Accelerating the transfer of technology and funds into the market should help startups get off the ground faster while creating new technologies, according to the administration.
To do this, the directive gives agencies more flexibility to work with industry and businesses.
It also directs them to more quickly and easily develop private-public research partnerships, small-business research and development grants, and collaborations between universities and startups. This should make it 50% faster for grants to reach startups, according to the administration.
Agencies also must develop a five-year plan with goals and metrics to keep track of how many patents each lab is generating.
Eleven government agencies currently have active research laboratories that transfer technology to both the public and private sector: the Department of Agriculture (USDA), Department of Commerce, Department of Defense (DOD), Department of Energy, Department of Health and Human Services (HHS), Department of Homeland Security (DHS), Department of the Interior, Department of Transportation, Department of Veterans Affairs (VA), Environmental Protection Agency (EPA), and NASA.
A recent federal report on the technology transfer program found that the number of inventions coming out of federal labs had slowed over the past five years, but agencies had increased their number of patents and patent applications in the same time frame.
The administration also will launch a new online resource within 90 days called BusinessUSA as part of Obama's directive.
The website will provide a single place for businesses--particularly smaller ones--to find information on federal programs and services that will help them begin or increase exporting, according to the directive. It also will help them connect with each other and the right federal agencies directly through the website, according to the administration.
InformationWeek Tech Digest, Nov. 10, 2014Just 30% of respondents to our new survey say their companies are very or extremely effective at identifying critical data and analyzing it to make decisions, down from 42% in 2013. What gives?