The ACDH-CH is organizing a virtual CLARIN-DARIAH Hackathon in the course of which participants will be offered an Open Dataset to work on (text data and corresponding metadata). Participants will be given a specific programming task to be solved using this dataset. Submitted results must be Open Source and thus contribute to the Digital Humanities code landscape. Anyone interested in participating can register now; we invite individuals as well as teams of up to three members to participate.
The dataset and task will be published at the end of February 2020. Participants will have one month to develop innovative and creative solutions. An international panel of judges will examine the submissions and choose the winners. The three best submissions will be awarded cash prizes (1. place 700 €, 2. place 500 €, 3. place 300 €) and invited to present their projects at the DHA 2020 conference (23-25 September, Vienna); travel expenses of up to 500 € per team will be covered.
The hack of the ACDH-CH virtual hackathon 2020 focuses on Open Data that is of interest for the Digital Humanities Course Registry, a platform that provides an overview of the growing range of available teaching activities in the field of digital humanities worldwide. In this hack, your task is to develop a creative mode of visualizing data and metadata about teaching activities. You can visualize the data themselves or the results of statistical analysis with the data. You are free to choose your visualisation except for the map based visualisation because this visualisation is already implemented in the DH Course Registry.
Note: No map based visualisations are eligible for this task.
The dataset to be worked on in this task is the data from the DH Course Registry: Data and Metadata regarding whole BA, MA and PhD Programmes or single courses, summer schools and training events for continuous education in the area of Digital Humanities. The data contains information of the topics taught, the course language, the dates etc. For data export, analysis or custom visualisations, a public JSON data API is available here https://dhcr.clarin-dariah.eu/api/v1/
This task is also available on GitHub
Registration is open: 13 November 2019 - 21 February 2020 (noon CET)
Hackathon: 28 February 2020 (2 pm CET) - 31 March 2020 (midnight CET)
Announcement of winners: 15 May 2020
Presentation of winning submissions at DHA conference: 23-25 September 2020 (Vienna)
PARTICIPATION & SUBMISSION
Participants can register as individuals or in teams of max. 3 persons. Only registered participants will be able to submit their hacks and be eligible to win prizes. Each submission has to include code, an instruction on how to run it (readme), a short presentation of what was done (in a format of their choice: poster, video, description,...), enriched data (if applicable) and statistics on the data (if applicable).
Incomplete submissions will not be reviewed.
On the day a hackathon opens, the task will be posted on this site and additionally made available to all registered participants via GitHub. Participants will submit their solutions to a dedicated GitHub repository. Participation in the hackathons requires a GitHub account.
Hackathon winners will be determined by a panel of judges. The prizes will be announced by May 15, 2020.
Participants will work on their solutions in a dedicated (own) GitHub repository. Once you have finished your work, set your repo to public, tag it with the dedicated tag and send the repo link to vanessa.hannesschlaeger[at]oeaw.ac.at and tanja.wissik[at]oeaw.ac.at.
All code submitted by all participants (as well as all reviews by all judges) shall be made permanently publicly available on GitHub under an MIT license (respectively a fitting open license for submissions of enriched data and presentation material). By submitting their code to this challange, participants agree to these terms.
WHO SHOULD PARTICIPATE
All skill levels are welcome. We are looking for DH developers, students, researchers, and anyone interested in working with Open Data in the context of digital humanities.
Your submission will be judged by the following criteria:
Creativity, innovation (e.g. Is the approach/idea new and unique? Does it do something that hasn’t been done before? Does it provide new insights into the data? Does the hack provide a new/faster/clearer solution to the old problem?)
Accessibility, reusability, reproducibility (e.g. Is the code properly documented? Is the technical approach reproducible?)
Elegance (e.g. Is the code easy to modify and reuse? Is it readable for others? Is modularity considered in the design? Is the code simple and concise?)