Histonets: From Maps to Networks
with Scott Bailey & Javier de la Rosa at 3:00 pm
As scholars turn to images for research, extracting operational data from them can often be a time consuming and error prone task. Primary research data for historical road networks can be obtained from images and often times is manually extracted. This demo will show Histonets, an open-source tool, developed here in the Center for Interdisciplinary Digital Research, to solve these problems by providing a semi-automated way for users to extract road network data from historic maps.
Scott Bailey is a research developer in the Center for Interdisciplinary Digital Research. He is particularly interested in different forms of computational text analysis, but enjoys supporting any type of innovative digital research in the humanities and social sciences. Apart from his software development work, he studies philosophical theology, with particular attention to issues in theological ontology in light of contemporary continental philosophy.
Javier de la Rosa is a research engineer at the Center for Interdisciplinary Digital Research, a unit of the Stanford University Libraries focused on digital scholarship at the intersections of Humanities, Social Sciences, and Computer Science. He holds a PhD in Hispanic Studies and a MSc in Artificial Intelligence. His work and interests span from cultural network analysis and computer vision, to text mining and authorship attribution in the Spanish Golden Age of literature