BEGIN:VCALENDAR
VERSION:2.0
X-WR-CALNAME:cnispring2026
X-WR-CALDESC:Event Calendar
METHOD:PUBLISH
CALSCALE:GREGORIAN
PRODID:-//Sched.com CNI Spring 2026 Membership Meeting//EN
X-WR-TIMEZONE:UTC
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260412T230000Z
DTEND:20260413T000000Z
SUMMARY:New Attendee Welcome
DESCRIPTION:A relaxed gathering to celebrate new members and first-time attendees. Members of the CNI staff and Steering Committee will be on hand—come for a drink\, a bite\, and a chat.
CATEGORIES:RECEPTION
LOCATION:Solitude Room (Level 3)\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:4421b637176c44c07f3ca60b2837c39c
URL:http://cnispring2026.sched.com/event/4421b637176c44c07f3ca60b2837c39c
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260413T163000Z
DTEND:20260413T233000Z
SUMMARY:Registration Opens
DESCRIPTION:\n
CATEGORIES:
LOCATION:Regency Foyer\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:4d90aafd87173ffcc7047946d9c4c989
URL:http://cnispring2026.sched.com/event/4d90aafd87173ffcc7047946d9c4c989
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260413T171500Z
DTEND:20260413T180000Z
SUMMARY:Orientation
DESCRIPTION:Get acquainted with CNI and the membership meeting! This optional session will provide a quick rundown of CNI and meeting logistics\, introductions all around\, and time for your questions. Open to all attendees\, so you'll be in good company.
CATEGORIES:ORIENTATION
LOCATION:Regency A\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:e5cd04f15d5b4a12286d6fda5858207f
URL:http://cnispring2026.sched.com/event/e5cd04f15d5b4a12286d6fda5858207f
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260413T180000Z
DTEND:20260413T184500Z
SUMMARY:Refreshment Break
DESCRIPTION:\n
CATEGORIES:BREAK
LOCATION:Regency Foyer\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:3c089a4f1c8d9f3ac562948b5276fc2d
URL:http://cnispring2026.sched.com/event/3c089a4f1c8d9f3ac562948b5276fc2d
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260413T184500Z
DTEND:20260413T200000Z
SUMMARY:Opening Plenary: Libraries Leading Campus AI: Claiming Our Seat at the Table
DESCRIPTION:Artificial intelligence (AI) has already transformed how people search\, read\, write\, learn\, and share information—the very terrain libraries have stewarded for generations. Yet many of the decisions shaping AI policy and adoption on campuses are being made without librarians in the room. In this framing plenary\, Rebekah Cummings argues that library values and expertise make librarians essential participants and natural leaders in this critical conversation. Drawing on experiences ranging from a statewide political campaign to co-directing a Summer Institute on Humanities Perspectives on AI\, Cummings reflects on her own journey finding a “seat at the table” and shares her conviction that wherever AI touches the information space\, librarians must be centered in the conversation. This framing talk will be followed by a panel of library leaders from across the country who are actively shaping campus AI initiatives and demonstrating what it looks like for libraries to lead.\n\nNote: The panel portion and Q&A will not be recorded.&nbsp\;\n\n
CATEGORIES:PLENARY
LOCATION:Regency A\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:b2ebb210493b80a890be328769065ea3
URL:http://cnispring2026.sched.com/event/b2ebb210493b80a890be328769065ea3
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260413T200000Z
DTEND:20260413T203000Z
SUMMARY:Refreshment Break
DESCRIPTION:\n
CATEGORIES:BREAK
LOCATION:Regency Foyer\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:2a38c489684bdbc90a63ffc4c1b93c79
URL:http://cnispring2026.sched.com/event/2a38c489684bdbc90a63ffc4c1b93c79
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260413T203000Z
DTEND:20260413T213000Z
SUMMARY:1.1 Challenges in Accessibility
DESCRIPTION:Access and discovery are at the heart of what academic libraries do. &nbsp\;With the Americans with Disabilities Act Title II’s requirement that public entities’ web and mobile content needs to meet Web Content Accessibility Guidelines (WCAG) 2.1 Level AA standards\, libraries and institutions are challenged by the volume of digital content that needs to be remediated and understanding expectations and requirements that impact existing operations in a resource-constrained time. Many libraries are working with partners in legal\, disability offices\, and IT to explore and find solutions that scale.\n\nThis panel will explore these challenges from multiple perspectives and hear about approaches and pathways being pursued at a few institutions. Attendees will be invited to share examples of efforts their organizations are undertaking and their questions to help everyone learn more about this complicated but important area.
CATEGORIES:PROJECT BRIEFING
LOCATION:Regency A\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:5ce7374008cf273ba38366f974e37e9b
URL:http://cnispring2026.sched.com/event/5ce7374008cf273ba38366f974e37e9b
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260413T203000Z
DTEND:20260413T213000Z
SUMMARY:1.2 Scaling Openness: Institutional Models and Pathways for Open Publishing
DESCRIPTION:Open at Scale: Exploring the Value and Impact of the BTAA's Open Publishing Agreement Model\nMaurice York and Jeffrey Spies (Big Ten Academic Alliance)\n&nbsp\;\nFrom 2021 to 2024\, the libraries of the Big Ten Academic Alliance (BTAA) paved the way for a dramatic increase in open access publishing by Big Ten authors—from 38% to more than 86% open in library-negotiated agreements. This was accomplished by innovating the Open Publishing Agreement (OPA) model\, a strategy centered on the author experience: no fees\, no caps\, and no hassle. This values-based approach has delivered significant benefits for author rights\, widespread author adoption\, and measurable increases in research impact. This presentation will describe the current effort to explore the network of data from Big Ten publications—citations\, authors\, disciplines\, and institutions—to further analyze the impact of these agreements: lowering barriers\, expanding opportunities for authors\, expediting knowledge sharing\, and advancing research. Utilizing network visualizations\, the BTAA is examining indicators of impact\, such as shifts in citation patterns and global engagement that are directly evident from this initiative. The presenters will also discuss their strategic negotiation approach\, including practical elements they are developing\, such as the assessment rubric\, license agreement terms\, and evidence metrics.\n\nhttps://btaa.org/library/open-scholarship/strategy\n\nAdvancing Open Monograph Opportunities at UC: New Pathways for the Future\nLidia Uziel (University of California\, Santa Barbara) and Miranda Bennett (California Digital Library\, University of California)\n\nIn January 2026\, the University of California (UC) Libraries released Advancing Open Monograph Opportunities at UC\, a report that articulates a values-driven framework for advancing open access monograph publishing. In this session\, speakers will present the report and share how its recommendations are being translated into practice through coordinated pilots across the UC system.\n\nWhile journal-based open access (OA) models have matured\, monographs (particularly in the arts\, humanities\, and social sciences) pose distinct challenges shaped by disciplinary norms\, funding structures\, and the publishing economics of long-form scholarship. The report responds to this complexity by advancing a model-agnostic\, portfolio-based approach that recognizes the diversity of publishing traditions and avoids reliance on any single funding mechanism.\n\nFour strategic directions anchor the framework: targeted investment in book processing charge-based initiatives aligned with institutional research and teaching priorities\; expanded support for Diamond OA and free-to-read models that remove both author- and reader-facing fees while advancing bibliodiversity and multilingual scholarship\; strengthened partnerships with university presses as trusted stewards of peer-reviewed work\; and sustained investment in open\, community-owned infrastructure that ensures discoverability\, metadata quality\, preservation\, and long-term sustainability. These strategies are guided by shared scholarly values\, including equity\, fiscal responsibility\, transparency\, and community stewardship.\n\nThe session will include highlights and lessons learned from UC's implementation of this framework through systemwide pilots that open UC-authored monographs at no cost to authors\, combine frontlist and backlist approaches\, and provide predictable\, scalable support for university presses. Together\, the framework and pilots demonstrate how a large research university system is aligning values with action\, offering practical insights for institutions seeking sustainable futures for open monograph publishing.\n\nhttps://escholarship.org/uc/item/9r22k58w\nhttps://osc.universityofcalifornia.edu/2026/01/advancing-open-monograph-opportunities-at-uc-new-pathways-for-the-future/\nhttps://osc.universityofcalifornia.edu/2026/01/open-access-for-uc-authored-monographs/
CATEGORIES:PROJECT BRIEFING
LOCATION:Regency C\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:4f0fd9aaf7bb8843fffc7a46ef37ff3b
URL:http://cnispring2026.sched.com/event/4f0fd9aaf7bb8843fffc7a46ef37ff3b
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260413T203000Z
DTEND:20260413T213000Z
SUMMARY:1.3 AI in Virtual Reference: Opportunities\, Limits\, and Lessons from 34+K Interactions
DESCRIPTION:Academic libraries are under increasing pressure to deliver fast\, high‑quality virtual reference services amid rising demand\, staffing constraints\, and expectations for always‑available support. Generative artificial intelligence (AI) is frequently marketed as a scalable solution\, often without sufficient evidence about where automation might genuinely help or where it may introduce new burdens or risks of suboptimal service. This project briefing details a multi-institutional study of nearly 35\,000 anonymized transcripts using a structured natural language processing (NLP) framework. It shares lessons learned from methodological evolution\, testing a spectrum of approaches from off-the-shelf interfaces (Microsoft Copilot\, Gemini) to a custom-engineered API pipeline. By pairing human expertise with an auditable codebook\, the framework generates AI-reasoning trails for every assigned code\, allowing researchers to see exactly where model logic aligns with or diverges from professional judgment. The results highlight promising opportunities for responsible automation but also document the extensive iterative cleaning and error-correction cycles necessary to achieve reproducible results. By foregrounding these insights and the often-invisible labor required\, the session will provide library leaders with a realistic roadmap for responsible AI integration\, moving beyond theoretical promises to offer evidence-based guidance on staffing\, workflow design\, and long-term strategy in scaling AI-assisted virtual reference.
CATEGORIES:PROJECT BRIEFING
LOCATION:Regency D\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:e5f2327708dcd76298bad87b3e4590bf
URL:http://cnispring2026.sched.com/event/e5f2327708dcd76298bad87b3e4590bf
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260413T213000Z
DTEND:20260413T214500Z
SUMMARY:Passing Break
DESCRIPTION:\n
CATEGORIES:BREAK
LOCATION:Regency Foyer\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:2c5518eb05bfe6f66cb2793bf9e14ab8
URL:http://cnispring2026.sched.com/event/2c5518eb05bfe6f66cb2793bf9e14ab8
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260413T214500Z
DTEND:20260413T221500Z
SUMMARY:2.1 Transcription OLLMpics: Testing Large Language Models for Transcription and Translation
DESCRIPTION:In January 2026\, the University of Virginia Library conducted the first of many proposed hands-on exercises to test four major large language models' (Anthropic's Claude\, OpenAI's ChatGPT\, Google Gemini\, and Microsoft CoPilot) suitability for the transcription and translation of handwritten documents from the University of Virginia Library's special collections. Thirty-two staff members from multiple disciplines were given standard prompts and rubrics for evaluation\, divided into groups\, and given an opportunity to select an item to scan and provide to each LLM for transcription\, and\, if necessary\, translation. Time was provided at the end for groups to share their findings and key insights. This initial exercise will be used to calibrate prompts and rubrics for similar events that will be held to continue evaluation of LLMs for processing of collections\, and to inform faculty\, students\, and researchers on the effective use of these tools. &nbsp\;https://library.virginia.edu/news/2026/gamechanger-can-ai-accurately-transcribe-primary-source-documents
CATEGORIES:PROJECT BRIEFING
LOCATION:Regency A\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:7b14d4d595bd50c253162af5e2b0f407
URL:http://cnispring2026.sched.com/event/7b14d4d595bd50c253162af5e2b0f407
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260413T214500Z
DTEND:20260413T221500Z
SUMMARY:2.2 From Infrastructure to Impact: The Allmaps-IIIF Partnership
DESCRIPTION:Thousands of institutions have adopted the International Image Interoperability Framework (IIIF) to provide access to digitized collections\, yet the content served through these APIs\, including hundreds of thousands of maps\, remains largely undiscoverable by location and difficult to use across institutional boundaries. Allmaps is an open source ecosystem that enables anyone to curate\, georeference\, and explore these resources without requiring GIS expertise or specialized infrastructure. In 2025\, following the termination of a National Endowment for the Humanities grant\, the IIIF Consortium formalized a tiered partnership with Allmaps to sustain its development. This is intended to be the first in a broader effort to help institutions realize the collective value of the content their shared infrastructure makes accessible via IIIF. This briefing will present the strategic rationale for this new consortial model from both the IIIF Consortium and Yale University Library\, an early Allmaps Innovator. The session will explore how the partnership delivers tangible benefits to the community\, from lowering barriers to georeferencing and cross-collection map discovery\, to providing institutions with crowdsourcing tools\, integration services\, and governance participation without requiring specialized GIS infrastructure. Discussion will focus on how consortial organizations can move beyond standards-setting to actively steward and unlock the value of the content communities have collectively invested in digitizing. https://allmaps.org/iiif-partnership
CATEGORIES:PROJECT BRIEFING
LOCATION:Regency C\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:02a25d5a79fce501e45038b534534791
URL:http://cnispring2026.sched.com/event/02a25d5a79fce501e45038b534534791
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260413T214500Z
DTEND:20260413T221500Z
SUMMARY:2.3 A Methodical Approach to Evaluating AI-Generated Metadata: Outcomes of a First-Year Charter
DESCRIPTION:The University of Texas Libraries (UTL) entered into a charter program with ITHAKA in the fall of 2025 with the objective of testing Seeklight\, JSTOR's artificial intelligence (AI)-based metadata generation tool. The goal for the first year of the charter was to test the quality of Seeklight's metadata output and its compatibility with multilingual and complex records. UTL evaluated the quality and changes over time over several months of testing\, using born-digital and digitized records sourced from UTL's Benson Latin American Collection and Alexander Architectural Archive. The rubric used during this testing period is a four-point\, subjective rating scale\, which was developed by UTL's AI Metadata Creation Working Group during earlier tests with out-of-the box LLMs. This presentation will highlight our initial impressions of Seeklight's metadata output on a field-by-field basis. We will explore UTL's continued testing of Seeklight and its current ability to provide the subject knowledge and enhanced discoverability needs for archival records.
CATEGORIES:PROJECT BRIEFING
LOCATION:Regency D\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:03c9c072142022e248bf13424cc8326a
URL:http://cnispring2026.sched.com/event/03c9c072142022e248bf13424cc8326a
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260413T221500Z
DTEND:20260413T224500Z
SUMMARY:Refreshment Break
DESCRIPTION:\n
CATEGORIES:BREAK
LOCATION:Regency Foyer\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:9456023c104c2fa4e9f918cda94a5273
URL:http://cnispring2026.sched.com/event/9456023c104c2fa4e9f918cda94a5273
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260413T224500Z
DTEND:20260413T231500Z
SUMMARY:3.1 Memory without Origin: The UVA Archival AI Protocol
DESCRIPTION:As artificial intelligence (AI) companies increasingly seek access to archival collections for model training\, archival organizations face high-stakes decisions with limited precedent and no shared standard. The University of Virginia (UVA) Library has developed the UVA Archival AI Protocol (UVA AAIP)\, a practical framework grounded in a core rule: irreversible AI models do not get access to archival materials unless item-level provenance and meaningful attribution can be demonstrated\, and the institution retains contractually enforceable control to stop further use. The Protocol distinguishes between retrieval-based AI systems—which keep source materials under institutional control and are generally permitted—and general-purpose model training\, which absorbs knowledge into model weights irreversibly and is blocked by default. Built on three foundational pillars (provenance and attribution\, donor and community responsibilities\, and institutional control)\, the Protocol provides a decision framework for evaluating AI requests\, sample contract clauses for deeds of gift and vendor agreements\, minimum provenance standards for AI-generated citations\, and a phased implementation plan designed for organizations of any size. This briefing addresses both the strategic rationale for the Protocol and the practical realities of putting it into action. Attendees will leave with a freely available adoption kit—including customizable templates\, sample clauses\, and implementation checklists—that any archival organization or memory institution can use to establish a principled\, consistent position before the next AI partnership request arrives. https://doi.org/10.18130/5dqf-9w86
CATEGORIES:PROJECT BRIEFING
LOCATION:Regency A\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:7793fd2cc977fabb4b9aed45e6a5db92
URL:http://cnispring2026.sched.com/event/7793fd2cc977fabb4b9aed45e6a5db92
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260413T224500Z
DTEND:20260413T231500Z
SUMMARY:3.2 Scaling Reparative Metadata Assessment with MaRMAT
DESCRIPTION:The injustices embedded in the collecting and descriptive practices of libraries\, museums\, and archives are now widely recognized and have prompted many cultural institutions to pursue inclusive and reparative initiatives\, such as harmful language statements and content warnings. Remediating outdated and offensive language in metadata is\, however\, a far more daunting task\, especially at scale. While resources like the Inclusive Metadata Toolkit support informed reparative decision-making\, identifying problematic terms remains a tedious and emotionally taxing process dependent on individual keyword searching. Consequently\, many institutions either lack the time and resources to engage in this work or are constrained by the sheer volume of potentially harmful language present in metadata records. With the support of an internal library seed grant program\, the J. Willard Marriott Library at the University of Utah &nbsp\;developed the Marriott Reparative Metadata Assessment Tool (MaRMAT)\, an open source\, schema-agnostic\, Python-based application for bulk metadata assessment. MaRMAT assesses tabular metadata against pre-curated and custom lexicons\, generating a report flagging potentially harmful terminology by field\, category\, and context. By making large-scale assessment more accessible\, MaRMAT empowers cultural heritage organizations to circumvent individual bias and advance equity in digital collections. MaRMAT's successful development also demonstrates the impact of small seed grant programs.\nhttps://www.marmatproject.org/\nhttps://github.com/marriott-library/MaRMAT
CATEGORIES:PROJECT BRIEFING
LOCATION:Regency C\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:c321798422e7b21685f865f242819ec1
URL:http://cnispring2026.sched.com/event/c321798422e7b21685f865f242819ec1
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260413T224500Z
DTEND:20260413T231500Z
SUMMARY:3.3 From Search to Strategy: What Student AI Use Means for the Future of Academic Libraries
DESCRIPTION:As generative artificial intelligence (AI) reshapes how students conduct research\, academic libraries face a critical opportunity to redefine their value proposition. This session presents findings from two years of research with over 1\,000 undergraduate and graduate students across disciplines\, revealing that while AI chatbots have become essential cognitive partners for brainstorming and navigating complex research\, students consistently turn to library resources for credibility verification and validation. The data demonstrates that students are thoughtful\, skeptical consumers of AI who routinely cross-check AI-generated content against library sources\, who view AI outputs\, particularly citations and reasoning\, with appropriate caution. Rather than displacing libraries\, AI has elevated their role as the authoritative validator underlying AI-mediated workflows. This research offers evidence-based insights to inform strategic decisions around discovery systems\, research support services\, and resource access in an AI-integrated environment\, positioning libraries not as competitors to AI tools but as essential stewards of trustworthy\, credible knowledge in an era of information abundance.
CATEGORIES:PROJECT BRIEFING
LOCATION:Regency D\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:617450458a4f0f97c474ab7a5534ff6e
URL:http://cnispring2026.sched.com/event/617450458a4f0f97c474ab7a5534ff6e
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260413T231500Z
DTEND:20260413T233000Z
SUMMARY:Passing Break
DESCRIPTION:\n
CATEGORIES:BREAK
LOCATION:Regency Foyer\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:63486fc5bfa56e8e1e6a67e7581ff9e7
URL:http://cnispring2026.sched.com/event/63486fc5bfa56e8e1e6a67e7581ff9e7
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260413T233000Z
DTEND:20260414T001500Z
SUMMARY:Lightning Round
DESCRIPTION:Building Infrastructure by Investing in People: Seven Years with CollectionBuilder \nEvan Williamson\, University of Idaho\n\nIntroduction to Project VECTOR\, Creating Open Engineering Visualizations\nMacarena Lange\, Colorado State University\n\nDeploying an AI Sandbox: A Libraries-Led Service Pilot for Scalable Research Infrastructure &nbsp\;\nVarun Sayapaneni\, University of Oklahoma\n\nFacilitating Use of Unencumbered Publications as Data for AI \nNicholas Taylor\, Los Alamos National Laboratory \n\nJOLT: A Tool for University of California Authors to Find Journals with Open Access Fee Support \nJade Yonehiro\, California Digital Library\n\nPersistent Identifiers for Facilities and Instruments: Supporting FAIR Data Collections \nMatthew Mayernik\, National Science Foundation National Center for Atmospheric Research\n\nOperationalizing Quantum Computing Through the Academic Library\nSeth Porter\, University of Colorado Colorado Springs
CATEGORIES:PLENARY
LOCATION:Regency A\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:583eff2dc0d0b7014c276a8f06108695
URL:http://cnispring2026.sched.com/event/583eff2dc0d0b7014c276a8f06108695
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260414T001500Z
DTEND:20260414T013000Z
SUMMARY:Reception
DESCRIPTION:\n
CATEGORIES:RECEPTION
LOCATION:Regency B\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:9d050803725a86dac3bd4bbb98ea3ca2
URL:http://cnispring2026.sched.com/event/9d050803725a86dac3bd4bbb98ea3ca2
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260414T134500Z
DTEND:20260414T150000Z
SUMMARY:Breakfast (including discussion tables)
DESCRIPTION:Join optional table discussions at breakfast. There is no signup\; participation is first come.\n\nAcademic Library Management Community of Practice\,&nbsp\;Melissa Skinnell (Brown University)\nFormed at Brown to support managers/supervisors in their roles\, or more generally about how we can better support/grow management skills in academic libraries. The interest in this came out of the Conference on Academic Library Management and their recent grant work that Skinnell participated in.Articulating Library Value to the Research Enterprise\,&nbsp\;Hilary A. Craiglow (Attain Partners)\nHow are libraries demonstrating their impact on sponsored research and advocating for university investment in library support for funded research?AI Access to Archival Collections\,&nbsp\;Peter M. Berkery (Association of University Presses)\nThe conversation will explore the tension between the principles of open access and an archive’s special responsibility to donors and authors for unique materials as they relate to training AI models. (Relevant sources include&nbsp\;UVA’s Archival AI Protocol\, this piece by Dave Hansen of Authors Alliance\, and this one by Rosalyn Metz. See also Andrew Potter's No Access Without Control&nbsp\;(added 4/12/26).Building AI-Ready Collections\,&nbsp\;Kenneth J. Peterson (Harvard Business School)\nAI is reshaping library collections past and future. How can archives and licensed content become AI-ready? What should libraries collect next and how must licensing\, budgets\, and partnerships evolve?Digital Accessibility: Hopes\, Dreams\, & Strategy\,&nbsp\;Jimmy Ghaphery (Virginia Commonwealth University)\nDigital accessibility has recently been framed as a battle against litigation as opposed to a path toward innovation. With the hopes of our users and dreams for frictionless web\, how are we building a strategy with existing resources to make it a reality?Grant-Charged Library Services\,&nbsp\;Mimi Calter (Washington University)\nDiscussion on what grant-funded library services entail. How and why libraries define\, document\, and price their services for direct charging to grants.Homegrown to Hosted Digital Access and Preservation Systems\,&nbsp\;Sarah Dorpinghaus (University of Kentucky)\nLocally developed digital library and preservation systems are being reevaluated in favor of vendor solutions. What’s driving this\, and how do we balance sustainability\, control\, and local priorities?How to be a Good Ally\,&nbsp\;Tim Shearer (University of North Carolina)\nJoin IT & library peers for breakfast to explore allyship as an ongoing practice. We'll discuss equity\, inclusive hiring\, and the responsible use of positional influence. Anyone interested is welcome!IT Governance\,&nbsp\;Dale Hendrickson (Yale University)\nLibraries & Environmental Sustainability\,&nbsp\;Kaya van Beynen (University of South Florida) and L. Angie Ohler (University of Minnesota)\nThis discussion examines how libraries advance sustainability across teaching\, research\, facilities\, AI energy impacts\, and partnerships. Share your leadership\, successes\, and lessons learned.Open Source and Community-Supported Tech and AI's Impact\,&nbsp\;Bridget Almas (Lyrasis)\nAI has upended how software development is done and who can do it. What does this mean for the present and future of the open-source community-supported technologies we use in our libraries?\nTeam Topologies for Library IT\,&nbsp\;Nick Steinwachs (Notch8)&nbsp\;\nYour systems mirror how your teams communicate (and vice-versa). Let's talk library IT org design\, cognitive load\, and frameworks for structuring teams effectively.Understanding the Costs of Data Sharing: Realities of Academic Data Sharing (RADS)\,&nbsp\;Amanda Koziura\, (University of Nevada\, Las Vegas)\, Jake Carlson\, (University at Buffalo\, SUNY)\, Shawna Taylor (Johns Hopkins University)\nWe'll discuss what we're learning from the socio-technical aspects of RADS\, specifically around how libraries and institutions fund RDM and how recent federal policy shifts are (re)shaping RDM services.University Library & AI\,&nbsp\;Darlene Parker Kelly (SCELC Executive Board member and Charles R. Drew University)Women Technology Leaders\,&nbsp\;Rosalyn Metz (Emory University)\n"I'm so sick of running as fast as I can\, wondering if I'd get there quicker if I was a man\," ~Taylor Swift. The table will discuss the challenges and opportunities of being a woman technology leader.&nbsp\;
CATEGORIES:MEAL
LOCATION:Regency B\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:2062230a0f7258bfcbc3627a7ea9cad1
URL:http://cnispring2026.sched.com/event/2062230a0f7258bfcbc3627a7ea9cad1
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260414T150000Z
DTEND:20260414T154500Z
SUMMARY:4.1 Forging a Path for Successful Shared Stewardship
DESCRIPTION:There is always tension between an ideal and the reality on the ground. The ideal of a community and an organization working in partnership to ensure the sustainability of open source software was the impetus for the Lyrasis Organizational Home for Community Supported Technologies. Through the Organizational Home\, Lyrasis serves as a fiscal agent and sponsor for open technologies for digital cultural heritage and scholarship. After more than ten years\, the Organizational Home has evolved to include five very different community-supported programs: ArchivesSpace\, CollectionSpace\, DSpace\, Fedora\, and VIVO. In 2024\, an analysis was conducted to assess the model’s effectiveness and identify changes needed to sustain its mission as a program partner\, while ensuring the sustainability of these programs and itself. This effort was undertaken in collaboration with the staff and governance of the five programs and with the intention of full transparency into the process. The project briefing will present a review of the process\, including its findings and outcomes with the Director of Community Supported Technologies at Lyrasis and Organizational Home program chair. The panel will explore whether Lyrasis met its goals (from the perspective of Lyrasis as well as from the programs) and what lessons might be shared and applied about the challenges and hopes for an open and sustainable technical infrastructure for scholarship and cultural heritage.\n\nhttps://lyrasis.org/organizational-home/
CATEGORIES:PROJECT BRIEFING
LOCATION:Regency A\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:ea8206716ba6ca60af4a384ac78edfe4
URL:http://cnispring2026.sched.com/event/ea8206716ba6ca60af4a384ac78edfe4
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260414T150000Z
DTEND:20260414T154500Z
SUMMARY:4.2 Navigating AI Disclosure Shifts: From Compliance to Fitness for Purpose
DESCRIPTION:Emerging international frameworks for disclosing artificial intelligence (AI) use are impacting how scholarship\, libraries\, universities\, and publishers approach transparency. This session introduces the AI Transparency Declaration\, the AI Disclosure (AID) Framework\, and the broader landscape of Enacting AI disclosure in scholarly publishing through brief project presentations and an interactive conversation with the audience.\n\nSergio Santamarina (National University José Clemente Paz) will provide brief recorded comments and be available for questions via Zoom. \n \nhttps://codeberg.org/ssantamarina/AI-Transparency-Declaration\nhttps://crln.acrl.org/index.php/crlnews/article/view/26548/34482\nhttps://openanthroresearch.org/index.php/oarr/preprint/view/435
CATEGORIES:PROJECT BRIEFING
LOCATION:Regency C\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:a13b25100a87afde1e3bfdd6b72db0cb
URL:http://cnispring2026.sched.com/event/a13b25100a87afde1e3bfdd6b72db0cb
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260414T150000Z
DTEND:20260414T154500Z
SUMMARY:4.3 Downloading Millions of Files from Internet Archive: Two Approaches
DESCRIPTION:Washington University (WashU) Libraries and the University of Kentucky Libraries have recently completed downloading millions of previously uploaded digitized files from the Internet Archive. This process was part of larger migration projects at both institutions: WashU's Newman Numismatic Portal's 76\,000 assets are migrating to AM Quartex\, and the University of Kentucky Libraries Kentucky Digital Newspaper Program's 86\,000 assets were recently copied to a new local online discovery interface powered by Ex Libris Primo. This briefing will share background information on both institution's asset migration projects and details on the tools used\, including the Internet Archive API\, the command line interface from Internet Archive\, and ChatGPT to assist with writing Python code to achieve this. Staff from both libraries will share how they independently developed workflows and discuss goals and desired outcomes that inspired the work\, including preservation and access.\nhttps://kdnp.uky.edu\nhttps://journal.code4lib.org/articles/18510\nhttps://nnp.wustl.edu/
CATEGORIES:PROJECT BRIEFING
LOCATION:Regency D\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:b6ae8eb5b03690c654af36acadb06e32
URL:http://cnispring2026.sched.com/event/b6ae8eb5b03690c654af36acadb06e32
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260414T154500Z
DTEND:20260414T160000Z
SUMMARY:Passing Break
DESCRIPTION:\n
CATEGORIES:BREAK
LOCATION:Regency Foyer\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:0cc7c191d46c3fe35ce28c4cb0f2daca
URL:http://cnispring2026.sched.com/event/0cc7c191d46c3fe35ce28c4cb0f2daca
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260414T160000Z
DTEND:20260414T163000Z
SUMMARY:5.1 Tipping the Scales—Balancing Information Security and User Needs to Rebuild Specialist Digital Resources
DESCRIPTION:In response to an increased and very real threat of cyberattack (as the United Kingdom recovers from the impact of the attack at the British Library)\, the Bodleian Libraries took the difficult decision to switch off 20 at-risk 'Specialist Digital Resources' in December 2024. The vocal comments from users demonstrated significant communities that were originally hidden. What looked on the surface like 'legacy resources' were still vital research tools\, and it was important to make them available online again as quickly as possible. To do this\, the Libraries had to be agile and creative but also strategic. To prevent similar cyber risks in the future\, the Libraries developed infrastructure that was sustainable in the long term while also providing the familiar functionality and access to collections that researchers needed. This presentation will look at the lessons learned through the process—some predictable\, some unexpected—now that 13 of the resources are available online again. It will also consider the role of library leaders to set strategic direction while balancing different and at times conflicting user\, technological\, and security needs.
CATEGORIES:PROJECT BRIEFING
LOCATION:Regency A\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:b71acd8e8869b4085569b338a885dce0
URL:http://cnispring2026.sched.com/event/b71acd8e8869b4085569b338a885dce0
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260414T160000Z
DTEND:20260414T163000Z
SUMMARY:5.2 Leveraging the ARL/CNI AI Scenarios: Reflections from Two Universities
DESCRIPTION:The ARL/CNI AI Scenarios: AI-Influenced Futures was designed to guide readers through envisioning possible futures\, ten years out\, in which artificial intelligence (AI) has reshaped the landscape of research\, higher education\, and research libraries. In 2025\, teams at Johns Hopkins University (JHU) libraries and the University of Delaware (UD) Library\, Museums and Press deployed the scenarios to facilitate strategic planning conversations about AI in their institutions' libraries. These two institutions differ in significant ways\, from their private/public status to their current centralized/distributed methods of supporting AI at the university. Yet\, both planning processes leveraging the AI Scenarios surfaced similar strategic priorities\, including the necessity for cross-institutional partnerships\, staff upskilling\, and cultural shifts within libraries around the knowledge\, use\, and implementation of AI. In both meetings\, participants recognized various tensions\, such as the value of openness versus embargoing of digitized collections\, particularly as unique library materials hold unique value for large language model training.\n\nThis session will share how the JHU and UD teams ran internal strategic planning sessions using the AI Scenarios\, detail the strategic themes that emerged during these discussions\, and share how each is prioritizing and implementing findings at their institutions. During this session\, the presenters will invite attendees to reflect on their own experiences in strategic planning\, implementation\, and navigation of organizational culture change in the context of AI. Attendees will have learned how the AI Scenarios were facilitated and analyzed at two very different institutions\, providing the attendees with a strategy to either engage in the scenarios at their own institution or to learn from the unified findings from these two institutions.
CATEGORIES:PROJECT BRIEFING
LOCATION:Regency C\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:90334a5b6780ae685b1c8e00fcc87b86
URL:http://cnispring2026.sched.com/event/90334a5b6780ae685b1c8e00fcc87b86
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260414T160000Z
DTEND:20260414T163000Z
SUMMARY:5.3 Sustaining Cultural Heritage Networks: A "Wicked Problem" and A Better Future
DESCRIPTION:Over the last thirty years\, libraries\, archives\, and museums (LAMs) have built large-scale networks to make cultural heritage collections more widely searchable and available\, including the Digital Public Library of America (DPLA) and its hubs\, (e.g.\, The Historically Black Colleges and Universities Digital Collection and Mountain West Digital Library)\, as well as aggregators of cultural heritage collection descriptions (ArchiveGrid\, Online Archive of California\, Archives West)\, and other crowd-sourced efforts like Social Networks and Archival Context. All have engaged key challenges of standards\, infrastructure\, metadata\, and of end users and their needs. However\, most aggregations have struggled to define their value and to garner financial and organizational sustainability. Most are dependent on federal funders\, foundations\, and R1 institutions. Final reports from the National Finding Aid Network project\, Allison-Bunnell's research\, and the issues behind DPLA's transition all point to the critical gap in this area. Yet to date\, there has been no cross-cutting analysis of these networks\, the projects that confronted and overcame these challenges\, and the successes and failures that will define the present and future of public knowledge and cultural heritage in the United States. The community can meet this existential moment with a thoughtful and informed reinvention of cultural heritage aggregation. This session will describe a new effort among key practitioners in this space and Ithaka S+R that proposes to find a new way forward for these large-scale networks. As the principals plan the project and seek out expertise on this economic and collective action challenge\, they will use the session to engage with the CNI community on economic models\, digital libraries\, metadata\, repositories\, and special collections.
CATEGORIES:PROJECT BRIEFING
LOCATION:Regency D\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:41896ad81b311b5cee860512e99b5c8d
URL:http://cnispring2026.sched.com/event/41896ad81b311b5cee860512e99b5c8d
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260414T163000Z
DTEND:20260414T170000Z
SUMMARY:Refreshment Break
DESCRIPTION:\n
CATEGORIES:BREAK
LOCATION:Regency Foyer\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:d08d7addc2b399c695d39b6694918220
URL:http://cnispring2026.sched.com/event/d08d7addc2b399c695d39b6694918220
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260414T170000Z
DTEND:20260414T180000Z
SUMMARY:6.1 Cybersecurity: Audits\, Proactive Actions\, and Relationships
DESCRIPTION:Higher education institutions and libraries are working to respond to ever-increasing cybersecurity threats and requirements. This panel will share experiences from a variety of libraries about responses to cybersecurity audits or incidents and their impact on operations. They will also discuss collaborations and proactive actions meant to help prepare for and mitigate future threats to our scholarly and archival data and systems.\n\nThis session will not be recorded.
CATEGORIES:PROJECT BRIEFING
LOCATION:Regency A\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:1e2473814c87d5d2feccec8445eee7fa
URL:http://cnispring2026.sched.com/event/1e2473814c87d5d2feccec8445eee7fa
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260414T170000Z
DTEND:20260414T180000Z
SUMMARY:6.2 Institutional Strategies for Building Comprehensive AI Programs in Academic Libraries
DESCRIPTION:From Strategy to Action: Building a Comprehensive GenAI Program in an Academic Library&nbsp\;\nJason Casden\, Amanda Henley\, and Rolando Rodriguez (University of North Carolina at Chapel Hill)\n\nOver the past two years\, the University of North Carolina (UNC) at Chapel Hill Library has developed and implemented a roadmap for supporting generative artificial intelligence (GenAI) needs on campus. These internal planning efforts positioned the Library to partner with campus-wide AI and IT leadership to design and deploy GenAI spaces\, services\, and tools. This project briefing will share the experience of establishing a GenAI portfolio across three themes: staff readiness\, internal research\, and public-facing services. Presenters will discuss the development of multiple individual projects\, including launching the Library AI Studio\, developing a GenAI instruction program\, establishing a GenAI fellowship for undergraduates\, incorporating GenAI into library workflows\, and creating PromptLab—a sandbox environment where all UNC affiliates can safely explore and compare multiple large language models. The project-based strategy included both top-down directives from library leadership and bottom-up initiatives such as staff-led pilots. Attendees will leave with concrete examples of ways to respond quickly and strategically to campus needs emerging from this transformative technology.\n\nhttps://library.unc.edu/ai/\nhttps://library.unc.edu/ai/library-ai-studio/\nhttps://library.unc.edu/ai/generative-ai-research/\nhttps://library.unc.edu/ai/library-ai-studio/promptlab/\nBuilding AI Readiness: A Multi-Pronged Approach at the University of Toronto Libraries&nbsp\;\nJacqueline Whyte Appleby (University of Toronto/Scholars Portal\, Ontario Council of University Libraries) and Jess Whyte (University of Toronto)\n\nAcademic libraries stand at an inflection point with artificial intelligence (AI)—neither early enough to wait and see\, nor late enough to rely on established best practices\, which are still emerging and contested. The University of Toronto Libraries has developed a practical\, multi-pronged strategy for building organizational AI readiness in this ambiguous middle ground in partnership with Scholars Portal\, a shared infrastructure provider and digital preservation platform for Canadian academic libraries based at the University of Toronto. This presentation will discuss two complementary initiatives—one focused on collection readiness and one on Model Context Protocol development—that allowed the Library to explore infrastructure development\, staff capacity building\, and modes of user engagement in this space.
CATEGORIES:PROJECT BRIEFING
LOCATION:Regency C\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:ac2e229d59d17080a0334312a9ecab9f
URL:http://cnispring2026.sched.com/event/ac2e229d59d17080a0334312a9ecab9f
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260414T170000Z
DTEND:20260414T180000Z
SUMMARY:6.3 Sustaining the Public Record: Collaborative Stewardship of Government Information and Research Data
DESCRIPTION:Collaborative Stewardship of Government Information Across Legacy and Born-Digital Formats&nbsp\;\nMerrilee Proffitt (Democracy's Library US\, Internet Archive)\n\nThis presentation will overview how the Internet Archive\, Internet Archive Canada\, and the Institute of Governmental Studies Library at the University of California (UC) Berkeley have collaborated to preserve and provide open access to government records and publications across legacy analog formats (books\, paper records\, microforms) and contemporary born-digital content. Drawing on efforts including the digitization of important federal materials in both Canada and the United States\, the US End of Term web archive\, and the LoCal Digitization Project's ongoing unification of dispersed local government documents\, the session will explore how cross-institutional stewardship can enable new forms of research and public use. Beyond capture\, the session focuses on designing collections and services responsive to researcher workflows\, including longitudinal and cross-jurisdictional analysis\, improved discovery\, bulk access\, and computational use. It will discuss prioritizing collections\, metadata strategies\, and infrastructure decisions. Because government information and publications are widely and redundantly held across CNI member institutions\, the session will highlight opportunities for coordinated digitization\, aggregation\, and service development that extend the impact of work already underway. The presentation was developed in collaboration with Kathryn Stine (Digitization Project Planner\, Institute of Governmental Studies Library\, UC Berkeley)\, Kris Kasianovitz (Director\, Institute of Governmental Studies Library\, UC Berkeley)\, and Andrea Mills (Executive Director\, Internet Archive Canada). \n\nhttps://archive.org/details/democracys-library\nhttps://igs.berkeley.edu/library/ca-local-documents-digitization-project\n&nbsp\;\nBuilding a Resilient Ecosystem for Publicly-Funded Research Data \nKristi Holmes (Northwestern University)\n\nThe Center for Open Science\, with support from the Robert Wood Johnson Foundation\, is leading a community-driven initiative to develop a strategic plan to ensure the long-term preservation\, accessibility\, and usability of publicly funded scientific data. This project emerged in response to the 2025 sudden removal of public data from multiple federal agency websites\, highlighting critical vulnerabilities in scientific data infrastructure. The initiative convenes experts across research\, policy\, and data infrastructure to coordinate approaches that strengthen and sustain access to data generated through federal funding. The project aims to complement existing efforts by developing a framework for long-term stewardship of federally funded scientific data. Focus areas include monitoring at-risk repositories\, ensuring the resilience of data repositories\, promoting repository sustainability and resilience\, and developing an outreach and advocacy framework to raise awareness among researchers\, funders\, policymakers\, and the public. This effort aims to inform community-wide data stewardship practices and support the broader movement toward transparent and sustainable research data management. \nhttps://www.cos.io/ensuring-preservation-accessibility-usability-of-public-data\n\nDocumenting Disruption: Collecting and Communicating About Rapid Change in the Scientific Enterprise (Lightning Talk)\nTrevor Owens (American Institute of Physics)\n\nAmid rapid policy and funding shifts under the second Trump Administration\, the American Institute of Physics is leading efforts to document and preserve records and data of disruption across the US physical science enterprise. This talk highlights how an interdisciplinary team of historians\, librarians\, archivists\, and social scientists is building infrastructures to capture contemporary change through story collecting\, data analysis\, and digital preservation. These initiatives aim not only to inform future scholarship but to empower communities today to navigate and shape scientific futures. We invite collaborators from across the CNI community to collaborate and help document\, preserve\, and explore change and resilience in the scientific enterprise.\n\nhttps://www.aip.org/library/ex-libris-universum/physical-science-careers-disrupted\nhttps://www.aip.org/statistics/impacts-of-restrictions-on-federal-grant-funding-in-physics-and-astronomy-graduate-programs\nhttps://www.aip.org/library/ex-libris-universum/adding-your-photos-to-the-story-of-science-is-now-easier-than-ever\nhttps://www.aip.org/library/ex-libris-universum/join-us-in-documenting-celebrating-womens-contributions-to-the-physical-sciences
CATEGORIES:PROJECT BRIEFING
LOCATION:Regency D\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:101b16557d9242e4ab1e1c0267b1bb74
URL:http://cnispring2026.sched.com/event/101b16557d9242e4ab1e1c0267b1bb74
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260414T180000Z
DTEND:20260414T190000Z
SUMMARY:Lunch
DESCRIPTION:\n
CATEGORIES:MEAL
LOCATION:Regency B\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:91a621a824941dd2ba4f0b15baccaee3
URL:http://cnispring2026.sched.com/event/91a621a824941dd2ba4f0b15baccaee3
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260414T190000Z
DTEND:20260414T193000Z
SUMMARY:7.1 Rethinking Institutional Repositories: Leveraging IIIF to Unlock Archival Productivity
DESCRIPTION:Institutional Repositories (IRs) were envisioned in academic libraries as comprehensive platforms capable of supporting open access publishing\, research outputs\, and digitized special collections within a single system. In practice\, however\, most IRs and related digital asset management software (DAMS) were not designed around archival principles or data structures\, often resulting in duplicative metadata creation\, digital materials separated from their archival context\, and workflows that could not fully leverage archival efficiencies at scale. Over time\, these design limitations have carried significant organizational consequences\, contributing not only to miscommunication between digital and archival processes within libraries but also to the development of multiple publicly funded repository platforms with overlapping scopes in New York State and beyond. This presentation examines these systemic challenges and argues that the emergence of IIIF\, combined with the IMLS-funded ArcLight Integration Project and the Delivering Archives and Digital Objects Conceptual Model (DadoCM)\, offers a path forward. By clearly articulating archival requirements and enabling greater interoperability\, academic libraries can move toward repository architectures that reduce redundancy\, better leverage automation\, and more fully realize the broad institutional vision that originally motivated IR development.\n\nPLEASE NOTE: This session is 30 minutes (1-1:30 p.m.)\n\nhttps://archives.albany.edu/arclight_integration/\nhttps://dadocm.github.io/
CATEGORIES:PROJECT BRIEFING
LOCATION:Regency A\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:9ece6b72c6134498dfbad78032776732
URL:http://cnispring2026.sched.com/event/9ece6b72c6134498dfbad78032776732
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260414T190000Z
DTEND:20260414T200000Z
SUMMARY:7.2 From Accessibility to Extraction: AI Applications and Evaluation Frameworks for Collections
DESCRIPTION:Scoring AI for Accessibility: A Rubric-Based Framework\nSarah Cogley and Stacy Snyder (University at Buffalo\, SUNY) \nThis briefing explores a comprehensive evaluation of generative AI tools for creating alternative text and long descriptions for digital collections at the University at Buffalo Libraries. Prompted by the need to address extensive accessibility remediation as required by the Americans with Disabilities Act Title II regulations\, the project team analyzed outputs from three AI tools using a rubric designed to assess three criteria: factual accuracy and correctness\, relevance and task completion\, and clarity and communication quality. Findings showed limitations of current AI technologies\, such as hallucination\, omission of key visual elements\, and cultural insensitivity. The briefing will discuss challenges\, such as how to evaluate tools that are emerging and dynamic\, establishing guidelines and best practices for accessible metadata in digital collections that contain diverse content and format types\, and how to integrate AI in digital collections workflows in a scalable and sustainable way. The presenters will highlight lessons applicable across institutions\, including the importance of cross-unit collaboration with colleagues in user experience and accessibility\, and will share the rubric\, workflows\, and project documentation.\n\nUsing Artificial Intelligence to Extract and Understand Cultural Heritage Materials\nPaul Gallagher (Western Michigan University) Much of our cultural legacy is hidden. Despite decades of effort to convert paper documents to electronic form\, many issues still impact users' ability to discover content. Traditional optical character recognition only works so well\; handwritten documents need manual transcription\; and digital content platforms don't always provide researchers with meaningful ways to interact with historic content. In this presentation\, learn how one library is working with emerging artificial intelligence (AI) models to extract text from heavily degraded documents and historic handwriting\, using modern "vibe-based" application development to present cultural legacy items in a new way. Learn what tools are available\, how they are best used\, and how declining technical barriers will make this more accessible to information professionals. Gain a deeper understanding of powerful uses of AI beyond chat models\, and how these approaches may benefit your own organization. Drawing on lessons from a recent project\, this session is designed for librarians\, archivists\, and digital humanities practitioners interested in practical applications of AI for cultural heritage materials—regardless of technical background.
CATEGORIES:PROJECT BRIEFING
LOCATION:Regency C\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:ea46954fa177d4eef795928f941538e9
URL:http://cnispring2026.sched.com/event/ea46954fa177d4eef795928f941538e9
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260414T190000Z
DTEND:20260414T200000Z
SUMMARY:7.3 From Scan to Discovery: Responsible AI and Open Source Strategies for Document and AV Access
DESCRIPTION:Expanding Access to Historic Scanned Documents Using R's Tesseract Package\nAdelynn Shirts and David Advent (Utah State University)\nUtah State University's Institutional Repository\, DigitalCommons@USU\, hosts over 100\,000 PDF documents\, many of which were originally printed pre-1975 and then later scanned. As such\, they lack embedded text layers\, rendering them inaccessible to screen readers without additional processing. A scalable pipeline was built to identify documents lacking embedded text and perform optical character recognition (OCR)\, making the content accessible to screen readers. Two preprocessing functions deskew\, denoise\, and enhance document clarity prior to performing OCR. Dictionary coverage from light and heavy preprocessing functions were compared: light preprocessing was computationally faster but resulted in less dictionary coverage\, while heavy preprocessing added a modest amount of time and increased dictionary coverage slightly. After evaluating outputs\, it was determined that the dictionary coverage of documents lacking embedded text layers were similar to those containing embedded text layers. While this doesn't make documents exactly compliant with Americans with Disabilities Act standards\, it is an important first step in working towards accessibility for older publications\, especially considering the open source nature of the code and process.\nhttps://github.com/ashirts/Expanding-Access-to-Historic-Scanned-Documents\n\nImproving Accessibility and Discoverability Utilizing Open Source Models in a Novel Modular Design\nBrian McBride\, Harish Maringanti\, and Bohan Zhu (University of Utah)\n\nUniversity libraries are under growing pressure to expand access and improve discovery while meeting new accessibility expectations for &nbsp\;digital collections. At the University of Utah's J. Willard Marriott Library\, the digital infrastructure development team is building a flexible\, modular workflow to help bring large audio-visual (AV) collections into alignment with the Department of Justice accessibility requirements at scale. The platform orchestrates open source speech-to-text and language models to generate time-aligned transcripts and captions\, structured segmentation\, word clouds\, entity recognition\, and descriptive metadata that improves both compliance and discoverability. The session will highlight the &nbsp\;implementation approach\, early results\, and lessons learned including human review checkpoints\, staff support and buy-in\, provenance and auditability\, and how adaptable workflows are being designed &nbsp\;as models and standards evolve. The session will also focus on practical strategies other institutions can reuse to accelerate accessible AV delivery without locking into a single vendor or toolchain and the team’s future development plans for supporting other formats\, including images\, PDFs\, and other formats.\n\nStrategies for Responsible AI in Manuscript Transcription (Lightning Talk)\nSara Brumfield (FromThePage)\n\nFromThePage is a crowdsourcing platform for archives and libraries where volunteers transcribe\, index\, and describe historic documents. This talk will overview how the platform and community are making decisions that make the use of artificial intelligence (AI) in historical document transcription transparent\, optional\, and tentative\, including topics such as:\n- Optional usage of AI by transcribers and institutions\n- Surfacing and logging use of AI drafts\n- Provenance in exports showing both AI and human contributions\n- Detecting unauthorized use of AI\n- Measuring accuracy\n\nhttp://www.fromthepage.com\n \n\n\n
CATEGORIES:PROJECT BRIEFING
LOCATION:Regency D\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:ae176d9ac5797a48d7eb0322b9cd007e
URL:http://cnispring2026.sched.com/event/ae176d9ac5797a48d7eb0322b9cd007e
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260414T200000Z
DTEND:20260414T201500Z
SUMMARY:Passing Break
DESCRIPTION:\n
CATEGORIES:BREAK
LOCATION:Regency Foyer\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:f2286bdfaeb71c111500f0d8e8a8658a
URL:http://cnispring2026.sched.com/event/f2286bdfaeb71c111500f0d8e8a8658a
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260420T224213Z
DTSTART:20260414T201500Z
DTEND:20260414T213000Z
SUMMARY:Closing Plenary: Harnessing the Data Renaissance for Scientific Discovery
DESCRIPTION:The current data renaissance\, accelerated by advances in artificial intelligence\, is reshaping the landscape of research\, scholarship\, and innovation. Yet unlocking this potential requires more than scale alone. It calls for a transdisciplinary approach that brings together diverse data and computational infrastructure along with multidisciplinary expertise across institutions.\n\nDespite the rapid expansion of digital data and widespread access to powerful computing\, building effective\, responsible\, and reusable data-driven research workflows remains a persistent challenge. Issues of discovery\, access\, interoperability\, governance\, and sustainability continue to limit the full realization of data-driven science.\nIn this talk\, Parashar will explore the critical role of democratizing access to open data and shared cyberinfrastructure in enabling equitable and responsible data use. He will also introduce the vision\, architecture\, and deployment of the National Data Platform as part of a broader national cyberinfrastructure effort. This initiative aims to catalyze a more open\, extensible\, and interoperable data ecosystem that supports discovery\, collaboration\, and long-term stewardship across the research enterprise.
CATEGORIES:PLENARY
LOCATION:Regency A\, Salt Lake City\, UT\, USA
SEQUENCE:0
UID:dd9a5e00bf61a76ff1baa9ade0dac775
URL:http://cnispring2026.sched.com/event/dd9a5e00bf61a76ff1baa9ade0dac775
END:VEVENT
END:VCALENDAR