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

View this program: with abstractssession overviewtalk overview

08:30-09:00 Session 1: Welcome and Keynote

Welcome: Denise Chiavetta and Alan Porter

Keynote: Caroline Wagner

Location: Rm 222
09:05-10:05 Session 2A: MOT
Location: Rm 222
09:05
How can Competitive Technical Intelligence (CTI) facilitate decision-making and help firms define a technological strategy? (abstract)
09:25
Frugal invention candidates as antecedents of frugal patents – the moderating role of frugal attributes analysed in the medical engineering technology (abstract)
09:45
The adoption patterns of advanced technologies in Canada (abstract)
09:05-10:05 Session 2B: TECHMINING METHODS
Chair:
Location: Rm 225
09:05
Revealing Distinct Association Patterns in Disease-Gene-Drug Based on Coupling Network and Subject-Action-Object-Triples (abstract)
09:25
A enhanced text-based approach to identify and trace technological topics: Illustrated for additive manufacturing (abstract)
09:45
Research on Potential Drug Side Effects Recognition Based on SAO Semantic Network (abstract)
10:05-10:30Coffee Break
10:30-11:30 Session 3A: TOPIC ID TECHNIQUES I
Location: Rm 222
10:30
Identifying the latent technology opportunities based on a perspective of coupling publications with patents (abstract)
10:50
Evaluating the effect of time and journal quality to topics: Structural topic models of scientific publications (abstract)
11:10
Term-based topic extraction incorporating word embedding techniques: A comparative study (abstract)
10:30-11:30 Session 3B: NOVEL DATA
Location: Rm 225
10:30
Don’t Pass Me by – Text-based analytics for firm’s innovative activities under company activities and press release database (abstract)
10:50
Research on subject profile of stem cell based on knowledge graph (abstract)
11:10
Identifying the potential emerging technologies: A machine learning approach using academic papers and Twitter data (abstract)
11:35-12:35 Session 4A: WEB DATA
Location: Rm 222
11:35
Interdisciplinarity beyond bibliometrics - (in)validation of website information as an indication of interdisciplinarity (abstract)
11:55
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)
12:15
Comparing website measures on R&D with patenting indicators (abstract)
11:35-12:35 Session 4B: NETWORKS
Location: Rm 225
11:35
A dynamic network analysis method for identifying emerging technology (abstract)
11:55
LDA Meets Word2Vec: A Novel Model for Measuring Technology Similarity (abstract)
12:15
Identifying Key Technology Convergence Based on Complex Network and Sentiment Analysis (abstract)
12:35-14:05Lunch Break
13:25-14:00 Session 5: Power Talks
Location: Rm 222
13:25
A Multidimensional Bibliometric Indicator to Identify Top Players (abstract)
13:30
Data Mining for health judicialization management: organization of data flow and use of Information of judicial decisions for health (abstract)
13:35
Research on Technology Development Trend Based on SAO Network (abstract)
13:40
Monitoring and Forecasting the Development Trends of Emerging Technologies Using Text Mining and Citation Analysis: The Case of Nanogenerator Technology (abstract)
13:45
A scientometric and text mining approach to identify the research hotspots and emerging topics on Himalaya using the Web of Science records (abstract)
13:50
A Big Data Knowledge Computing Platform for Information Research (abstract)
14:05-15:05 Session 6A: NETWORK ANALYSIS
14:05
A network approach to assess the linkage between R&D Networks and Budget Allocation in Materials and Components (abstract)
14:25
A Network-Based Automated Approach for Identifying Technological Spillovers with an Application in Solar Photovoltaics (abstract)
14:45
Emerging Terms and Co-authorship Dynamics: The Case of Microneedle Technology (abstract)
14:05-15:05 Session 6B: TOPIC ID TECHNIQUES II
14:05
Evolution of Topics and Novelty in Science (abstract)
14:25
Research on Evolutionary Process Recognition of Therapeutic Technology for Complicated Diseases (abstract)
15:05-15:30Coffee Break
15:30-16:30 Session 7: Measuring Tech Emergence Special Session and Contest Award

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 [Stephen Carley and Denise Chiavetta]

Empirical Scoring [Alan Porter]

Judges’ Perspectives [Nils Newman, Dewey Murdick, Phil Shapira]

Short presentation of contest winners:

  • Shuo Xu et al. (2d)
  • Jin Mao et al. (1st)

Panel Discussion (8 contest participants, 3 judges)

Open Discussion


The Panel will consist of 8 of the 13 contest submsisions, as represented below:

  1. *Jin Mao, Chao Ma and Zhentao Liang. Identifying Emerging Technology: A Neural Network Based Solution
  2. **Shuo Xu, Liyuan Hao, Guancan Yang and Kun Lu. A Machine Learning Framework for Predicting Emerging Technologies
  3. Ziqiang Liu, Haiyun Xu, Zenghui Yue, Guoting Yuan, Yan Qi, Zhengyin Hu and Ning Yang. A study on emerging topics discover by text minging
  4. Chao Min, Tao Han and Bian Yiyang. Measuring technology emergence: Different approaches, different outputs
  5. Edgar Schiebel, Maximilian Förster, Robert Kalcik and Birgit Stelzer. Measuring Tech Emergence: Selected bibliometric approaches for the identification of emerging and promising technologies
  6. Yuan Zhou, Zihong Wang and Wei Ding. Co-word Network Embedding: A Way to Detect Emerging Technology
  7. Yang Guancan, Lu Kun and Xu Shuo. Predicting Emerging Technologies: A Text Mining Approach Based on The Temporal Exponential Random Graph Model (TERGM) Methodology.
  8. Li Tang, Yin Li, Yuhan Yang, Hong Pan, Xiaonan Pan and Linan Wang. Forecasting technology emergence: Scenario exploration and prediction accuracy
15:30
Identifying Emerging Technology: A Neural Network Based Solution (abstract)
15:30
A study on emerging topics discover by text minging (abstract)
15:30
Measuring technology emergence: Different approaches, different outputs (abstract)
15:30
Measuring Tech Emergence: Selected bibliometric approaches for the identification of emerging and promising technologies (abstract)
15:30
A Machine Learning Framework for Predicting Emerging Technologies (abstract)
15:30
Co-word Network Embedding: A Way to Detect Emerging Technology (abstract)
15:30
Predicting Emerging Technologies: A Text Mining Approach Based on The Temporal Exponential Random Graph Model (TERGM) Methodology. (abstract)
15:30
Forecasting technology emergence: Scenario exploration and prediction accuracy (abstract)
16:30-17:00 Session 8: Award Ceremony and Closing Observations

TechMining for Global Good 2019 Award

Closing Observations: Cassidy Sugimoto

Wrap-up: Denise Chiavetta and Alan Porter

Location: Rm 222
17:00-19:00 Session 9: 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
17:00
A study on evaluation methodology for preliminary (ex-ante) feasibility analysis of government R&D program in Korea (abstract)
17:00
Public R&D funds for influential publications (abstract)
17:00
Proximity and Cluster Effects: The Case of Emerging Biotechnology Innovation Networks (abstract)
17:00
Identification and Analysis of Innovation Value Stages in Research Fronts and follow-up studies (abstract)
17:00
Identifying Key Technologies Based on Scientific Papers Using Clustering and Complex Network Theory (abstract)
17:00
Detecting Fake News via Machine Learning- A Literature Review and Comparison of Existing Algorithms (abstract)
17:00
A Comparative Analysis on the International R&D Collaborations in Multiple Emerging Sectors (abstract)
17:00
A Study on Global M&A and Innovation Networks in Life Science Sector (abstract)
17:00
The Emergence of Global 3D Printing Innovation Ecosystem (abstract)
17:00
Exploring a Method of Detecting Cross-topics of Science and Technology (abstract)