AI and advanced technologies
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Access ready-made outreach materials, training guides, FAQs, and social media content to help your community understand and effectively use JSTOR’s AI research tool for discovery and research.
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In this webinar, Emilie Hardman shares how values-aligned AI, including JSTOR Seeklight, can support reparative description at scale.
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Roger Schonfeld introduces the concept of a collections processing tool—a new, community-driven system that reimagines how special collections are described and discovered. With JSTOR Seeklight, this approach uses digitization and intelligent recognition to make archives more accessible and impactful.
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Educators Bess Wilhelms and Steve Hermann use JSTOR’s AI research tool to save time, plan lessons, and boost student engagement through accurate, trusted insights.
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For Yuimi Hlasten—both a librarian and international student—JSTOR’s AI research tool became a bridge to understanding. By helping her organize and synthesize sources efficiently, it allowed her to balance work and study while empowering students to find their academic voice.
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Accelerate impact with JSTOR Seeklight—purpose-built AI that helps archivists and librarians process, describe, and publish collections responsibly, keeping human expertise at the center.
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For educator and researcher Maria Rovito, JSTOR became more than a research tool—it became a bridge from isolation to connection. Drawing on JSTOR’s interdisciplinary collections.
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JSTOR Seeklight now generates transcripts for typed and handwritten items, making every word searchable and accessible while keeping editors in control. Available now for Tier 3 participants.
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Bias is inherent to description, but description can and should be revised over time. We’re evolving JSTOR Seeklight’s safeguards against bias and harmful content to reflect our values, our engineering ethos, and our commitment to transparency.
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This year’s American Library Association (ALA) Conference in Philadelphia offered an opportunity to share how JSTOR is addressing two interconnected needs: helping researchers navigate trusted content more intuitively, and helping libraries manage, preserve, and activate distinctive collections at scale.
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JSTOR’s AI research tool (formerly known as the Interactive Research Tool) has officially launched for all JSTOR-participating institutions. In this blog post, explore the tool’s development history, recent updates, and community insights JSTOR team learned from this year’s American Library Association conference.
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JSTOR’s AI-powered research tool enables users to quickly identify key points within scholarly texts, discover new topics and content, and query for deeper engagement.
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Senior Product Manager Ann Connolly shares how JSTOR Digital Stewardship Services addresses key collection management issues with a unique integration approach.
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Senior Product Manager Syed Amaanullah shares how JSTOR Seeklight blends technology and human expertise to deliver a purpose-built AI application for archives.
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At SXSW EDU 2025, educators gathered to discuss the promises and pitfalls of AI in the classroom. This post reflects on the evolving role of humanities instructors, advocating for AI as a collaborative tool to support metacognition, process-based learning, and critical engagement.
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At ACRL 2025, JSTOR marked its 30th anniversary while unveiling JSTOR Digital Stewardship Services—built to support libraries in managing and preserving digital collections using AI-assisted metadata creation and community-driven collaboration.
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Discover how secondary school teacher Madeleine Champagnie integrates JSTOR’s research tool into her English classroom to make scholarly research more accessible, inclusive, and efficient.
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Explore how Dr. Alexa Alice Joubin builds trust in AI-powered educational tools through open-access models, humanities-based insights, and participatory design—fostering ethical, critical engagement between students and AI in the classroom.
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An archivist explores how AI can help surface hidden histories, improve metadata, and support digital stewardship while emphasizing the need for human expertise in shaping archival narratives.
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Join JSTOR’s community of institutions advancing responsible, AI-assisted digital stewardship. Help shape how technology enhances discovery, access, and care for digital collections.
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Discover how archivists and librarians shaped JSTOR Seeklight, an AI-powered technology that streamlines collections processing and enhances digital stewardship.
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JSTOR’s interactive research tool allows users to actively engage with texts by asking questions directly within the tool. Based on user feedback, we created this guide to help you get the most out of this feature. We’ll explore how asking the right types of questions can help you quickly find relevant content, understand complex arguments,…
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Explore JSTOR’s powerful platform features—AI-assisted discovery, Workspace, text analysis, image tools, multimedia, and teaching resources designed to advance learning and research.
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Streamline research, gain metadata insights, and boost student success with JSTOR’s interactive research tool. We’ve designed its new features and enhancements to elevate your research experience.
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How can artificial intelligence enhance humanities research and teaching while preserving the discipline’s rich traditions and interpretive depth? This question guided a dynamic session at the 2025 Modern Language Association (MLA) Conference—a gathering of thousands of educators, students, and scholars passionate about language, literature, and culture.
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At the Charleston Conference 2024, JSTOR presented its vision for managing and preserving digital collections into the future. “Not Just Another AI Session” highlighted how cutting-edge tools—including JSTOR’s digital collection processing prototype and interactive research tool (beta)—can transform access to archival materials while staying true to JSTOR’s nonprofit mission.
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Discover the evolution of JSTOR’s Text Analyzer, a groundbreaking tool retired in 2024, and explore how new innovations like Constellate and JSTOR’s interactive research tool continue to support researchers with advanced technologies and AI-powered solutions.
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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…
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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…
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JSTOR’s AI research tool helps users explore scholarship more deeply through key points, related topics, and natural-language questions. Free to participating institutions and developed responsibly with our community.
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