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