Call for Papers is now open now for the first Data Practices Conference & Challenge workshop on October 2 and 9, 2020. Registration opens later in September.
join Stanford Libraries, the Center for Spatial and Textual Analysis, and Stanford Data Science for talks and discussions around the intersection of data science, the humanities, and information science.
Data science has made significant advances in computational and mathematical tools to organize and analyze data, recognize patterns and make predictions at scale. The digital humanities are also concerned with scale, but focus on the problem from a different angle: How do we reduce rich, layered and uneven, historical and literary sources into data representations that are ripe for computation? Libraries and archives that produce metadata, define collections, and trace provenance, all to provide meaningful context, are in need of more powerful tools to support the production of new knowledge.