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Where is the Innovation? Government Sponsorship vs the Private Sector

Intellectual Property Today, October 01, 2008

Today, Governments that want insight into both the macroeconomic and microeconomic aspects of technological competitiveness are one of the primary beneficiaries of Patent Analytics. Long gone are the days of the 1900s Laissez-Faire Governments where economic policy was entrusted to the invisible hand. Through massive economic hardship and a depression or two, governments, and the U.S. in particular, have learned to play an active role in determining economic policy. Active governmental monitoring of innovation began in the U.S. in the late 1960s with a government funded study called the Traces Study. The Traces Study pioneered the application of quantitative analysis to tracing innovation. Eventually, the analytic approaches defined in the Traces Study evolved into the National Science Foundation’s Biennial Science & Engineering Indicators reports, initiated in 1972. Presently, the Board of Science, Technology, and Economic Policy (STEP), an advisory board to the National Academies, also utilizes Patent Analytics to evaluate governmental programs and funding in conjunction with traditional means of economic analysis, such as dissecting the labor and capital associated with technology-driven industries. Governmental funding is one of the many proactive roles a government takes in fostering innovation and it yields thousands of scientific discoveries, as well as vast amounts of intellectual property. However, with an average of 162,0001 U.S. utility patents issued per year, any economic analysis premised on patents must be performed in both an efficient and effective manner.


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Research Universities: Would they benefit from Patent Analytics?

Intellectual Property Today, September 01, 2008

Patents are in the DNA of research universities. Professors attain tenure within the universities’ “publish or perish” environment. Patents are a key vehicle to publish the professor’s breakthrough ideas. The Museum of Fine Arts in Boston presents an exhibit of early man-made flints. Apparently, the flint makers from 60,000 years ago knew almost everything there was to know about sharp technology, because 30,000 years later, flints can be made only a bit sharper. To manage a research university as if everything of significance has already been thought of is a bit Neanderthal. However, as a research university creates new patented ideas it creates a key asset for the university and society at large. Patent analytics becomes a tool for managing, monetizing and commercializing the patented ideas for these universities’ and generates a greater good for the community at large in the form of economic development.

In the previous month’s issues, we started the discussion of “Why Use Patent Analytics?” In this discussion we identified Fortune 1000 companies, New Ventures, Investors, Lawyers and Governments as potential users of patent analytics. In this list we overlooked one key potential user – Research Universities. This month we are addressing that constituent. In our previous articles we also identified four types of patent analytics that could be useful: Patent Component Analysis, Bibliometric Analysis, Expert Opinion Analysis (Subject Matter Expert), and Financial Modeling. In this article, we will look at the potential use of these analytic tools within Universities.

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A framework for optimising patent-based assets

IAM Magazine, January 15, 2007

Patents are simply the best method of protecting product innovation for technology-driven companies. Patents are becoming increasingly more predictive as a greater percentage of a company’s enterprise value is linked to its intangible assets. As this trend matures, there is added pressure to value individual patents and technology areas within portfolios accurately in order to understand which assets contribute most to value creation. This understanding allows corporate financing mechanisms that are hugely beneficial to both the corporate and financial communities. The key to determining the value of a patent or portfolio is establishing its link to current or future commercial success. This link is made possible through accurate patent-to-product data, standard metrics and a consistent and timely method for the valuation.

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