Teaching & Supervision
I am teaching Data Modelling, Digital History, Digital Scholarly Editing, Research Data Management, Project Management and Web Design
Teaching
I have taught BA and MA courses at multiple universities, and organized workshops and summer schools on digital scholarly editing and DH methods (mostly with the IDE, see Schools and Materials). I am dedicated to creating dynamic, student-centered learning environments that foster critical thinking and equip students with practical skills for real-world challenges in the digital humanities field. I completed a Higher Education Didactics Training from the University of Graz and the eDidactics certificate program from the Styrian universities to improve my teaching and student experience by including digital tools and AI, in both traditional and online settings. I also created an online course “Text Encoding and the TEI” with Susan Schreibman at dariahTeach (Open Educational Resources for the Digital Arts & Humanities).
Courses
The lecture introduced key concepts of Research Data Management (RDM) and the data lifecycle, covering best practices for data collection, organization, storage, sharing, and analysis. It explored strategies to ensure data integrity, reproducibility, and long-term preservation while emphasizing the importance of data standards and formats. Practical examples using research data and exercises focused on developing a Data Management Plan (DMP) were included to demonstrate these concepts in action. The lecture also highlighted the critical role of data and RDM in academic research and its contribution to fostering open science and collaborative scholarship.
The lecture introduced key concepts of Research Data Management (RDM) and the data lifecycle, emphasizing best practices for data collection, organization, storage, and sharing. It explored strategies for ensuring data integrity, reproducibility, and long-term preservation, highlighting the importance of RDM in academic research and its role in fostering open science.
The course focused on digital history, where students and I explored methods and tools to analyze, visualize, and present historical data, fostering critical engagement with digital sources and technologies to enhance research skills. Practical sessions included exploring a historical dataset using OpenRefine and Python.
The course introduced basic aspects of model theory and data modeling techniques. It began with an overview of model theory, focusing on the model as a tool for gaining knowledge, based on Herbert Stachowiak's "General Model Theory." The course then explored key concepts of data modeling and demonstrated the process from conception to a finished data model. This included creating an Entity Relationship Diagram (ERD) using Peter Chen's approach, transforming the conceptual model into a logical structure, and representing it with computer software. Various data structures, particularly relational models, were discussed. In the practical sessions, students learned to work with relational databases and SQL.
The course provided a theoretical and practical introduction to modeling humanities data using XML, with a particular focus on the Text Encoding Initiative (TEI) standard. Over the past two decades, TEI had become a de facto standard for the semantic encoding and enrichment of humanities data, commonly used in the development of digital editions, digital collections, and linguistic text corpora. Through a combination of lectures, discussions, and hands-on exercises, the course covered working with XML and schema languages, the fundamentals of modeling and text encoding with TEI, and how to effectively use the TEI Guidelines.
The seminar allowed students to apply knowledge from the Master's program in Digital Humanities to a project, using digital methods to answer questions from various humanities research domains. The goal was independent problem analysis, solution development, and self-organized project implementation, with supervision and regular coordination.
Digital Humanities projects were complex due to their multidisciplinary nature and methodology. Successful execution required expertise not only in content but also in planning, support, and implementation, built on theoretical knowledge of various project management types and practical experience across all phases of planning, indexing, publishing, and archiving.
In this course, students explored the workflow of a DH project from conception to publication, using a concrete example focused on Digital Editions. They were introduced to theoretical and practical aspects of project management, while expanding their skills in handling technologies and (meta)data standards through a hands-on coursework project.
This course introduces students to the modeling of humanities data using XML, emphasizing the TEI standard. It covers essential topics such as X technologies, XML and schema languages, TEI-based text encoding, and the use of TEI guidelines in digital humanities projects like digital editions and linguistic corpora.
This course is an introduction to the theories, practices, and methods that are used in the humanities for the encoding of texts for research, for preservation, and for online distribution. It focuses on a particular method, that of text encoding, using eXtensible Markup Language (XML), and a specialised schema common to humanities research, The Text Encoding Language (TEI).
Supervision
Title: Positionsanalyse frühneuhochdeutscher Grapheme: Möglichkeiten der hyperdiplomatischen Transkription in der Digitalen Paläographie
Title: Theorie und Anwendung von Named Entity Recognition in den Digital Humanities mit Fokus auf historische Texte des 17. Jahrhunderts
Documenting Transmission: Digitally Tracing and Displaying the Folk Process