In pursuit of fair co-creation

Thema: Open Networks
Datum: Freitag, 19. Oktober 2018

Zeit: 10:30 - 11.30

Raum: 6.62 Ort: Welle7, Bern

Open Network Infrastructure Association

Every weekend, masses of people take part in hackathons around the world. From corporate innovation labs to chaotic co-creation jams, from competitive coding to cooperative making, from nondisclosure to open license, there are hackathons for everyone's taste. Yet, despite common labels, such as 'hackathon' or ‘hackday’, their goals vary greatly. This creates ambiguity that is exploited for work precarization. We will briefly outline recent work and literature on this subject and lead a discussion about: how can we build an open platform for fairness-assuring, time-bounded collaborative event?

Weitere Informationen

What is a hackathon? Every year, hundreds of these events pop up on weekends across the country. From corporate innovation experiments to chaotic co-creation jams, from competitive coding to cooperative maker events, from protected IP to open license models, there’s a hackathon for everyone’s taste.

And yet, despite being labeled under the common ‚hackathon‘ name, their goals vary greatly.

This poses two main problems:

  • Hackathons are used as a means for work precarization and free labor.
  • Ambiguity means expectations are unclear for participants and stakeholders.

Since 2016, Open Data Zurich, and Open Network Infrastructure Association have been working on defining a conceptual framework for cooperative co-creation time-bounded events that foster knowledge sharing and engagement, using as a case study and test platform.

We propose an ‚open data driven model‘ for time-bounded events:

  • Events are data sources themselves.
  • Events are self-describing using a metadata scheme.
  • Event meta-data contains classifiers to describe different event typologies.
  • Event meta-data describes and links to event data (i.e. projects).
  • Event data becomes an integral part of the data source.

The end result is an event that is in itself a fully discoverable, machine-readable data source that includes both meta-data and concrete data generated during it.

Ablauf der Session


Summary presentation

Workshop outline

Literature list


Makers, developers, tech enthusiasts, activists, openness activists, innovation champions, policymakers.


Open Network Infrastructure Association



Gonzalo Casas, ETH Zurich

Oleg Lavrovsky,

Reto Wick, Open Data Zurich