We invite innovative and creative contributions, including papers that outline new formal approaches to provenance, explore innovative uses of provenance, provide experience-based insights, and present visionary ideas. ProvenanceWeek continues the tradition of fostering a genuine workshop environment where participants can discuss and develop new ideas, as well as explore connections between different disciplines and academic research on provenance alongside practical applications. We strive to support diverse conversations from all fields, bringing together researchers from a wide range of computer science domains, such as workflows, databases, high-performance computing, distributed systems, operating systems, programming languages, and software engineering, all of which have significant provenance needs.
Topics of interest include, but are not limited to:
- Trust, transparency, and accountability
- Provenance for attribution and trustworthy systems
- Provenance for accountability and transparency
- Provenance-based audit and forensics
- Security and privacy implications of provenance
- Analysis of provenance
- Analytics, querying, and reasoning about provenance
- Provenance visualization, and human interaction with provenance
- Storage and efficiency of provenance capture
- Design, performance and scalability of provenance systems
- Provenance for big data and extreme computing
- Provenance management system prototypes and commercial solutions
- Standardization of provenance models, services, and representations
- Provenance of workflows and annotations
- Provenance and data quality
- Data sharing and data citation
- Theoretical foundations of provenance
- Provenance, social media, and the semantic web
- Applicability of provenance
- Applications of provenance in real-life settings
- Connections between provenance and established topics in other research fields (programming languages, security, software engineering, fairness, etc.)