Masterclass: Gig Economy

Thursday, Sep 5
17:30 — 18:30
Access with wristband

Masterclass: Gig Economy

Learn, Democracy, Sustain,

Designing New Social Safety Nets for Workers: with Jacob Ohrvik-Stott (UK)

In this masterclass, Jacob Ohrvik-Stott, Senior Researcher at Doteveryone, discuss new social safety nets in an age of precarious and transient gig work.

Since March 2019, Doteveryone has been speaking to gig economy workers – from Uber drivers in Stoke-on-Trent to hired cleaners in London – to explore opportunities to improve their financial resilience and create new training pathways towards better work. Participants will hear these workers’ stories, and have an opportunity to discuss and critique 4 new prototypes co-developed by Doteveryone and these workers.

Participants will:

  1. Be given a snapshot of the new reality of precarious gig economy work, from first-hand experiences of those working with it in the UK.
  2. Gain an insight into the challenges of conducting real-world “contextual research”, and collaborating with workers to create new prototypes.
  3. Contribute to the development of new social safety net prototypes for gig workers – Doteveryone will be further developing them throughout 2019 and are seeking collaboration.


Jacob is a Senior Researcher at Doteveryone. His work looks at the impact of digital technologies on society, and explores how regulation, policy change and public engagement can be used to change this relationship for the better. He is a member of digital advisory boards for the Scottish Government and the Centre for Data Ethics and Innovation, and is a fellow of the British Council’s 2019 Future Leaders.

Prior to joining Doteveryone Jacob worked in energy and climate policy, and in science engagement running youth panels, deliberative research and science festivals.

Check out all the Techfestival Masterclasses.


17:00 – 18:00: Distributed Design, Values and Application.

17:30 – 18:30 Gig Economy

18:00 – 19:00 Public Code in Government


17:00 – 18:00 Driving Digital Transformation in Gastronomy.

18:00 – 19:00 Building Prediction Models for AI Services.

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