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Over the past decade, collaborative mapping projects have become widespread, allowing for and promoting voluntary participation in cartographic processes. A major factor in the increasing popularity of collaborative mapping in recent years has been the developments in digital cartographic media in general and internet mapping in particular. In this paper the aim is to discuss the possibilities of online collaborative mapping in archaeology. Following an overview of collaborative mapping and its current state in today‘s increasingly online and digital world, four potential modes are introduced through which collaborative mapping in archaeology can be carried out: psychogeography, local community involvement, an online archaeology map system and spatial narratives. Digital Classics Online, Bd. 3,2 (2017)

This article presents one digital approach to ancient numismatics. The proposed methodology maps geo-referenced quantities of coin finds within the platform of Google Earth – a free virtual globe available through the Internet. Especially for the uninitiated scholar, Google Earth efficiently visualizes both the spatial and chronological distribution of thousands of coins and provides an intuitive and interactive space for exploring regional and empire-wide patterns in their movement. While the practical applications of this methodology are many, this article focuses on an ongoing study of Antioch-on-the-Orontes in northern Syria and its regional evolution after Roman annexation. This project draws upon Google Earth as an invaluable first step in synthesizing the wealth of disparate coin data available for the city. After outlining the methodology to achieve such a visualization, this article highlights several promising patterns revealed by Google Earth in the dataset. Digital Classics Online, Bd. 3,3 (2017)

In 2016 and 2017, a series of conferences for European philologists was organized around the question, “What digital services, collections or curricula need to be developed so that a field of study can flourish in a digital society?” This paper argues for the need to cite graphs of data with machine-actionable canonical citation, independently of the data organized by a graph. It describes ongoing work to implement a “Canonical Graph Service” into the CITE/CTS framework used by the Homer Multitext (HMT). It describes citation of graphs, parts of graphs, and sub-graphs by URN, with some examples of how such URN citations might usefully be resolved. Finally, I discuss the limits of this approach, problems that will not be solved by a Canonical Graph Service. This approach may facilitate the creation of generic tools for documenting syntax across languages, integrating data from diverse projects, and opening new areas of research to scholars outside of quantitative fields. Digital Classics Online, Bd. 3,3 (2017)

Digital Classics Online, Bd. 3,2 (2017) -