Projects

A primary product of CIDR's work is our portfolio of compelling digital projects that push the boudaries of technology and scholarship.  In many of these projects CIDR staff are proudly collaborating with, and supporting Stanford faculty as they produce ground-breaking research, leveraging digital methods.  Here is a sample of projects in which CIDR is now, or has recently been, engaged. More to come soon!

Palladio Logo

Palladio

Palladio is a web-based platform for the visualization of complex, multi-dimensional data.
Bibliopedia logo

Bibliopedia

A platform for organizing, visualizing, sharing, and searching archives.
Çatalhöyük screen shot

Çatalhöyük Living Archive

Using spatial-temporal visualization and Linked Data to make 20+ years of excavation results accessible.
Kindred Britain Screen Shot

Kindred Britain

A network of 30,000 people, including many iconic figures in British culture, connected through family relationships.
ORBIS screen shot

ORBIS: The Stanford Geospatial Network Model of the Roman Empire

Explore and analyze routes and costs associated with travel and commerce in the Roman Empire. Principal Investigator: Walter Scheidel, Classics
City Nature screen shot

City Nature

Explore and analyze uneven distributions of natural spaces at neighborhood scale in large US cities.
Geography of the Post screen shot

Geography of the Post

Geography of the Post visualized 14,000 postoffices in the 19th century American West. Principal Investigator: Cameron Blevins
Chinese Graves screen shot

Grave Reform in Modern China

This project uses digital tools to analyze and narrate the story of funeral reform and grave relocation. Faculty PI: Thomas Mullaney, History
Authorial London screenshot

Authorial London

Explore literary references to London locations in texts by 47 authors, written over 6 centuries.
R at Stanford Libraries

Learning and Using R at Stanford

Training opportunities, consulting services, documentation, and other resources to support the Stanford community in learning and using the R software