Publications
What members of the lab have published, across the research themes and within the projects that fund the work.
01 Publications
Peer-reviewed papers
Peer-reviewed publications, grouped by the kind of contribution and tagged with the kind of venue, the venue, and the project that funded them. Every entry links its DOI.
Type Journal Conference Workshop
Venue EDBT 2025
Project ARMADA DataGEMS
Vision and position papers
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Towards Reliable Conversational Data Analytics
. Proceedings of the 28th International Conference on Extending Database Technology, EDBT 2025, . doi:10.48786/edbt.2025.78
02 Pledge
A pledge to open science
Every result we publish is peer reviewed, readable without payment, reproducible from open code and FAIR data, and written and checked by people.
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Peer reviewed, and readable by anyone
Every entry has been through review and carries a DOI that resolves. We prefer venues that let the accepted version be read without payment, and where a venue does not, we deposit the accepted manuscript or preprint so the work stays reachable. A result nobody can reach is a result nobody can check.
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FAIR data, open code, reproducible results
Software and datasets are published where the project that produced them keeps them, following the FAIR principles, and each project record links its own repository. A reported result must be reproducible on fixed, inspectable software: we do not report the output of a system whose workings we cannot examine or rerun identically.
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Written and checked by people
We use automated tools where they help, and we remain responsible and accountable for every result that carries our names. What those tools may and may not contribute to the work is set out in our statement on AI and scientific research.