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Conference Resources

Sensometrics 2026 Conference Resources

Posters, slides, and applied methods from Aigora at Sensometrics 2026.

Event: Sensometrics 2026

Location: Valencia, Spain

Dates: May 20-22, 2026

Sensory science research workspace with charts, notes, and analytical materials arranged for conference preparation.

Sensometrics sits at the intersection of sensory science, consumer research, statistics, and computational methods. These materials collect Aigora contributions from the conference and frame them for teams applying modern AI workflows to sensory and consumer data.

Materials

Slide Deck and Posters

The presentation deck appears first, followed by the three conference posters.

Slides

Conference Slide Deck

Slides

Is More Thinking Always Better?

Slide deck from the Sensometrics presentation on reasoning depth, AI-assisted analysis, and when additional model deliberation helps or hurts practical research workflows.

Slide 1 of 18

Is More Thinking Always Better? slide 1 from the Sensometrics 2026 presentation.

Posters

Conference Posters

Poster

Too Many Letters?

Sensometrics 2026 poster from Aigora on cutting through sensory clutter with letter reduction algorithms.

Too Many Letters? poster about cutting through sensory clutter with letter reduction algorithms.

Poster

SensPy

Sensometrics 2026 poster from Aigora introducing sensPy for sensR-style sensory discrimination analyses in Python.

Introducing sensPy poster about sensory discrimination analyses in Python.

Poster

Local Models, Frontier Results

Sensometrics 2026 poster from Aigora on local models as a third path for text analysis in sensory and consumer research.

Local models, frontier results poster about local model text analysis for sensory and consumer research.

Themes

What These Resources Connect

Sensory methods meet AI workflows

How statistical and computational methods can be extended by AI systems without surrendering domain judgment.

From analysis to communication

How posters and presentations can help technical methods travel to broader R&D, insights, and leadership audiences.

Practical research infrastructure

How AI-assisted workflows can organize, analyze, and reuse sensory and consumer research materials over time.

Related Work

Explore the Context

AI in Sensory Science

Aigora guide to AI as an amplifier for sensory and consumer science.

R for Data Science

Data science for sensory and consumer scientists, with practical methods and examples.

THEUS

Aigora platform for turning unstructured consumer data into structured insight.

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