Waag at MozFest 2022

The recording of this session can be viewed via the MozFest website after creating an account.

Mozfest is a yearly international tech festival, initiated by the Mozilla Foundation - the community behind the open-source Firefox web browser. Waag joins into this year’s edition with a session about Data Commons. Through four use cases, we aim to identify the rule patterns and open questions. We welcome participants that have an interest in data commons. People with knowledge of rule patterns for data access are invited to share their experience and, if time permits, introduce their own use case. Tickets for the festival are available for a pay-what-you-can rate.

More information and tickets

Data Commons
With the growing awareness of the negative effects of the privatisation of data, the quest for data governance models based on public values is thriving. The work on the governance of the commons provides a promising point of departure for the discussion on the collective management of data.

The collective determination of the rules for specific circumstances is central to this. We will leave the organisational and legal questions aside for now and focus on the operational aspects of data commons: what are possible rules for gathering, transforming, accessing and sharing data?  

In this session, we will discuss use-cases and aim to identify the rule patterns and open questions:

  • Tom Griffioen of Clappform will present the use-case of energy savings in rentals and the difficulties of obtaining data. 
  • Quirine van Eeden of Waag will present the use-case of BioCommons, a project that focuses on the responsible sharing of genetic data.
  • Hayo Schreijer will present the use-case of sensor data and the conditions of sharing.

We will dive into questions like: should all data be public? If not, who has access to the data and how do we avoid the ‘free riders problem’? How do we deal with specific types of resources in specific circumstances within a data commons? To which extend do we expect these rules to be enforced automatically and when is human intervention needed? What automation mechanisms do we have available to enforce this?

This workshop is part of the AMdEX fieldlab project. AMdEX accelerates the transition to a fair data economy by giving data owners control over data, even when they decide to make it accessible for others. To this end we co-design and co-develop a neutral and independent infrastructure that allows data and algorithm owners to set rules of use and enforce them. AMdEX is a collaboration between AMS-IX, UvA, SURF, deXes, Waag and Amsterdam Economic Board and co-funded by the European Regional Development Fund.