Invitation to attend SPRITE+ Showcase 2024 (online)

Date:

16/09/2024

Organised by:

SPRITE+/University of Manchester

Presenter:

Multiple

Level:

Entry (no or almost no prior knowledge)

Contact:

Claire Spencer, claire.spencer@manchester.ac.uk

video conference logo

Venue: Online

Description:

We are excited to invite you to the SPRITE+ Showcase 2024 taking place on 16th September 2024 (online). The programme is packed with a range of talks from community members.

Programme outline

13:30 – Welcome by the SPRITE+ Director Prof Mark Elliot
13:40 – Talk by Dr Richard Jones, University of Edinburgh, titled "Digital Product Passports: Unintended Consequences for Human Digital Identity"
14:05 – Talk by Dr Heather Shaw, University of Lancaster, titled “Building a minimal viable digital identity from digital footprints”
14:30 – Talk by Dr Tasos Spiliotopoulos, University of Birmingham, and Prof Rob Dover, Hull University, titled “Smoothing the Digital Identity Onboarding Process”
14:55 - Break        
15:10 – Talk by Prof Jill Marshall, Royal Holloway, titled “Trust, Identity and Right in the Metaverse”
15:35 – Talk by Dr Yang Lu, York’s St John University, and Robin Renwick, Trilateral research, titled “Digital Identify and Life-Course Study” 
16:00 – Talk by Dr Tasos Spiliotopoulos, University of Birmingham, and Prof Rob Dover, Hull University, titled “Trustworthy Digital Identity: What evidence exists about the nature of the relationship between digital and non-digital identities?”    
16:25 - Closing remarks from the SPRITE+ Director Prof Mark Elliot
16:30 - Close    

To attend please register via this airtable form (link below)  by 16:00 BST on 15th September 2024. A zoom link for the event will be sent out nearer the time.

We look forward to welcoming you to our next online event!

SPRITE+ Team

Cost:

FREE

Website and registration:

Region:

North West

Keywords:

Mixed Methods Data Handling and Data Analysis, Technology, Confidentiality and Anonymity, Research Ethics

Related publications and presentations:

Mixed Methods Data Handling and Data Analysis
Technology
Confidentiality and Anonymity
Research Ethics

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