Category: Events and Workshops
Digital Scholarship 101: Managing Your Data
Join us on Wednesday, February 12, 2025, where we’ll cover topics such as collection and storage, consent agreements, and contingencies for sensitive information and data.
Ann Arbor Art + Feminism 2026
Join us to celebrate Women’s History Month with a Wikipedia Edit-a-thon and panel discussion on digital art, feminism, artificial intelligence, and activism!
Why Hold a Colored Convention: an Introduction to Analyzing Text Data
Why hold a Colored Convention? Find out with us as we analyze transcripts from 19th century Colored Conventions held across the country. Participants will learn basic computational text analysis concepts as well as hands on experience using tools and analyzing results.
Douglass Day 2026
Join us on Friday, February 13th, 2026 for a day of transcription, discussion, birthday cake, and celebration of Black History.
Digital Pedagogies: Expanding Your Toolkit
Join us for this workshop on April 24, 2025, designed to expand educator toolkits to integrate digital scholarship and tools into the classroom in a practical and accessible formats to create creative, engaging, and pedagogically sound teaching resources. Hit the ground running next semester with interactive lesson plans and projects that foster critical thinking, creativity, and curiosity in students.
Douglass Day 2025
Join us on Friday, February 14th, 2025 for a day of transcription, discussion, birthday cake, and celebration of Black History.
Douglass Day Text Analysis Workshop
Digital Scholarship 101: Designing and Planning Your Digital Project
Join us for this workshop in January 30, 2025, where we will cover conceptualizing a research project with specific scholastic outcomes, objectives, and deliverables and learning the steps needed to plan for success.
Digital Scholarship 101: Managing Your Data
Join us on Wednesday, February 12, 2025, where we’ll cover topics such as collection and storage, consent agreements, and contingencies for sensitive information and data.