[TL;DR]
We seek to understand what are the most sought after computational resources which, if made available, could greatly facilitate and accelerate digital humanities research for the years to come.

[SUMMARY]
Scholars increasingly rely on computational resources such as code libraries and pre-trained models, and initiatives such as shared tasks. Such resources have influenced the direction of research within computational disciplines, including the digital humanities, by facilitating—even boosting—the (re-)use of advanced resources.

The popularity of algorithms such as Word2Vec is partly the result of successful and accessible implementations by libraries like Gensim. More recently, Hugging Face has emerged as a popular framework which has made the use of complex and groundbreaking neural language models, such as BERT, much easier than building everything from scratch. Similarly, pre-trained models in computer vision, such as VGG or ResNet, made available via, e.g., Keras.

We would like to understand which code libraries, pre-trained models or other initiatives, such as shared tasks, are mostly used by the DH community? Furthermore, we seek to understand which not-yet-existing computational resources would be most useful and could have high applicability. We aim to gather a variety of representative viewpoints and share them with everyone who is interested.