Beyond the PDF: Structuring Knowledge for the Age of AI

The future of research isn't just about finding articles; it's about querying ideas. We are building the foundational data layer that will enable AI to act as a true research partner for the performing arts community.

For the last century, scholarly communication has been trapped in a metaphor: the paper article. We create a digital "paper," save it as a PDF, and upload it to a digital "library." But a PDF is a closed container; its deep, contextual knowledge is largely invisible to the powerful analytical tools we now possess.

An AI can "read" a thousand articles, but can it truly understand the relationship between a specific Laban effort and a Stanislavski acting technique? Can it trace the lineage of a choreographic concept across three continents and five decades?

Not with our current infrastructure. This is the problem we are solving.

What is AI-Ready Research?

At CENIE, we believe the next great leap in scholarship will come from transforming our content from a collection of static documents into a dynamic, interconnected knowledge graph.

We are developing a Context Model Protocol, a new standard for structuring and enriching performing arts research. This isn't just about metadata; it's about embedding deep, relational context directly into the content itself.

In simple terms, we are making scholarly content machine-readable at a granular level.

What does this enable?

For Today's Researcher:

Your work becomes instantly more discoverable and impactful, connected to a web of related ideas.

For Tomorrow's AI Tools:

Our structured data becomes the high-quality "fuel" needed to train sophisticated AI research assistants that can:

Perform complex, cross-disciplinary literature reviews in seconds.
Identify non-obvious patterns and research gaps across the entire field.
Generate novel hypotheses based on existing knowledge.
Translate dense academic theory into practical frameworks for artists.

This is more than a new publishing model. It is the creation of a collective intelligence for the performing arts.

Read Our Founding Whitepaper

This vision is detailed in our comprehensive whitepaper, "The Future of Performing Arts Scholarship: A Framework for AI-Ready Content."

This paper is an essential read for academics, university leaders, researchers, and technologists who are interested in the future of scholarly communication.

Inside, you will discover:

A detailed breakdown of our Context Model Protocol.
The principles of semantic structuring for artistic and pedagogical knowledge.
Use cases for how this framework will power next-generation research tools.
Our approach to the ethical considerations of training AI on scholarly and cultural content.
A roadmap for building a collaborative, open data ecosystem for the arts.

This is not just a summary; it is the foundational document for our entire research and publishing initiative.

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This Future is a Collaborative Project

Building a collective intelligence for our field cannot be done in isolation. We are actively seeking partners, collaborators, and early adopters who share our vision and want to contribute to this groundbreaking work.

We are looking to connect with:

University Libraries & Digital Humanities Departments

Interested in piloting new models for scholarly communication.

AI Researchers & Computer Scientists

Who need high-quality, structured data to train creative AI models.

Academic Presses & Scholarly Societies

Open to exploring the future of publishing.

Philanthropic Foundations

Dedicated to funding infrastructure projects that will have a lasting impact on the arts and humanities.

If your work aligns with our mission, we believe we can achieve more together.

Inquire About a Research Partnership →