TAPI is led by JSTOR Labs, developed alongside Constellate, a text analytics platform.

Instructor Bios

Sylvia Fernández Quintanilla

Sylvia
Sylvia Fernández is an Assistant Professor with the Digital Technology Program at Washington State University. She has taught courses in English and Spanish about Digital Storytelling, Humanities Data, Mapping and Visualizations and Digital Humanities with a focus on Borderlands, Latinx, Latin American and Feminist Studies. Among her digital humanities scholarship, she has been part of the creators of transnational projects such as Borderlands Archives Cartography, Torn Apart/ Separados, United fronteras, and Huellas Incómodas. Her research interest are at the intersection of border literatures, cultures and languages, archive studies, geohumanities, intersectional feminist studies and global digital humanities.

Grant Glass (UNC Chapel Hill)

Grant
Grant is a Ph.D. candidate in English and Comparative Literature at the University of North Carolina at Chapel Hill, studying applications of ML/AI on tracing literary adaptations across the 18th and 19th century. He is also a Graduate Fellow of the Carolina Digital Humanities Initiative, Project Manager of the William Blake Archive, and is an Engineering Program Manager at NetApp where he uses NLP techniques to evaluate technical writing documentation.


Nathan Kelber, Ph.D. (JSTOR Labs)

Nathan
Nathan is the Constellate Education Manager for JSTOR Labs and the director of the TAP Institute. He teaches text analysis for the benefit of the Constellate community.


William Mattingly, Ph.D. (Smithsonian Data Science Lab)

William
William Mattingly is a Postdoctoral Fellow for the Analysis of Historical Texts at the Smithsonian Institution Data Science Lab in collaboration with the United States Holocaust Memorial Museum (USHMM) and 2022 Harry Frank Guggenheim Distinguished Scholar. At the Smithsonian and USHMM, he is developing a machine learning pipeline for automatically processing and cataloging hundreds of millions of Holocaust documents. He also maintains PythonHumanities.com which makes Python lessons freely accessible to digital humanists.


Rubria Rocha De Luna

Rubria

Rubria Rocha de Luna is the Founder and Director of Redes, migrantes sin fronteras which is a non-profit digital initiative that connects migrants with support associations. She completed her PhD in Hispanic Studies with a Graduate Certificate in Digital Humanities from Texas A&M University. She was a Research Assistant at the Center of Digital Humanities Research (CoDHR) where she collaborated in projects suc as: 18thConnect, ASECS and The Cervantes Project. Also, she has participated in DH projects such as United fronteras, Torn Apart/ Separados and Humanizing Deportation. She specializes in quantitative methods to approach cultural narratives and social media posts. Her current research revolves around digital rhetoric through text and data mining of Facebook posts from groups of returned migrants to Mexico.


Xanda Schofield (Harvey Mudd College)

Xanda
Xanda Schofield is an Assistant Professor in Computer Science at Harvey Mudd College. She completed her B.S. in Computer Science and Mathematics at Harvey Mudd in 2013, and her Ph.D. in Computer Science at Cornell University in 2019. Her work focuses on practical applications of unsupervised models of text, particularly topic models, to research in the humanities and social sciences. Outside of research, she is an organizer of the Widening NLP workshop, whose aim is to improve representation and inclusive practices in the natural language processing community.

Melanie Walsh, Ph.D. (University of Washington)

Melanie
Melanie Walsh is an Assistant Teaching Professor in the Information School at the University of Washington, where she teaches data science, data ethics, and digital humanities. Previously, she was a Postdoctoral Associate in Information Science at Cornell University. She received her PhD in English & American Literature from Washington University in St. Louis. She is the author of Introduction to Cultural Analytics and Python, a free online programming textbook for humanities and social science students.


Created by:

Funded by:

Hosted by: