Effective Models for Data-driven Collaborations Between Universities and Government - 11 March 2020
Through a combination of case study experiences and practical interactive exercises this event aims to identify opportunities and effective models for cooperation and collaboration between academic researchers and government.
We will present a showcase demonstration of successful projects and then build upon this to offer you the chance to introduce, critically assess and develop your own collaboration opportunities within an interactive workshop format.
Programme
09:00 - 09:30 | Registration and Tea / Coffee
09:30 – 09:45 | Welcome and Introduction to the Event (Andrew McHugh, UBDC)
09:45 – 10:45 | Collaboration showcase lightning presentations
These informal presentations will describe some successful and ongoing collaborations between the Urban Big Data Centre and selected Local Authority partners. In each example speakers will aim to summarise the origins of their collaboration, the respective benefits of participation and any specific challenges or obstacles that have been overcome. The intention is not to present final, or even well-formed research or operational outcomes, but to focus on the collaborations themselves.
- UBDC and Glasgow City Council’s CCTV Object Detection Project (Mark Livingston, UBDC and Kimberley Hose, Glasgow City Council);;
- UBDC and North Lanarkshire Council’s exploration of access to public services in the digital age (Annette Hastings and Yang Wang, UBDC and Nicole Paterson, North Lanarkshire Council);
- UBDC’s data service collection building experiences with government data owners (Andrew McHugh, UBDC).
10:45 – 11:00 | Coffee Break
11:00 – 13:00 | Interactive Session – Developing Effective Models for Collaboration (Moderator TBC)
In this moderated session, through a series of group exercises attendees will share their experiences of similar projects (positive and negative!) and develop a common understanding of challenges around issues such as data sharing, partnership development and shared objective setting, as well as best practice strategies and available resources for effectively addressing them.
Participants will have the chance to develop new collaborative ideas within the workshop environment, critically assessing their feasibility and potential benefits.
13:00 – 14:00 | Lunch and Informal Reporting Back Session
Who should attend
Academic researchers focusing on urban themed research and city managers, implementers and policymakers from government organisations.
Registration
Resgistration is via Citizen Ticket. If you have any issues or queries with your registration, please contact us at [email protected].
Register
More information here.
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Please be aware that photography and filming may take place during the event. The photos and video may be used to promote future events on the Urban Big Data Centre website and social media channels, the DataFest and / or The Data Lab websites and social media channels and on digital and/or print/promotional materials.
If you do not wish to be included, please let us know at registration on the day, or contact Rhiannon Law at Urban Big Data Centre ([email protected]) and we will give you an identifier so the photographers / videographers know not to include you.
For information as to how The Data Lab uses personal data please see the privacy policy at https://www.thedatalab.com/privacy-policy/.
For information as to how the Urban Big Data Centre uses personal data please see the privacy policy at https://www.ubdc.ac.uk/privacy-and-cookies.
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