by Jaap Geraerts COVID-19 has posed a challenge, to put it mildly, to how most of us go about living our lives. Either in our personal life or work life, most if not all of us had to make significant adaptions in order to deal with a world that still is in the grasp of pandemic. The experience I’d like to focus on in this blog post, is that of doing research at these unprecedented times.

A How-to have fun with DH on the road by generating 3D models from photos using Structure From Motion Photogrammetry by Sarah Lang The Digital Humanities have such a huge inventory of digital methods that it is pretty hard to keep up with the learning of new methods while working with others just recently learned.

by Anna Aschauer The IEG and our DH Lab is involved in ReIReS, a joint project building infrastructure on religious studies, about which my colleague Jaap Geraerts already wrote here.

by Monika Barget Für viele Geisteswissenschaftler:innen und Mitarbeiter:innen in der Forschungskommunikation sind Karten methodische Werkzeuge, um räumliche Beziehungen und Entwicklungen zu analysieren und zu vermitteln.

Präambel: Dieser Text ist ein kollektives Dokument, das keine zuordenbare Autorschaft hat. Die Entstehungsgeschichte dieses Textes geht zurück auf eine Lehrveranstaltung im Sommersemester 2020 zu Projektmanagement in den Digital Humanities im Masterstudiengang „Digitale Methodik in den Geistes- und Kulturwissenschaften“ an der JGU und Hochschule Mainz.

by Monika Barget In the second edition of Doing digital history with Python , I would like to address word clouds as a visual method of finding patterns in texts (see critical reflection in Basic Text Mining: Word Clouds, their Limitations, and Moving Beyond Them). Word clouds display the frequency or importance of individual keywords in individual texts or entire corpora.

von Thorsten Wübbena [Kontext] Vor ungefähr drei Monaten fand die DHd 2020 „Spielräume: Digital Humanities zwischen Modellierung und Interpretation“ in Paderborn statt und wie jedes Jahr brachte auch diese DHd-Tagung nicht nur Einblicke in aktuelle Forschungsfragen, sondern versammelte eine Community und schaffte Gelegenheiten für Diskussionen.

By Alessandro Grazi It was a cold, sunny, winter morning, and just like every other morning I was standing on a platform of Giessen’s train station. But this time I wasn’t headed to the IEG in Mainz, where I work, but to Innsbruck, Austria. No, the anticipation I felt wasn’t for an exciting skiing weekend on the Austrian Alps (I can’t ski, anyway!), but for the Transkribus User Conference 2020.

At the beginning of March, I went to New Zealand for a research visit with a planned duration of four weeks. This visit was part of a collaboration involving the IEG DH Lab and Te Pūnaha Matatini, a New Zealand centre of research excellence for complex systems and data science hosted by the University of Auckland’s Department of Physics.

by Monika Barget During our DH brownbag lunches at the IEG, colleagues have repeatedly asked us if we could recommend Python packages for digital history. We have therefore set up a list of packages we at the IEG DH Lab are using for the analysis of text (stored, for instance, in XML/TEI or JSON formats), the modelling of historical networks, or the creation of interactive maps.

by Jaap Geraerts Prior to taking up my current position at the IEG, I was based at the Centre for Editing Lives and Letters (CELL) at University College London where I served as the postdoctoral fellow on the digital humanities project “The Archaeology of Reading in Early Modern Europe” (AOR). An international collaboration between CELL, Johns Hopkins University, and Princeton University, the project team, consisting of historians, computer