Call for Papers: Technology Mining – Text Analytics for Evidence-Based Foresight

Edited Springer Nature Book Volume:

Prof. Dr. Henrique da Hora, Instituto Federal Fluminense, Brazil (ORCID: 0000-0001-7192-9245)
Dr. Alan L. Porter, Search Technology, Inc., USA (ORCID: 0000-0002-4520-6518)
Dr. Yi Zhang, University of Technology Sydney, Australian Artificial Intelligence Institute, Australia (ORCID: 0000-0002-7731-0301)
Denise Chiavetta, Search Technology, Inc, USA (ORCID: 0000-0002-1399-0432)

Text mining supports decision making in Science, Technology & Innovation (ST&I) policy & management – e.g., competitive technical intelligence, R&D management, and research evaluation. Expanding and novel data bring both opportunities and challenges. Researchers, analysts, and decision makers need to track ST&I dynamics together with rapidly evolving economic & societal factors, validating the necessity of evidence-based foresight.

  1. “text analytics” is advancing sharply now as “intelligent bibliometrics” develops – i.e., applying Artificial Intelligence to analyses of ST&I text resources
  2. “evidence-based foresight” – increasing availability of multiple “large data” resources invites novel, powerful new forecasting capabilities


  • Evidence-Based Foresight
  • Foresight Studies
  • Future-oriented Technology Analysis
  • Technolog* Emergence
  • Emerging Topics
  • Text analytics
  • Bibliometrics
  • Scientometrics
  • ST&I topical evolution pathway maps
  • Research community network maps

We will accept manuscripts according to three sections:

Novel Digital Information Sources

– e.g., optimization/integration of “360 degree view”, i.e. science, economic, political, social domains

Processing Methods

-e.g., accelerate and optimize methods involving human-expertise (e.g. Delphi)

ST&I Mapping:  Visualizations and Other Outputs


Pre-view Abstracts accepted January 1 –September 1, 2023 e-mail extended abstracts to with subject “ABSTRACT SUBMISSION: Springer Nature”

  • While an abstract is not required, please feel free to submit an extended abstract prior to submitting a manuscript. We would then be happy to provide early feedback as to the fit of your topic to this edition before your manuscript is completed.

Manuscripts accepted January 1 –November 1, 2023 e-mail manuscripts to with subject “MANUSCRIPT SUBMISSION: Springer Nature”

  • While the volume does not have a set requirement, we expect completed manuscripts to consist of approximately 8,000 words + considerable visual material. Intent to submit manuscripts considerably shorter or longer would best submit a pre-view abstract for feedback.

Peer review process February 1 – December 1, 2023

Revised manuscript submission deadline December 30, 2023

Spring Nature Submission Instructions