Intelligence Drives Future Insights - Exploring the Transformative Power of Tech Mining
Search Technology via the VP Institute is pleased to co-host the 16th Global TechMining Conference (GTM2026) with the School of Information Management (SIM), Wuhan University, China.
Tech Mining is text-oriented analytics that aims to generate practical intelligence from Science, Technology & Innovation (ST&I) information resources – i.e., “Big Data” in various forms. It uses bibliometric and text-mining software (e.g., Derwent Data Analyzer (DDA), VantagePoint) and many other analytical & visualization tools. Tech mining supports decision making in ST&I policy & management – e.g., competitive technical intelligence, R&D management, and research evaluation. Expanding and novel data bring both opportunities and challenges. Researchers, analysts, and decision makers need to track ST&I dynamics together with rapidly evolving economic & societal factors, validating the necessity of evidence-based foresight.
Key Areas of GTM2026 Interest:
1. Innovative Theories and Methodologies in Tech Mining:
- Exploration of cutting-edge applications in text mining, natural language processing, and machine learning for analyzing scientific and technological literature.
- Insights into the integration of artificial intelligence within Tech Mining frameworks, focusing on innovation metrics and management strategies.
- Techniques for synthesizing heterogeneous data sources, including patents, research papers, scientific news, and social media.
- Development of knowledge graphs, evolutionary analyses, and visualization methods to map technological innovation networks.
- Creation of novel models for technology forecasting, opportunity analysis, and roadmap development.
- Introduction of new indicators and frameworks for evaluating scientific research, measuring innovation performance, and assessing technological competitiveness.
2. Data-Driven Approaches to Technology Management and Decision-Making:
- Strategies for incorporating Tech Mining into R&D planning, project management, and resource optimization.
- Techniques for monitoring technology trends, competitive intelligence, and the early detection of disruptive innovations.
- Assessments of emerging technology areas, potential market opportunities, and pathways for commercialization.
- Simulations and evaluations of innovation policies at regional, national, and industry levels.
- Analysis of collaborative innovation networks among academia, industry, and research institutions.
3. Sector-Specific Applications of Tech Mining:
- Examination of technological trends in key areas such as artificial intelligence, biomedicine, and quantum information.
- Assessment of technological security and ethical implications within technology monitoring frameworks.
- Exploration of technologies aligned with the Sustainable Development Goals (SDGs) and their impact.
- Insights into technology transfer, research application, and effective intellectual property management.
- Case studies demonstrating technology solutions tailored to specific application scenarios.
4. Advancements in Tech Mining Tools, Platforms, and Infrastructure:
- Highlighting the development and deployment of innovative Tech Mining software and platforms.
- Establishing infrastructure for large-scale scientific data processing, storage, and computational needs.
- Promoting the use of open scientific data and open-source tools in the practice of Tech Mining.
- Building domain ontologies, ensuring terminology standardization, and maintaining data quality.
Interested in sponsorship? Get more information.
Conference Hosts and Sponsors
We are thankful for our partners’ contributions to the organization of the conference.
Related Links
KDnuggets- Analytics and Data Mining Resources