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”.
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.
📅 Date: 2 July 2024
🕘 Time: 7pm
🏢 Where: EC4R 3AD
Help us design the next phase of Harmony and win up to £300 in vouchers! Search and Results UX/UI Challenge Harmony is a platform for researchers to help them discover and compare complex meta-data across different academic studies. The project is a collaboration between University College London (UCL), The University of Ulster, and Fast Data Science and has been funded by the Economic and Social Research Council (ESRC) and by Wellcome as part of the Wellcome Data Prize in Mental Health.
It’s all over! The Matching Challenge is now officially closed. Thank you to everyone who took part. The wait is over! We have now closed the Matching Challenge which was hosted on DOXA AI. Over the course of the competition we saw a total of 26 participants with 14 finalists making it onto the scoreboard. The final days were tense with many participants improving on their scores, submitting different methods and swapping places at the top of the scoreboard.
