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Accelerating technology transfer from federal laboratories to the private sector by industrial R and D collaborations - A new business model

Lombana, Cesar A.; Romig, Alton D.; Martinez, Leonard J.

Many important products and technologies were developed in federal laboratories and were driven initially by national needs and for federal applications. For example, the clean room technology that enhanced the growth of the semiconductor industry was developed at Sandia National Laboratories (SNL) decades ago. Similarly, advances in micro-electro-mechanical-systems (MEMS)--an important set of process technologies vital for product miniaturization--are occurring at SNL. Each of the more than 500 federal laboratories in the US, are sources of R and D that contributes to America's economic vitality, productivity growth and, technological innovation. However, only a fraction of the science and technology available at the federal laboratories is being utilized by industry. Also, federal laboratories have not been applying all the business development processes necessary to work effectively with industry in technology commercialization. This paper addresses important factors that federal laboratories, federal agencies, and industry must address to translate these under utilized technologies into profitable products in the industrial sector.

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Line of Sight: A process for transferring science from the laboratory to the market place

Lombana, Cesar A.; Romig, Alton D.; Lombana, Cesar A.

Commercialization and transfer of technology from laboratories in academia, government, and industry has only met a fraction of its potential and is currently an art not a science. The line of sight approach developed and in use at Sandia National Laboratories, is used to better understand commercialization and transfer of technology. The line of sight process integrates technology description, the dual process model of innovation and the product introduction model. The model, that the line of sight is based OR is presented and the application of the model to both disruptive and sustaining technologies is illustrated. Work to date suggests that the differences between disruptive and sustaining technologies are critical to quantifying the level of risk and choosing the commercialization path. The applicability of the line of sight to both disruptive and sustaining technologies is key to the success of the model and approach.

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2 Results
2 Results