Abstract Submission
The organizing committee is pleased welcome abstracts from all areas of Data Science, including, but not limited to, the following conference tracks:
- Agentic AI in Practice
- Applications of Gen AI
- Accountable Autonomous Systems
- Sustainable Innovation with AI
- Computer Vision
- Safe and Secure LLMs
- Applications in Machine Learning & Deep Learning
- Ensemble Learning with Statistics & AI
Author Guidelines
- Authors are encouraged to submit original research contributions in relevant fields. All abstracts should be written in English.
- All abstracts must be submitted electronically via the Microsoft Conference Management Toolkit (CMT).
- All submissions will be double-blind reviewed by the Program Committee based on technical quality, relevance to the conference tracks, originality, significance, and clarity.
- At least one author from each accepted paper must attend the conference to present the abstract. However, under exceptional circumstances, requests for virtual presentation may be considered upon formal request.
- The list of authors at the time of submission is final and cannot be changed.
- At least one author from each accepted paper must attend the conference to present the abstract.
- Accepted abstracts will be published in the conference proceedings
Submission Guidelines
- Abstracts should be no longer than 300 words and must be accompanied by an Extended Abstract for review purposes.
- Do not include author names, affiliations, or other identifying information in the abstract or extended abstract. Submissions containing such information will be desk-rejected.
- For more information and instructions on abstract preparation, refer to ICDS 2025 Abstract Submission Guidelines.
Where to Submit
All abstracts must be submitted electronically through the Microsoft Conference Management Toolkit (CMT).
How to Submit
You will need to have a CMT account before you submit your Abstract.
Here is a link to create the account:
Here is a link for authors on how to submit a paper:
CMT Acknowledgment
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.