UrbanData2Decide: Integrated Data Visualisation and Decision Making Solutions to Forecast and Manage Complex Urban Challenges
As cities grow larger and more complex, urban governance has become increasingly challenging. UrbanData2Decide: Integrated Data Visualisation and Decision Making Solutions to Forecast and Manage Complex Urban Challenges explores the ways that new sources of data can be harnessed to guide decision making.
Focusing on social media and open data libraries, the research combines detailed analysis and visualisation of large volumes of information with input from external experts and academic tools to interpret these flows. Together, the inputs will provide a clear and accessible data source on a range of important areas in cities.
The project will therefore support public administrators, researchers and other stakeholders to deliver more informed and targeted urban policies, while also providing experts with the opportunity to input into decision making. The outputs will also provide important information for forecasting in areas such as emergency response and conflict management.
Project Website Project Twitter
Jonathan Bright (Principal Investigator, Research Fellow)
Stefano de Sabbata (Researcher)
Tom Heath (Head of Research)
Collation and visualisation of social media and open data libraries, combined with expert input, into an integrated information portal.
Partnerships with local governments, leading to improved capacity to forecast emerging urban challenges.
Estimating Local Commuting Patterns from Geolocated Twitter Data
29 October 2017
How can we map commuting patterns through social media?
11 February 2016