Lecture

A Critique of Digital Humanities

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Description

This lecture delves into the theoretical focus on culture's autonomy, the shift in normative meaning, and the impact on cognition. It explores Immanuel Kant's 'Copernican turn' and the concepts of 'Digital Hermeneutics', 'Beyond Expression', and 'Data Work vs Interpretation'. The discussion extends to the critique of computational and cultural aspects in Digital Humanities, emphasizing the complexities of data exploration and statistical methods in literary studies.

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Related concepts (25)

Literary criticism

Literary criticism (or literary studies) is the study, a genre of arts criticism, evaluation, and interpretation of literature. Modern literary criticism is often influenced by literary theory, which is the philosophical discussion of literature's goals and methods. Though the two activities are closely related, literary critics are not always, and have not always been, theorists. Whether or not literary criticism should be considered a separate field of inquiry from literary theory is a matter of some controversy.

Literary theory

Literary theory is the systematic study of the nature of literature and of the methods for literary analysis. Since the 19th century, literary scholarship includes literary theory and considerations of intellectual history, moral philosophy, social philosophy, and interdisciplinary themes relevant to how people interpret meaning. In the humanities in modern academia, the latter style of literary scholarship is an offshoot of post-structuralism.

Computational science

Computational science, also known as scientific computing, technical computing or scientific computation (SC), is a division of science that uses advanced computing capabilities to understand and solve complex physical problems. This includes Algorithms (numerical and non-numerical): mathematical models, computational models, and computer simulations developed to solve sciences (e.

Computational physics

Computational physics is the study and implementation of numerical analysis to solve problems in physics. Historically, computational physics was the first application of modern computers in science, and is now a subset of computational science. It is sometimes regarded as a subdiscipline (or offshoot) of theoretical physics, but others consider it an intermediate branch between theoretical and experimental physics - an area of study which supplements both theory and experiment.

Computational chemistry

Computational chemistry is a branch of chemistry that uses computer simulation to assist in solving chemical problems. It uses methods of theoretical chemistry, incorporated into computer programs, to calculate the structures and properties of molecules, groups of molecules, and solids. It is essential because, apart from relatively recent results concerning the hydrogen molecular ion (dihydrogen cation, see references therein for more details), the quantum many-body problem cannot be solved analytically, much less in closed form.

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