London Data Week 2025 takes place all over London (but there are also a few online events). Some of the events are aimed at data scientists and healthcare professionals but loads are aimed at a general public audience (and some are aimed at mixed audiences).
The full list of events is here https://londondataweek.org/ldw25-events/ and click on "See More âžš" to bring up full details for any event. Many are free (but often require registration). There are about 45 events listed so far (the first three on 7th July aren't aimed at a public audience though).
An example of one on Tuesday 8th July which is free but ticketed.
Electrical health signals from our bodies
Help us improve how we explain and use these data
King’s College London
Address: London Institute for Healthcare Engineering, 100 Lambeth Palace Rd, London SE1 7AR
Time: 14:00 – 16:00
Our bodies work through electricity. When we are in hospital, this electricity is often recorded. You may be familiar with the ‘ECG’ – electricity from the heart. We can also record electricity from other body parts, like the brain. This kind of bioelectrical health data helps us to understand how disease happens, and how we could prevent this.
We want the public to be part of this research journey; in this workshop within London Data Week, we invite your input! Help us to shape the way that we talk about bioelectrical health data, and give us your thoughts. After the event, we will post a summary on Open Science Framework (https://osf.io/). Anybody who attends this event and is happy to share their name can be listed as a co-author. The summary will then be linked to from King’s College London webpages, and we will invite more people to contribute to and update the document. By doing this, we will crowdsource a ‘citizen science’ approach to bioelectrical health data, giving everybody the opportunity to contribute.
This event is suitable for a general audience (adults or 14 years+). The organisers particularly invite those from minority backgrounds to attend, who are often under-represented in data science conversations.
Jo