News

In the arts and humanities, the use of computational, statistical, and mathematical approaches has considerably increased in recent years. This research is characterized by the use of formal methods and the construction of explicit, computational models. This includes quantitative, statistical approaches, but also more generally computational methods for processing and analyzing data, as well as theoretical reflections on these approaches.

Despite the undeniable growth of this research area, many scholars still struggle to find suitable research-oriented venues to present and publish computational work that does not lose sight of traditional modes of inquiry in the arts and humanities. This is the scholarly niche that the CHR conference aims to fill. More precisely, the conference aims at

1. Building a community of scholars working on humanities research questions relying on a wide range of computational and quantitative approaches to humanities data in all its forms. We consider this community to be complementary to the digital humanities landscape. We actively seek, welcome, and encourage people with diverse backgrounds, experiences, and identities to join. This includes, but is not limited to, scholars from underrepresented groups, different academic paths, and those who are contributing novel perspectives to the computational humanities landscape.
2. Promoting good practices through sharing “research stories”. Such good practices may include, for instance, the publication of code and data in order to support transparency and replication of studies; pre-registering research design to present theoretical justification, hypotheses, and proposed statistical analysis; or a redesign of the reviewing process for interdisciplinary studies that rely on computational approaches to answer questions relevant to the humanities.

TOPICS OF INTEREST

We invite original research papers from a wide range of topics, including – but not limited to – the following:

• Applications of statistical methods and machine learning to process, enrich and analyse humanities data, including new media and cultural heritage data;
• Hypothesis-driven humanities research, simulations and generative models;
• Development of new quantitative and empirical methods for humanities research;
• Modeling bias, uncertainty, and conflicting interpretation in the humanities;
• Evaluation methods, evaluation data sets and development of standards;
• Formal, statistical or quantitative evaluation of categorization / periodization;
• Theoretical frameworks and epistemology for quantitative methods and computational humanities approaches;
• Translation and transfer of methods from other disciplines, approaches to bridge humanistic and statistical interpretations;
• Visualisation, dissemination (incl. Open science) and teaching in computational humanities.
• Potential and challenges of AI applications to humanities research.
• To gain further insight into paper topics, please also refer to the proceedings of previous years: CHR2020, CHR2021, CHR2022, CHR2023 via the CHR website.

VENUE

The 2024 edition of the Computational Humanities Research conference will be hosted by DIGHUMLAB and Center for Humanities Computing, Aarhus University. The conference will be a hybrid event with an option to attend in person in Aarhus, virtually, or a combination of the two. More details will follow soon.

IMPORTANT DATES

• Submission deadline: July 8, 2024
• Notification to authors: September, 2024
• Final papers ready: October, 2024
• Conference: December 4 – December 6, 2024

SUBMISSION TYPES

• Long Papers
• Short Papers
• Lightning Talks
• Workshops

For more details please visit CHR2024