Uploaded March 2026 | Updated September 2026, 2 weeks ago
In September and October, NYU’s A Mile in My Shoes—in partnership with the Empathy Museum—welcomed students, faculty, administrators, and staff to enter a life-sized shoe box (think: a medium-sized Winnebago), pluck a pair off a shelf, try them on for size, and take a stroll while listening to the original owner’s story. Some of the museum’s 350 previously collected stories from across 19 countries were available to listen to alongside new, NYU entries produced by and featuring voices from the university community. Those offering anecdotes included a disability advocate, a war veteran, a hospital chaplain, and more.
In one of the exhibit's storytelling exchange workshops—facilitated by experts from Narrative 4—NYUers gathered to pause, listen to each other, and gain new understanding of the people they pass on campus each day.
In September and October, NYU’s A Mile in My Shoes—in partnership with the Empathy Museum—welcomed students, faculty, administrators, and staff to enter a life-sized shoe box (think: a medium-sized Winnebago), pluck a pair off a shelf, try them on for size, and take a stroll while listening to the original owner’s story. Some of the museum’s 350 previously collected stories from across 19 countries were available to listen to alongside new, NYU entries produced by and featuring voices from the university community. Those offering anecdotes included a disability advocate, a war veteran, a hospital chaplain, and more.
In one of the exhibit's storytelling exchange workshops—facilitated by experts from Narrative 4—NYUers gathered to pause, listen to each other, and gain new understanding of the people they pass on campus each day.




![How Naturalistic Learning Algorithm PooDLe Works
Most AI systems trained on carefully curated datasets struggle when faced with the messy reality of naturalistic video. PooDLe [https://arxiv.org/abs/2408.11208], a newly published work, addresses this problem.
“We were interested in building embodied learning algorithms that could learn directly from video streams. Says Mengye Ren, author of the paper and assistant professor of computer science and data science at NYU.
The algorithms name comes from a combination of a pooled loss function and a dense loss function used in PooDLes architecture.
Visit nyu.edu/news for updates on this story and more. How Naturalistic Learning Algorithm PooDLe Works](https://i.ytimg.com/vi/uUotGDIibu8/mqdefault.jpg)





