10th edition of the Junior Conference on Data Science and Engineering (JDSE) 2025

The 10th edition of the Junior Conference on Data Science and Engineering (JDSE) will take place on September 25–26, 2025. This event is a unique opportunity for Master’s students (M2) and first- or second-year PhD students from Université Paris-Saclay and Institut Polytechnique de Paris to present their work in a supportive and stimulating environment.
JDSE offers:
-
A platform to present your research (including ongoing or preliminary work);
-
Constructive feedback from researchers;
-
Invited talks by academic and industry experts;
-
A chance to develop scientific communication skills and grow your network.
Topics of interest include (but are not limited to)
- Applied Machine Learning and Deep Learning (NLP, Computer Vision, Bioinformatics, Audio Processing, etc.)
- Theoretical Machine Learning (Statistics, Learning Theory, Optimization, etc.)
- Data Mining and Big Data Analytics
- Databases
- Semantic Web
- Applications in Bioinformatics, Computer Vision, Signal Processing, etc.
- Data Privacy and Personal Data Protection
Important Dates
Submission deadline: August 24, 2025
Notification to authors: September 12, 2025
Registration deadline: September 19, 2025
Conference: September 25–26, 2025
Submission Format
An extended abstract of 1 to 3 pages (in Springer LNCS format), written in English, describing the context, problem, approach, and contribution. Preliminary submissions are welcome, especially from Master’s students. Please note that submitting your paper on the OpenReview platform requires prior registration. If you use a non-institutional email address (e.g., Gmail, Yahoo, etc.), account approval may take several days. We therefore recommend registering in advance.
Submission link: https://openreview.net/group?id=JDSE/2025/Conference
The scientific program committee will review the submitted extended abstracts and will select a subset for oral presentations (in English) and others for poster presentations. Please note that selected abstracts will not be published in any conference proceedings.