Panel: New Data for the Economics of Science and Innovation Policy
(Science & Technology)

Saturday, November 10, 2012: 1:45 PM-3:15 PM
Chesapeake (Sheraton Baltimore City Center Hotel)

*Names in bold indicate Presenter

Organizers:  Julia Lane, Senior Managing Economist at the American Institutes for Research
Moderators:  Maryann Feldman, University of North Carolina at Chapel Hill
Chairs:  Stuart Graham, USPTO

The United States invests some $160 billion in federal R&D every year. Little is known about the results of those investments; science policy investments are typically made on the basis of faith rather than evidence. Indeed, the Science of Science Policy Interagency Working Group, a subcommittee of the National Science and Technology Council’s Social, Behavioral and Economic Sciences subcommittee, summarized current agency practice in a 2008 Roadmap. A key finding was that the current data infrastructure was inadequate for decision-making. This panel describes new data that have been generated to improve that infrastructure - new data on patents, new data on science investments and the scientific workforce, and new data linking university research funding and economic outcomes. The purpose of the session is to engage the APPAM research community in using the data to increase the evidence basis for science policy.

Improved Data for Science Policy Through Patent Data and the STAR Metrics API
Ron Lai, National Science Foundation and Lee Fleming, University of California Berkeley

New Data to Describe Science Investments: STAR Metrics
Julia Lane, New York University and Lou Schwarz, Factor21

STAR Metrics, LEHD and Networks
Maggie Levenstein and Jason Owen-Smith, University of Michigan

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