Catamaran Resort, San Diego, CA
The Data Readiness for AI (DRAI) workshop will feature contributed papers and invited speakers to discuss and shape the state-of-art of this cross-cutting topic. Topics of interest include (but are not limited to):
Efficient Data Quality Improvement (Semi-/Automatic Methods)
Quantifiable Metrics for AI Data Readiness
Frameworks and Tools for Assessing & Automating Data Readiness
Frameworks for Data Readiness Improvement
Distributed and Parallel Algorithms for AI Data Processing (HPC Intersection)
Scalability of AI Readiness Solutions
Creation and usage of AI-ready benchmark datasets
Novel Approaches for Handling Massive Datasets
Real-World Use Case Assessments of Data Readiness Impact on AI Performance
Data Readiness in Integrated Scientific Pipelines: Use Cases, Challenges, Needs
Role of FAIR principles in AI readiness of data
Ethical and Comprehensive Data Collection
Collection of balanced data and the characterization of biases
AI Algorithms for Non-AI-Ready Scientific Data
Social Impacts of Data in AI Applications
Data Governance: Metrics, Methods, and Use Cases (Security, Privacy, Management)
The importance of provenance and contextual information, e.g., as captured in datasheets
Transparency and ethics related to AI readiness
AI readiness of multi-modal scientific data and streaming data
Submissions, reviews, and communications with authors will be handled through Linklings. Submitted manuscripts should be structured as Regular technical papers. They may not exceed 6 (six) single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (ACM conference style), including figures, tables, and references.
DRAI will also accept Work in Progress (WIP) submissions for short presentations on ongoing work that may not yet be ready for a full paper submission. WIP papers will not be included in the proceedings. They may not exceed 2 (two) single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (ACM conference style), including figures, tables, and references.
All manuscripts will be reviewed and judged on correctness, originality, technical strength, significance, quality of presentation, and relevance to the workshop attendees. Submitted papers must represent original, unpublished research not currently under review for any other conference or journal. Papers determined to be under active review elsewhere will be rejected.
DRAI is single-blind reviewed; authors must include their names and affiliations on the first page. All authors should respect ACM Policy on Authorship and use of generative AI tools and technologies (details on the policy are available at ACM Policy on Authorship).
Submissions received after the due date, exceeding the length limit, or not appropriately structured may also not be considered.
Submission Deadline June 15, 2025 June 30, 2025
Notification of Acceptance July 1, 2025 July 10, 2025 July 23, 2025
Camera-ready Deadline July 15, 2025 July 28, 2025
DRAI 2025 | Data Readiness for AI (DRAI) Workshop | Bez, Byna