Fall 2018 Events

Introduction to Digital Humanities - HUM 346 / AMS 348 / LAS 385 / COM 336

Celebrate the start of the year with us as we kick off our Year of Data!! Learn more about CDH projects, meet our staff, enjoy snacks and drinks, and collect your very own limited edition tote bag.

Join the CDH+PUL first "Collections as Data" reading group meeting of the Fall semester. 

This event is co-organized by the McGraw Center for Teaching and Learning

Do you have messy data?

The CDH-PUL Collections as Data Reading Group will meet to discuss the fundamental question: "What Data does PUL Produce"? 

Digital Humanities is all about mixing - computational methods and humanist questions, humanist approaches and technological innovation, and, of course, drinks!!

Data is not neutral. The ways in which it is gathered, curated, analyzed, described, stored, and communicated all serve as opportunities for bias. “Who Counts?: A Symposium on Intersectional Data” offers a forum for uncovering and analyzing the ways in which data practices—particularly those that abstract and classify individuals—replicate existing inequalities and institutionalize bias. It focuses on gaps, blanks, and absences and asks what might be done to foster practices at every stage in the data lifecycle that engage and represent the full spectrum of society.

The CDH-PUL Collections as Data Reading Group will meet the third time to discuss the question: "Who Creates the Data?"

Wikidata is an open-source, multilingual repository for structured data, readable by both humans and machines. It acts as central storage for the structured data of its Wikimedia sister projects (like Wikipedia, Wikivoyage, Wikisource, etc.), and provides support to many other sites and services beyond Wikimedia, making it possible to create, collect, curate, and share data.

Do you need help keeping your data under control? Are your struggling to find the right terms, keywords or tags? Does your data contain ambiguous or unknown dates, places whose names changed over time, or multiple names or spelling variants for a single person or subject?  Data problems like these are typical for humanities projects.

Digital Humanities is having a “job market moment.” This panel brings together recent PhDs working in various capacities to discuss the opportunities, challenges and realities of jobs in DH. Topics covered include: getting DH experience during grad school, navigating the DH job market, post-docs, publishing DH work, and “#alt-ac” DH careers in libraries and DH centers.  Panelists:Grant Wythoff, Visiting Fellow, Center for Humanities and Information, Penn StateAndrew Janco, Digital Scholarship Librarian, Haverford CollegeJennifer Garcon, CLIR postdoc and Bollinger Fellow in Public and Community Data Curation, University of PennsylvaniaAnne Savarese, Executive Editor (Literature), Princeton University PressRebecca Munson, Project and Education Coordinator, Center for Digital Humanities, Princeton

Data Conversations are informal exchanges among faculty and graduate students with DH experience that address broad questions concerning research data in the humanities and social sciences. They include topics like: defining “data” in your field; what not to do with your data; what to know before you go to an archive. Participants will speak from experience and provide discipline-specific perspectives for DH newcomers.

This work-in-progress talk will present the Visualizing St. Petersburg project, an open-source-software-based web application containing historical and cultural heritage data about key landmarks of St. Petersburg, Russia. With input from scholars of history, library science, cultural studies and information technologies, the project team has conducted semantic analysis on a large, multilingual textual corpus that includes memoirs, documentaries and periodicals, and uses Text Encoding Initiative (TEI) to encode information about people, relationships, and events, and Uniform Resource Identifiers (URIs) to identify locations. All landmarks are being mapped onto an interactive city map of St. Petersburg with a user-friendly interface to facilitate easy navigation and filtering.

 

The CDH is proud to be co-sponsoring 'Reading Matters',  a three-day conference convening in Princeton,  that brings together luminary scholars from the fields of the sciences, humanities, and design, to propose and discuss diverse and interdisciplinary methods for reading practices. The conference is free and open to the public. Registration is recommended, as seating is limited.

On Wednesday December 5, the Collections as Data Reading Group will discuss ethical aspects of working with data. We'll ask: 

In Algorithms of Oppression: How Search Engines Reinforce Racism Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination is a real social problem; Noble argues that the combination of private interests in promoting certain sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a biased set of search algorithms that privilege whiteness and discriminate against people of color, specifically women of color.

The Just Data Lab: Reimagining and Retooling Data for Justice workshop is organized into three panels, each focusing on a different social arena - housing, policing, and education - that draw on data from the Eviction Lab, Mapping Police Violence, and the Baltimore Equity Toolkit and Powermapping, respectively.