1. Long papers are appropriate for substantial, completed and previously unpublished research; reports on developing significant new methodologies or digital resources; and/or rigorous theoretical, speculative or critical discussions.
2. The standard structure of the paper shall at least consist of introduction, literature review/theoretical framework, methodology, finding/discussion/analysis, and conclusion.
3. The minimum word count is 8.500 words (including title, abstract, keywords, main article, and references). For final publication, the author will be invited to adjust the length and format in accordance with the appointed publication outlet.
4. The conference must be attended by at least one of the authors either virtually or in-person (For BINUSIAN in Jakarta, attending in-person will be compulsory). Long paper presentations last between 15-20 minutes.
5. Authors are required to use English in their papers. In addition, all articles should be submitted along with the result of plagiarism/similarity check (e.g. Turnitin AI). Please note that the Turnitin assessment requires a maximum Similarity Index of 20% or a maximum AI detection score of 40%.
6. Paper must be submitted as Docs/PDF file labeled as Title.docx or Title.pdf and all identifying information (name, and affiliation) should be redacted from the paper. *PDF file submission must include word count.
7. CoDHES Paper Template
8. CoDHES Paper Submission

Guideline for Turnitin Check
Our policy sets a maximum Similarity Index of 20% and a maximum AI detection score of 40%. The use of content generated by artificial intelligence (AI) in a paper, including but not limited to text, figures, images, and code, must be disclosed in the acknowledgements section and/or methodology section of the submitted paper. The AI system used must be identified, and any sections containing AI-generated content must be clearly indicated and accompanied by a brief explanation of the extent to which the AI system was used. The use of AI tools for editing and grammar enhancement is considered common practice and is generally outside the scope of this policy. However, disclosure of such use is still recommended.

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.