Digital Humanities
@ Pratt

Inquiries into culture, meaning, and human value meet emerging technologies and cutting-edge skills at Pratt Institute's School of Information

Category: Resources

Skillshare: Approach and Introduction to Python

[iframe src=”” width=”560″ height=”315″] The video above serves as a personable introduction to the coding language python which will be elaborated on below.   This serves and a basic introduction to python, the coding language. Python is a great source tool for the someone not specifically code-literate to analyze data. It works especially well with many file formats which you…

Event Review: Open Access Symposium 2017 “Open In Order To…”

October 27, 2017   What is it?   Stony Brook Open Access Symposium is an annual event to promote Stony Brook University’s Open Access materials, and publishing. It is also an opportunity to highlight the effort from the SUNY system- (State University of New York) to become more open friendly in the fields of specifically research and education tools. The…

Event Review: Standardizing Museum Provenance for the Twenty-First Century

[youtube–o?ecver=1] “Standardizing Museum Provenance for the Twenty-First Century” was a lecture that took place at the Yale Center for British Art on February 27th in New Haven, Connecticut. The lecture was centered on the Carnegie Museum of Art’s (CMOA) NEA-funded Art Tracks project. Art Tracks is a digital provenance project that “turn[s] provenance in to structured data by building…

EVENT REVIEW: “Digital Humanities Meets Art Galleries” at NYU Center for Humanities

The “Digital Humanities Meets Art Galleries” panel at the NYU Center For Humanities brought forth five NYU faculty for four presentations about separate ongoing digital projects that highlight the school’s work in the DH field. The presentations touched on topics spanning algorithmic data visualization of painting canvases, digital collection management, database building, and DH pedagogy among others. This post discusses in detail the contents of each presentation, what each presentation revealed about how NYU has positioned DH within its broader curriculum, and the ongoing conversation about not only what DH projects look like but also what DH essentially is.

Social Media Scraping for Qualitative Data Analysis at NYCDH Week 2017

  In her chapter in Digital Humanities in the Library: Challenges and Opportunities for Subject Specialists, Caro Pinto discusses the evolution of the traditional solitary work of humanities scholars to the collaborative nature of the majority of digital humanities projects. Pinto cites consortiums such as the Tri-Co Digital Humanities Initiative and Five Colleges DH as particularly successful examples of cross-institution…

NYCDH Week 2017: “The Pedagogy of DH: A Conversation” with Kimon Keramidas and Marion Thain on Friday, February 10, 2017 at NYU’s John W. Draper Interdisciplinary Master’s Program

On Friday, February 10 at 10am, Kimon Keramidas and Marion Thain held a conversation on the Pedagogy of DH in response to a lack of pedagogical discourse in current digital humanities conversations. This event was part of a series of workshops during NYCDH Week 2017. Kimon and Marion began the conversation with detailing the structure of their respective DH courses, which emphasized how inherently interdisciplinary DH is, and demonstrated effective pedagogical approaches. Attendees were then encouraged to join in the conversation where the importance of collaboration was explored, approaches to assessment from critical reflective thinking to aesthetic , and best practices for incorporating DH without technical or institutional support were highlighted.

“Introduction to Scalar” with Shawn Hill at Fordham University

On Tuesday, February 7, Shawn Hill taught a workshop entitled “Introduction to Scalar” at Fordham University’s Lincoln Center campus. Scalar is an interactive online publishing platform that allows authors to develop several paths of reading for their users. This platform offers new methods of publishing information, no longer limited to a single, linear reading but instead open to forks in…

Machine Learning: A Primer: A DH Review

Machine Learning: A Primer Speaker: Achim Koh CUNY Graduate Center Today, many critics push to make our algorithmic world transparent, to remove the cover on “black box” machines and expose and deconstruct the systems by which these computers run. The scope of this feat, itself, appears daunting, algorithms lain in dense webs and expressed in arcane and protected jargon, yet…