event:2021-04

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7th Swiss Open Cultural Data Hackathon - Online Edition

The 2021 Edition of the Swiss Open Cultural Data Hackathon is hosted by the ETH Library in Zurich and will take place online on April 16 & 17.

Related events with presentations and workshops have been scheduled on 20 March and 15 April.

There will be a Warm-up Session on 3 March for newcomers as well as an Onboarding Session on 9 April for everyone who would like to get acquainted with the tools and the datasets a week ahead of the hackathon.

Join us on Facebook or Twitter

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 the infosheets and if you have any questions, feel free to contact beat.estermann@openglam.ch.

You can watch the trailer for the event on YouTube.

<html><!– You can also subscribe to our event newsletter which will let you know once we open registration.

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 ETH Zurich by night. Wikimedia Commons, User:ETH-Bibliothek, CC BY-SA 4.0

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 lies on linked open data, machine learning, human-computer-interaction and crowdsourcing.

Introduction and Warm-up Session

Wednesday, 3 March 2021, 17:00 - 18:00
During this session we will provide an introduction to the hackathon for newcomers. Some datasets will be presented and we will have the chance to brainstorm first project ideas together.

OpenGLAM Workshop Day

Saturday, 20 March 2021, 10:00 - 16:00
On this day, the Swiss OpenGLAM community is gathering for workshops, presentations, and panels on topics relating to linked data, crowdsoucing, machine learning, and human-computer interaction.

The detailed programme will follow.

GLAMhack 2021 Onboarding Session

Friday, 9 April, 17:00 - 18:00
Meet one week ahead of the hackathon to get acquainted with the challenges and datasets that have already been published. The unfolding of the online hackathon will be explained and the tools and platforms will be presented.

GLAMhack 2021 Opening Event

Thursday, 15 April 2021, 15:00 - 19:00
A series of presentations and panels as well as a poetry slam session will put you in the right mood for the hackathon, which will officially start on the next day.

The detailed programme will follow.

Main hackathon from Friday morning to Saturday evening (the detailed programme is subject to change).

Friday, 16 April 2021
08:30 - 09:00 Check-in
09:00 - 09:20 Opening Session, official start of the Hackathon
09:20 - 09:40 Ice Breakers
09:45 - 11:00 Presentation of Challenges / Idea Pitching
11:00 - 12:00 Group Creation
First Group Meeting / Noon Break
14:00 - 14:10 Start Afternoon Programme
Work in groups
17:30 - 18:00 Overview of GLAMhack Projects
Work in groups (“night shift”)
Saturday, 17 April 2021
09:15 - 09:30 Check-in
09:30 - 09:45 Welcome to Day 2
Work in groups
12:15 - 13:00 Noon Break
Work in groups
16:30 - 17:10 Final Project Presentations
17:10 - 17:30 Closing Session

 Swiss Open Cultural Data Hackathon 2018, Swiss National Museum, Zürich. Wikimedia Commons, User:TomBo79, CC BY-SA 4.0

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

Organization Committee
Opendata.ch
Andrea Allemann (project coordinator)
Beat Estermann (co-lead programme committee
Oleg Lavrovsky
Dominik Sievi (co-lead dataset team)
Jonas Lendenmann (dataset team)
ETH Library
Gabriella Padovan (coordinator host institution
Michael Gasser (co-lead programme committee)
Nicole Graf
Simone Leitner (lead communications)
FHGR Chur
Thomas Weibel
Opendata.ch / Basel University Library
Lionel Walter (co-lead dataset team)
infoclio.ch
Enrico Natale
Jan Baumann

The 2021 GLAMhack was made possible by financial and/or in kind contributions from the ETH Library, Wikimedia CH, infoclio.ch, and the members of the Friends of OpenGLAM Network.

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