#GLAMhack 2020
Information | Swiss Cultural Data | Cultural Data Worldwide | Earlier Editions

6th Swiss Open Cultural Data Hackathon

The 2020 Edition of the Swiss Open Cultural Data Hackathon will take place on 4-6 June. It is hosted by the Swiss Institute for Information Science at the FHGR Chur, in collaboration with the Institute for Multimedia Production. The focus of the GLAMhack will lie on Linked Open Data, Machine Learning, Human-Computer-Interaction and Crowdsourcing. The Thursday will be dedicated to workshops and guided tours, while the main hackathon will take place on the Friday and Saturday. Once again, we are happy to collaborate with Wikimedia CH, infoclio.ch and other members of the Friends of OpenGLAM Network.

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Share your data in view of the next Open Cultural Data Hackathon

You may own yourself cultural data that you are ready to share. Please look at these infosheets (German / French) on how to share data. If you have further questions, please feel free to contact valerie.hashimoto@openglam.ch.

Entrance to the railway station in Chur. Photo by Cayambe, CC BY-SA 4.0, via Wikimedia Commons.

Main focus and format

The interlinking of cultural heritage data, the use of structured data as well as crowdsourcing and machine learning are becoming more and more institutionalised in the international GLAM community. This is why the focus of the 2020 and 2021 editions will lie on linked open data, machine learning, human-computer-interaction and crowdsourcing.

The hackathon will start with the group formation on Friday morning and end with a round of presentations on Saturday afternoon. A warm-up session will take place on the Thursday afternoon with workshops and guided tours. The detailed programme will be published in February.


These event is organized by the OpenGLAM CH Working Group of the opendata.ch association, with contributions from:

Organization Committee
Beat Estermann
Valérie Hashimoto, project coordinator
Oleg Lavrovsky
Ivo Macek
Michel Pfeiffer
ZB Zürich
Lothar Schmitt (lead programme committee)
Dominik Sievi (lead dataset team)
Opendata.ch / Basel University Library
Lionel Walter
Enrico Natale

Sponsors / Supporting Organizations

The 2020 GLAMhack is made possible by financial and/or in kind contributions from the Swiss Institute for Information Science and the Institute for Multimedia Production of the FHGR Chur, Wikimedia CH, infoclio.ch, GKB FORZA and the members of the Friends of OpenGLAM Network.