CfP: Seventh Data Science Meets Optimization (DSO) Workshop at ECML-PKDD 2025
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Yingqian Zhang
Jun 17, 2025, 4:15:44 AMJun 17
to Constraints
Dear colleagues,
We are pleased to invite submissions to the Seventh Data Science Meets Optimization (DSO) Workshop, which will be held in conjunction with ECML-PKDD 2025 in Porto, Portugal on September 19, 2025.
Submission Deadline: June 28, 2025
https://sites.google.com/view/dso-workshopecml-pkdd-2025
This interdisciplinary workshop brings together researchers and practitioners at the intersection of machine learning, optimization, and real-world decision-making. Topics of interest include, and are not limited to:
- Machine learning for combinatorial optimization
- Optimization techniques for developing (trustworthy) machine learning models
- Reinforcement learning and black-box optimization
- Responsible and robust decision-making under uncertainty with data
- LLM-guided optimization
- Data-driven real-world decision-making applications and case studies
We welcome full research papers, short papers, and extended abstracts (see website for details). Submissions will be peer-reviewed and selected for presentation at the workshop and will be invited to a special issue of a journal.
We look forward to your contributions and to seeing you in Porto!
Best,
Yingqian
We are pleased to invite submissions to the Seventh Data Science Meets Optimization (DSO) Workshop, which will be held in conjunction with ECML-PKDD 2025 in Porto, Portugal on September 19, 2025.
Submission Deadline: June 28, 2025
https://sites.google.com/view/dso-workshopecml-pkdd-2025
This interdisciplinary workshop brings together researchers and practitioners at the intersection of machine learning, optimization, and real-world decision-making. Topics of interest include, and are not limited to:
- Machine learning for combinatorial optimization
- Optimization techniques for developing (trustworthy) machine learning models
- Reinforcement learning and black-box optimization
- Responsible and robust decision-making under uncertainty with data
- LLM-guided optimization
- Data-driven real-world decision-making applications and case studies
We welcome full research papers, short papers, and extended abstracts (see website for details). Submissions will be peer-reviewed and selected for presentation at the workshop and will be invited to a special issue of a journal.
We look forward to your contributions and to seeing you in Porto!
Best,
Yingqian
TU/e
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