Find out how AI and natural language processing are being used in mental health research and other areas of social sciences research.
Here’s a series of interviews with the Wellcome Trust about the Mental Health Data Prize. Members of the three winning teams are discussing the prize and the transformative potential of data in mental health science. Thomas Wood at Fast Data Science talks about the Harmony project, funded by the Wellcome Trust and now by ESRC: Economic and Social Research Council.
Harmonise questionnaire items
Harmony’s team consists of Bettina Moltrecht at UCL, Eoin McElroy at Ulster University, Thomas Wood at Fast Data Science, Mauricio Scopel Hoffman at Universidade Federal de Santa Maria, John Rogers at Delosis, and Rachel Holland Gomes.
You may want to take a look at our paper recently published in BMC Psychiatry:
Looking for experts in Natural Language Processing? Post your job openings with us and find your ideal candidate today!
Post a Job
When can lawyers, litigants in person, and expert witnesses use AI in court documents? In the last few years in the UK, the USA, Canada, Ireland and other jurisdictions, cases have been reported where submissions were made to a court where the author of a document used generative AI tools such as ChatGPT to create those documents. This has wasted court time, resulted in submissions being rejected or even resulted in changes to cost awards.
A person has recently returned from a camping trip and has a fever. Should a doctor diagnose flu or Lyme disease? Would this be any different if they had not mentioned their camping trip? Here’s how LLMs differ from human experts.
How can you predict customer churn using machine learning and AI? In an earlier blog post, I introduced the concept of customer churn. Here, I’d like to dive into customer churn prediction in more detail and show how we can easily and simply use AI to predict customer churn.
What we can do for you
