Blog

ITHAKA innovates with Project Odyssey using generative AI to help libraries process digital collections efficiently by automating metadata creation, addressing bottlenecks, and reducing backlog.

Artstor on JSTOR virtual field trips foster equity, boost engagement, and build visual literacy through immersive, accessible online learning experiences.

Celebrate International Cat Day with our favorite feline images from JSTOR! Explore endearing cat antics and discover the vast world of cats.

ITHAKA is committed to fostering inclusivity and accessibility, aligning with the European Accessibility Act (EAA) to enhance access for individuals with disabilities. Learn about the EAA and its impact on digital accessibility standards for a range of products and services in the EU.

Celebrating 20 years of digital image access at UC San Diego Library through Artstor. Explore the transformation in utilizing visual resources for teaching and research, now transitioning to JSTOR. Join us in uncovering UC San Diego's collection legacy and future.

At JSTOR, our mission is to improve access to knowledge and education for people around the world. We're excited to share several new initiatives leveraging cutting-edge technology to make scholarly materials more accessible, interactive, and engaging for our users. Here's a detailed look at the latest advancements we recently shared at ALA 2024 in San Diego.

Explore the challenges of explosive demand in computer science departments at colleges, the faculty shortage, and the need for innovative solutions to enrich academic experiences and career opportunities for graduates.

Discover how Meghan Kelly and the Wyoming Community College Commission secured permanent access to JSTOR's extensive collection of archival journals and primary sources for seven Wyoming community colleges without recurring fees. A unique one-time payment option made this initiative possible.

Explore JSTOR's new collections for a diverse tapestry of history, culture, and creativity in various multimedia formats. Discover notable additions this month!

We are actively learning from usage, real-world applications, and user feedback in a limited beta environment to build out capabilities thoughtfully, intentionally, incrementally, and most importantly–based on evidence. This blog post delves into the rationale, construction, and current functionality of JSTOR’s beta generative AI tool, as well as the key themes and insights that have emerged from our analysis of its usage.