In conjunction with the Atlanta Conference on Science and Innovation Policy (ATLC) October 10-11, the VP Institute is sponsoring the 7th Global TechMining Conference October 9 (*with a special joint ATLC/GTM Opening Reception - Poster Session that evening). 

Tech Mining, a special form of “Big Data” analytics, aims to generate practical intelligence using bibliometric and text-mining software (e.g., VantagePoint, TDA) as well as other analytical & visualization applications for analyses of Science, Technology & Innovation (ST&I) information resources.  Management and policy target uses include Competitive Technical Intelligence (CTI), and university, government, and industry research management (enriching grant applications, scoping projects, avoiding redundant research, and assessing R&D effectiveness). The GTM2017 program committee is pleased to announce our 2017 keynote will be delivered by Stuart Graham, JD, PhD, 2010-2013 Chief Economist of the United States Patent & Trademark Office (USPTO). Intellectual Property (IP) data is one of the many important sources of S,T & I information sources in TechMining methods and applications. The journal World Patent Information will publish a special TechMining issue, accepting manuscripts from GTM2017.

The goal of the conference is to ENGAGE cross-disciplinary networks of analysts, software specialists, researchers, policymakers, and managers to ADVANCE the use of textual information in multiple science, technology, and business development fields. The conference program will address key CHALLENGES in:


  • Sourcing, preparing, and interpreting data sources including patents, publications, webscraping, and other novel data sources

Text-mining tools and methods

  • Best practices in software-based topic modeling, clumping, association rules, term manipulation, text manipulation, etc.
  • Visualization

Applied research

  • Future-Oriented Technology Analysis (FTA)
  • Intelligence gathering to support decision-making in the private sector (e.g., Management of Technology)

This conference is intended for researchers and students across multiple fields, especially Scientometrics, Public Policy, Management of Technology and Information Science.


We are thankful for the support of our sponsors!

Interested in sponsorship? Get more information.

Conference Partners

We are thankful for our partners’ contributions to the organization of the conference

Related Links

KDnuggets- Analytics and Data Mining Resources


View the 2016 GTM Program