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.
The final scoreboard:
..and the winners are…
1st Place 🏅
José Inés Martínez Berard ‘End’ @oreug, with an impressive MAE (mean absolute error) of 20.348
Prize: £500 in Amazon Vouchers
Congratulations! look out for an email from us with your prize
2nd Place 🥈
Rafi Ahmed Riyaz Ahmed Patel @rafa, with a very close 2nd place MAE of 20.544
Prize: £250 in Amazon Vouchers
Well done 👏👏👏 your prize will be emailed to you soon
A big thank you to everyone else that took part in the competition, if you weren’t successful this time round, fear not, as our next competition is already open and the prizes are even BIGGER!
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.
Tech Talk: Building AI for Good - Showcase & Meetup at Newspeak House on 23 January 2025 We will present the open source AI tool Harmony at the second Building AI for Good - Showcase & Meetup on 23 January 2025 organised by Newspeak House. * 18:30 - Doors Open 19:00 - 19:20: Thomas Wood (Fast Data Science) and Bettina Moltrecht on supporting psychologists with Harmony. We will discuss using generative AI and LLMs to help researchers discover datasets and compare items in mental health questionnaires, even when they are written in different languages.
