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Home: Semiotix 6

Editorial

Guest Column

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State of the Art 1

State of the Art 2

Treasure Chest


A Roadmap for Humanists in the Computing World: A Summary of Humanities Computing
by Willard McCarty

Humanities Computing is an intellectual manifesto for a computing practice that is of as well as in and for the humanities and interpretative social sciences.

1. Historical background to the project.

Although the application of computers to cultural artefacts is nearly coeval with the invention of the physical machine, our realisation of its identity as a semi-autonomous scholarly pursuit is quite recent. During the first half-century of humanities computing, disciplinary turf-polity and its institutional enforcement have kept the practice largely in the role of handmaiden to conventional research. Conceived as no more than a means to an end – the operative phrase is “just a tool” – computing has tended at best to appear as a footnote or afterthought to scholarship. The vigorous growth of computer science meanwhile has not helped directly, since the focus of that field and of the philosophical commentary on it has been ruled by computational theory, whose concern (as Peter Denning put it) orbits the question, “What can be automated?” The humanities are rather focused on what cannot.

Institutionally, humanities computing has passed through these overlapping stages, which reflect its changing identity:

1. isolated researchers, both in conventional academic departments and in the academic demimonde, communicating through lists of “scholars active”, newsletters, journals, heroic attempts at unified bibliographies, the occasional conference and electronic discussion groups (such as Humanist);

2. computing centre help-desks, specialised units within these centres and independent non-academic service departments (sometimes staffed by those with doctoral degrees in the humanities);

3. academic appointments within conventional departments first tolerant of, now more often encouraging specialisation in humanities computing;

4. academic appointments directly in humanities computing, though located in conventional departments;

5. academic departments of humanities computing, with their own academic appointments, teaching programmes and academic-related research staff.

The trajectory from handmaiden to peer, or slave to co-worker, seems indisputable, although at the moment there are too few of the last kind to draw any firm conclusions on the evidence of institutional development alone. But what is the work?

2. The argument

The work: this is the question with which Humanities Computing is primarily concerned. It does not argue from the history of institutions, rather from one scholar’s experience as helper, researcher, observer and collaborator. It engages philosophical, historical, ethnographic, critical and technical perspectives from across the disciplines of the humanities to make sense of experience gained from direct participation in the first, second and fifth of the stages listed above. It forswears the “Real Soon Now” promises of techno-enthusiasm to ask from the perspectives of the humanities, What can we learn now, from current tools, methods and results, about a computing of the humanities? What can we learn about the humanities from the computings we know?

The trajectory I have suggested might seem to imply the emergence of a new discipline, but in the book I argue strongly against such an attempt. Historically the field has arisen as a collective, collaborative response to a situation common throughout the academy. At its core are an emergent set of methods derived from many disciplines, including computer science – a process not yet (if ever) complete, as connections with them are being discovered or made. As a purely methodological practice related to all the disciplines in its purview, working by nature across and with them, humanities computing cannot be simply another discipline. Rather, I argue, it is a scholarly though extra-disciplinary activity, by nature semi-autonomous and collaborative.

3. Chapter summaries

Apart from the Introduction, Humanities Computing has five chapters, as follows.

Chapter 1, “Modelling”, derives from philosophy, especially the phenomenology of Heidegger and Polanyi, and from the philosophy of science, a way of thinking about the role of equipment in the making of knowledge. It proceeds from the indefinitely plastic nature of Alan Turing’s scheme, which allows us to model our ideas of objects or processes in the world, and by comparing model to idea, to learn more about the latter. It argues that the essential mutability of computing foregrounds the manipulability of the models we construct with it, hence that modelling is the semantic lemma that best identifies its essence for analytic work. It also argues from the twin imperatives of computational representation – complete explicitness and absolute consistency – that the gulf between object and model is a permanent if progressively changing fact and a cornucopia of insights into the artefacts we model.

Chapter 2, “Genre”, addresses the synthetic side of humanities computing – its building of scholarly reference works and resources, and the developing idea of the library that contains, organizes and gives access to them. I take as my example the commentary form, and as an historical instance of it, a single passage from E. R. Dodds’ commentary on the Bacchae of Euripides. The rhetorical subtleties of this passage clearly demonstrate the skillful use of both the powers and constraints of the printed medium, with effects we do not yet have the means to imitate in hypertext. The point is not to argue that such imitation should be attempted, rather to spur the development of tools and to underscore the necessity for an historical analysis of the inherited genres. The chapter surveys current work in digital library research, emphasizing the difficulties of interoperability, the limits of metadata and the surprising effectiveness of Google and its ilk. The chapter puts forth the idea of the DIY (do-it-yourself) commentary as a model for the future work a digital library will somehow need to support.

Chapter 3, “Discipline”, considers ways of conceptualizing the disciplinary landscape in which humanities computing makes its way, what sort of an entity it is and how it interrelates with the established fields. As the first chapter was primarily philosophical and the second historical, this one is ethnographic. Its central argument is that humanities computing is to the disciplines as the anthropological participant-observer is to the cultures he or she studies – both motivated by deep and respectful curiosity. Close attention is paid to the vocabulary of disciplinarity and the epistemic metaphors it invokes. Alternative figures of thought are suggested – ones that avoid the common turf-polity of academia, which excludes the kind of thing humanities computing is. An ethnographic method of analysis focusing on disciplinary tropes and imageries of explanation is recommended for the investigative work by which humanities computing establishes connections with the epistemic island cultures in its purview. The term “theory” is examined across the disciplines, from the physical sciences to the humanities, to exemplify the kind of analysis I recommend. A graphical map of humanities computing in relation to the disciplines is used to explicate two kinds of relationship: application, where practitioners interact with scholars in collaborative projects, and research, in which they study, extract and adapt methods from the related disciplines.


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Willard McCarty
King's College London,
UK Willard McCarty (www.kcl.ac.uk/humanities/cch/wlm) is Reader in Humanities Computing at King's College London. Trained in the United States as an undergraduate in physics, German and English at the University of Ca






Links:

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... Continued

Chapter 4, “Computer science”, focuses on one of these disciplines for special treatment. Computer science has an obvious basis for relation to humanities computing, but the links are still mostly potential. The ambition of this chapter is to help actualize that potential through a close look at computer science as a vigorous but complex disciplinary amalgam, with a basis in mathematics and engineering. I pay particular attention to its background in the history of mathematics, especially from Hilbert to Turing, and to the problematic of software engineering. In order to clarify what this amalgam might have to do with humanities computing, I concentrate on its standard account, according to which its focus is on automation (rather than, say, interaction). I examine various attempts to construct a relation between the two fields as well as the growing interest of computer scientists in the data of the humanities. Although the challenging problems of the humanities promise improving exercise for computer science, it is not at all clear that much benefit will come to the humanities, at least not directly, and not in the fundamental way humanities computing sets as its goal.

Chapter 5, “Agenda”, stands as a kind of conclusion to the book, but is not named as such because its project is emphatically ongoing. Thus it concludes with a list of emergent “things that are to be done” (agenda). After a careful pruning of possible items, to exclude areas of overlap with a number of related fields, ten items are recommended. The list is first qualified, however, by questioning the concept of an agenda and its applicability to humanities computing; I argue that any agenda for this field is bound to be both incomplete and partially dependent on the priorities of the disciplines with which it is interlinked. Nevertheless, it does have a very challenging and stimulating list of problems to be worked on, and although these are not of the nature of what can be solved, they promise a most vigorous research programme for the next several decades.