Computer-aided comparison between large textual corpora, first and foremost in the areas of falsafa, ʿilm kalām, and uṣūl al-fiqh, Muslim & Jewish & Christian.

This paper analyses two closely related but different concepts, digitization and digitalization, first discussed in an encyclopedia article by Brennen and Kreiss in 2016. Digital Humanities mainly uses the first term, whereas business and economics tend to use the second to praise the process of the digitalization of society. But digitalization…[Read more]

While the amount of digitally available data on the worlds’ languages is steadily increasing, with more and more languages being documented, only a small proportion of the language resources produced are sustainable. Data reuse is often difficult due to idiosyncratic formats and a negligence of standards that could help to increase the…[Read more]

Social network analysis is typically used where data are complete and all connections within a system are known. However, as other humanities networking projects have discovered, building a network based on historical data means that we are inevitably working with incomplete information. In other words, the lack of connections in our graph…[Read more]

In creating a project to investigate the relationships among members of the Belfast Group, it is important to know exactly what that Group is. Being specific about this when creating our data was critical so we could accurately measure who was connected to this thing we call “the Belfast Group.” But, as often happens with humanities data, it tur…[Read more]

As we worked on this project and looked at various iterations of the data, we noticed something troubling about some of the women we knew were associated with the Belfast Group: while they sometimes appeared central to the network at other times they were completely invisible. What was happening?

Visualization is often the “way in” to our data, both for scholarly analysis and presentation to an audience. However, it is critical to understand the process of visualizing data: who is it for, and what questions does it answer? In this workshop, participants learn how to choose the right visualization for their data, how to prepare their dat…[Read more]

The American Religious Sounds Project, a joint effort from Michigan State University and Ohio State University, has been gathering sound recordings of American religious life since 2014. The project is undertaking a dual process of expanding to other institutions and ingesting the collection into the Vincent Voice Library at MSU.
With thousands…[Read more]

While the amount of cross-linguistic data is constantly increasing, most datasets produced today and in the past cannot be considered FAIR (findable, accessible, interoperable, and reproducible). To remedy this and to increase the comparability of cross-linguistic resources, it is not enough to set up standards and best practices for data to be…[Read more]

By reviewing a recent quantitative study of rhyme patterns in Mandarin Chinese, this study shows how data handling and data analysis in the study of rhyme patterns can be improved. Suggestions for improvement include (a) a consistent annotation of rhyme data, which is exhaustive and facilitates data reuse, and (b) emphasizes the importance of…[Read more]

The author proposes fairy-tale logic as a mode of magical thinking typified by the belief that certain functions, fulfilled correctly and in the right order, lead to predictable outcomes. Mapping similarities in implicit reasoning within “Beauty and the Beast,” the reality television program Beauty and the Geek (2005-08), and the misogynistic nar…[Read more]