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Digital Humanities

A Wenzhou-Kean University 2018 Student Partnering with Staff (SpS) Research Program Project, A Pathway to Digital Humanities, seeks both to gauge and stimulate interest in digital humanities.

What is visualization and data design in digital humanities ?

Currently, visualization in the humanities uses techniques drawn largely from the social sciences, business applications, and the natural sciences, all of which require self-conscious criticality in their adoption. Such visual displays, including graphs and charts, may present themselves as objective even unmediated views of reality, rather than a rhetorical constructs.

Visualizations in the Digital Humanities takes several different forms. of which are evaluated in terms of the rhetoric of information design and display:

  1. The expression of quantifiable or quantitative information in graphic form, such as bar and pie chart.
  2. Visualizations of data derived from large-scale data sets such as social networks, digitized corpora, and demographic data.
  3. Experiential visualization uses movement through the time and space of a three-dimensional world as the primary mode of engagement such as creating a Chinese ancient relics or the Roman Forum

Visualization has the power to unleash imaginative and conceptual potential. As with so many aspects of digital work, these technologies are intertwined with traditional methods. Knowing what and how to read the visualized forms is at the basis of digital literacy and the assessment of meaning in there new formats.

SOURCE: Burdick, A., Drucker, J., Lunenfeld, P., Pressner, T., & Schnapp, J. (2012). Digital Humanities. Cambridge, MA: Massachuetts Institute of Technology. Retrieved from https://mitpress.mit.edu/books/digitalhumanities

Videos on Humanities Data Visualization & Data Design

WKU/Kean Books on Visualization and Data Design

Interactive Data Visualization

An Updated Guide to the Visualization of Data for Designers, Users, and Researchers Interactive Data Visualization: Foundations, Techniques, and Applications, Second Edition provides all the theory, details, and tools necessary to build visualizations and systems involving the visualization of data. In color throughout, it explains basic terminology and concepts, algorithmic and software engineering issues, and commonly used techniques and high-level algorithms.

Visual Storytelling

The use of powerful graphics and illustrations will capture the viewer's attention and interest, and by burying boring data creatively, strong graphics will provide a clever and compelling visual story that's driven by accessible and clear communication. This book introduces the developmental history and characteristics of data journalism, describing its classification and the features of journalism published by world-renowned media.

Presenting Data Effectively

The book guides students, researchers, evaluators, entrepreneurs, and non-profit workers--anyone reporting data to an outside audience--through design choices in four primary areas: graphics, text, colour, and arrangement. Examples of good communication in various reporting mechanisms, such as posters, PowerPoint and online presentations, and reports, introduce readers to best practices material. Ancillaries Access helpful tools and resources all in one place