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Publisher: NATIONAL ACADEMIES PRESS, February of 2021 ‧
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Federal laboratories play a unique role in the U.S. economy. Research and development conducted at these labs has contributed to the advancement or improvement of such key general-purpose technologies as nuclear energy, computers, the Internet, genomics, satellite navigation, the Global Positioning System, artificial intelligence, and virtual reality. Digital output from federal laboratories includes data, metadata, images, software, code, tools, databases, algorithms, and statistical models. Importantly, these digital products are nonrivalrous, meaning that unlike physical products, they can be copied at little or no cost and used by many without limit or additional cost.

Advancing Commercialization of Digital Products from Federal Laboratories explores opportunities to add economic value to U.S. industry through enhanced utilization of intellectual property around digital products created at federal laboratories. This report examines the current state of commercialization of digital products developed at the federal labs and, to a limited extent, by extramural awardees, to help identify barriers to commercialization and technology transfer, taking into account differences between government-owned, contractor-operated (GOCO) and government-owned, government-operated (GOGO) federal labs.

Advancing Commercialization Of Digital Products From Federal Laboratories

by Policy And Global Affairs, Committee On Advancing Commercialization From The Federal Laboratories, Engineering, And Medicine National Academies Of Sciences e Technology, And Economic Policy Board On Science

Property Description
ISBN: 9780309685979
Publisher: NATIONAL ACADEMIES PRESS
Release Date: February of 2021
Language: English
Pages: 188
Format: eBook
File Format and Compatibility:
Categories: eBooks in English > Computing > Other Applications
eBooks in English > Computing > Introduction to Computing
EAN: 9780309685979
Acessibilidade: Ver características de acessibilidade indicadas pelo editor