Call for Papers
Important Dates
- Paper Submission will start:
- April 7, 2025
- Paper Submission Deadline:
- June 21, 2025
- Notification of acceptance:
- July 5, 2025
- Deadline for author / early registrations:
- July 26, 2025
- Conference:
- August 30 - September 2, 2025
- Deadline for cameraready:
- September 16, 2025
- Proceedings publishing:
- September 30, 2025 (estimated)
General Information
IAR is the unique conference for researchers, industry professionals, and academics using ICT.
More specifically, it will address challenges with ICT Application Research and all category of research using ICT.
The conference is organized by IIARS.
The conference will include plenary sessions, technical paper sessions, and invited industrial/ special sessions.
Accepted technical papers will be published in "Proceedings of the International Conference on ICT Application Research" with an assigned ISSN number and each publishing paper will be given an unique DOI.
You are invited to submit papers in all areas for ICT research.
We solicit research, experience papers, research-in-progress, and practitioner reports in any of the technical areas listed under Scope & Topics. Areas of interest include, but are not limited to:
- ICT Application Research
- Art and ICT
- History and ICT
- Archaeology and ICT
- Linguistics and ICT
- literature and ICT
- Humanities and ICT
- Economics and ICT
- Geography and ICT
- Management and ICT
- Political Science and ICT
- Psychology and ICT
- Sociology and ICT
- Social Science and ICT
- Biology and ICT
- Chemistry and ICT
- Astronomy and ICT
- Physics and ICT
- Natural Science and ICT
- Informatics and ICT
- Mathematics and ICT
- Formal Science and ICT
- Agriculture and ICT
- Architecture, design, and ICT
- Commerce and ICT
- Computer Science and ICT
- Business and ICT
- Education and ICT
- Engineering and ICT
- Library Science and ICT
- Medicine, health, and ICT
- Medical Science and ICT
- Game and ICT
- Applied Science and ICT
Submission Instructions
Please read the instructions below before submitting the paper at the submission page.
Don't hesitate to contact the PC chair at iar2025[_a_t_]iiiar.org for any submission questions.
Formatting and templates
Technical papers submitted for IAR are to be written in English.
Papers must be in MS Word and PDF format and at the following pages, including references and appendices.
Please note that your paper may be notified as a different type of paper. For example, your paper may be notified as a short paper even if you have submitted your paper as a full paper.
- Full Paper: 4 - 6 pages
- Short Paper: 2 - 4 pages
- Poster: 1 - 2 pages
Authors should prepare the submissions using the following IAR conference template only.
All fonts, images, tables, and figures have to comply with common standards and not generate problems for reviewers.
The type of your MS Word file is allowed ".doc" or ".docx".
Submissions not meeting the formatting requirements risk rejection without consideration of their merits.
Proceedings Publication
Accepted papers will be recorded in "Proceedings of the International Conference on ICT Application Research"..
Each publishing paper will be given a unique DOI.
Journal Publication
Extended versions of selected papers will be invited for "International Journal of ICT Application Research".
Each publishing paper will be given a unique DOI.
This journal will be published in February and April every year.
Conflicts of Interest (COI)
When submitting the paper, authors must declare the conflict of interest (COI) with the Program Committee members, including the chairs.
Those who are considered COI include:
- Anyone who shares an institutional affiliation with an author of the paper at the time of submission.
- Anyone who was the advisor or advisee of an author at any time in the past.
- Anyone the author has collaborated with or published within the prior two years.
PC members, including chairs with a conflict of interest with a paper, will be entirely excluded from the evaluation of that paper.
Please declare COI or declare fake COI to avoid the paper being rejected.
If a PC member with COI reviews a paper, it will be rejected.
Early Rejection and resubmitting
Program Committee will start the review of your paper after you have submitted your paper.
Papers that receive substantially negative initial reviews will be rejected early.
The authors of early-rejected papers will receive a copy of their initial reviews.
The authors have been able to resubmit the updated paper again until the deadline for submission.
No-show policy
The paper may be excluded from conference proceedings if the presentation is not made at the conference.
No-show papers are not recommended in post-conference publications, and IIARS congress does not receive the papers submitted by past no-show authors.
Accepted Special Session
Expanding the Role of Data Science in Social Inclusion:
Insights from Non-STEM Students in Japan
Data science has emerged as a pivotal tool for addressing social challenges, including financial inclusion, healthcare accessibility, and disability advocacy. However, its potential in promoting social inclusion remains underexplored, particularly among non-STEM students. This special session presents insights from a study conducted at Rissho University in Japan, exploring how non-STEM students perceive and aspire to use data science for social impact
The study surveyed 168 non-STEM students, including 134 freshmen, who attended a lecture titled "Where is Data Science Used?—Inclusion through Data Science" in November 2024. Among them, 89 were sports-strengthening club students, and 79 were regular students. The lecture examined successful applications of data science in finance, social welfare, public health, and international development, emphasizing its established role in finance and its emerging potential in social welfare and global initiatives.
To assess students' comprehension and interests, machine learning and text mining techniques were employed to analyze Likert-scale responses to six quantitative questions, as well as qualitative open-ended feedback to six additional questions. Methods such as the Ward method and K-means clustering were applied. Key findings include:
- Predictive Modeling for Student Engagement: Regular students exhibited a stronger interest and deeper understanding of the lecture's content compared to sports students.
- Sentiment and Topic Analysis of Perceptions: While sports students showed less understanding of theoretical concepts, they presented practical ideas for actionable applications and career paths.
- Bridging the Gap Between Theory and Practice: While sports students faced challenges with conceptual learning, they demonstrated clearer ideas for applying data science in practical contexts.
These findings suggest a potential unconscious bias that sports students may be perceived as less academically inclined, which could affect their engagement with learning. However, their feedback indicates a robust ability to connect data science to career opportunities, sometimes even surpassing regular students in generating practical application ideas.
By challenging assumptions about student capabilities, this session will explore how interdisciplinary education can better integrate data science to address social issues. Discussions will focus on developing curricula that inspire non-STEM students to apply data science skills to real-world challenges. Moreover, the study applied methodologies such as machine learning and text mining, which are not yet widely used in social science, demonstrating the potential of data-driven approaches to enhance social welfare, education, and effectiveness in resolving social issues.
Through the session, we aim to foster discussions on expanding career pathways for non-STEM students and enhancing data science’s role in creating equitable societal solutions.