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Creators/Authors contains: "Carley, S.F."

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  1. ; ; ; (, Scientometrics)
    Developing useful intelligence on scientific and technological emergence challenges those who would manage R&D portfolios, assess research programs, or manage innovation. Recently, the U.S. Intelligence Advanced Research Projects Activity Foresight and Understanding from Scientific Exposition Program has explored means to detect emergence via text analyses. We have been involved in positing conceptual bases for emergence, framing candidate indicators, and devising implementations. We now present a software script to generate a family of Emergence Indicators for a topic of interest. This paper offers some background, then discusses the development of this script through iterative rounds of testing, and then offers example findings. Results point to promising and actionable intelligence for R&D decision-makers. 
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    Accepted Manuscript Full Text Available
  2. ; ; ; (, Technological forecasting & social change)
    https://doi.org/10.1016/j.techfore.2018.04.016 Summary: Indicators of technological emergence promise valuable intelligence. We present an implemented algorithm to calculate emergence scores (EScores) for topical terms from abstract record sets. We offer a family of emergence indicators. Primary emergence indicators identify “frontier” terms based on their EScores. We then tally organizations, countries, or authors especially active in publishing (or patenting) on high EScore topics in a target R&D domain. We can score research fields on relative degree of emergence. This paper illustrates EScoring for Nano-Enabled Drug Delivery, Non-Linear Programming, Dye Sensitized Solar Cells, and Big Data. 
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    Accepted Manuscript Full Text Available
  3. ; ; ; ; ; ; (, Technology analysis & strategic management)
    https://doi.org/10.1080/09537325.2018.1480013 published online 
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    Accepted Manuscript Full Text Available