Walking to See: Exploring the Spatiality of Race and One’s Positionality Through Datawalks

This article discusses how datawalks, a method of mobility that provides information about oneself in relation to space and others, can be used to research race through one’s embodied experience in space. Datawalks have often been used to explore experiences of minoritized rather than dominant groups and as a collaborative research-participant experience rather than a self-ethnographic endeavor. This article tackles these gaps by showing how datawalks can be used for researchers to address their positionalities within race relations. Drawing on datawalks the four authors did through parts of Rotterdam (the Netherlands), the article addresses how datawalks can (a) help researchers recognize and experience race in and through space and (b) engage with one’s positionality. This article points out the relevance of using datawalks as an in situ and in-movement method to capture the shape-shifting materiality of race in cities and to draw connections to structures of Whiteness in academia.

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Publication Details

Journal
Qualitative Inquiry
Published
2026-02-05
DOI
https://doi.org/10.1177/10778004261417668
Primary Topic
Participatory Visual Research Methods
Type
article
Field-Weighted Citation Impact
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article

Walking to See: Exploring the Spatiality of Race and One’s Positionality Through Datawalks

Mélodine Sommier, Palesa Mashigo, Delia Dumitrica, Lis Camelia
Qualitative Inquiry
Participatory Visual Research Methods
article

Walking to See: Exploring the Spatiality of Race and One’s Positionality Through Datawalks

Mélodine Sommier, Palesa Mashigo, Delia Dumitrica, Lis Camelia
article en

Abstract

This article discusses how datawalks, a method of mobility that provides information about oneself in relation to space and others, can be used to research race through one’s embodied experience in space. Datawalks have often been used to explore experiences of minoritized rather than dominant groups and as a collaborative research-participant experience rather than a self-ethnographic endeavor. This article tackles these gaps by showing how datawalks can be used for researchers to address their positionalities within race relations. Drawing on datawalks the four authors did through parts of Rotterdam (the Netherlands), the article addresses how datawalks can (a) help researchers recognize and experience race in and through space and (b) engage with one’s positionality. This article points out the relevance of using datawalks as an in situ and in-movement method to capture the shape-shifting materiality of race in cities and to draw connections to structures of Whiteness in academia.

Qualitative Inquiry
Erasmus University Rotterdam (NL), University of Jyväskylä (FI)
Reduced inequalities
Openalex Percentile: Top 70%
Participatory Visual Research Methods
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