GTM2019: 9th Global TechMining Conference Georgia Tech Global Learning Center Atlanta, GA, United States, October 16-18, 2019 |
Conference website | http://www.gtmconference.org/ |
Submission link | https://easychair.org/conferences/?conf=gtm2019 |
Conference program | https://easychair.org/smart-program/GTM2019/ |
Abstract registration deadline | May 10, 2019 |
Submission deadline | September 1, 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 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.)
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Oral Presentations address well-advanced research (15 minutes + questions).
- Power Talks deliver a lively, concise description of your research and its impacts to the full plenary audience (5 minutes, 4 PowerPoint slides). Power talk presenters are also invited to present a poster in the evening’s Reception/Poster Session, if desired.
List of Topics
- Maximizing potential of traditional and novel text DATA: Tapping vital traits while minding limitations and matching analytical aims.
- resolving data hygiene issues generated by multiple sources
- ways to address newer data sources (e.g., web scraping, social media cumulations)
- transitioning from database mining to real-time streaming text analytics
- data structures and lattices
- Advancing and integrating METHODS.
- tracking “emergence” by extracting topical content via advanced natural language processing, term clumping, topic modelling, etc. to discern recently accelerating research topics
- algorithms for identification of emergence (of technologies and inception of notable innovations)
- combining topical and other empirical measures to predict near-future R&D emphases
- means to combine quantitative and qualitative approaches in practical case applications
- discovering higher-level properties of (complex) social networks to study research communities
- Innovative ANALYSES & translation to useful intelligence: Informative indicators and compelling visualizations.
Committees
Organizing committee
- Alan Porter
- Denise Chiavetta
Contact
All questions about submissions should be emailed to dchiavetta@searchtech.com