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Topotime: A data model and D3 layout for historical time

I was pleased to participate in the Hestia2@Stanford event held December 4-5, 2013 at Stanford’s Center for Spatial and Textual Studies (CESTA). The program, titled Visualizing Complex Networks,  included several researchers from Stanford as well as a couple of digital humanities initiatives in nearby San Francisco. The plan was to share progress and prospects for some local projects that “explore network analysis and uncertainty in data from a number of different perspectives,” touching on topics and methodologies related to the Hestia project.

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Networks, visualizations, and the space-time conundrum

Back in November Hestia2 held its second seminar in a place where the sun really does always shine (see below): Stanford, California. There was a very good reason, in addition to being able to wear a t-shirt in November, for holding a seminar on Digital Humanities in Stanford. With its campus in Palo Alto, Stanford shares a location with a number of high-tech household names, including Apple, Google and Facebook, while smaller start-ups in the San Francisco Bay Area are but a short Caltrain ride away. One of these, Farallon Geographics, has recently worked with the Getty Conservation Institute and World Monuments Fund, to produce an open-source, web-based, geospatial information system for cultural heritage inventory and management, called Arches, showing the massive potential for collaboration between private digital enterprise and the public cultural sector, including higher education.

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