Recently, I was asked to give talks at both UCL’s CASA and the ETH Future Cities Lab in Singapore for students and staff new to ‘urban data science’ and the sorts of workflows involved in collecting, processing, analysing, and reporting on urban geo-data. Developing the talk proved to be a rather enjoyable opportunity to reflect on more than a decade in commercial data mining and academic research – not only did I realise how far I had come, I realised how far the domain had come in that time.
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