
Fast Data Science is excited to be partnering with UK Data Service to deliver a practical workshop on how to best use Harmony for analysing data in the social sciences.
The session will take place online on 29 November.
With live demonstrations of Harmony tool and library’s key functionalities, participants will leave with a clear understanding of how this tool can improve their data management processes which will help improve the efficiency and accuracy of longitudinal data analysis. Sign up for the session.
The session will be presented by Harmony project leaders: Bettina Moltrecht, PhD from the Centre for Longitudinal Studies at UCL, Eoin McElroy from Ulster University and Thomas Wood from Fast Data Science.
Click to read more about AI in research at Fast Data Science.
Unleash the potential of your NLP projects with the right talent. Post your job with us and attract candidates who are as passionate about natural language processing.
Hire NLP Experts
Thomas Wood presents the Clinical Trial Risk Tool before the November meeting of the Clinical AI Interest Group at Alan Turing Institute The Clinical AI Interest group is a community of health professionals from a broad range of backgrounds with an interest in Clinical AI, organised by the Alan Turing Institute.

Fast Data Science will appear at Ireland’s Expert Witness Conference on 20 May 2026 in Dublin On 20 May 2026, La Touche Training is running the Expert Witness Conference 2026, at the Radisson Blu Hotel, Golden Lane, Dublin 8, Ireland. This is a full-day event combining practical workshops and interactive sessions, aimed at expert witnesses and legal professionals who want to enhance their expertise. The agenda covers critical topics like recent developments in case law, guidance on report writing, and techniques for handling cross-examination.
Guest post by Alex Nikic In the past few years, Generative AI technology has advanced rapidly, and businesses are increasingly adopting it for a variety of tasks. While GenAI excels at tasks such as document summarisation, question answering, and content generation, it lacks the ability to provide reliable forecasts for future events. GenAI models are not designed for forecasting, and along with the tendancy to hallucinate information, the output of these models should not be trusted when planning key business decisions. For more details, a previous article on our blog explores in-depth the trade-offs of GenAI vs Traditional Machine Learning approaches.
What we can do for you