Coastal water information orders: Reverse-engineering New York City’s data dashboards

This article examines the information systems governing individual relationships to urban coastal waterways, drawing from two data publication initiatives in New York City. In these two cases, data structure and web design features cultivate specific forms of knowledge about water quality, pollution, and the health risks represented by recreational activities such as swimming and fishing. Analysis of the data structure and web source code shows the forms of knowledge concerning water quality each project facilitates or obscures. Findings are considered within the framework of an 'information order', which refers to the prevailing conditions for knowledge that are facilitated by communication practices, infrastructures, and tools. The study finds that both initiatives are shaped by their reliance on widely shared geographic information systems and web development frameworks, as well as their emphasis on enterococcus bacteria as an indicator of pollution, rather than other potential metrics. Such widely shared digital and observational features may facilitate and structure other forms of knowledge production now and in the future.

Authors

Institutions

Publication Details

Journal
Social Studies of Science
Published
2025-10-09
DOI
https://doi.org/10.1177/03063127251372629
Primary Topic
Geographic Information Systems Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Coastal water information orders: Reverse-engineering New York City’s data dashboards

James A. Hodges, Rachel Paprocki
Social Studies of Science
Geographic Information Systems Studies
article

Coastal water information orders: Reverse-engineering New York City’s data dashboards

James A. Hodges, Rachel Paprocki
article en

Abstract

This article examines the information systems governing individual relationships to urban coastal waterways, drawing from two data publication initiatives in New York City. In these two cases, data structure and web design features cultivate specific forms of knowledge about water quality, pollution, and the health risks represented by recreational activities such as swimming and fishing. Analysis of the data structure and web source code shows the forms of knowledge concerning water quality each project facilitates or obscures. Findings are considered within the framework of an 'information order', which refers to the prevailing conditions for knowledge that are facilitated by communication practices, infrastructures, and tools. The study finds that both initiatives are shaped by their reliance on widely shared geographic information systems and web development frameworks, as well as their emphasis on enterococcus bacteria as an indicator of pollution, rather than other potential metrics. Such widely shared digital and observational features may facilitate and structure other forms of knowledge production now and in the future.

Social Studies of Science
Notre Dame de Namur University (US), San Jose State University (US)
Openalex Percentile: Top 66%
Geographic Information Systems Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Coastal water information orders: Reverse-engineering New York City’s data dashboards — James A. Hodges, Rachel Paprocki · Social Studies of Science (2025) | TGRS Research Map | TGRS