3rd Data EConomy Workshop

And finally, the 3rd edition of the Data EConomy workshop took place on September 5th, co-located with the prestigious VLDB Conference. I had the honour of co chairing the half-day event with Prof. George Konstantinidis, and we enjoyed a great time at the Queen Elizabeth II Centre (QEII Centre) in London.

Prof. Paul Groth gave a fantastic keynote talk about entrepreneuring AI-based companies, and shared his experience as co-founder and CTO of longform.ai. We listened to presentations dealing with models to improve the negotiation of data transactions to better balance the value provided to data providers and consumers, new marketplace visions to realise AI-based marketplaces capable of orchestrating complex processing pipelines, and the application of LLMs to automate data profiling and improve dataset search. Thanks to Jaime Osvaldo Salas, Hajar Baghcheband, Yizhou Ma, and Shanshan Jiang for their interesting presentations.

I presented our work, titled «An Interpretable Market-based Data Price Prediction Tool», which outlines its architecture and key technical insights. The data pricing tool provides a market-based price reference for datasets using only their metadata, and aims to facilitate price agreements between data sellers and data consumers. Thanks to Alicia Cabrero Jiménez, who contributed to improving regression models during her Master’s thesis. The proceedings are accessible at the VLDB website.

This was the third edition of the workshop. Previous editions took place in Seattle (2023) and Rome (2022), attached to SIGMOD/PODS and CoNext conferences.