Changes coming to Books by Mail: Starting in fall 2025, Books by Mail items will only be shipped to addresses in the contiguous United States 50 miles or further from campus. We will make exceptions for students, faculty, and staff with disabilities. Learn more.
Jaj engages with researchers across the disciplines interested in employing techniques for data storytelling, natural language processing, computational social sciences, data visualization, network analysis, and text mining. She works with campus partners to establish foundational programming in research computing, data literacy, and data ethics.
On October 10–11, 2024, the South Asia Studies Digital Humanities Workshop (SASDHW) convened scholars, librarians, and technologists for two days of collaborative learning on multilingual and computational text analysis of South Asian sources.
Jaj Karajgikar, Applied Data Science Librarian and Eug Xu, RDDS Data Science & Society Research Assistant present their work on AI Literacy Interest Group & Data Science Instruction over the last year. Learn more about how they use loom weaving techniques for teaching computation and curate special collections showcases on the history of technology and digital humanities.
Eug Xu is the Data Science & Society Research Assistant at Research Data and Digital Scholarship with Jaj Karajgikar, the Applied Data Science Librarian. Eug is also a winner of the 2024 Dean’s Scholar Award.
On September 7th 2023, a group of around 20 students, staff, and faculty gathered at the Kelly Writers House (KWH) for a Prompt Battle-Off. Conceived by Jaj Karajgikar, Applied Data Science Librarian from Research Data and Digital Scholarship and Zach Carduner, the Digital Projects Manager at KWH, the evening promised to talk about if and how to use Gen AI tools in creative writing with hands-on exercises.
Jaj Karajgikar, Applied Data Science Librarian and Rachel Liu, Text and Data Research Asistant presented the multiple faculty-led Data Visualization Projects, Text and Data Mining Workflows, Libguides, Literacy & Research material for consultations that they have built together over the course of almost 2 years of successful, camaraderie-filled collaboration as a mentor-mentee for Penn Libraries Presents series.
Learn to visualize text analysis with Voyant Tools, maps with Storymap.js, and charts with Microsoft Excel alongside students of PROW 2000: Writing with Data