Meeting Description:

Co^2Hum aims to bring together researchers from information technology, human sciences and psychological sciences to inform on the potential of cognitive computing in the Arts and Humanities. Human sciences retain a strong presence of human decision in original research, as in the profiling of historical figures or landscapes, which in turn relies on the availability of evidence in one form or another, and therefore their systematic accumulation. With its methodological objective of bringing human-like intelligence to a number of human-based tasks, cognitive computing is being proposed as a way to bridge this gap for the human scientist. The reproduction of cognitive processes in computers can be a valuable aid to interpret and understand, for instance, the literary and linguistic phenomena that are typical of human cognition.

Cognitive computing techniques are not only a cross-disciplinary resource but also a potential for valid support to investigation, which is still largely untrodden ground in the Humanities.

Co^2Hum welcomes original research contributions demonstrating the application of cognitive computing techniques to the Humanities. Scholars who have conducted research or developed impactful applications are invited to submit full papers with appropriately evaluated contributions. Co^2Hum also welcomes short vision or position papers on novel challenges or approaches to existing problems.

Call for Papers:

Topics on which contributors are invited to send proposals include, but are not limited to:

- Computational psychological profiling of artists and authors alike.
- Automatic identification of psychological traits of fictional figures (including fictionalised/romanced actual figures) in literature.
- Formal models connecting sociological and psychological traits of figures in literature and visual arts.
- Modeling of knowledge acquisition from narrative texts.
- Quantitative (e.g. statistical, computational, machine learning) methods for cognitive analysis in literature or poetry.
- Cognitively inspired Machine Learning for literacy and poetry.
- Computational theories of narrative and poetry literature.
- Computational and cognitively-inspired models for literature.
- Identification of cultural and linguistic phenomena throughout history.
- Computational creativity for the generation and understanding of poetry and romance.

Submissions in all the categories mentioned above (both full and short papers) will be peer-reviewed by acknowledged researchers familiar with both scholarly communities.


- Important Dates

Submission deadline: Monday, October 22, 2018 (strict)
Notification to authors: Tuesday, October 30, 2018

(The above deadlines are 23:59 UTC)

Workshop day: December 6, 2018 (to be confirmed)


- Submission Instructions

Submissions will be evaluated according to their significance, originality, technical content, style, clarity, and relevance to the workshop.

We welcome the following types of contributions:
- long paper (up to 1,500 words)
- short paper (up to 800 words)

All submissions must be PDF documents, written in English and complete with references. Word limits are not inclusive of references. We recommend that submissions be formatted according to the MLA style [ https://owl.purdue.edu/owl/research_and_citation/mla_style/mla_formatting_and_style_guide/mla_formatting_and_style_guide.html ]

Proposals must be submitted through the EasyChair Conference Management System [ https://easychair.org/conferences/?conf=co2hum ]