Harmony at GenAI and LLMs night at Google London

Harmony at GenAI and LLMs night at Google London on 10 December 2024

Above: video of the AICamp meetup in London on 10 December 2024. Harmony starts at 40:00 - the first talk is by Connor Leahy of Conjecture

We have presented the AI tool Harmony at the GenAI and LLMs night at Google London on 10th December organised by AI Camp at Google Cloud Startup Hub.

AI Camp and Google hosted two deep dive tech talks on AI, GenAI, LLMs and machine learning, with food/drink, networking with speakers and fellow developers.

Topic	Harmony, Open source AI tool for psychology research
Speakers	Thomas Wood (Fast Data Science), Dr Bettina Moltrecht (UCL)
Date	10th December 2024
Time	6pm UK time
Location	Google Cloud Startup Hub, 4-5 Bonhill St., London
Abstract	In this talk, Thomas Wood and Bettina Moltrecht discuss using generative AI and LLMs to help researchers discover datasets and compare items in questionnaires such as GAD-7 (used to measure anxiety), even when they are written in different languages.

Download the slides

Slide deck from AI and LLMs night at the Google Campus on 10 December 2024

Thomas Wood and Bettina Moltrecht presenting Harmony at AICamp at Google Startup Hub on 10 December 2024

The other talk in the evening was by Connor Leahy of Conjecture, titled “Cognitive Software and the (near) Future of AI”.

See other Harmony events

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.
17 August 2023: Harmony and TIDAL workshop

Improving Harmony's PDF extraction with user testing

Since we built Harmony, a common complaint has been that it frequently identifies the wrong questions in PDFs. The original algorithm for finding questions in PDFs was a mixture of rule based heuristics and some hand coded logic to look for e.g. lines in the document which begin with numbers. This was very fragile and worked fine on short questionnaires such as the GAD-7, but failed on larger documents. We decided to run a competition with our partner DOXA AI where members of the public could train their own model to extract questions from PDFs.

Harmony at MQ and DataMind Data Science Workshop

Harmony at MQ and Datamind Data Science workshop On 2 May 2025, Dr Eoin McElroy demonstrated Harmony at the MQ and Datamind Data Science workshop in Deutsche Bank. Eoin’s presentation focused on “Maximising the use of existing survey data: facilitating cross-study research using retrospective harmonization.” The workshop brought together researchers interested in applying novel harmonisation techniques to existing datasets. Eoin explained traditional harmonisation processes and presented a user-friendly guide to the Harmony tool, demonstrating how natural language processing can streamline the harmonisation process.