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Feminist Data Science in Archaeology

Bibliographic Data

ID13085477
AuthorsCarrie Heitman (0000-0002-2137-8462, University of Nebraska–Lincoln, corresponding author)
Year2026
Volume14
Issue1
Pages152-157
Publication date2026-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAdvances in Archaeological Practice (JOURNAL)
Journal identifiersISSN: 2326-3768 • E-ISSN: 2326-3768
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/aap.2025.10144
OpenAlexW7131182589
LanguageEN
Citations received2
References cited24

Overview This digital review examines how feminist data science can inform, challenge, and reshape archaeological knowledge production in an era of expanding digital data infrastructures. Beginning with a historical analysis of the term “feminist” in American Antiquity , I demonstrate that although feminist perspectives have appeared consistently over four decades, such engagement remains limited in scope. Drawing from this context, I argue that the proliferation of online, publicly accessible archaeological datasets requires renewed feminist and decolonial scrutiny. I situate these challenges within broader conversations around FAIR (Findable, Accessible, Interoperable, and Reusable) and CARE (Collective benefit, Authority to control, Responsibility, and Ethics) principles, Indigenous data sovereignty, and moderated openness, highlighting tensions between expanding digital access and resisting colonial datafication. Intersectional feminist data science, particularly the framework proposed by D’Ignazio and Klein (2020), offers actionable principles for confronting inequities embedded within archaeological data structures. I illustrate these principles through a multimodal collaborative project with the Pueblo of Zuni and the Hopi Tribe, which uses film-based storytelling to reframe relationships to ancestral collections and places. The article concludes with a reflection on citation inequities and disciplinary gatekeeping, underscoring how digital data practices can either reproduce or dismantle structural biases. I argue that transforming archaeological data science requires collective courage and sustained commitment to feminist, Indigenous, and community-engaged approaches that expand the inclusivity and ethical integrity of our field

Cognitive reframing · Digital Storytelling · Discipline · Ethnography · Feminism · Fieldnotes · Indigenous · Storytelling · Technoscience · Archaeology and ancient environmental studies · Archaeology and Rock Art Studies · Historical and Cultural Archaeology Studies

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Unique citing works2
Citations per year2
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

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