Published September 9, 2026 | Version v1

GAIDeT – Making AI Use in Research Visible, Comparable and Reusable

  • 1. ROR icon Borys Grinchenko Kyiv Metropolitan University
  • 2. ROR icon Berdyansk State Pedagogical University

Description

This poster was presented at the 30th Annual International Conference on Science and Technology Indicators (STI-ENID 2026), held in Antwerp, Belgium, 9–11 September 2026.

The poster presents GAIDeT as an approach for moving from narrative generative AI-use disclosures towards structured, machine-readable research information. It illustrates how GAIDeT-based descriptions could become reusable metadata within scholarly infrastructures and provide contextual information for scientometrics and research evaluation.

This poster accompanies the conference paper From citation metrics to LLM judgement: a GAIDeT-based framework for structured AI disclosure. 

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Additional details

Related works

Is derived from
Journal article: 10.1080/08989621.2025.2544331 (DOI)
Is supplemented by
Conference paper: 10.5281/zenodo.22670373 (DOI)