Studium: MDes International Master of Design
Jahr: 2026
Marked Days is a series of three screen-printed feminist data visualization posters produced as part of my International Master of Design in Graphic Design.
Each poster maps a calendar year — 2017, 2027, and 2037 — onto a grid of 365 cells, using three visual symbols to represent three feminist datasets: femicides, the gender pay gap, and endometriosis.
Designed to be read as a triptych, the three posters are intended to be compared directly: placed side by side, they make visible how these three forms of gendered inequality have evolved or persisted across two ten-year gaps.
The project sits at the intersection of critical graphic design, feminist theory, and data visualization, and draws on a lineage of activist design practice that uses visual form to make structural inequality legible.
The theoretical foundation of the project builds on Laura Mulvey’s concept of the male gaze and John Berger’s analysis of how women are seen versus how men act. These frameworks are extended through the lens of feminist data practice, drawing particularly on Catherine D’Ignazio and Lauren Klein’s Data Feminism, which argues that data is never neutral: that, in fact, what gets counted, how it is visualized, and who produces the visualization are all political acts.
In this context, Marked Days is not merely a design project but a form of feminist counter-cartography: mapping the lived experience of women onto a structure, the calendar, that appears universal but is experienced very differently depending on one’s gender.
The project is based on the work of feminist graphic designers who came before. Sheila Levrant de Bretteville’s practice of designing with and for women, rather than about them, informs the approach of the project to data selection and visual language. The Guerrilla Girls’ use of statistics as political provocation, their famous deployment of numbers to expose institutional sexism, is a direct precedent for the way Marked Days weaponizes data through form.
Each of the three datasets was chosen because it represents a form of gendered violence or inequality that remains largely invisible in mainstream visual culture: femicides are underreported; the pay gap is disputed; endometriosis is under-researched and under-funded.