Find out how AI and natural language processing are being used in mental health research and other areas of social sciences research.
Here’s a series of interviews with the Wellcome Trust about the Mental Health Data Prize. Members of the three winning teams are discussing the prize and the transformative potential of data in mental health science. Thomas Wood at Fast Data Science talks about the Harmony project, funded by the Wellcome Trust and now by ESRC: Economic and Social Research Council.
Harmonise questionnaire items
Harmony’s team consists of Bettina Moltrecht at UCL, Eoin McElroy at Ulster University, Thomas Wood at Fast Data Science, Mauricio Scopel Hoffman at Universidade Federal de Santa Maria, John Rogers at Delosis, and Rachel Holland Gomes.
You may want to take a look at our paper recently published in BMC Psychiatry:
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Many companies and organisations have large datasets that are stored in a very unstructured format. For example, you could work for a US based healthcare provider or insurer and have patient records stored in a free text format such as HL7 files or PDFs. A building regulator, land registry, or mortgage provider may have texts and accompanying diagrams from thousands of building inspections or land title deeds. A patent attorney’s office may have records of patent applications in PDF format.
On 20 May, I attended the Expert Witness Conference in Dublin, Ireland, organised by La Touche Training. It was an eye opening event with a mixture of lawyers and expert witnesses in different fields from Ireland and abroad. The event was chaired by Mr Justice Michael Peart, with a keynote address by the Honourable Mr Justice David Barniville, President of the High Court of Ireland.
Fast Data Science at Ireland’s Expert Witness Conference on 20 May 2026 in Dublin Links to guidance on legal AI issued by legal authorities and other organisations Official guidance UK: Artificial Intelligence (AI) Guidance for Judicial Office Holders, 31 October 2025. https://www.judiciary.uk/wp-content/uploads/2025/10/Artificial-Intelligence-AI-Guidance-for-Judicial-Office-Holders-2.pdf
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