Storyscape

Check out the year's end issue of this ESRI mapping newsletter with lots of StoryMap related news...

Data after Dark

Via Professor James Cheshire on LinkedIn.

Today we've published DATA AFTER DARK: a huge piece of work that shines a much needed light on the geography and lived experiences of London's 1.3 million night workers. 

Check it out!

https://dataafterdark.org/

There's too many findings for one post, so for now I want to thank all the night workers who responded to our surveys and who spoke to our researchers and to thank the wider team and supporters of this milestone project.

The research looks like being really useful, and perhaps the night needs to have a greater presence in the geographies that we teach - particularly at this time of year when many of us who are teaching leave home in the dark and arrive home in the dark.

The site includes a very nicely presented research report on night-time working and the night-time economy, as well as centring the voices of night-time workers.

Download the research report here (PDF download)

From the website:

Although night workers make up a little over a quarter of London’s total workers, they are noticeably under-represented in traditional sources of data. Data gathering efforts, and the policy insights that flow from them, still presume the regular “9 to 5” working day, but this is increasingly unrepresentative of people's lived experiences and is not fit for purpose for the millions who work when many of us are enjoying a night out or sleeping.

Data After Dark represents the most comprehensive studies of London’s night workers completed to date, spanning three detailed pieces of work:

• Voices of Night Workers: in-depth, documented, night worker-led discussions
• Didobi Night Worker Report: an extensive survey of workers and their employers
• Mapping Night Work: the innovative spatial analysis of large datasets

Data After Dark was initiated by the UCL Social Data Institute with collaborators from the UCL Urban Laboratory, The Bartlett School of Architecture, the Geographic Data Service and Didobi Limited.

The research was supported by the Mayor of London. It received support, advice and funding from UCL Innovation & Enterprise.