Identifying emerging technologies has been of long-standing interest to many scholars and practitioners. Previous studies have introduced methods to capture the concept of emergence from bibliographic records, including the recently proposed Technology Emergence Indicator (Carley et al. 2018). This indicator method has shown to be applicable to various technological fields. However, the indicator uses a limited time window, which can overlook the potential long-term evolution of emerging technologies. In the paper "Understanding the long-term emergence of autonomous vehicles technologies" the authors propose an improved version of the Technology Emergence Indicator that addresses these issues.
Assessing corporate engagement with an emerging technology is essential for understanding the development of research and innovation systems. In the upcoming published research "Corporate Engagement with Nanotechnology through Research Publications", J. Youtie, R. Ward, P. Shapira, et. al use VantagePoint to examine the extent of corporate authorship and collaboration in nanotechnology publications from 2000 to 2019. This type of analysis can be beneficial to examining national systems of research and development.
The unprecedented, explosive growth of the COVID-19 domain presents challenges to researchers to keep up with research knowledge within the domain. In the paper "Tracking and Mining the COVID-19 Research Literature" this research is profiled to help make that knowledge more accessible via overviews and novel categorizations. Porter et. al. provide websites offering means for researchers to probe more deeply to address specific questions. The authors further probe and reassemble COVID-19 topical content to address research issues concerning topical evolution and emphases on tactical vs. strategic approaches to mitigate this pandemic and reduce future viral threats. Data suggest that heightened attention to strategic, immunological factors is warranted. Connecting with, and transferring in, research knowledge from outside the COVID-19 domain demands a viable COVID-19 knowledge model. This study provides complementary topical categorizations to facilitate such modeling to inform future Literature-Based Discovery (LBD) endeavors.
The VP Institute is pleased to co-sponsor the 11th Global TechMining Conference along with the Institute of Project Management and Innovation (IPMI)at University of Bremen and the Chair for Technology, Innovation Management and Entrepreneurship at the University of Bonn as a wholly virtual event, accessible to all members of our global community.
GTM2021 seeks to bring together ST&I analysts, software specialists, researchers, and managers to advance text-data-driven solutions. Submissions for oral presentations now being accepted through July 31, 2021.