Schmidt Sciences HAVI

Archival Intelligence

Racing to Save History: Can AI Rescue Endangered Archives?

We're building a free, open-access AI system to rescue endangered archives in small and underrepresented communities — starting with the extraordinary cultural heritage of New Orleans jazz.

Rescuing New Orleans' Endangered Cultural Legacy

Archives across the country are crumbling and disappearing — and with them, irreplaceable pieces of our history. Our interdisciplinary team is developing AI tools that can save them before it's too late.

The Challenge

Small museums, community archives, and local newspapers hold irreplaceable cultural materials — multilingual newspapers, handwritten scores, fragile recordings, Creole and Cajun documents — that are deteriorating every day. Most lack the resources for professional preservation.

Our Approach

We're developing an inexpensive, smartphone-based tool that uses AI to digitize, restore, and connect archival materials. By working with multimodal data — text, sound, image, video — our system can trace connections across formats that were previously siloed.

Why New Orleans Jazz

Jazz history is the perfect test case: it's multimodal (sheet music, recordings, photographs, newspapers), multilingual (English, Creole, Cajun French), and culturally complex. If our tools work here, they can work anywhere.

Human-Centered AI

AI speeds up the tedious parts of archival work so researchers can dig deeper. Our system fights "cultural flattening" — ensuring AI preserves rather than erases the diversity and nuance of historical communities. Humans decide what the connections mean.

$330K
Schmidt Sciences Award
18
Month Timeline
1 of 23
Teams Selected Worldwide

An Interdisciplinary Collaboration

Spanning humanities, computer science, musicology, and archival studies across five institutions — united by the belief that AI can serve human culture rather than flatten it.

Katherine Elkins

Katherine Elkins

Principal Investigator
Professor of Humanities & Comparative Literature, Kenyon College

Director of the Integrated Program in Humane Studies (IPHS) and co-founder of the world's first human-centered AI curriculum (2016). PI for the NIST U.S. AI Safety Institute. Author of The Shapes of Stories (Cambridge UP).

Jon Chun

Jon Chun

Co-Principal Investigator
Visiting Instructor of Humanities & Affiliated Scholar in Scientific Computing, Kenyon College

Former Silicon Valley entrepreneur with deep expertise in AI systems, computational methods, and cybersecurity. Co-founder of Kenyon's human-centered AI curriculum and CoLab. Ten-year research partnership bridging technology and the humanities.

Supratik Mukhopadhyay

Supratik Mukhopadhyay

Co-Investigator
Computer Science, Louisiana State University

Brings cutting-edge AI and machine learning expertise with deep knowledge of the technical challenges in multimodal data processing, pattern recognition, and scalable computational systems — critical for building tools that work with diverse archival formats.

Lori Landay

Lori Landay

Co-Investigator
Digital Media & Cultural Studies, Berklee College of Music

Expertise in digital media, cultural studies, and the intersection of technology and the arts. Provides crucial insight into how musical and cultural archives can be meaningfully digitized while preserving the lived context and cultural significance of the materials.

Brent Hayes Edwards

Brent Hayes Edwards

Consultant
Columbia University

A leading scholar of jazz history, African American cultural production, and archival theory. His deep knowledge of New Orleans' musical heritage and the complexities of cultural archives anchors the project's humanities research questions.

Extended Network & Contributors

Our work is strengthened by a growing community of archivists, alumni, students, and collaborators.

Cultural Heritage

Jenna Nolt

Cultural Heritage Systems Advisor, Kenyon College. Expert in institutional repositories, digitization standards, and archival preservation.

Alumni & Gallery

Abigail Foster

National Gallery of Art & Kenyon alum. Published AI research at Kenyon; brings experience from heritage preservation at a major national institution.

Kenyon AI Lab

Nava Bahrampour, Gwen Eisenbeis, Adrian Mangene, Andre McCloud & Hannah Sussman ('25)

Kenyon College undergraduate researchers trained in human-centered AI. Hannah Sussman serves as project fellow. Student research from the lab has been downloaded 90,000+ times from 4,000+ institutions worldwide.

Coverage & Updates

From Ohio public media to the national press, our project is sparking conversation about AI's role in cultural preservation.

♪ WOSU
WOSU Public Media / The Ohio Newsroom
February 9, 2026

Could Artificial Intelligence Save Endangered Archives? A Kenyon College Cohort Aims to Find Out

In-depth feature on the team's first meeting, the challenges facing archives nationwide, and how a smartphone-based AI tool could change everything for small museums and communities.

Read the story
🏛 Kenyon
Kenyon College / Knox Pages
December 11, 2025

Kenyon Receives Major Gift for AI Work That Advances the Humanities

The official announcement of Kenyon's $330,000 award from Schmidt Sciences to develop a free, open-access AI system for rescuing endangered archives in underrepresented communities.

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📰 MVN
Mount Vernon News
December 13, 2025

Kenyon College Receives $330K Gift for Innovative AI-Humanities Project

Local coverage highlighting how this globally recognized project originates from rural Knox County, Ohio — and its potential impact on archives around the world.

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Collaborating Universities

Our interdisciplinary team spans four institutions, bringing together expertise in computer science, jazz studies, digital media, and the humanities.

Louisiana State University

Computer Science & AI

Visit LSU →

Columbia University

Jazz & Archive Studies

Visit Columbia →

Berklee College of Music

Digital Media & Cultural Studies

Visit Berklee →

Get Involved

We're building an open, collaborative network. Whether you work with archives, study AI, or care about cultural preservation — there's a place for you.

Archives & Collections

Do you manage or work with an endangered archive? We're looking for partner collections — especially those with multilingual, multimodal, or underrepresented materials.

Researchers & Scholars

Jazz historians, musicologists, archival scientists, AI researchers, digital humanists — join our growing network of consultants and contributors.

Students & Alumni

Kenyon students and alumni are at the heart of this work. Contact us about research opportunities, or share how your experience connects to our mission.

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