View this program: with abstractssession overviewtalk overview
Welcome – Alan Porter and Denise Chiavetta
Keynote– Gaétan de Rassenfosse
| 09:45 | Temporal Graph Learning for Predicting Technology Evolution (abstract) PRESENTER: Yi Zhang |
| 10:05 | A Unifying Review of LLM and Tech Mining Methodology (abstract) |
| 10:25 | Filtering Technology-Social Issue Links with Large Language Models: A Literature-Based Discovery Approach (abstract) |
| 09:45 | birddog: Detecting Technological and Scientific Trajectories (abstract) PRESENTER: Roney Souza |
| 10:05 | Gain New Insights by Reviewing the Past: How New Ideas Evolution in Science (abstract) PRESENTER: Ying Guo |
| 10:25 | The Income Distribution Effects of Banking Fintech Innovation: Matthew Effect or Trickle-Down Effect? (abstract) PRESENTER: Ming Shi |
| 11:20 | A methodology to identify technology clusters per firm in patents (abstract) PRESENTER: Rainer Frietsch |
| 11:40 | The Impact of the Open IP Strategies on Technology Development: Evidence from the Low Emission Vehicles Field (abstract) PRESENTER: Xiaoyu Zhang |
| 12:00 | Identifying Core Technology with Patent Text Mining (abstract) PRESENTER: Yin Yu |
| 11:20 | IP landscape of autonomous mobile robots based on the integrated analyses of patent portfolio in the AMR ecosystem (abstract) PRESENTER: Brian C.E. Kuo |
| 11:40 | Scientific research on biofertilizers: birth and evolution of trajectories (abstract) PRESENTER: José Maria Silveira |
| 12:00 | Unmanned aerial vehicle and satellite communication patents and their strategic correlation analyses among members of value chains (abstract) PRESENTER: Ya-Wen Hsueh |
We invite you to join us for a series of “5-minute Power Talk” presentations on upcoming research.
| 13:10 | Integrating Generative AI and large language model for patent process visualization and intellectual property protection applications (abstract) PRESENTER: Yun-Chiao Lee |
| 13:15 | Gendered Hierarchies of Visibility: Institutional Prestige, Gender, and Citation Patterns in Sociology, 1992–2005 (abstract) |
| 13:20 | Utilizing AI-Driven Text Mining to Enhance Students' Curiosity-Based Academic Writing (abstract) PRESENTER: Heather Young |
| 13:25 | The Key Determinants of the Systematic Transformation of Green Technology Innovation System (abstract) PRESENTER: Hung-Chi Chang |
| 13:30 | Understanding cultural shifts through uncertainty measures: a text-analysis of journal publication abstracts (abstract) PRESENTER: Huaxia Zhou |
| 13:35 | Tech Mining Across Different Text Sources: A Comparative Analysis of Metaverse-Related Patents and News (abstract) |
| 13:40 | Examination of disparities in open bibliometric database (abstract) PRESENTER: Huaxia Zhou |
| 14:00 | The meaning of Novelty: Introducing the Novelty Vector using AI (abstract) |
| 14:20 | AI in Science: A New Approach to Understanding its Use and Diffusion (abstract) PRESENTER: Liangping Ding |
| 14:40 | Tech Mining for Support of Research Network Management (abstract) PRESENTER: Scott Cunningham |
| 14:00 | Understanding Future AI-Green Technology Directions from Past Technological Trajectories (abstract) PRESENTER: Tommaso Ciarli |
| 14:20 | Mapping Artificial Intelligence Innovation Ecosystem: A Case Study of the Small Emerging Economy (abstract) PRESENTER: Hung-Chi Chang |
Panelists
Alan Marco, Gaétan de Rassenfosse, Christopher Harrison, Scott Cunningham
This panel will explore the current state of global Intellectual Property (IP) activity across patents, trademarks, and copyrights. It will address the challenges of comparing IP data across jurisdictions due to heterogeneity between authorities, even with the WIPO framework facilitating communication and data transmission. The discussion will highlight the growing complexity of IP analysis with the advent of large language models (LLMs), machine learning, and increased processing capabilities. The panel will focus on the difficulties of making global comparisons and the need for the research community to understand these nuances to ensure effective indicators and models for future analysis.
Closing Observations – Alan C. Marco
Wrap-up - Denise Chiavetta and Alan Porter