This series brings together members of the urban analytics research community once a month for presentations and discussion of recent research, hosted by the Turing’s Urban Analytics programme.

Although aimed at academics (at all career stages), it is envisaged that there will also be sessions with participation from stakeholders in industry and government.

About the event

Using mobility data in urban science workshop

Wednesday 27 October 2021, 14:00 - 17:30 BST

The ITINERANT project is organising a workshop to bring together scholars interested in exploiting new forms of data to understand human movements. The workshop will foster the exchange of ideas on methods, tools and applications related to the use of these new data sources to better understand how people move, access and experience cities.

Increasingly, data on human mobility are obtained from mobile phone signals and traces left through the use of mobile applications. These data sources have been employed to investigate a wide variety of urban dynamics spanning, among others, segregation and inequality, travel choices, mobility flows, interdependence of places and, more recently, the spread of COVID-19. However, analysing these data does not come without challenges, such as tackling the problem of representativeness and bias, addressing privacy concerns and dealing with the usability of often noisy and complex datasets.

This workshop is coordinated by ITINERANT (InequaliTies IN Experiencing uRbAn fuNcTion), a project funded by The Alan Turing Institute within the urban analytics programme. ITINERANT investigates how different populations experience and benefit from urban functions leveraging mobility data at high spatiotemporal resolution. The full program of the talks will be announced soon, so save the date and watch this space for further announcements.

Outcomes from previous events

Delivering societal impact through place-based Urban Analytics (Mark Mon-Williams, University of Leeds)

Strategic Urban Digital Twins: Optimising urban development for long-term sustainable planning (Alistair Ford, Newcastle University)

"Prefer not to declare" may declare a lot (Ana Basiri, University College London)

Register now

Wednesday 27 October 2021, 14:00 - 17:30 BST