One hundred days and one hundred lines of code
Last week I attended ‘100 days and 100 lines of code’, which was organised by the Epiverse team at LSHTM. The overall idea was to think about when the next pandemic happens, what the first 100 lines of code written would be (I think more as a cute reference to similar thoughts about vaccine development, rather than a totally serious concept).
The format was over three days:
- Talks from academics, public health and field epidemiologists on their thoughts and experiences with epidemiology software.
- Exercise: starting with data simulated from an outbreak, create problems in the data and a list of questions to answer. Then swap with another group and try and answer their questions. (You can find our exercise response on github)
- Summarise common experiences and problems with software from the second day.
The only couple of reservations about the event I had was that no software developers or research software engineers spoke – which I found odd considering it was ostensibly an event about writing code – and I think we missed their perspective, and whether problems with epidemiology software are similar to other scientific fields. There was also more of a focus on outbreak response and field epi, rather than pandemic response, but maybe that’s reasonable.