Digital Philology is a new peer-reviewed journal devoted to the study of medieval vernacular texts and cultures. Digital Philology encourages both applied and theoretical research that engages with the digital humanities and shows why and how digital resources require new questions, new approaches, and yield radical results.
The Humanities High Performance Computing Collaboratory (HpC) is a summer institute Funded by the National Endowment for the Humanities. The Humanities High Performance Computing is for graduate students and faculty who are conducting scholarship in the digital humanities.
The Alabama Digital Humanities Center at the University of Alabama is pleased to invite applications for a post-doctoral fellowship in Digital Humanities. The fellowship offers the successful candidate a unique platform for professional advancement: financial and material support for independent research combined with the opportunity to play an instrumental role in nurturing the growing digital humanities community at the University of Alabama.
First and foremost, digitization of natural history collections and tools to make these digitized records available, such as VertNet, support global biodiversity research. We suspect that the majority of use of digitized records will be to generate products such as species distribution models and change assessments, and to answer questions about what is in any given museum collection. However, in the broader context of academic endeavor, these data could also serve as a unique link between the digital sciences and the digital humanities. Work in the digital humanities includes everything from crowdsourcing manuscript transcription to humanistic fabrication to data mining — work that is not so dissimilar in method, description, or data type from that in the digital sciences.
The digital humanities in the West, has been biased towards text as the bearer of culture. The foundational stories and early concerns of computing in the humanities are around concording and text analysis. Humanities computing has branched out to digitize other cultural forms, but even so we tend to focus on digitizing and creating databases of tangible cultural artefacts like paintings, archaeological sites, movies, and so on. By contrast, as I have written before, in Japan a large percentage of the traditional arts from the Bunrako to Noh are in the class of intangible cultural property. Intangible cultural traditions are supported aggressively in Japan through support to individual masters and organizations to support for preservation activities.
By Jon Bruner
Close to 40 million Americans move from one home to another every year. Click anywhere on the map below: blue counties send more migrants to the selected county than they take; red counties take more than they send. More about the map.
California State University, Long Beach is hiring a Tenure Track-University Library position responsible for Digital Archives and Special Collections.
The Institute of Museum and Library Services (IMLS) is funding fellowships for the project “Educating Stewards of the Public Information Infrastructure” or ESOPI2.
Please take action! If you aren’t already sharing works under a CC license and supporting our work, now is a good time. Bad legislation needs to be stopped now, but over the long term, we won’t stop getting new bad legislation until policymakers see broad support and amazing results from culture and other forms of knowledge that work with the Internet, rather than against it. Each work or project released under a CC license signals such support, and is an input for such results.
According to Google Scholar, David Blei’s first topic modeling paper has received 3,540 citations since 2003. Everybody’s talking about topic models. Seriously, I’m afraid of visiting my parents this Hanukkah and hearing them ask “Scott… what’s this topic modeling I keep hearing all about?” They’re powerful, widely applicable, easy to use, and difficult to understand — a dangerous combination.
Since shortly after Blei’s first publication, researchers have been looking into the interplay between networks and topic models. This post will be about that interplay, looking at how they’ve been combined, what sorts of research those combinations can drive, and a few pitfalls to watch out for.
