AI + Informetrics for Tech Mining
How can we theoretically and practically cohere AI and informetrics for tech mining?
Guest editors:
Yi Zhang (Executive Guest Editor)
Australian Artificial Intelligence Institute, University of Technology Sydney, Australia
yi.zhang@uts.edu.au
Chengzhi Zhang
Department of Information Management, Nanjing University of Science and Technology, China
zhangcz@njust.edu.cn
Wei Lu
School of Information Management, Wuhan University, China
weilu@whu.edu.cn
Philipp Mayr
GESIS -- Leibniz-Institute for the Social Sciences, Germany
philipp.mayr@gesis.org
Alan Porter
Search Technology, Inc., USA.
aporter@searchtech.com
Special issue information:
Possible topics for this special issue include, but are not limited to, the following topics:
Tech mining-oriented entity extraction and summarisation
AI -empowered modelling with ST&I-related bibliometric/scientometric/informetric indicators
Large language models and applications for tech mining
AI + informetrics for science of science
AI + informetrics for science, technology, & innovation
AI + informetrics for research policy and strategic management
Manuscript submission information:
The Technological Forecasting and Social Change’s submission system will be open for submissions to our Special Issue from October 1st, 2024. When submitting your manuscript to https://www2.cloud.editorialmanager.com/tfs/default2.aspx, please select the article type “VSI: AII-Tech Mining”. Please submit your manuscript before April 30th, 2025.
Please ensure you read the Guide for Authors before writing your manuscript. The Guide for Authors and link to submit your manuscript is available on the Journal’s homepage at: https://www.sciencedirect.com/journal/technological-forecasting-and-social-change
Keywords:
Tech mining; artificial intelligence; informetrics; technology management; innovation
Technological Forecasting and Social Change的CAR指数
2023年3月份科睿唯安官方一次性踢除35本SCI期刊，多数涉及学术诚信问题，让我们意识到学术期刊的“被踢”指数，也很重要。目前，对于期刊的“被踢”指数，这里介绍一下：CAR指数（关于CAR的详细介绍，请关注：www.jcarindex.com），这是一种评价期刊学术诚信风险的指数，指数越高代表可能的风险越大。从数据看，Technological Forecasting and Social Change不管是2022年度，还是2023年度的CAR指数，都是比较低的。当然，CAR指数仅供参考，期刊风险情况，需以科睿唯安或中科院预警等官方为准！
让推送更美好~
