Intersectional analysis goes beyond consideration of single variables to examine the compounded impact at the intersections of, for example, gender and race, or geographical location and caste. The Guidelines for Intersectional Analysis in Science and Technology (GIST) help researchers, journal editors, and funding agencies systematically integrate intersectional analysis into relevant domains of science and technology.
These guidelines serve as a roadmap for quantitative intersectional analysis throughout the research process—from setting strategic research priorities and shaping research questions to data collection, analysis, and interpretation. Here we provide a checklist to facilitate author and journal editor compliance with the guidelines. We recommend that the GIST checklist be added to journals’ “Information for Authors”. The goal is to reset the research default to include intersectional analysis, where appropriate. Intersectional analysis leads to better science: precision in research best guides effective social and environmental policies that, in turn, enhance global equity and sustainability.
Author(s)
Londa Schiebinger; Mathias Wullum Nielsen; Elena Gissi; Shirin Heidari; Richard Horton; Kari C. Nadeau; Dorothy Ngila; Safiya Umoja Noble; Hee Young Paik; Girmaw Abebe Tadesse; Eddy Y. Zeng; James Zou; Joan Marsh
Publisher
European Science Editing
DOI
https://doi.org/10.3897/ese.2025.e162102
Categories
Article, Checklist, DEI Committee