DITLab focuses on text-based methods, data-intensive research (collection, processing and computational analysis of large datasets) and the long-term development of methodological expertise and teaching. We analyse large bodies of text using corpus-based methods and Natural Language Processing (NLP), bringing together expertise from different fields in areas such as text mining and topic modelling. We also focus on the use, application and development of Large Language Models (LLMs) and deep learning algorithms (neural networks) in research and teaching, as well as data visualization and network analysis.