Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Nils C. Newman"'
Publikováno v:
Frontiers in Research Metrics and Analytics, Vol 9 (2024)
This mini-review arrays the pertinent tools and purposes of “Tech Mining” – shorthand for empirical analyses of Science, Technology and Innovation (ST&I) data. The intent is to introduce the range of tools, and show how they can complement each
Externí odkaz:
https://doaj.org/article/a417f8d7cdbb4609aa3278853a656576
Publikováno v:
IEEE Transactions on Engineering Management. 68:1259-1271
Efforts to involve data science in policy analysis can be traced back decades but transforming analytic findings into decisions is still far from straightforward task. Data-driven decision-making requires understanding approaches, practices, and rese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56e5a4045b340e7db54577748a27206b
https://doi.org/10.1109/tem.2020.2974761
https://doi.org/10.1109/tem.2020.2974761
Publikováno v:
World Patent Information, 73:102178. Elsevier Limited
This paper introduces a new measure of patent value - Maintenance Renewal Score (MRSc) - reflecting assignee valuing the patent by paying successive renewal fees. We generate MRSc's for nanotechnology patents issued by the US Patent Office from 1999
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b15a7bc1b8f67de33dab5825edc85170
https://doi.org/10.1016/j.wpi.2023.102178
https://doi.org/10.1016/j.wpi.2023.102178
Publikováno v:
Technological Forecasting and Social Change. 146:628-643
Indicators of technological emergence promise valuable intelligence to those determining R&D priorities. We present an implemented algorithm to calculate emergence scores for topical terms from abstract record sets. We offer a family of emergence ind
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40f68b6a306686a1156fb3059b4cd94c
https://doi.org/10.1016/j.techfore.2018.04.016
https://doi.org/10.1016/j.techfore.2018.04.016
Publikováno v:
Youtie, J, Ward, R, Shapira, P, Porter, A L & Newman, N 2021, ' Corporate Engagement with Nanotechnology through Research Publications ', Journal of Nanoparticle Research, vol. 23, no. 4, 85 . https://doi.org/10.1007/s11051-021-05195-4
Assessing corporate engagement with an emerging technology is essential for understanding the development of research and innovation systems. Corporate publishing is used as a system-level knowledge transfer indicator, but prior literature suggests t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6797fabf494838e7cb10c47f0ec88f28
https://doi.org/10.1007/s11051-021-05195-4
https://doi.org/10.1007/s11051-021-05195-4
Autor:
Stephen Carley, Jan Youtie, Yin Li, Seokbeom Kwon, Jon Garner, Alan L. Porter, Nils C. Newman
Publikováno v:
Technology Analysis & Strategic Management. 31:25-39
A new bibliometric technique enables one to distinguish high emergence topical content. This technique can be applied to sets of research publication abstracts reflecting a given technical domain (...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d3913343bca4b653092d14b8f4018c2
https://doi.org/10.1080/09537325.2018.1480013
https://doi.org/10.1080/09537325.2018.1480013
Publikováno v:
Scientometrics. 115:35-49
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 a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a82dd26c08f5326947081c68d892985
https://doi.org/10.1007/s11192-018-2654-5
https://doi.org/10.1007/s11192-018-2654-5
Publikováno v:
Scientometrics. 111:2077-2087
This study advances a four-part indicator for technical emergence. While doing so it focuses on a particular class of emergent concepts--those which display the ability to repeatedly maintain an emergent status over multiple time periods. The authors
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7022d8984cf601f7c112567e88714869
https://doi.org/10.1007/s11192-017-2342-x
https://doi.org/10.1007/s11192-017-2342-x
Publikováno v:
Technological Forecasting and Social Change. 159:120176
We conducted a contest to predict highly active research topics. Participants analyzed ten years of Web of Science abstract records in a target technological domain (synthetic biology) so as to indicate cutting edge sub-topics likely to be actively p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1127e998a5d70268e9fd728b1fc0b478
https://doi.org/10.1016/j.techfore.2020.120176
https://doi.org/10.1016/j.techfore.2020.120176
© 2018 Portland International Conference on Management of Engineering and Technology, Inc. (PICMET). What are the implications of big data in terms of big impacts? Our research focuses on the question, 'How are data analytics involved in policy anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3460327cdb1601711c1986032d3aa180
https://hdl.handle.net/10453/131067
https://hdl.handle.net/10453/131067
