McGraw-Hill, 1992), “The Information Infrastructure Sourcebook” (published by the Harvard Information Infrastructure Project 1993-1995) and “Standards Policy for Information Infrastructure” (with Janet Abbate; MIT Press, 1995). (Research Scientist/Illuminator.)

Date of prediction: January 1, 1992

Topic of prediction: Controversial Issues

Subtopic: Copyright/Intellectual Property/Plagiarism

Name of publication: Coalition for Networked Information

Title, headline, chapter name: The Strategic Environment for Protecting Multimedia

Quote Type: Paraphrase

Page number or URL of document at time of study:
http://www.cni.org/docs/ima.ip-workshop/Kahin.html

This data was logged into the Elon/Pew Predictions Database by: Meyer, Jennifer Marie