For some time now I've been saying that a convergence between computational criticism and cognitive science is a "natural", particularly the computational side of cognitive science, where the mind as conceived of as involving computational processes [1]. It's beginning to happen, at last.
The Data Science Institute and the Insight Centre for Data Analytics have announced the 1st Workshop on Cognitive Computing Methodologies for the Humanities to take place on December 6, 2018 at the National University of Ireland in Galway. Here's a list of potential topics from the CFP:
- 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.
Check the CFP (link above) for dates and other information.
[1] See e.g.: William Benzon, Digital Criticism Comes of Age, Working Paper, December 2015, https://www.academia.edu/19414113/Digital_Criticism_Comes_of_Age.
William Benzon, From Canon/Archive to a REAL REVOLUTION in literary studies, Working Paper, December 2017, https://www.academia.edu/35486902/From_Canon_Archive_to_a_REAL_REVOLUTION_in_literary_studies.
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