*** Please appologize for cross- postings *** Call for Applications Digital History Autumn School 2026 From Data Acquisition to Data Publication: Quality Control, Tool Assessment, and Methodological Challenges in Digital History 28 September – 2 October 2026 Herder Institute for Historical Research on East Central Europe, Marburg & HERMES (Humanities Education in Research, Data, and Methods) Data Competence Center Digital tools and AI-assisted methods are increasingly shaping historical research. From OCR and annotation to corpus analysis and the application of generative AI systems in analysis or dissemination, these technologies open up new possibilities for generating and augmenting historical knowledge. Even after a few decades of experience, the combination of hermeneutic and computational approaches is far from straightforward, and researchers are often confront-ed with new methodological and practical challenges such as (but not limited to): · Data acquisition: How can processes of datafication and data-collection lead to relia-ble and accurate data? · Data modeling: Which data model is best suited to a particular research question and dataset, and how can expressiveness and interoperability be optimally balanced? · Data analysis: Are the available tools sufficiently powerful for the chosen model, and do they perform as effectively on one's own data as reported in the literature? · Evaluation: How can results obtained from a specific tool be critically assessed? What roles do data quality, uncertainty, and methodological transparency play in a given re-search context? · Data exchange and reproducibility: How can research results be published and shared in ways that foster reuse and conserve transparency? To what extent are digitally supported methods transferable and reproducible across different datasets, and un-der which conditions? The Digital History Autumn School 2026, organized in the framework of the Joint Lab Cul-tural Data in a Digital World (Herder Institute, Marburg -https://www.herder-institut.de/de/start, in close collaboration with the data competence center – Humanities Edu-cation in Research, Data, and Methods – HERMES - https://hermes-hub.de/ ), addresses these questions from both methodological and practical perspectives. Together with experts in Digi-tal Humanities and Digital History, participants will explore criteria for the selection, applica-tion, and evaluation of digital tools and methods and will have the opportunity to discuss them in the context of their own research projects. Topics · Selection and critical assessment of digital tools · Data preparation and data quality practices · Evaluation methods in the Digital Humanities · Transparency and reproducibility of digital methods · Dealing with uncertainty, ambiguity, and incompleteness in historical data · Source criticism, provenance, and the documentation of data transformation processes In addition to thematic workshops, the Autumn School will provide opportunities for ex-change both with the experts and among the participants. Planned activities include interactive formats such as peer-support sessions, including opportunities for participants to present and discuss their own research data, methods, and research questions as well as networking events. Who Can Apply? ================ The Autumn School is aimed at: · Advanced Master's students · Doctoral researchers (PhD candidates) · Postdoctoral and other early-career researchers from the fields of Digital Humanities, Computer Science, Cultural Heritage, Digital History and Information Science who work with historical and cultural data and wish to integrate dig-ital methods into their research and critically reflect on their use. Practical Information ====================== Dates: 28 September (from 2p.m) – 2 October 2026 (until 2p.m..) Location: Herder Institute, Marburg, and Philipps University Marburg Working Language: English The organizers will provide for single room accommodation at a regular hotel. Travel expenses can be reimbursed up to a maximum of EUR 250. Application Applicants are invited to submit: · A short letter of motivation (maximum one page) · A brief curriculum vitae (CV) · Optionally, a short description of a project or dataset they would like to discuss during the Autumn School Application deadline: 2 August 2026 Notification of acceptance: by 21 August 2026 We welcome applications from individuals with diverse disciplinary backgrounds and particu-larly encourage those who have so far only made limited use of digital methods to apply. Please submit your application as a single PDF file to: [email protected] For further Information please contact Dr. Cristina Vertan at : [email protected]