Empirical gender and politics research increasingly calls for methodological frameworks capable of capturing the complexity of intersecting inequalities. Intermaps responds to this call by developing a feminist, mixed-methods approach that integrates qualitative, quantitative, and visual, and spatial data within a single analytical model. Building on the Relief Maps+ digital tool (reliefmaps.upf.edu), the project operationalizes intersectionality not only as a theoretical lens but as a research design encompassing sampling, data collection, analysis, and visualization. Our intersectional sampling strategy, implemented with 1,004 participants in Catalonia, is iterative, flexible, and situated, combining purposive and random logics to achieve intersectional representativeness. Through interactive visual interfaces, participants reflect on their positionalities and lived experiences of intersecting inequalities in everyday places. Preliminary analyses show distinct configurations of (dis)comfort across gender, sexual orientation, racialization and origin, religion, age, (dis)abilities and health conditions, physical appearance, economic situation and language, revealing how intersecting systems of privilege and oppression shape everyday inequalities. The aggregate Relief Maps visualize these dynamics through relational and multi-layered representations, making structural inequalities empirically visible. This framework advances feminist methodology by showing how epistemological principles can be operationalized empirically. Intermaps thus bridges disciplinary boundaries between qualitative and quantitative traditions, providing a concrete methodological model for identifying intersectional patterns across contexts.
