Detecting and forecasting emerging R&D topics can help focus research policy, program management, and individual research agendas. The VPInstitute is sponsoring a 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. The contest dataset will be distributed April 2019 to 22 teams participating from 7 countries. The contest winner will be recognized at GTM2019, October 17, 2019. For more information visit VPInstitute.org - Academic Portal
The VP Institute is pleased to announce the 9th Global TechMining Conference (GTM) will take place October 17th immediately following the 8th Atlanta Conference on Science and Innovation Policy, October 14-16th. A "Call for Papers" is currently active with abstracts being accepted through April 15, 2019. The conference keynote will be delivered by Dr. Caroline S. Wagner, Ambassador Milton A. and Roslyn Z. Wolf Chair in International Affairs at the John Glenn School of Public Affairs, Ohio State University.
Tech Mining, a special form of “Big Data” analytics, aims to generate practical intelligence using bibliometric and text-mining software (e.g., VantagePoint, DDA), as well as other analytical & visualization tools to analyze Science, Technology & Innovation (ST&I) information resources. ST&I researchers, managers, and policy-makers use Tech Mining to gain Competitive Technical Intelligence (CTI) and to pursue opportunities (enriching grant applications, scoping projects, targeting cutting-edge topics, and assessing R&D effectiveness). GTM aims to engage cross-disciplinary networks of analysts, software specialists, researchers, policymakers, and managers to advance uses of textual information in multiple science, technology, and business development fields.
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
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).