Digital innovation with miniSASS, a citizen science biomonitoring tool
The mini stream assessment scoring system (miniSASS) was developed as a citizen science biomonitoring tool for assessing the water quality and health of stream and river systems. A miniSASS survey involves sampling the aquatic macroinvertebrate community in a stream or river reach and using the known sensitivities and tolerances of the taxa present to infer information about the water quality and health of the stream or river. The quality of the outcomes of a miniSASS survey is dependent on good sampling technique and accurate identification of aquatic macroinvertebrates by low-skilled citizen scientists. As such, there is potential for errors in sampling and identification which may impact the accuracy of results. In response, we aimed to 1) develop a smartphone application (miniSASS mobile app with built-in machine learning (ML) algorithm for the automatic, real-time identification of aquatic macroinvertebrates) to assist in miniSASS surveys, 2) modernise and upgrade the miniSASS website to handle new data submissions (including photographs) and improve the user interface (UI), and 3) develop an online miniSASS training course. This report presents the methodology and preliminary results pertaining to these objectives.
Main Authors: | , , , , , , |
---|---|
Format: | Report biblioteca |
Language: | English |
Published: |
CGIAR Initiative on Digital Innovation
2023-11-14
|
Subjects: | digital technology, citizen science, biomonitoring, rivers, water quality, macroinvertebrates, mobile applications, machine learning, algorithms, databases, training, sustainable development goals, |
Online Access: | https://hdl.handle.net/10568/134498 https://www.iwmi.cgiar.org/Publications/Other/PDF/digital_innovation_with_minisass_a_citizen_science_biomonitoring_tool.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
dig-cgspace-10568-134498 |
---|---|
record_format |
koha |
spelling |
dig-cgspace-10568-1344982023-12-08T19:36:04Z Digital innovation with miniSASS, a citizen science biomonitoring tool Pattinson, N. B. Russell, C. Taylor, J. Dickens, Chris W. S. Koen, R. C. J. Koen, F. J. Graham, P. M. digital technology citizen science biomonitoring rivers water quality macroinvertebrates mobile applications machine learning algorithms databases training sustainable development goals The mini stream assessment scoring system (miniSASS) was developed as a citizen science biomonitoring tool for assessing the water quality and health of stream and river systems. A miniSASS survey involves sampling the aquatic macroinvertebrate community in a stream or river reach and using the known sensitivities and tolerances of the taxa present to infer information about the water quality and health of the stream or river. The quality of the outcomes of a miniSASS survey is dependent on good sampling technique and accurate identification of aquatic macroinvertebrates by low-skilled citizen scientists. As such, there is potential for errors in sampling and identification which may impact the accuracy of results. In response, we aimed to 1) develop a smartphone application (miniSASS mobile app with built-in machine learning (ML) algorithm for the automatic, real-time identification of aquatic macroinvertebrates) to assist in miniSASS surveys, 2) modernise and upgrade the miniSASS website to handle new data submissions (including photographs) and improve the user interface (UI), and 3) develop an online miniSASS training course. This report presents the methodology and preliminary results pertaining to these objectives. 2023-11-14 2023-11-15T05:04:14Z 2023-11-15T05:04:14Z Report Pattinson, N. B.; Russell, C.; Taylor, J.; Dickens, Chris W. S.; Koen, R. C. J.; Koen, F. J.; Graham, P. M. 2023. Digital innovation with miniSASS, a citizen science biomonitoring tool. Colombo, Sri Lanka: International Water Management Institute (IWMI). CGIAR Initiative on Digital Innovation. 31p. https://hdl.handle.net/10568/134498 https://www.iwmi.cgiar.org/Publications/Other/PDF/digital_innovation_with_minisass_a_citizen_science_biomonitoring_tool.pdf H052345 en CC-BY-4.0 Open Access 31p. application/pdf CGIAR Initiative on Digital Innovation |
institution |
CGIAR |
collection |
DSpace |
country |
Francia |
countrycode |
FR |
component |
Bibliográfico |
access |
En linea |
databasecode |
dig-cgspace |
tag |
biblioteca |
region |
Europa del Oeste |
libraryname |
Biblioteca del CGIAR |
language |
English |
topic |
digital technology citizen science biomonitoring rivers water quality macroinvertebrates mobile applications machine learning algorithms databases training sustainable development goals digital technology citizen science biomonitoring rivers water quality macroinvertebrates mobile applications machine learning algorithms databases training sustainable development goals |
spellingShingle |
digital technology citizen science biomonitoring rivers water quality macroinvertebrates mobile applications machine learning algorithms databases training sustainable development goals digital technology citizen science biomonitoring rivers water quality macroinvertebrates mobile applications machine learning algorithms databases training sustainable development goals Pattinson, N. B. Russell, C. Taylor, J. Dickens, Chris W. S. Koen, R. C. J. Koen, F. J. Graham, P. M. Digital innovation with miniSASS, a citizen science biomonitoring tool |
description |
The mini stream assessment scoring system (miniSASS) was developed as a citizen science biomonitoring tool for assessing the water quality and health of stream and river systems. A miniSASS survey involves sampling the aquatic macroinvertebrate community in a stream or river reach and using the known sensitivities and tolerances of the taxa present to infer information about the water quality and health of the stream or river. The quality of the outcomes of a miniSASS survey is dependent on good sampling technique and accurate identification of aquatic macroinvertebrates by low-skilled citizen scientists. As such, there is potential for errors in sampling and identification which may impact the accuracy of results. In response, we aimed to 1) develop a smartphone application (miniSASS mobile app with built-in machine learning (ML) algorithm for the automatic, real-time identification of aquatic macroinvertebrates) to assist in miniSASS surveys, 2) modernise and upgrade the miniSASS website to handle new data submissions (including photographs) and improve the user interface (UI), and 3) develop an online miniSASS training course. This report presents the methodology and preliminary results pertaining to these objectives. |
format |
Report |
topic_facet |
digital technology citizen science biomonitoring rivers water quality macroinvertebrates mobile applications machine learning algorithms databases training sustainable development goals |
author |
Pattinson, N. B. Russell, C. Taylor, J. Dickens, Chris W. S. Koen, R. C. J. Koen, F. J. Graham, P. M. |
author_facet |
Pattinson, N. B. Russell, C. Taylor, J. Dickens, Chris W. S. Koen, R. C. J. Koen, F. J. Graham, P. M. |
author_sort |
Pattinson, N. B. |
title |
Digital innovation with miniSASS, a citizen science biomonitoring tool |
title_short |
Digital innovation with miniSASS, a citizen science biomonitoring tool |
title_full |
Digital innovation with miniSASS, a citizen science biomonitoring tool |
title_fullStr |
Digital innovation with miniSASS, a citizen science biomonitoring tool |
title_full_unstemmed |
Digital innovation with miniSASS, a citizen science biomonitoring tool |
title_sort |
digital innovation with minisass, a citizen science biomonitoring tool |
publisher |
CGIAR Initiative on Digital Innovation |
publishDate |
2023-11-14 |
url |
https://hdl.handle.net/10568/134498 https://www.iwmi.cgiar.org/Publications/Other/PDF/digital_innovation_with_minisass_a_citizen_science_biomonitoring_tool.pdf |
work_keys_str_mv |
AT pattinsonnb digitalinnovationwithminisassacitizensciencebiomonitoringtool AT russellc digitalinnovationwithminisassacitizensciencebiomonitoringtool AT taylorj digitalinnovationwithminisassacitizensciencebiomonitoringtool AT dickenschrisws digitalinnovationwithminisassacitizensciencebiomonitoringtool AT koenrcj digitalinnovationwithminisassacitizensciencebiomonitoringtool AT koenfj digitalinnovationwithminisassacitizensciencebiomonitoringtool AT grahampm digitalinnovationwithminisassacitizensciencebiomonitoringtool |
_version_ |
1787232160195805184 |