Upcoming Webinars and Events
ASIS&T Webinars, your source for online live and on-demand content created by the Association for Information Science & Technology, are free to ASIS&T members. Our webinars connect you with experts and global thought leaders in information science, management, and business on relevant professional issues.
Europe Chapter - Coffee with the Editors of "Exploring Contemporary Classification Practices"
Tuesday, March 24, 2026 (8:00 AM - 9:00 PA) (EST)
Sponsored by: Europe Chapter
The ASIS&T Europe Chapter invites you to a networking event with editors Jack Andersen & Joacim Hansson to discuss their recent book Exploring Contemporary Classification Practices.
Webinar: Passing it On: Preparing for Promotion in the Academy
Thursday, March 26, 2026 (10:00 AM - 11:00 AM) (EDT)
Academics experience many changes over the course of a long career. For mid-career professionals working towards their next career milestone, maintaining momentum, avoiding burnout, and adjusting to changing workloads can be challenging. This presentation will address how academics can plan their career trajectory, how to prepare for promotion consideration, and what evaluators are likely to look for when assessing a candidate for promotion. Attendees will learn how to: 1) plan their academic career trajectory with promotion in mind 2) prepare for promotion consideration 3) understand how evaluators assess a candidate for promotion.
Welcome Wednesday - April 2026
Wednesday, April 1, 2026 (8:00 AM - 9:00 AM) (EST)
Learn more about ASIS&T and your membership benefits by attending a New Member Welcome Wednesday. If you are not yet a member of ASIS&T and wish to learn more about the organization, please contact membership@asist.org.
Webinar: Generating Smart Data for Diverse Cultural Heritage Resources in the New Era of AI — Exploring the Opportunities and Challenges
Wednesday, April 2, 2026 (9:00 AM - 10:00 AM) (EST)
Sponsored by: ASIS&T South Asia Chapter in collaboration with the DCMI Education Committee
Smart data means the trusted, contextualized, relevant, cognitive, predictive, and consumable data at any scale, revealing the most important V(value) of big data. In the new era of AI, smart data may be efficiently processed using AI technology while also being used by AI to generate intelligent applications and produce high-quality data. However, since information-bearing cultural heritage (CH) entities are usually non-textual and non-machine-readable, generating smart data for diverse CH resources presents complexities in data processing. This webinar will bring some special cases in recent innovative research projects in the world, involving processing of manuscripts (carried on different materials), symbols, images, sound, scent, museum objects, rock arts, etc. The challenges and potentials of using AI-assisted automatic processing in this context, and the role of knowledge organization systems (KOS) in improving the quality of the AI applications are very important and necessitate better understanding.
2026 IDEA Institute - Virtual Certificate Course on AI
April 20-23, 2026
Artificial Intelligence (AI) is a disruptive but transformative technology that can bring value to libraries by enabling increased library use, optimizing collection analysis, and enhancing the user experience. Library and information professionals must keep abreast of advances in AI technologies in order to provide innovative and value-added services, access, and collection development. Issues about inequality, discrimination, data privacy, and bias, combined with the costs and evolving nature of AI, influence the adoption of AI in academic, research, and other libraries and information environments.
Webinar: AI and ML Aapproaches for Improving Biomedicine and Healthcare (SIG-HLTH)
Tuesday, April 28, 2026 (1:30 PM - 2:30 PM) (EST)
Sponsored by: SIG-HLTH
Major advances in AI are linked inseparably to biomedicine and healthcare. The use cases in the earliest AI experimental research initiatives investigated automated diagnosis of infections. In the current times, AI technologies have been deployed and evaluated across the full-length of biomedicine and healthcare pipeline--starting with discovery and reaching to patient engagements and education. In this talk, the critical challenges associated with some of the primary areas in biomedicine and healthcare applications will be described, along with novel AI methods for tackling them. The areas to be discussed include hypotheses generation, diagnosis, treatments, care delivery, patient engagements, secondary analysis, and research evidence production. The talk will conclude with an overview of how AI can be effectively deployed for supporting and sustaining a learning health system.
Webinar: Passing it On: Up, Down, and Sideways: A Dean’s-eye View of Working with Leadership and Peers
Thursday, May 7, 2026 (10:00 AM - 11:00 AM) (EST)
As part of the Passing it On series, Dean Eric T. Meyer of the UC Berkeley School of Information will share insights based on his eight years as a dean at two large research-intensive universities on how to work with campus leadership such as provosts and presidents/chancellors and with peers on campus including other deans and vice/associate provosts/chancellors/presidents. Dean Meyer has worked directly with 5 provosts, 3 chancellors/presidents, and over 70 deans. In this session, he will share some of his practical observations and insights, and then answer audience questions.
Webinar: Cognitive Architecture for Digital Engagement: Structuring Information for Retention in Mobile-First Environments
Thursday, May 14, 2026 (11:00 AM - 12:00 PM) (EST)
Information systems are often evaluated using exposure-based metrics, such as page views, and interaction-based metrics, such as clicks, likes, and shares. However, these measures do not reliably reflect meaningful knowledge acquisition and retention. In high-choice, mobile-dominant environments, user persistence can be shaped less by topic relevance alone and more by structural architecture. This webinar introduces the Digital Engagement Model, a research-based framework integrating cognitive psychology, communication, information behavior theory, human–computer interaction and journalism. The model distinguishes exposure from retention and explains how digital structure can influence minute-by-minute cognitive processing after information is selected or retrieved. The session presents two interacting systems: (1) user constraint variables—demographics, interests, environment, and time—and (2) structural design mechanisms to generate situational interest—modular segmentation, declarative framing, structured curiosity sequencing, and calibrated interactivity. Drawing on empirical testing of a diverse sample of 1,600 participants, the webinar demonstrates how architectural decisions influence cognitive persistence beyond the initial attention peak. This topic is relevant to information science professionals and researchers working in user experience, information retrieval, digital repositories, educational technology, and knowledge system design. It extends conversations in information behavior research by examining how structural design influences whether they continue processing and retain information.
Information Science Summit & Special Libraries Conference
June 6-9, 2026 | Albuquerque, New Mexico
This meeting will be the second Information Science Summit and the first Summit combining the ISS with the Special Libraries Conference which carries on the tradition of the very successful SLA Annual Conference. The meeting will explore new frontiers of information science and librarianship through the lens of both practicing information scientists and academic researchers. It will bring together the people who tackle wicked information challenges every day with those who study the best practice in solving wicked information challenges.
Webinar: Meet the Author: Behind the Startup: How Venture Capital Shapes Work, Innovation, and Inequality
Thursday, June 25, 2026 (12:00 PM - 1:00 PM) (EST)
In recent years, dreams about our technological future have soured as digital platforms have undermined privacy, eroded labor rights, and weakened democratic discourse. In light of the negative consequences of innovation, some blame harmful algorithms or greedy CEOs. Behind the Startup focuses instead on the role of capital and the influence of financiers. Drawing on nineteen months of participant-observation research inside a successful Silicon Valley startup, this book examines how the company was organized to meet the needs of the venture capital investors who funded it. Investors push startups to scale as quickly as possible to inflate the value of their asset. Benjamin Shestakofsky shows how these demands create organizational problems that managers solve by combining high-tech systems with low-wage human labor. With its focus on the financialization of innovation, Behind the Startup explains how the gains generated by these companies are funneled into the pockets of a small cadre of elite investors and entrepreneurs. To promote innovation that benefits the many rather than the few, Shestakofsky compellingly argues that we must focus less on fixing the technology and more on changing the financial infrastructure that supports it.
2026 Annual Meeting
November 6-9, 2026 | Bangkok, Thailand
Information scientists and practitioners have critical roles to play in “leading reflection, debate, and respectful balance” as we consider the global future of AI. Information science should play a greater role in creating policy, theories of ethical information use, and insightful models of information use that can be part of a better solution for Human-AI interaction in these turbulent and complex times.
ASIS&T webinar registrants will receive a link to the webinar recording after the event. All past ASIS&T webinar recordings can also be found in the Past ASIS&T Webinars community in iConnect.