Make Your Science Gateway Discoverable: A Practical Tutorial on AI and Search Optimization - Tutorial
As artificial intelligence (AI) systems increasingly mediate access to scientific information, ensuring that Science Gateways are discoverable by both human users and AI inter- faces has become a critical priority. This tutorial introduces the emerging discipline of Artificial Intelligence Optimization (AIO), in conjunction with updated search optimization methodologies, to improve the visibility and accessibility of Science Gateways across AI-driven and academic discovery platforms. Attendees will explore methods for identifying prompt patterns that influ- ence inclusion in AI-generated results, applying content clarity techniques to reduce misinterpretation by large language models (LLMs), and structuring content for optimized retrieval by both AI systems and traditional search algorithms. Drawing on case studies and domain expertise, Noreen Whysel and Shari Thurow of the Information Architecture Gateway will highlight frequent AIO challenges and demonstrate best practices. This session is intended for Science Gateways researchers and developers who are looking to enhance usability, credibility, and overall scientific reach.
Institutions
- ID-FISH Technology (United States) (US)
- Gateway Seminary (US)
- New York City College of Technology (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-10-26
- DOI
- https://doi.org/10.5281/zenodo.17449392
- Primary Topic
- American Environmental and Regional History
- Type
- article
- Field-Weighted Citation Impact
- 0.00