Digital Humanities and Cognitive Perspectives of Gender Nutritional Decision-Making

This project aims to investigate the impact of gender on nutritional decision-making through the lenses of digital humanities and cognitive science. No extensive research has previously integrated digital humanities, cognitive science, gender, and nutritional decision-making. This study employs a scoping review methodology utilizing the Arksey and O'Malley framework and adheres to the PRISMA ScR as the standard for research transparency. A total of twelve articles fulfilled the inclusion and exclusion criteria. This research includes articles written in English published between 2015 and 2025, which are original, fully accessible, and address gender-influenced nutritional decision-making from digital humanities and cognitive perspectives. The study's findings revealed three primary themes: computational humanities, cognitive frameworks, and food consumption analysis. Each area possesses distinct characteristics, exemplified by computational humanities, which encompasses cultural representation and technological influence. The cognitive framework theme encompasses decision-making processes and multi-attribute risk assessment. The issue of food consumption analysis encompasses access to food security and household decision-making processes. These three principles are interrelated and mutually influence one another. Computational humanities supply data, which are subsequently analyzed within a cognitive framework. The outcomes are reflected in food consumption.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-11-03
DOI
https://doi.org/10.1051/bioconf/202519300032/pdf
Primary Topic
Nutrition, Genetics, and Disease
Type
article
Field-Weighted Citation Impact
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article

Digital Humanities and Cognitive Perspectives of Gender Nutritional Decision-Making

Rani Tiyas Budiyanti, Salsabila Mega Kencono Ganggi, Roro Isyawati Permata Ganggi
Springer Link (Chiba Institute of Technology)
Nutrition, Genetics, and Disease
article

Digital Humanities and Cognitive Perspectives of Gender Nutritional Decision-Making

Rani Tiyas Budiyanti, Salsabila Mega Kencono Ganggi, Roro Isyawati Permata Ganggi
article en

Abstract

This project aims to investigate the impact of gender on nutritional decision-making through the lenses of digital humanities and cognitive science. No extensive research has previously integrated digital humanities, cognitive science, gender, and nutritional decision-making. This study employs a scoping review methodology utilizing the Arksey and O'Malley framework and adheres to the PRISMA ScR as the standard for research transparency. A total of twelve articles fulfilled the inclusion and exclusion criteria. This research includes articles written in English published between 2015 and 2025, which are original, fully accessible, and address gender-influenced nutritional decision-making from digital humanities and cognitive perspectives. The study's findings revealed three primary themes: computational humanities, cognitive frameworks, and food consumption analysis. Each area possesses distinct characteristics, exemplified by computational humanities, which encompasses cultural representation and technological influence. The cognitive framework theme encompasses decision-making processes and multi-attribute risk assessment. The issue of food consumption analysis encompasses access to food security and household decision-making processes. These three principles are interrelated and mutually influence one another. Computational humanities supply data, which are subsequently analyzed within a cognitive framework. The outcomes are reflected in food consumption.

Springer Link (Chiba Institute of Technology)
Gender equality
Openalex Percentile: Top 22%
Nutrition, Genetics, and Disease
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Digital Humanities and Cognitive Perspectives of Gender Nutritional Decision-Making — Rani Tiyas Budiyanti, Salsabila Mega Kencono Ganggi, et al. · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS