Hi, I’m Evan. I’m a social researcher and data analyst, originally from Canada and currently living in London, working for Disability Rights UK. I’m particularly interested in policy issues around health, disabilities, education, employment, housing and transport (all of which are related). I’m very fond of mapping things, figuring out new ways of looking at a problem and demonstrating research findings.

I create and maintain a dataset of speeches made in the UK House of Commons, which includes sentiment analysis, fewer spelling mistakes and more accurate speaker identification than the official record. I also have a few R packages, mostly for data retrieval and producing reproducible research on UK politics.

I have a semi-frequently used Twitter feed, and have a bunch of completed and ongoing projects on GitHub. I’ve started building Shiny apps, and use Shiny to power my ongoing comparison of the financial advantages (or disadvantages) of cycling to work instead of taking public transport, and the map of where in London has the best value-for-money housing in terms of public transport services. I occasionally write stuff on my blog and have published a few reports and papers.

Besides all this technical stuff, I enjoy running, worrying that my musical tastes make me look like a pretentious snob, trying to read more fiction and enjoying living in a flat in London, rather than in a tent in northern British Columbia, like I used to.

Most recent blog post:

Disabled People's Voting Patterns in the 2019 General Election

Disabled People's Voting Patterns in the 2019 General Election
In line with a previous post summarising disabled people’s votes in the 2016 EU Referendum and the 2017 General Election, I have created, using the just released British Election Study wave 19 data. I’m hoping to dig into this dataset more in the coming weeks (along with everyone else interested in UK politics), and produce some more consistent comparisons with previous elections but in the meantime, here’s my quick and dirty, written from a Parisian cafe analysis of how disabled people voted in the 2019 general election. [Read More]