Search anything

Close search
Back to Programme
Watch our five-part television series introducing the primary concepts of co-designing with data.

'My Data, My Self' TV Station

My Data, My Self
Graham Ogilvie Design

Our five-part, online series introduces the primary concepts of co-designing with data. The broadcasts explore how designers in our programmes here in Scotland and partners in Eindhoven work with the public and academics to understand ethical challenges that surround the management of personal data.

Data continues to grow in value and meaning for culture, society and the economy.

This was once jargon used by startup companies and social media giants. But now, the public’s literacy for the term is developing and they are beginning to care about what it means to them and their communities.

Data is no longer a trail that we carelessly leave behind as we move from app to app. People are becoming conscious of how it changes the way they see the world. It changes what we are invited to shop for, which friends we can hear, and which political party is most likely to be of interest to us.

Our view of the world through smart phones is informed by our shadow selves, that remain in datasets, and that are being traded minute by minute.

People are now ready to talk about data and how to make it meaningful to themselves.

Join us online in our discussions and discoveries of data:

Episode 1: Designing from and with Data

Episode 2: Data-Day Lives

Episode 3: Our Data Footprint

Episode 4: Eindhoven and Edinburgh in conversation

Episode 5: The ‘My Data, My Self’ Exhibition

Find all episodes on our Vimeo TV showcase channel:

As featured in

Design Informatics, DDI and ImaginationLancaster

In the Institute for Design Informatics at the University of Edinburgh, we design systems for better human data interaction, in diverse settings such as health, culture, mobility and finance. We explore design from, with, and by data: the central concern is the design of flows of data which sustain and enhance human values. Relevant technologies range from the Internet of things, through blockchains, to robotics, speech recognition, data visualization, interaction design, and social computing.