So, to start with the bad news.  Neither James or I were particularly surprised to hear this week that the ESRC turned down our application for Rescue Geography 2, working on the live redevelopment process in Kidderminster (see the ReWyre site for details of the work the council are up to).  Two of the five referees loved it, two thought it was good with a couple of issues which needed resolving and one refereee absolutely hated it, though their objections seemed pretty irrelevant/missing the point.  Ho hum, this is the way things go in academia, particularly with grant funding being slashed at the moment.  It’s a real pity, because we’d have really liked to work with Ken and his team on what’s going to be a really exciting regeneration project.  So it goes.

On the cycling side of things, everything seems to be progressing smoothly.  I hooked up with Dan last week and we agreed the details of the exhibition we’re going to do.  It’s kinda exciting to feel like you’re commissioning art – perhaps I ought to get myself some kind of salon and have gatherings of the bright and the beautiful for the drinking of absinthe and exchange of ideas.  We agreed that this should take place in May, partly to give us time to organise everything and partly so that the weather’s a bit better, which is pretty crucial for something which is primarily going to be held outdoors.  So I’ve given Dan the contact details of all the participants who ticked the box saying they’d be happy to take part in a photography project and I guess we’ll see what happens.

I’m giving this talk on Monday, just an in-house seminar thing, but it’s forced me to really have a good look through the data and see what’s what.  The main thing has been that it’s really forced me to get to grips with some of the higher functions in NVivo, such as being able to analyse stuff by participant characteristics (e.g. gender).  As a result I’ve managed to produced an awful lot of graphs (after an awful lot of swearing trying to work out how to tell NVivo what I wanted it to do).  Just a quick sample of the kind of thing:

A graph showing themes discussed against the gender of the speaker

To produce this I rescaled the actual number of times a theme was mentioned to correct for the fact that there wasn’t a 50-50 split of men and women in the sample, so the numbers on the left hand side are indicative rather than real – otherwise the fact that there were 17 men and 11 women in the sample would have made it harder to identify themes were women commented particularly strongly.  For this graph I’ve picked out specific themes that showed a significant skew towards women.  You can then drill back down into the quotes to see what’s going on, say for example on cycle infrastructure, participant 10 talking about how difficult it is for her to lift the bike up the stairs off the canal at University Station.

I’ve also produced this map

An example of how GPS can be used in a slightly dodgy way

which gives a good example of the ethical issues raised when using GPS with participants.  Clearly I can identify people’s houses from the GPS track (although I exclude these from the maps on the website).  This means that I can map participants homes against, in this example, the Index of Multiple Deprivation and use this as a proxy for social class.  Now at no point did any of the participants sign up for the GPS data to be used in this way so it would be incredibly unethical to take participant’s home’s IMD score and use this as one of the modes of analysis within NVivo.  This particular example isn’t so problematic on this project as most participants live close (i.e. cycling distance) to the Uni and most of the areas around the Uni are pretty uniformally non-deprived, but on a different kind of project it could be a pretty dodgy way to make certain kinds of assumptions about participants.  Obviously with the scale used on this map and the anonymity it’s just illustrating a point rather than bending any ethical rules, but these are the kinds of things you have to think about when engaging in these kinds of technological projects.

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