Written by Megan Young
It’s early in the morning, somewhere around 4am, and I have been woken from sleep (again) by a migraine. More precisely it is a cluster headache, but this always sounds to me too gentle a label for the kind of nerve pain that accompanies it, so I call them migraines in an attempt to communicate the appropriate level of suffering.
Continue readingWritten by Paulina Bondaronek and Siobhán Healy-Cullen
Machine-assisted topic analysis (MATA) aims to use the efficiency of Artificial Intelligence and combines it with the nuanced and rich insights derived from qualitative analysis. I call this a “meaningful AI-Human collaboration”. MATA was developed in response to a significant challenge during the COVID-19 pandemic; I was tasked with analysing and providing actionable insights based on 16,000 free-text responses to the question “How could we improve the service” (rapidly). The service in question was the NHS Test & Trace, which managed the pandemic response in England. With only my eyeballs to rely on (…and my expertise as a Behavioural Scientist), I recognised the potential of technology to speed up this task.
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