About

The CyberText Technologies Project, headed by Professor Elaine Treharne, was funded by Stanford University School of Engineering CyberInitiative. We have been cataloguing the history of dominant text-based human communication devices in an effort to identify common traits. These determinable traits could theoretically be used predictively to assess which modern-day technologies are most likely to succeed and what paths imminent text technologies may take. The project is responsible for creating a series of standardized measuring tools and schemas for analysis of these objects, as well as case-study databases for dominant text technologies ranging from Cuneiform tablets to medieval manuscripts to modern-day print. From our databases, machine-learning assesses the patterns that will help in forecasting the future of text technologies.