Above: video of Thomas Wood presenting Harmony at the Pydata on 27 March 2024
Update: you can download the slides from the presentation here
Link to the meet up: Meetup.com.
I will present our work on Harmony, harmonydata.ac.uk, which is a free online AI research tool that uses generative AI and LLMs to help psychologists analyse datasets. It uses Python, Pandas and HuggingFace Sentence Transformers to find similarities between questionnaires.
Psychologists and social scientists often have to match items in different questionnaires, such as “I often feel anxious” and “Feeling nervous, anxious or afraid”.
This is called harmonisation.
Harmonisation is a time consuming and subjective process. Going through long PDFs of questionnaires and putting the questions into Excel is no fun.
We’ve been working on an open source Python library and free web tool called Harmony which uses natural language processing and generative AI models to help researchers harmonise questionnaire items, even in different languages.
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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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