AI can support research in the Humanities making it easier and more efficient. It is thus essential that AI practitioners and Humanities scholars take a Humanities-centred approach to the development, deployment and application of AI methods for the Humanities.

Aim & Scope

Inferring ancient cultural traditions from written artefacts, AI offers many opportunities to assist humanities scholars in their work. Editorial projects and computer-aided evaluations, such as text and data mining or linguistic analyses, require the collecting, storing, and linking of data in order to quickly identify core information of the written artefacts under investigation. Time-consuming procedures like the creation of dictionaries or the use of bibliographies can be facilitated, abridged and designed more efficiently through the automatic linking of data, which enables to create extensive data sets and to generate additional information. In this way, AI supports scholars with time-saving methods for their research, hence leaving more room for core tasks and questions. To ensure that the use of AI methods in the humanities remains not only abstract and theoretic, the applicability of algorithms in respective research needs to be specifically examined and intentionally developed with a clear focus on humanities research.

Topics

This workshop addresses AI methods from the perspective of humanities scholars. We encourage submissions that report on work in progress or present a synthesis of emerging research trends. Topics of interest include, but are not limited to:

• AI for the interdisciplinary work of humanities scholars
• AI for linking data from the humanities scholars
• Digitized written artefact representation and description formats
• AI methods for written artefact analysis
• OCR for humanities scholarsHuman-aware agents supporting tasks of humanities scholars

Submission

Submitted abstracts/papers must

• be 1 - 3 'standard' pages in length (abstract);
• be 5 - 9 'standard' pages in length (short papers);
• be 10 - 15 'standard' pages in length (regular papers);
• contain your research question(s), the methodological approach and your findings;
• be written in English;
• contain author names, affiliations, and email addresses;
• be formatted according to the CEUR-WS-Template (use the 1-column style): http://ceur-ws.org/Vol-XXX/CEURART.zip
• be submitted in PDF and the source file.

Committees

Program Committee

• Thomas Asselborn, Universität Hamburg
• Dr Magnus Bender, Universität Hamburg
• Prof Dr habil Meike Klettke, Universität Regensburg
• Dr Sylvia Melzer, Universität Hamburg
• Dr Hagen Peukert, Universität Hamburg
• Dr Stefan Thiemann, Universität Hamburg

Workshop Organizers

• Dr Sylvia Melzer, Universität Hamburg
• Dr Stefan Thiemann, Universität Hamburg
• Dr Hagen Peukert, Universität Hamburg
• Dr Magnus Bender, Universität Hamburg