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Cited by 72Geographic Information Systems StudiesEthics and Social Impacts of AISmart Cities and Technologies

The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.

Counter‐mapping data science

Dalton, Craig M., Stallmann, Tim·2018·Canadian Geographies / Géographies canadiennes
DOI 10.1111/cag.12398
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Abstract

Counter‐mapping is a combination of critical ideas and practices for social change that offers a productive and promising approach for grassroots data science initiatives. Current information technologies collect, store, and analyze data with new degrees of size, speed, heterogeneity, and detail. While much work utilizing data science technologies is dedicated to generating profit or to national security, some data science projects explicitly attempt to facilitate new social relations, though with inconsistent results and consequences. This paper reviews counter‐mapping's particular combination of theory and practice as a potential point of reference for such initiatives. Counter‐mapping takes the tools of institutional map‐making at government agencies and corporations and applies them in situated, bottom‐up ways. Moreover, counter‐mapping's multiple theoretical approaches and polyglot practices offer a variety of inspirations and avenues for future work in identifying and realizing alternative, ideally better, possibilities. This paper defines counter‐mapping; outlines its multiple theorizations; briefly describes three relevant case studies, The Detroit Geographical Expedition and Institute, Mapping Police Violence, and the Counter‐Cartographies Collective; and concludes with a few hard‐learned considerations from counter‐mapping that are directly pertinent for data‐oriented projects focused on change.

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Research works printed but not linked: 9

  1. Cobarrubias S., 2008, The spatial turn, 36
  2. Colectivo Situaciones, 2002, Hipótesis 891: Más Allá de los Piquetes
  3. Crawford S., 2014, Detroit and big data take on blight, Bloomberg View
  4. Gross A., 2014, Congress is finally to make local law enforcement report how many people they kill, Mother Jones
  5. Haraway D., 1991, Simians, cyborgs, and women: The reinvention of women
  6. Holmes B., 2003, Imaginary maps, global solidarities
  7. 2014, The data revolution: Big data, open data, data infrastructures and their consequences
  8. Thatcher J., 2014, Big data, big questions | Living on fumes: Digital footprints, data fumes, and the limitations of spatial big data, International Journal of Communication, 8
  9. Warren G., 1971, About work in Detroit, The Detroit Geographical Expedition and Institute Field Notes III, 10

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Metadata

Authors
Dalton, C. M., & Stallmann, T.
Affiliations
  • Hofstra University (US)
  • Durham North Carolina
Corresponding author
Dalton, Craig M.
ORCID
Dalton, Craig M.
Venue
Canadian Geographies / Géographies canadiennes
Publisher
Wiley
Published
2017-08-25
Volume
62
Issue
1
Pages
93-101
ISSN
  • 0008-3658 (ISSN-L)
  • 1541-0064
DOI
10.1111/cag.12398
OpenAlex
W2749659454
Cited by
72
References
43
Citations by year
2026: 12 · 2025: 15 · 2024: 15 · 2023: 4 · 2022: 8 · 2021: 4 · 2020: 4 · 2019: 6 · 2018: 4
FWCI
16.04
Type
journal article
Language
en
Open access
closed
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Locations
Canadian Geographies / Géographies canadiennes (publishedVersion)
Topics
  • Social Sciences › Geography, Planning and Development › Geographic Information Systems Studies
  • Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
  • Social Sciences › Urban Studies › Smart Cities and Technologies
Keywords
counter-mapping, social change, alternative cartography

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