October 22nd, 2023 at IEEE VIS in Melbourne, Australia
Our ambition is to build this into a series of workshops, targeting a different research community outside visualization each year, and eventually create a provenance research network that connects all the relevant communities.
For this year, we will target the database community, which is one of the first communities to formalize provenance research, providing the theoretical foundations such as the widely adopted W3C PROV specifications. Recently provenance and visualization have been adopted to address core database challenges such as query, workflow, and dependency. There is a clear need to build closer connections between the two communities. The workshop’s main goals are:
- To establish and improve the collaboration between the visualization and database community on provenance-related research through a discussion of challenges that span both communities;
- To further advance data provenance research within the database community to address the latest challenges, such as support for big data management, data processing, data sharing, or query optimization supported by provenance;
- To further advance analytic provenance research within the visualization community to address the latest challenges, such as support for machine learning and visualization reproducibility.
Human-AI Collaboration 