Roman Studies: Interdisciplinary Approac Latin on Stone: Epigraphic Research and Electronic Archives, (Hardcover)

Latin on Stone brings together epigraphy scholars on both sides of the Atlantic, highlighting both their research in the field of ancient Latin inscriptions and the electronic technology of which they make use. These interdisciplinary essays reflect a contemporary reality, in which the possibilities and necessities of using modern electronic aids for research on ancient inscriptions can produce very differing results. Databases are an ideal means of making primary sources accessible and allowing scholars to draw well-founded conclusions in a short space of time, but their usefulness depends, of course, on the quality and accuracy of the data entered into them. The trend towards cooperation has been increasingly evident, in Latin epigraphy at least, over the last few years.

Alongside these complex synergies, on the rise are interdisciplinary associations based on web-based data transfer. All of the new visions and achievements discussed in the volume can only be fully realized, however, if the traditional roots of epigraphy are maintained. Rather than being blinded by a sort of "electronic madness," scholars must recall the rich heritage of epigraphic transmission as a source of information that has yet to be exhausted. This volume is not only a plea for an increased use of modern (electronic) technology but also a warning against putting trust solely in such technology. It should come as no surprise, given the continuing process of globalization, that the contributors are drawn from both Europe and America. Each scholar is engaged in an attempt not only to scrutinize epigraphic culture afresh, but also to search for common denominators among such a variety of material. Their efforts will increase the diversity of the cross-linking of, and the search possibilities in, the data provided by epigraphic source material. It is a matter of strengthening, increasing, and contextualizing both the epigraphic sources and the data decoded from them.