Potential of Citizen Science for Enhancing Infrastructure Monitoring Data and Decision‐Support Models for Local Communities

Nasir Gharaibeh; Isaac Oti; Michelle Meyer; Marccus Hendricks; Shannon Van Zandt

doi:10.1111/risa.13256

journal article Jan 04, 2019

Potential of Citizen Science for Enhancing Infrastructure Monitoring Data and Decision‐Support Models for Local Communities

Nasir Gharaibeh Isaac Oti Michelle Meyer Marccus Hendricks Shannon Van Zandt

Risk Analysis Vol. 41 No. 7 pp. 1104-1110 · Wiley

View at Publisher Save 10.1111/risa.13256

Abstract

AbstractCitizen science is a process by which volunteer members of the public, who commonly lack advanced training in science, engage in scientific activities (e.g., data collection) that might otherwise be beyond the reach of professional researchers or practitioners. The purpose of this article is to discuss how citizen‐science projects coordinated by interdisciplinary teams of engineers and social scientists can potentially enhance infrastructure monitoring data and decision‐support models for local communities. The article provides an interdisciplinary definition of infrastructure data quality that extends beyond accuracy to include currency, timeliness, completeness, and equitability. We argue that with this expanded definition of data quality, citizen science can be a viable method for enhancing the quality of infrastructure monitoring data, and ultimately the credibility of risk analysis and decision‐support models that use these data. The article concludes with a set of questions to aid in producing high‐quality infrastructure monitoring data by volunteer citizen scientists.

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Metrics

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References

Details

Published: Jan 04, 2019
Vol/Issue: 41(7)
Pages: 1104-1110
License: View

Authors

N

Nasir Gharaibeh

Texas A&M University College Station TX USA

I

Isaac Oti

Texas A&M University College Station TX USA

M

Michelle Meyer

Texas A&M University College Station TX USA

M

Marccus Hendricks

University of Maryland College Park MD USA

S

Shannon Van Zandt

Texas A&M University College Station TX USA

Cite This Article

Nasir Gharaibeh, Isaac Oti, Michelle Meyer, et al. (2019). Potential of Citizen Science for Enhancing Infrastructure Monitoring Data and Decision‐Support Models for Local Communities. Risk Analysis, 41(7), 1104-1110. https://doi.org/10.1111/risa.13256

Potential of Citizen Science for Enhancing Infrastructure Monitoring Data and Decision‐Support Models for Local Communities

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