Doing research on data uses, needs & capabilities with local authorities
|Urban Big Data Centre|
Dr Justine Gangneux (Research Associate, Urban Big Data Centre) and Professor Simon Joss (Associate Director, Urban Big Data Centre)
7 Lilybank Gardens, University of Glasgow, Glasgow
View in Google Maps (G12 8RZ)
Rhiannon Law, Business and Communications Officer, email@example.com
Local authorities, already hit hard by a decade of austerity, are now facing a considerable challenge of managing economic and social recovery in a post-Covid world.
In this context, data intelligence, as well as the capability to access and use near real-time data and intelligence are seen by many as an important part of managing recovery and inform policy making at the local level. It is therefore timely and important, to examine the ways in which local government stakeholders use data to manage the crisis and the recovery, how they manage existing and arising data needs, as well as whether the crisis has reshaped data governance and/or generated new forms of data collaborations at the local level.
Drawing on an ongoing research project led by Dr Justine Gangneux and Professor Simon Joss of UBDC and in collaboration with the Digital Office for Scottish Local Government, this webinar will discuss and share learning on researching data uses, needs and capabilities with local authorities. It will be structured around four discussion points:
The format of this interactive session will be presentations followed by a question and answer discussion.
What you will learn
By the end of the event, participants will be able to:
Who should attend
This webinar is for those working in/with local authorities, planners, students and researchers interested in data and local government.
Prior knowledge requirements
No specific data-related prior knowledge required. An understanding of local government in the UK would be beneficial.
Data and software requirements
No data or software is required to participate in this webinar.
Registration for this online event is free and available via Eventbrite. Full details and instructions for joining will be circulated post-registration.
Entry (no or almost no prior knowledge)
Website and registration
Data Quality and Data Management , Mixed Methods Data Handling and Data Analysis, Mixed Methods Approaches (other)
Related publications and presentations