CoChat
Sign Up
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
Open this paper in CoChat — free account

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.

Overview

Integrity signals

Registry

Crossref · 10.1111/cag.12398

Cites

43 of 43 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Flagged first, then by citations

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

Cited by

Sorted by citations

See all 72

Related

See all

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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review