Award Abstract #1102468
NSF Patent Data Workshop

NSF Org:	SMA SBE Office of Multidisciplinary Activities
Initial Amendment Date:	January 31, 2011
Latest Amendment Date:	January 31, 2011
Award Number:	1102468
Award Instrument:	Standard Grant
Program Manager:	Julia I. Lane SMA SBE Office of Multidisciplinary Activities SBE Directorate for Social, Behavioral & Economic Sciences
Start Date:	February 15, 2011
Expires:	January 31, 2013 (Estimated)
Awarded Amount to Date:	$18365
Investigator(s):	Alexander Oettl alexander.oettl@mgt.gatech.edu (Principal Investigator)
Sponsor:	Georgia Tech Research Corporation Office of Sponsored Programs Atlanta, GA 30332 404/894-4819
NSF Program(s):	SCIENCE OF SCIENCE POLICY
Field Application(s):
Program Reference Code(s):
Program Element Code(s):	7626

ABSTRACT

This workshop facilitates the interaction of researchers working with patent data for the purpose of scholarship on innovation policy. The focus is on advancing and sharing knowledge on a series of technical issues including name disambiguation and matching patent data to other economically-relevant data sources.



Intellectual Merit: The workshop provides a unique forum for the exchange of patent data measurement related topics with the focus of informing innovation policy in a multi-disciplinary environment. It reduces unnecessary duplicative effort on data, measurement, and methodology, and hence increases the capacity to build both theory and for innovation policy. The workshop also advances an important SciSIP goal of creating a bridge between the academic and practitioner communities by directly engaging the United States Patent and Trademark Office (USPTO) and the academic community through the workshop participation of the USPTO's Chief Economist.

Broader Impact: The workshop advances the establishment of a robust data infrastructure for cumulative, transparent, and high-quality research and the ability to translate that research. It is an important step in continuing the empirical research tradition that has been built around the economic consequences of innovation. It provides an environment for high-quality high-impact research, with an emphasis on measurement. It fosters the development of a research community and research norms, and facilitates cumulative research across this community.

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