Schedule At A Glance

Speakers will present 10-minute case studies and are listed in the order they will present.


Speakers & Schedule are Subject to Change!


Welcome to #LTT2024! (8:45 AM – 9 AM EST)


Panel 1 (9 – 10:30 AM EST)

  • Than van Nispen tot Pannerden (HKU, University of the Arts Utrecht) – Proj1B “Maak het (niet) met A.I.” (translates to “(don’t) make it with A.I.”)
  • Louis McCallum (University of the Arts, London) – Natural Language Processing for Creatives
  • Clara Fernandez-Vara (New York University) – Generating Parser-based Games to Teach Narrative Design
  • Phoenix Perry (University of the Arts London) – Coding One / Coding Two
  • Rebecca Fiebrink (University of the Arts London) – Exploring Machine Intelligence

Group Q&A moderated by


Panel 2 (10:45 AM – 12:15 PM EST)

  • Griffin Smith (Rhode Island School of Design) – Art and Artificial Intelligence
  • Roopa Vasudevan (University of Massachusetts Amherst) – Digital Imaging (UMass) and Design 21: Design After the Digital (UPenn)
  • Golan Levin (Carnegie Mellon University) – Foundations: Digital Media II
  • Christian Grewell (New York University) – B-Roll: Open Source AI Short Filmmaking
  • Liat Lavi (University College of London) Ai Doppelgängers In The Service Of Reflective Practice

Group Q&A Moderated by


Lunch + Learn (12:30 – 1:3o PM EST)

  • Workshop 12:30 PM – 1:00 PM EST 

Adam Tindale, Emilie Brancato, and Lori Riva (OCAD University) – Navigating Generative AI in Art and Design Education: Policy, Pedagogy, and Creative Practice 

  • Lunch Break 1:00 PM – 1:30 PM EST 

Panel 3 (K-12 • 1:30 – 2:45 PM EST)

  • Emma Wingreen (Code.org®) – CS Connections: AI for English and History
  • Beth Rosenberg, Ray Barash, and Haley Shibble (Tech Kids Unlimited) – NATE: A Neurodiverse Accessibility Tech Education Tool-A Look at How AI CAN Help Educators and Excite Students in the Classroom
  • Diana Dias (Avenues São Paulo) – AI Explorer
  • Ariel Han (University of California, Irvine) – StoryAI: AI-based Personalized Story Authoring Platform to Empower Youth and Families’ Literacy Development

Group Q&A Moderated by


Panel 4 (3 – 4:30 PM EST)

  • Todd Ingalls (Arizona State University) – Machine Learning for Media Arts
  • Norah Lorway (Toronto Metropolitan University) – Artificial Intelligence and Music
  • Chen Wang (California State University, Fullerton) – Computer-Assisted Graphics
  • Tyler Coleman (University of California Santa Cruz) – Creativity with AI (at the University of Texas at Austin)
  • Daniel Lefcourt (Rhode Island School of Design) – Generative Systems

Group Q&A moderated by 


Panel 5 (4:45 – 6:15 PM EST)

Group Q&A Moderated by 


Closing (6:15 – 6:30 PM EST)


Thank You For Attending #LTT2024!