Submissions

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Author Guidelines

 Manuscripts submitted to the Journal of Cyber-Physical-Social Intelligence (JCPSI) must be original, unpublished, and not under consideration by another journal, conference, or publisher in any language.   Article types.  JCPSI welcomes regular research papers, survey papers, tutorial papers, letters, technical notes, and case studies related to cyber-physical-social systems, artificial intelligence, automation, human-machine collaboration, intelligent infrastructure, and digital society.   Manuscript preparation.  Submissions should clearly state the research problem, scholarly contribution, methods, evidence, limitations, and relevance to the journal scope. Figures and tables should be numbered, cited in the text, and supplied at sufficient resolution. References should be complete and consistently formatted.   Peer review.  JCPSI uses double-blind peer review. Authors should remove identifying information from the manuscript file and from supplementary files intended for review. Editorial screening, including format requirements and technical suitability checks, is normally completed within 3-6 days. The first round of peer review is normally completed within 2-3 weeks.   Template.  Authors are encouraged to use the official manuscript template when preparing their submission:  LaTeX Template . 

 

Submission Preparation Checklist

  The submission is original, unpublished, and not under consideration elsewhere.  The manuscript fits the scope of JCPSI and clearly explains its contribution to cyber-physical-social intelligence or related intelligent systems.  The manuscript file and review files have been anonymized for double-blind peer review.  All authors, affiliations, email addresses, and ORCID iDs where available are accurate and complete.  References have been checked for accuracy, completeness, and consistency.  All figures, tables, datasets, and supplementary files are cited in the manuscript and have appropriate permissions where required.  Any funding sources, conflicts of interest, ethical approvals, data availability statements, or acknowledgements required for the work have been disclosed.  The authors agree to the journal copyright notice and publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).  

Privacy Statement

The Journal of Cyber-Physical-Social Intelligence (JCPSI) collects and uses personal information only for the purposes of operating the journal, managing submissions, conducting peer review, publishing scholarly content, and communicating with users.

Information we collect

  • Account information, including name, email address, affiliation, country, ORCID iD, username, and role information.
  • Submission information, including manuscript files, metadata, author and contributor details, correspondence, review files, editorial decisions, and production files.
  • Communication records related to submissions, peer review, editorial management, publication, and user support.
  • Basic website and usage data generated by the Open Journal Systems platform for security, troubleshooting, and aggregate reporting.

How we use information

Personal information is used to identify authors, reviewers, editors, and readers; manage the editorial and peer review process; publish accepted articles; issue notifications; support indexing and archiving; and maintain the security and integrity of the journal platform.

Confidentiality

Submission files, reviewer identities, review reports, editorial correspondence, and unpublished manuscript information are treated as confidential and are accessible only to authorized users involved in journal management, peer review, production, or technical support.

Sharing and disclosure

JCPSI does not sell personal information. Information may be shared only when necessary for journal operations, such as with editors, reviewers, production staff, indexing and preservation services, DOI registration agencies, platform service providers, or when required by law or publication ethics procedures.

Published information

For accepted articles, author names, affiliations, ORCID iDs when provided, article metadata, abstracts, references, funding information, and published files may be made publicly available as part of the scholarly record.

Data retention

Records related to submissions, reviews, editorial decisions, and publications may be retained to preserve the scholarly record, support editorial accountability, and comply with publication ethics obligations.

User rights and contact

Users may contact the editorial office to request correction or removal of personal information where appropriate, subject to the need to preserve accurate editorial and publication records. Questions about this privacy statement may be sent to pub@agist.org.