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The UCL Social Data Institute is delighted to announce that it is partnering with the Greater London Authority to deliver a better data and evidence base for night workers in London.
The UCL Social Data Institute is delighted to announce its partnership with the Greater London Authority to deliver a better data and evidence base for night workers in London. Working with partners Didobi Limited and UCL Urban Laboratory, this initiative moves beyond the traditional focus on the 'Night-Time Economy' to include a broader understanding of urban communities, culture, environment, and opportunities after dark.
UCL is keen to contribute to this growing effort to create a more detailed understanding of night-time activities, especially for often precarious night-workers. We will pursue ambitious approaches to data collection (both quantitative and qualitative) that will generate fresh insights to inform more equitable policy.
This project has received support, advice, and funding from UCL Innovation & Enterprise and data from Smart Data Research UK. We are also in collaboration with Didobi Ltd, UCL Urban Laboratory, and The Bartlett School of Architecture.
The UCL team is composed of Professor James Cheshire (UCL Social Data Institute), Professor Ben Campkin and Dr Alessio Kolioulis (UCL Urban Laboratory/The Bartlett School of Architecture), Dr Justin Van Dijk, Dr Igor Tkalec, and Moira Hague, with additional collaboration from Matt Baker and Matthew Hopkinson at Didobi Ltd. *
Data After Dark survey: how to participate
The project is in its early stages, but if you are someone that works anytime between 6pm and 6am, or you are an employer with workers who do, then we would like you to fill out and share our short survey. Please click here to access it.
Voices of Night-workers: Lived Experiences
In the second phase of the project led by Prof Ben Campkin and Dr Alessio Kolioulis, qualitative research methods will be used to collect narratives of night workers in precarious employment, particularly in the hospitality, logistics, and healthcare sectors. The insights gathered will inform more inclusive policy decisions and improve support structures for London's nocturnal workforce.
*This project has received support, advice, and funding from UCL Innovation & Enterprise and data from Smart Data Research UK.
