We are excited to introduce the new Harmony Meta platform, which we have developed over the past year. Harmony Meta connects many of the existing study catalogues and registers.
If you want to search for longitudinal studies that measured a particular variable such as “psychosis in adolescence” and you don’t know the exact wording that was used by the researchers, you can now use the AI search on Harmony Meta.
Try it here: https://harmonydata.ac.uk/search
Other examples of things you can search for
All of these will turn up studies that measured these values or approximate synonyms. If the researchers asked a question such as “difficulty reading”, your search for “dyslexia” will find it.
We have 5.5 million variables indexed. As far as I can tell, this is every large longitudinal study run in the UK ever, including well known studies such as the Millennium Cohort Study, the 1970 British Cohort Study, and Born in Bradford.
Harmony Meta works with a vector index so all 5.5 million variables are converted to vectors using a large language model.
Investigators on this project were Bettina Moltrecht and Eoin McElroy. Rachel Holland Gomes worked on the UI, John Rogers on the front end, Thomas Wood (Fast Data Science) on the back end, with Jay Dugad working on community management.
Harmony Meta was funded by ESRC, the Economic and Social Research Council. We would like to acknowledge partners Population Research UK (PRUK), UCL Centre for Longitudinal Studies, DATAMIND UK, The Alan Turing Institute, National Centre for Research Methods, UK Research and Innovation, Wellcome Trust, National Centre for Social Research, and Social Finance.
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Why are product returns a problem? Large businesses like Amazon can swallow the cost of product returns, and generally account for it, but if you’re running a small business a single return can be very expensive. However, product returns can be a major problem for small and large businesses and it is helpful to identify when this is likely to occur.
Fast Data Science Ltd’s flagship AI platform, the Clinical Trial Risk Tool, has been accepted as a supplier on the UK Government’s G-Cloud 15 framework.
We are pleased to announce that Thomas Wood, director of Fast Data Science, will be appearing as a panelist at the Bond Solon Expert Witness Conference on 6 November 2026 at Church House, Westminster in London. This follows Thomas’s recent appearance at the Ireland’s Expert Witness Conference on 20 May 2026.
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