How AI Is Transforming Research: From Idea to Impact

Wednesday, April 15, 2026
11 a.m. ET – 12 p.m. ET

This webinar was recorded and can be viewed in the SSP OnDemand Video Content library. To purchase, either log in or create an account, then register at the appropriate rate. Learn more about what’s available in the OnDemand Library.

Artificial intelligence (AI) is no longer a speculative technology in scholarly communications—it is embedded in the daily workflows of researchers, students, and content consumers. There is however an organizational knowledge gap to understand how these tools are used, what issues they address, or how they impact information discovery, reading, synthesis, and decision-making. This one-hour virtual session will examine real-world, practitioner-driven use cases that illustrate AI’s influence on research behaviors and content consumption patterns across disciplines and career stages. Panelists will share concrete examples of AI use in literature review, summarization, data interpretation, workflow acceleration, and content consumption.

The session will also explore the implications of these evolving practices for publishers, societies, and service providers, including trust, transparency, and emerging ethical considerations. When relevant, a concise case presentation will illustrate how ethical considerations arise in the daily application of AI and how individuals address these issues in practice.

Key Learning Objectives
By the end of this session, participants will be able to:

• Identify how researchers and readers are currently using AI tools in everyday scholarly and educational workflows, beyond formal pilot programs.
• Understand how AI is changing information consumption patterns, including reading behavior, search strategies, synthesis, and reliance on primary versus secondary sources.
• Distinguish between experimental, assistive, and decision-shaping uses of AI, and assess where the greatest opportunities and risks lie for scholarly organizations.
• Recognize emerging ethical considerations associated with routine AI use, including transparency, attribution, bias, and over-reliance on automated outputs.
• Translate observed user behaviors into actionable insights for publishing strategy, product development, policy setting, and community education.

This session is designed to equip SSP members with grounded insight into current AI usage patterns—helping organizations respond thoughtfully, realistically, and responsibly to rapidly evolving user practices.

Moderator: 

Chhavi Chauhan, Founder and President, Samast AI
Dr. Chhavi Chauhan is the Founder and President of Samast AI, Director of Scientific Outreach at the American Society for Investigative Pathology, and serves on the Boards for various mission-driven organizations in the spheres of scholarly publishing, digital pathology, AI Ethics, & youth education. She is a former biomedical researcher, expert scholarly communicator, and a sought-after mentor in the fields of scientific research, scholarly publishing, and AI Ethics, especially for women and minorities. She has gathered several awards and accolades in each of these domains. She is a thought leader, a renowned international speaker, an award-winning author, and a strong advocate for equitable and accessible healthcare.

Speakers: 

Xuan Wang, Associate Professor in the Department of Information Systems at The University of Texas Rio Grande Valley (UTRGV)
Dr. Xuan Wang is an Associate Professor in the Department of Information Systems at the University of Texas Rio Grande Valley, with expertise in big data analytics, causal inference, and artificial intelligence. She earned her Ph.D. in Information Systems & Decision Sciences from Louisiana State University. She has developed a broad research portfolio focused on data-driven decision-making, AI-powered clinical decision support systems, and user behavior in the area of healthcare recently. Her work has been published in high-impact journals and major conferences, and I have secured several research grants, including the NIH AIM AHEAD Fellowship. As an educator, she has designed and taught a wide range of undergraduate and graduate courses in business analytics and have mentored both doctoral and master’s students. She is also actively engaged in academic service, holding leadership roles in curriculum development, faculty reviews, and Ph.D. program coordination, while contributing as a reviewer and editor for major journals and conferences in the information systems field.

Giovanni Cacciamani, Urologist and surgeon-scientist
Dr. Giovanni Cacciamani is an internationally recognized urologist and surgeon-scientist specializing in oncological diseases, patient safety, and the integration of artificial intelligence in healthcare. He is an Associate Professor of Urology and Radiology Research at the University of Southern California (USC) and Director of the Artificial Intelligence Center for Surgical and Clinical Applications in Urology, leading research at the intersection of urology, technology, and clinical innovation. Dr. Cacciamani serves as Associate Editor of the Journal of Urology for the Innovation and AI section. He has authored around 350 scientific publications (H-Index 40) and delivered more than 200 lectures worldwide on emerging technologies, AI, and digital medicine in urology. His laboratory at USC is currently exploring Generative AI applications in healthcare, with the goal of making AI tools practical and accessible for physicians. Dr. Cacciamani is the Principal Investigator of the CANGARU global initiative, which promotes the ethical use of Generative AI in academia. He is also co-founder of EditorAI Pro and CTO of Pub2Post, an agent-AI solution designed to expand the global dissemination and accessibility of scholarly research.

Meaghan Brown, Associate Director Digital at John Carter Brown Library
Dr. Meaghan J. Brown, PhD and MLS, is the Associate Director of Digital Asset Management at the John Carter Brown Library in Providence, RI. She has previously served as a Digital Production Editor at the Folger Shakespeare Library, as a member of the TEI Technical Council, and as a senior program officer at the National Endowment for the Humanities, overseeing the first iterations of the Humanities Research Centers on Artificial Intelligence program. Her research has ranged from data modeling and documentary editing to studies of sixteenth-century English propaganda to bibliometric analyses of how scholars cite rare book libraries (spoiler: not well). She is deeply interested in the implications of AI for library and museum spaces and the research they support. 

Webinar Registration Pricing:

SSP Member Registration - $55 
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No refunds will be processed for webinars. SSP encourages you to send a substitute in your place if you cannot attend and the webinar is recorded and available to registered attendees for 60 days after the broadcast. SSP reserves the right to cancel any program. In the unlikely event of cancellations, we will refund your registration fee, however, SSP is not responsible for any costs, damages, or other expenses of any kind incurred by registrant. Speakers are subject to change without notice. 

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