Harmony News

Here is the news from the Harmony project

Harmony Data Discovery

Harmony Data Discovery

New Feature in Development: Enhancing Harmony with User-Centred Discovery At Harmony, we’re working on a new feature aimed at making data discovery and exploration - through the use of meta-data - even more efficient and intuitive To ensure this feature addresses real needs, we’re conducting co-design sessions with researchers, data-managers and other users, allowing us to develop a tool that solves real-life user requirements. The Co-Design Approach: Co-design allows us to build this feature with direct input from those who will use it most.
Easy issues to get started on in Harmony: Python and R

Easy issues to get started on in Harmony: Python and R

We have a few more issues that have been added to the issue trackers. If you are new and would like to make a pull request in either the Python or R libraries feel free to pick these up - they should be quite small. Easy issues in Python library We would like to expose the “between instrument matches” and the “negation” switches in the Python library and then from the API side.
Competition to train a Large Language Model for Harmony on DOXA AI

Competition to train a Large Language Model for Harmony on DOXA AI

Harmony on DOXA AI: Train your own Large Language Model and win up to £500 in vouchers! Join a competition to train a Large Language Model for mental health data. You don’t need to have trained a Large Language Model before. Register on DOXA AI Enter the competition on DOXA AI by fine tuning your own large language model and improve Harmony! Join our Discord Join the Harmony Discord server. Check out the 🏅「matching-challenge」 channel!
Harmony at Women In Data™️

Harmony at Women In Data™️

Harmony at Women In Data™️ London Chapter (online event) On 22 November, we will present Harmony at Women In Data™️ London Chapter’s event on Application of Generative AI and LLMs. Thomas Wood will demonstrate Harmony and how it uses Gen AI. The event will be livestreamed. ⏲️ 25 minutes talk + 10 minutes Q&A 📅 Date: November 22nd 2024, 6:15 pm 📝 RSVP See also our past events 22 November 2024: Harmony at Women In Data™️ London Chapter 30 October 2024: Onboarding webinar for DOXA AI competition 8 October 2024: Harmony: a free online tool using LLMs for research in psychology and social sciences at AI|DL London 11 and 12 September 2024: Harmony at MethodsCon Futures in Manchester 2 July 2024: Harmony: NLP and generative models for psychology research at Pydata London 3 June 2024: Harmony Hackathon at UCL 5 May 2024: Harmony: A global platform for harmonisation, translation and cooperation in mental health at Melbourne Children’s LifeCourse Initiative seminar series.
Harmony at AI|DL meetup

Harmony at AI|DL meetup

Tech Talk at the AI|DL AI Meetup (London) Artificial Intelligence and Deep Learning for Enterprise Thomas Wood presents the Harmony project at the 19th AI and Deep Learning for Enterprise meetup on 8 October 2024. In case you missed the talk about Harmony on Tuesday at Civo Tech Junction with AI and Deep Learning for Enterprise sponsored by Daemon, you can now watch the recording of the live stream on AI|DL’s channel.
Harmony in the spotlight: Sense about Science recognises need for responsible AI in research

Harmony in the spotlight: Sense about Science recognises need for responsible AI in research

How are research funders reacting to the AI governance vacuum? A recent article by Sense about Science, a leading independent charity that promotes the public interest in sound science and evidence, highlights the growing need for responsible AI governance in research. The article, titled Research funders tackle AI governance vacuum with pragmatic guidance, discusses the alarming gap between the rapid development and adoption of AI tools, and the lack of clear frameworks for their safe and ethical use.
Harmony at MethodsCon: Futures in Manchester

Harmony at MethodsCon: Futures in Manchester

MethodsCon in Manchester We have attended 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 took place at The Edwardian Manchester. Methods Showcase – 11th September The first event was a workshop on 11 September:
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?
Pydata on 2 July

Pydata on 2 July

Harmony at PyData London - 86th Meetup Update: you can download the slides from the presentation here Topic: NLP and generative models for psychology research Thomas Wood will present our work on Harmony, harmonydata.ac.uk, which is a free online 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”.

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