Expression of Interest: 5G for Museums, Galleries and Heritage - unlocking the full potential
Date and time
Location
Description
Programme
13:00 – Arrivals & Registrations
13:30 – Welcome & Introductions
13:45 – What is 5G? - presentation
14:00 – Discussion panel + Q&A - impact of 5G on museums, heritage and the wider tourism and creative industries sectors
14:45 – Refreshment Break
15:10 - Workshop session + feedback: work in groups to discuss specific areas in greater depth
16:10 - Final Remarks
16:20 – Networking
17:30 – Close
Panel Speakers:
- Chris Michaels (Digital Director, The National Gallery)
- Prof Mischa Dohler (FIEEE FREng FRSA FIET, Chair Professor, Dept of Engineering, King's College London)
- Ian Smith (Programme Director - 5G Testbeds and Trials, DCMS)
- Gabrielle Jenks (Digital Director at Manchester International Festival)
** Conditions of Registration **
Places at the event are limited, and we are operating an expression of interest system for this event. You will be informed in due course if you have been allocated a ticket. Venue information will only be provided to those who have been offered a place.
***Statement of Intent***
The Knowledge Transfer Network is committed to increasing diversity and advancing equality of opportunity to create a vibrant climate of inclusiveness across the sectors that we serve.
As a responsible business, it is important to us that we represent the diversity of our people and communities, and that we create an inclusive innovation ecosystem in the UK in which everyone can reach their full potential.
It is vital that we monitor and analyse diversity information so that we can ensure that our processes, events and communications are fair, transparent, promote equality of opportunity for all, and do not have an adverse impact on any particular group.
Your cooperation in providing us with accurate data will ensure that we design and apply policies and processes that embrace a diverse and inclusive environment.
Any information provided on registration will be treated as strictly confidential and will be used for statistical purposes only.
No information will be published or used in any way which allows any individual to be identified.
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