Humanities Data Teaching Fellows
Call for Applicants: Humanities Data Teaching Fellows
Due: February 12, 2021
Info Session: January 27, 2:00 pm
In order to develop new humanities-focused curricula for data and computer science undergraduates, the Humanities Computing Curriculum Committee (HC3) seeks to hire three Princeton PhD students as Humanities Data Teaching Fellows. These Fellows will be invited to bring their humanities subject expertise to a pathbreaking data sciences curriculum development initiative.
Each Humanities Data Teaching Fellow will receive a stipend of $5,000 and serve from March to August 2021. They will work with the Center for Digital Humanities to develop humanistic course modules for the popular undergraduate course “Introduction to Data Sciences” (SML 201), offered by the Center for Statistics and Machine Learning. Humanities Data Teaching Fellows will gain insight into basic data visualization and analysis topics covered in SML 201, hone their curriculum development skills, and apply their skills and training as humanists in innovative ways.
Fellows are expected to devote between 8-10 hours per week throughout their appointment. During the Spring 2021 semester, the Fellows must be available for once-monthly check-in meetings where they will discuss recent scholarship in humanities computing. The Fellows will also follow along with SML 201 in order to familiarize themselves with the course, and meet with SML 201 faculty three to four times throughout the term.
Over the summer, Fellows will work independently to develop course modules based in their subject expertise. They will meet with CDH staff once a month to discuss progress on those modules. Finally, Fellows may have the opportunity to deliver a guest lecture / precept in SML 201 during the Fall 2021 semester, teaching the module they have developed.
Each Fellow must be an enrolled student at Princeton during the term of their fellowship (through Aug. 2021), and is responsible for confirming their eligibility with their department DGS and assuring compliance with the Graduate School Employment Policy before applying.
The successful candidate will have research expertise that bridges humanistic and computational methods. Experience with the use of humanities datasets (e.g. textual, spatial, demographic, or numerical) is preferred. We are especially interested in scholars whose work engages in GIS and spatial humanities, text analysis, data curation, cultural analytics, and collaborative research.
Please send 1) your CV, 2) a one-page cover letter describing your research experience with or interest in humanities computing, and 3) a brief description of a dataset related to your field that you would like to explore integrating into one or two SML 201 lectures. Whether it is geographic locations, birth and death dates, postal metadata, or plain text, what might those students find in the data? Send all materials by Friday, February 12, 2021 to email@example.com.
The Humanities Computing Curriculum Committee (HC3) is a joint venture of technologists, humanists, and administrators across Princeton who seek to integrate methods from the humanities with computer and data science in the undergraduate curriculum. Emerging methods in data science promise new insights into human history and culture, and the humanities are vital to developing and applying socially responsible technology in the world today.
An info session on the Fellowship will be offered on Wednesday, January 27 at 2:00 pm. Click here to register.
These positions are generously funded by a Magic Grant from the Princeton Humanities Council.