Following formal notification of final scientific acceptance, the official payment instructions and payment link are sent to the corresponding author through the journal’s official communication channel. Payment must be completed within a maximum of three days, and an image of the payment receipt must be uploaded to the designated section of the journal system.
If the author withdraws the article after payment, the amount already paid is non-refundable.
Civil & Project Journal considers scientific and applied research in civil engineering, construction management, project management, and interdisciplinary fields related to projects, construction, infrastructure, and the built environment.
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The Commitment and Competing-Interest Declaration Form must be completed and signed by the corresponding author and uploaded through the journal system together with the required manuscript files. The form is used to confirm the originality of the work, author responsibility, and the status of competing interests.
An incomplete or missing form may result in the manuscript file being returned for completion before the article enters scientific peer review.
The form is available through the Guide for Authors .
If an actual or potential competing interest exists, the authors should not use the statement above and must instead disclose the nature of the competing interest clearly and accurately.
The use of generative artificial intelligence or other automated tools does not reduce the scholarly responsibility of the authors. An AI tool cannot be listed as an author or co-author, and generative AI must not be cited as a scholarly source.
Material use of generative AI in preparing a manuscript, beyond straightforward language correction, editing, or formatting, must be disclosed transparently. Authors are responsible for checking and validating all AI-assisted output, including its accuracy, originality, citations, data, analyses, and compliance with third-party rights. Full responsibility for the final manuscript remains with the human authors.
Reviewers and editors must not upload confidential manuscript files or confidential peer-review information to public generative-AI tools, nor delegate the preparation of scientific assessments or peer-review decisions to generative AI.