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Two-year Study "Using the ORCID ID and Emergence Scoring to Study Frontier Researchers" Complete

The two and half year NSF research award to study "Using the ORCID ID and Emergence Scoring to Study Frontier Researchers" is complete and the Project Outcomes Report is now available for viewing at the Research.gov Research Spending and Results site

 Enter Federal Award ID Number:  1645237, then click "Search"

Then click on that Federal Award ID Number to see the Project Outcomes Report.

Scientific publication is the main vehicle for distributing research findings. This project addressed two complementary information elements to 1) help identify authorship and 2) distinguish content of research publication records. Both serve to facilitate further analyses of scientific contributions. Scientific publication is the main vehicle for distributing research findings. R&D emergence indicators provide a complementary metric to established measures, including funding level, publication activity, and citations received by those publications. Emergence offers an added dimension in ascertaining what is cutting edge research and who are the key players pursuing that research.

Measuring Tech Emergence Contest 2019

We are excited to send out a contest dataset this April 2019 to 22 teams participating from 7 countries in a Measuring Tech Emergence contest. The contest winner will be recognized at GTM2019, October 17, 2019. For more information visit VPInstitute.org - Academic Portal. Detecting and forecasting emerging R&D topics can help focus research policy, program management, and individual research agendas. The VPInstitute is sponsoring this  Measuring Tech Emergence "Contest" and complementary paper track at the 9th Global TechMining (GTM2019) "Conference" to stimulate thinking about emergence and tech mining [text analyses of Science & Technology (S&T) information resources] to generate novel and viable indicators.

Emergence scoring to identify frontier R&D topics and key players,

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. The paper is part of a special TFSC issue on tech emergence.

Porter, A.L., Garner, J., Carley, S.F., and Newman, N.C. (2018), Emergence scoring to identify frontier R&D topics and key players, Technological Forecasting and Social Change,  https://doi.org/10.1016/j.techfore.2018.04.016

 

Book Release: Current Challenges in Patent Information Retrieval

Luciano Kay, Alan Porter, Jan Youtie, Nils Newman, and Ismael Rafols' paper titled "Visual analysis of patent data through global maps and overlays" appears in the recently released book Current Challenges in Patent Information Retrieval Springer (2017). 

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