psychology

Harmony at MethodsCon: Futures in Manchester

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Harmony at MethodsCon: Futures in Manchester

MethodsCon in Manchester

We will be at MethodsCon: Futures in Manchester, run by the National Centre for Research Methods on 11 and 12 September 2024 to present Harmony, the NLP and AI tool we have been developing for researchers in social science, funded by Wellcome and the Economic and Social Research Council. The events take place at The Edwardian Manchester.

Methods Showcase – 11th September

The first event is a workshop on 11 September:

15:30-15:45 Spotlight 14: Harmony: a Natural Processing Approach to Data Discoverability and Harmonisation

See the full programme here

MethodsCon: Futures 12-13th September

We will be presenting in the workshop: FDS 3 and Corpus-assisted discourse studies on 12 September, with events titled:

A.) Harmony: A natural language processing approach to data discovery and harmonisation.

B.) Corpus-assisted discourse studies: An introduction to a mixed methodology.

Related Posts

Harmony’s research has been published in BMC Psychiatry!

Harmony’s research has been published in BMC Psychiatry!

BMC Psychiatry has published our paper validating Harmony on real-world data We are pleased to announce the publication of a paper validating Harmony on real-life data: Using natural language processing to facilitate the harmonisation of mental health questionnaires: a validation study using real-world data, authored by Eoin McElroy, Thomas Wood, Raymond Bond, Maurice Mulvenna, Mark Shevlin, George B. Ploubidis, Mauricio Scopel Hoffmann and Bettina Moltrecht, and published in BMC Psychiatry.

Integrating with Harmony

Integrating with Harmony

Sending data from another website to Harmony using Javascript We have exposed functionality for external websites to integrate with Harmony and add an “import to Harmony” button, either generated in Javascript or in Python. Create an Instrument object with at least an instrument_name and questions property in JSON - the questions must have a question_no and question_text properties eg: { "instrument_name": "Smoking behaviour", "questions": [ { "question_no": "1", "question_text": "Do you currently smoke or have you ever smoked?

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