BashTheBug is a Zooniverse citizen science project I setup in April 2018 to help the large CRyPTIC tuberculosis (TB) consortium analyse the thousands of TB samples it is collecting over the next few years. To determine its drug susceptibility and resistance profile, each sample is being grown on a 96-well plate that contains 14 different anti-TB […]
I am involved in an international collaboration, the Comprehensive Resistance Prediction for Tuberculosis: an International Consortium (CRyPTIC), that is collecting 30-50,000 clinical samples from patients with tuberculosis (TB). Although often viewed as a historical disease, TB kills more people globally than any other infectious disease, with 1.7 million people dying from it in 2016. The ultimate […]
The National Institute for Health Research hold an annual competition, called Let’s Get Digital, to “recognise those people involved in NIHR research using video, photography, websites, infographics and online communities to promote research”. I was encouraged to enter BashTheBug back in June 2017 and was pleased to see in August that we had been shortlisted […]
It is Sunday, I’m in Vienna at the European Congress of Clinical Microbiology and Infectious Diseases (ECCMID) congress. As is traditional at all large conventions, I’m sitting on the floor outside one of the halls because the organisers have put one of the most popular sessions (Gram-negative resistance) in one of the smallest rooms. A […]
My citizen science project, BashTheBug, is launched today. Head over to the website or go straight to the Zooniverse project page and help us start classifying bacterial growth and fighting antibiotic resistance! Alternatively, read the news article on the University of Oxford website or see how the project is doing via its Twitter feed.
Zooniverse have finished beta-testing my BashTheBug citizen science project. To verify that the task is easy to do and the tutorial and help text understandable, the first version of the project was sent to a number of experienced Zooniverse beta-testers. Over a period of two weeks, 672 volunteers made 34,791 classifications which is, on average, […]