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

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
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article

Make Your Science Gateway Discoverable: A Practical Tutorial on AI and Search Optimization - Tutorial

Zenodo (CERN European Organization for Nuclear Research)
American Environmental and Regional History
article

Make Your Science Gateway Discoverable: A Practical Tutorial on AI and Search Optimization - Tutorial

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
ID-FISH Technology (United States) (US), Gateway Seminary (US), New York City College of Technology (US)
Quality Education
Openalex Percentile: Top 37%
American Environmental and Regional History
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