GTM2019: 9TH GLOBAL TECHMINING CONFERENCE
PROGRAM
Thursday, October 17th

View this program: with abstractssession overviewtalk overview

09:00-09:30 Session 1: Welcome and Keynote

Welcome - Denise Chiavetta and Alan Porter

Keynote "What are we "mining" when Tech Mining?"  - Caroline Wagner

Location: Rm 222
09:35-10:35 Session 2A: Network Analysis
Location: Rm 222
09:35
A Network-Based Automated Approach for Identifying Technological Spillovers with an Application in Solar Photovoltaics (abstract)
09:55
Emerging Terms and Co-authorship Dynamics: The Case of Microneedle Technology (abstract)
10:15
Frugal invention candidates as antecedents of frugal patents – the moderating role of frugal attributes analysed in the medical engineering technology (abstract)
09:35-10:35 Session 2B: Novel Data
Location: Rm 225
09:35
Research on subject profile of stem cell based on knowledge graph (abstract)
09:55
Identifying the potential emerging technologies: A machine learning approach using academic papers and Twitter data (abstract)
10:15
The adoption patterns of advanced technologies in Canada (abstract)
10:35-11:00Coffee Break
11:00-12:20 Session 3A: Topic Identification
Chair:
Location: Rm 222
11:00
Identifying the latent technology opportunities based on a perspective of coupling publications with patents (abstract)
11:20
Evaluating the effect of time and journal quality to topics: Structural topic models of scientific publications (abstract)
11:40
Term-based topic extraction incorporating word embedding techniques: A comparative study (abstract)
12:00
Evolution of Topics and Novelty in Science (abstract)
11:00-12:20 Session 3B: TechMining Methods
Chair:
Location: Rm 225
11:00
Revealing Distinct Association Patterns in Disease-Gene-Drug Based on Coupling Network and Subject-Action-Object-Triples (abstract)
11:20
A enhanced text-based approach to identify and trace technological topics: Illustrated for additive manufacturing (abstract)
11:40
Research on Potential Drug Side Effects Recognition Based on SAO Semantic Network (abstract)
12:00
Research on Evolutionary Process Recognition of Therapeutic Technology for Complicated Diseases (abstract)
12:20-13:50Lunch Break
13:15-13:45 Session 4: Power Talks
Location: Rm 222
13:15
A Multidimensional Bibliometric Indicator to Identify Top Players (abstract)
13:20
Research on Technology Opportunity Analysis of Treating AIDS Based on Link Prediction in Dynamic Networks (abstract)
13:25
Monitoring and Forecasting the Development Trends of Emerging Technologies Using Text Mining and Citation Analysis: The Case of Nanogenerator Technology (abstract)
13:30
A scientometric and text mining approach to identify the research hotspots and emerging topics on Himalaya using the Web of Science records (abstract)
13:35
A Big Data Knowledge Computing Platform for Information Research (abstract)
13:50-15:00 Session 5: Measuring Tech Emergence Contest Special Session

Noting rich synergies among analyses treating different facets of tech emergence, the VPInstitute sponsored a Measuring Tech Emergence “contest” this past April 2019 to generate novel and viable indicators. In this special session, we present contest winners as well as showcase the variety of approaches and challenges.

  • Welcome & Overview - Denise Chiavetta
  • Empirical Scoring - Alan Porter
  • Judges’ Perspectives -Nils Newman, Dewey Murdick, Phil Shapira
  • Short presentation of contest submissions:
  • Panel Discussion (contest participants, 3 judges)
  • Open Discussion

The Panel will consist of a selection of the 13 contest submissions, as represented below:

Location: Rm 222
13:50
Identifying Emerging Technology: A Neural Network Based Solution (abstract)
13:50
A Machine Learning Framework for Predicting Emerging Technologies (abstract)
13:50
A study on emerging topics discover by text minging (abstract)
13:50
Measuring technology emergence: Different approaches, different outputs (abstract)
13:50
Measuring Tech Emergence: Selected bibliometric approaches for the identification of emerging and promising technologies (abstract)
13:50
Co-word Network Embedding: A Way to Detect Emerging Technology (abstract)
13:50
Predicting Emerging Technologies: A Text Mining Approach Based on The Temporal Exponential Random Graph Model (TERGM) Methodology. (abstract)
13:50
Forecasting technology emergence: Scenario exploration and prediction accuracy (abstract)
15:00-15:25Coffee Break
15:25-16:25 Session 6A: Using Web Data
Location: Rm 222
15:25
Interdisciplinarity beyond bibliometrics - (in)validation of website information as an indication of interdisciplinarity (abstract)
15:45
Could the organisation’s websites be a valid data source for research? - An analysis of the complementary nature between web-based indicators and traditional indicators in innovation studies (abstract)
16:05
Comparing website measures on R&D with patenting indicators (abstract)
15:25-16:25 Session 6B: Network Analysis II
Chair:
Location: Rm 225
15:25
A dynamic network analysis method for identifying emerging technology (abstract)
15:45
LDA Meets Word2Vec: A Novel Model for Measuring Technology Similarity (abstract)
16:05
Identifying Key Technology Convergence Based on Complex Network and Sentiment Analysis (abstract)
16:30-17:00 Session 7: Conference Conclusion

TechMining for Global Good 2019 Awardee Presentation - Thomas Woodson

Closing Observations - Cassidy Sugimoto

Wrap-up - Denise Chiavetta and Alan Porter

Location: Rm 222
17:30-19:30 Session 8: GTM/TPAC Poster Contest with Cocktail Reception

This year’s Global TechMining Conference is pleased to welcome members of GaTech's Technology Policy and Assessment Center (TPAC) as judges for this year's poster session.

Location: Hodges Room
17:30
A study on evaluation methodology for preliminary (ex-ante) feasibility analysis of government R&D program in Korea (abstract)
17:30
Public R&D funds for influential publications (abstract)
17:30
Proximity and Cluster Effects: The Case of Emerging Biotechnology Innovation Networks (abstract)
17:30
Identification and Analysis of Innovation Value Stages in Research Fronts and follow-up studies (abstract)
17:30
Identifying Key Technologies Based on Scientific Papers Using Clustering and Complex Network Theory (abstract)
17:30
Detecting Fake News via Machine Learning- A Literature Review and Comparison of Existing Algorithms (abstract)
17:30
A Comparative Analysis on R&D Collaborations in Emerging Sectors: The Emergence of AIOT (abstract)
17:30
A Study on Global M&A and Innovation Networks in Life Science Sector (abstract)
17:30
The Emergence of Global 3D Printing Innovation Ecosystem (abstract)
17:30
Exploring a Method of Detecting Cross-topics of Science and Technology (abstract)