Elon University
The prediction, in brief:

A universal-service policy … could encourage a leveling effect between information haves and have-nots. Such a policy would flow from a federal framework or set of guidelines, and would provides states considerable flexibility, allowing decisions to be made at the local level. Such a policy would combine market incentives and individual tax credits to increase computer ownership among low-income households, provide electronic mail services for children and job-seekers, promote development of public access network services, and fund network literacy programs through adult education programs, public libraries, and schools.

Predictor: Civille, Richard

Prediction, in context:

The 1995 book “Public Access to the Internet,” edited by Brian Kahin and James Keller carries the chapter, “The Internet and the Poor” by Richard Civille, executive director of the Center for Civic Networking, a non-profit organization dedicated to the application of information infrastructure to community and economic development. He writes: ”A universal-service policy … could encourage a leveling effect between information haves and have-nots. Such a policy would flow from a federal framework or set of guidelines, and would provides states considerable flexibility, allowing decisions to be made at the local level. Such a policy would combine market incentives and individual tax credits to increase computer ownership among low-income households, provide electronic mail services for children and job-seekers, promote development of public access network services, and fund network literacy programs through adult education programs, public libraries, and schools.”

Date of prediction: January 1, 1995

Topic of prediction: Information Infrastructure

Subtopic: Universal Service

Name of publication: Public Access to the Internet (book)

Title, headline, chapter name: The Internet and the Poor

Quote Type: Direct quote

Page number or URL of document at time of study:
Page 176

This data was logged into the Elon/Pew Predictions Database by: Guarino, Jennifer Anne