Project outputs

CLS INFRA TNA Fellow Lou Burnard

In this video CLS INFRA TNA Fellow, Lou Burnard, speaks about his ‘Reviving the Victorian Play’s Project’, which is being hosted by the Moore Institute at NUI Galway, Ireland. 

Deliverable 4.1: Skills gap analysis

We have explored gaps in teaching of research skills for computational literary studies to inform the CLS INFRA project’s own approach to training schools and chart the territory to gain broader insight into current CLS teaching practices. To understand supply we have manually annotated a sample of European university courses in Digital Humanities and summer school workshops. To index demand we set up an online survey to ask the community to evaluate a set of predetermined ‘skills’ based on its perceived future prospects in the field and teaching (1-5 scale response, 118 participants).

The survey also offered a chance to observe the demographic structure of the CLS community. The prevalence of early career respondents indicates a new generational wave within computational literary studies. Participant gender was balanced, although introduction of variables such as career stage, self-reported proficiency, and discipline demonstrated skewness. Researchers who work in the field of CLS also report more experience in computational methods, which suggests that these go hand in hand in current practice. Despite the gap in skills education being more general in nature, we identified areas of heightened interest. These are the skills that make up the backbone of computational research: from designing the study to text collection, to multivariate analysis and statistical modeling. Survey responses reiterated that the current gap in schooling is quantitative rather than qualitative. Moreover, there was a consensus among participants that the institutionalized training of a new generation of researchers is instrumental to disciplinary advancement of CLS.

Download and read the full report here.

Download and view the poster presentation of results here.

Deliverable 3.1: Baseline Methodological User Needs Analysis

The purpose of this task was to identify, document and show-case best practices in CLS research in order to specify infrastructure requirements for the community. The central concerns of our study are data formats, tools and methods most widely mentioned in the publications related to CLS. These findings play an important role also for the training programme within the project, as they show what key qualifications are required for literary studies, what data formats researchers deal with and what methods and tools are especially relevant in the CLS field.

Download and read this report here

Watch a summary of the findings on our YouTube channel

Kraków DH Lunch: the CLS INFRA project

CLS INFRA Principal Investigator, Professor Maciej Eder (IJP PAN) gives a quick tour around the CLS INFRA project for computational literary studies at the Kraków DH Lunch on 11th February 2022.

This special DH lunch introduces the Computational Literary Studies Infrastructure (CLS Infra) project – a multinational European collaboration to connect people, data, tools, and methods, focused on large-scale analysis of literary sources.

D4.1 Skills matrix survey


Researcher profile: Professor Maciej Eder (PI)

In this video, our project’s Principal Investigator Professor Maciej Eder introduces us to the CLS INFRA project and how Computational Literary Studies methodologies and research intersect with his own scholarship and teaching. Make sure to subscribe to our YouTube channel so that you don’t miss our upcoming researcher profiles.