The Institutional Data Initiative at the Harvard Law School Library expands the ~1M-book Institutional Books dataset with paragraph-level text analysis and 22M extracted images, enabling new forms of ...

The Institutional Data Initiative at the Harvard Law School Library expands the ~1M-book Institutional Books dataset with paragraph-level text analysis and 22M extracted images, enabling new forms of ...

The Institutional Data Initiative at the Harvard Law School Library and Boston Public Library release an open dataset and processing pipeline that make historical newspapers more accessible for resear...

The Institutional Data Initiative at the Harvard Law School Library and Boston Public Library release an open dataset and processing pipeline that make historical newspapers more accessible for resear...

The Institutional Data Initiative at the Harvard Law School Library and Boston Public Library release an open dataset and processing pipeline that make historical newspapers more accessible for resear...

IDI and the University of Michigan Library have collaborated to release two centuries of the university’s governance decisions as a structured dataset that can be searched, analyzed, and reused.

Publicly launched in 2004, the Google Books project has scanned tens of millions of items in partnership with libraries around the world. As part of this project, Google created the Google Return Inte...

Institutional Books 1.0 is our first release of public domain books. This set was originally digitized through Harvard Library’s participation in the Google Books project..

GRIN Transfer, an open source tool that allows Google Books partner libraries to more easily access their Google Books collection.

Please join us for a talk with Michele Dolfi & Peter Staar from IBM Research in Zurich to discuss their work on SmolDocling, an “ultra-compact” model for diverse OCR tasks.

Please join us for a talk with Michele Dolfi & Peter Staar from IBM Research in Zurich to discuss their work on SmolDocling, an “ultra-compact” model for diverse OCR tasks.

For AI to truly benefit society, it must be built on foundations of transparency, fairness, and accountability—starting with the most foundational building block that powers it: data. Not long ago, ...

Institutional Books 1.0 is our first release of public domain books. This set was originally digitized through Harvard Library’s participation in the Google Books project..

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Today, as part of our mission expansion, we’re announcing a collaboration with BPL to develop AI-driven tools capable of accelerating new digitization of large collections at libraries across the worl...

Today, we’re pleased to announce an open call for institutional collaborators as new support expands the research capacity of the Institutional Data Initiative.

Why we’re launching the Institutional Data Initiative to work with libraries, government agencies, and other knowledge institutions to develop data collections and best practices for artificial intell...