Manifold Lunchtime Community Events

Room 5307 @ The GC

Curious about building resource-rich projects on Manifold? Stefano Morello (American Social History Project/Center for Media and Learning, CUNY Graduate Center) will share insights from his work on two projects: Let My …

Manifold Lunchtime Community Events

Room 5307 @ The GC

Interested in publishing digital dissertations on Manifold? Join us for a community event with Dr. Wendy Barrales (NYU), a former Manifold Graduate Fellow and the author of the first digital dissertation published on Manifold, searching for mami and abuelita: reimagining ethnic studies praxis through women of color feminisms, art, and archiving. Wendy’s dissertation showcases new possibilities for …

Manifold Lunchtime Community Events

Room 5307 @ The GC

Join the Lost & Found team to explore how they publish the CUNY Pedagogy Series on Manifold. Dr. Kendra Sullivan (Center for the Humanities, CUNY Graduate Center) and Roxanne Shirazi (Mina Rees Library & …

Teaching with Manifold: A Community Event

Room 5307 @ The GC

Join us for our first Lunchtime Manifold Community Event! Whether you're fresh to Manifold or looking to refuel your research and teaching, this event is for you! Manifold Graduate Fellows, …

Getting Started with TEI

Room 5307 @ The GC

This workshop is a deep introduction to the theory and practice of encoding electronic texts for the humanities. It is designed for students who are interested in the transcription and digitization of manuscripts and print-based texts into diplomatic, digital formats. The workshop contains three parts: first, an overview of TEI and the major schemas; second, …

The Incommensurable: Explainability and the Autonomy of Computational Automation (M. Beatrice Fazi)

Room 5307 @ The GC

This talk addresses some of the philosophical implications of a computer program being no longer constrained by the limits of human knowledge. I will understand this freedom from human knowledge as a form of autonomy from human abstraction. My case study will be contemporary artificial intelligence research in deep learning. Because of their successful results, …