Cited by 72ICT in Developing CommunitiesE-Government and Public ServicesInnovation and Socioeconomic Development

From Margins to Seams: Imbrication, Inclusion, and Torque in the Aadhaar Identification Project

Singh, Ranjit, Jackson, Steven J.·2017·Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

Abstract

Problems of marginalization and inclusion are central to HCI scholarship and impact in the world, but are badly named in the binary models of access that currently dominate the field. Building on prior work in ICTD and infrastructure studies, this paper explores the problem of inclusion through historical and ethnographic study of Aadhaar, India's biometrics-based national identification project. We illustrate tensions between Aadhaar users' ability to register, authenticate and successfully deploy their registered identity to participate in the Public Distribution System (PDS), a government scheme that provides subsidized food grains to the Indian poor. We argue that rather than an all-or-nothing state, inclusion in ICTD infrastructures is an ongoing and fragile process, achieved (unevenly) at the seams of multiple interconnected systems. Finally, we show that questions of (effective) inclusion are determined not just at margins of a system (who is in and who is out) but also through the artful and often challenging negotiation of the seams that run through and connect complex distributed infrastructures.

Integrity signals

Registry

Crossref · 10.1145/3025453.3025910

Cites

40 of 40 references verified0 citation errors · 0 not checkable

Statistics

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

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?

  • Challenges of achieving visibility through older identification practices have been carried forward into Aadhaar, despite its claim to overcome such exclusions.

    “Although this critique overlooks Aadhaar's crucial role in standardizing identification procedures in India, it points to the long history of issues faced by people with no identity documents, and how challenges of achieving visibility through older identification practices have in fact been carried forward into the new system, despite its very claim to overcome such exclusions [89].”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Singh, R., & Jackson, S. J.
Affiliations
Cornell University (US)
Venue
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2017-05-02
Pages
4776-4824
OpenAlex
W2611173295
Cited by
72
References
40
Citations by year
2026: 9 · 2025: 8 · 2024: 8 · 2023: 2 · 2022: 21 · 2021: 10 · 2020: 6 · 2019: 3 · 2018: 5
FWCI
2.94
Type
conference paper
Language
en
Open access
closed
Locations
CHI Conference on Human Factors in Computing Systems (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
  • Social Sciences › Political Science and International Relations › E-Government and Public Services
  • Social Sciences › Business, Management and Accounting › Business and International Management › Innovation and Socioeconomic Development
Keywords
Aadhaar, public distribution system, inclusive infrastructure, marginalization, inclusion, information and communication technologies for development, distributed infrastructure, identity verification, food subsidies, India

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