Home > Research > Publications & Outputs > Citizen science pioneers in Kenya – A crowdsour...

Electronic data

  • STOTEN_Citizen_science_pioneers_Kenya_rev1

    Rights statement: This is the author’s version of a work that was accepted for publication in Science of the Total Environment. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Science of the Total Environment, 631-632, 2018 DOI: 10.1016/j.scitotenv.2018.03.130

    Accepted author manuscript, 1 MB, PDF document

    Available under license: CC BY-NC-ND

Links

Text available via DOI:

View graph of relations

Citizen science pioneers in Kenya – A crowdsourced approach for hydrological monitoring

Research output: Contribution to journalJournal article

Published
Close
<mark>Journal publication date</mark>1/08/2018
<mark>Journal</mark>Science of the Total Environment
Volume631-632
Number of pages10
Pages (from-to)1590-1599
Publication statusPublished
Early online date28/03/18
Original languageEnglish

Abstract

Although water is involved in many ecosystem services, the absence of monitoring data restricts the development of effective water management strategies especially in remote regions. Traditional monitoring networks can be expensive, with unaffordable costs in many low-income countries. Involving citizens in monitoring through crowdsourcing has the potential to reduce these costs but remains uncommon in hydrology. This study evaluates the quality and quantity of data generated by citizens in a remote Kenyan basin and assesses whether crowdsourcing is a suitable method to overcome data scarcity. We installed thirteen water level gauges equipped with signboards explaining the monitoring process to passers-by. Results were sent via a text-message-based data collection framework that included an immediate feedback to citizens. A public web interface was used to visualize the data. Within the first year, 124 citizens reported 1175 valid measurements. We identified thirteen citizens as active observers providing more than ten measurements, whereas 57% only sent one record. A comparison between the crowdsourced water level data and an automatic gauging station revealed high data quality. The results of this study indicate that citizens can provide water level data of sufficient quality and with high temporal resolution.

Bibliographic note

This is the author’s version of a work that was accepted for publication in Science of the Total Environment. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Science of the Total Environment, 631-632, 2018 DOI: 10.1016/j.scitotenv.2018.03.130