News and blogs

Recently, I worked with Cécile Alduy, Professor of French, and SUL's Nicholas Taylor and Sarah Sussman to use SUL's Web Archiving Service to generate a corpus of French political websites that we text-mine. The results informed Alduy's latest book, Ce qu'ils disent vraiment: Les politiques pris aux mots. Now, I've written up the details of this process, which you can read on my website.

How can we best make sense of the digital strands and data that comprise a 21st century life? Explore innovative solutions to this challenge and others facing both individuals in the digital age, and scholars in the cultural heritage and digital humanities sectors, at the Personal Digital Archiving (PDA) 2017 Hackathon. The Hackathon is sponsored by Stanford University Libraries and will be held from March 31 - April 1, 2017 at the Jen-Hsun Huang Engineering Center on the Stanford University campus.

Authorial London screenshot

Authorial London, one of the latest and greatest in a series of interactive scholarly works developed in the Stanford Libraries, is going on the road this month.  Karl Grossner, research developer in the Center for Interdisciplinary Digital Research (CIDR) and principal architect and developer of Authorial London, will be traveling to Kraków, Poland to present the project at Digital Humanities 2016, the largest international conference in the DH world.  He'll be co-presenting with Kenny Ligda, an instructional designer in the Digital Learning Design Team of the Vice Provost for Teaching and Learning (VPTL) at Stanford.

Earlier this month news agencies around the world began releasing stories based on the largest leak of documents ever, the Panama Papers (https://panamapapers.icij.org/). The data visualization tool that  journalists used to uncover connections between people, accounts, shell companies, and assets in this massive data set originated at the Humanities + Design (http://hdlab.stanford.edu) research lab in Stanford’s Center for Spatial and Textual Analysis (http://cesta.stanford.edu) — a product of humanities thinking applied to network analysis.