ACO*HUM Formal Methods in the Humanities

Computing in Humanities Education: A European Perspective

http://helmer.hit.uib.no/AcoHum/book/

Chapter 2

European studies on formal methods in the humanities

http://helmer.hit.uib.no/AcoHum/fm/fm-chapter-final.html

2.3 Defining humanities computing methodology

2.3.1 Computing as a theoretical discipline

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The following section tries to clarify what we can actually say about the relationship between computer science and the humanities

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Leaving aside these subtle shades, for the purpose of a short introduction, the core of all applied computer sciences is more than the sum of its intellectual ancestors, which may themselves be inextricably associated with particular knowledge domains.  Instead, we will attempt to define the core in terms of the traditional combination of data structures and algorithms, applied to the requirements of a discipline:

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the preceding paragraphs do lead to a few practical conclusions [...]

We conclude that it is pointless to teach computer science to humanities scholars or students unless it is not directly related to their domain of expertise. [...]

We conclude that humanities computing courses are likely to remain a transient phenomenon,unless they include an understanding of what computer science is all about.

2.3.2 On the roles of computing courses in the humanities

To what extent do the above definitions reflect what is actually going on at European universities?  To answer this question, we propose to group the teaching and research carried out at the various institutions surveyed into three new categories, using a more abstract typology than the one used earlier in this chapter:
  1. Humanities Computer Literacy.  A very large number of courses at European universities are dedicated to the provision of basic computational skills for Humanities students.  These will usually be geared towards specific disciplinary needs: A student of Russian needs to know how to write, display and print Cyrillic.  As long as they are related to skills only, they do not influence the way in which scientific results are gained.  At this level we are simply talking about the application of tools.
  2. Humanities Computing.  A much smaller number of courses, and a substantial number of research projects, use computationally based methods (like data base technology) or computationally dependent ones (like statistics) to gain scientific results, which could not be gained without the tools employed.  At this level, therefore, we talk about the application of methods.
  3. Humanities Computer Science.  An even smaller number of courses and projects, finally, deal with the study of computational methods themselves, aiming at their improved understanding, without claiming directly to gain a new insight in the discipline.  They are involved with the development of methods.

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