Digital Humanities Hackathon on Text Re-Use: ‘Don’t leave your data problems at home!’
27-30 July, 2015
Hosted by the Göttingen Centre for Digital Humanities (GCDH), Georg-August-Universität Göttingen, Germany Organised by: Emily Franzini, Greta Franzini and Maria Moritz
The Göttingen Centre for Digital Humanities will host a Hackathon targeted at students and researchers with a humanities background who wish to improve their computer skills by working with their own data-set. Rather than teaching everything there is to know about algorithms, the Hackathon will assist participants with their specific data-related problem, so that they can take away the knowledge needed to tackle the issue(s) at hand.
TEI Hackathon at DH2015: Building Tools for TEI Collections
The TEI Consortium is sponsoring a Hackathon at DH2015 on 29 June 2015. To register for the Hackathon you must first submit a brief application at http://tinyurl.com/tei-hackathon-dh2015 prior to registering for the ‘workshop’ on the http://dh2015.org/ website. You’ll be notified by 15 May (if not before) of your acceptance on the hackathon.
The Guidelines of the Text Encoding Initiative (TEI) are widely used for creating resources, but there is little standardisation across multiple projects for querying, searching, and analysing TEI-encoded texts. Developers unfamiliar with the TEI often approach the development of TEI processing systems either with trepidation or ignorance of potential complications. This unconference-style Hackathon is open either to developers with very little TEI experience (but significant programming skills) or experts in the TEI (with a little programming experience), or people who have both. It is not a training workshop!
There is no charge for those attending this day-long workshop, but you will be expected to work in groups to program something useful. Applications to join the Hackathon should be completed online http://tinyurl.com/tei-hackathon-dh2015 at before 1 May. Applicants will be notified of acceptance by 15 May. Late applications will be considered if there is space.
Nick Laiacona, Performant Software Solutions LLC (www.performantsoftware.com)
Working Group Project:
I worked on the ODD Visualizer project.
Contribution to Group Project:
I adapted the D3 Tree View to work with the data model we developed to characterize the changes to a schema prescribed by a given ODD.