When Data Feminism came out in 2020, it felt like a perfect match for Digital Humanities. Here was a framework that took data seriously as a site of power, bias, and politics: exactly the kind of concerns some DH scholars have been circling for years. And yet, a few years on, I can’t say the field has really embraced it. Yes, there was some initial excitement (check out our 2023 blog post Data Feminism as a Challenge for Digital Humanities?). People cited the book, assigned it in courses, maybe even referenced its principles in talks or project proposals. But that momentum didn’t quite stick. Instead, the buzz around Data Feminism died down and conversations seem to have drifted toward other adjacent buzzwords like the “gender data gap”. This is important, too, but much narrower (maybe more concrete?). Ironically, many of these discussions could easily fall under the umbrella of Data Feminism itself. So what happened? At the same time, DH

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