9th Global TechMining Conference - October 2019

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. 

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. 

VP Training at 2018 Manchester Forum on Data Analytics, Tech Mining & Innovation Policy

The Manchester Institute of Innovation Research in conjunction with the Innovation Co-Lab, the VP Institute and Search Technology is sponsoring the 2018 Manchester Forum on Data Analytics, Tech Mining and Innovation Policy. The Forum brings together active users of data science, tech mining, modelling, and visualization methods who are applying these methods to science and innovation policy, technology transfer, technology intelligence, and technology and innovation management. This year's event builds on the success of earlier Manchester Forums on Data Analytics and Innovation in 2013 and 2015. As part of the Forum, a half-day session of hands-on VantagePoint training and updates on new VantagePoint features will be offered. This will take place on Tuesday 4 September from 2pm – 5.30pm. For complete information on the training session, click here.  

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,


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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