KAZNET: An Open-Source, Micro-Tasking Platform for Remote Locations

Field surveys are the workhorse of social and environmental research, but conventional collection through monitors or enumerators are cost prohibitive in many remote or otherwise difficult settings, which can lead to a poor understanding of those environments and an underrepresentation of the people...

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Main Authors: Philemon Chelanga, Francesco Fava, Vincent Alulu, Rupsha Banerjee, Oscar Naibei, Masresha Taye, Matt Berg, Diba Galgallo, Wako Gobu, Watson Lepariyo, Kavoi Muendo, Nathaniel Jensen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Sustainable Food Systems
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fsufs.2022.730836/full
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author Philemon Chelanga
Philemon Chelanga
Francesco Fava
Vincent Alulu
Rupsha Banerjee
Oscar Naibei
Masresha Taye
Matt Berg
Diba Galgallo
Wako Gobu
Watson Lepariyo
Kavoi Muendo
Nathaniel Jensen
author_facet Philemon Chelanga
Philemon Chelanga
Francesco Fava
Vincent Alulu
Rupsha Banerjee
Oscar Naibei
Masresha Taye
Matt Berg
Diba Galgallo
Wako Gobu
Watson Lepariyo
Kavoi Muendo
Nathaniel Jensen
author_sort Philemon Chelanga
collection DOAJ
description Field surveys are the workhorse of social and environmental research, but conventional collection through monitors or enumerators are cost prohibitive in many remote or otherwise difficult settings, which can lead to a poor understanding of those environments and an underrepresentation of the people living in them. In such cases, micro-tasking can offer a promising alternative. By activating in-situ data collectors, micro-tasking avoids many of the large expenses related to conventional field survey processes. In addition to relaxing resource constraints, crowd-sourcing can be flexible and employ data quality protocols unheard-of for conventional methods. This study assesses the potential of using micro-tasking to monitor socioeconomic and environmental indicators in remote settings using a new platform called KAZNET. KAZNET leverages the network of people with smartphones, which are becoming ubiquitous even in the remote rural settings, to execute both long-term and short-term data collection activities, with flexibility to adjust or add tasks in real-time. It also allows for multiple projects, requiring different data types, to be rolled out in the same platform simultaneously. For the data-collector, KAZNET is effectively a wrapper for the commonly used and open source, Open Data Kit (ODK) software, which specializes in offline data collection. A web interface allows administrators to calibrate, deploy, and validate tasks performed by contributors. KAZNET has been used in several projects to collect data in remote pastoral regions of East Africa since its inception in 2017. KAZNET has shown to be effective for collecting high frequency and repeated measures from markets, households and rangelands in remote regions at relatively low cost compared to traditional survey methods. While the successes of micro-tasking are promising, there are clear trade-offs and complementarities between micro-tasking and standard surveys methods, which researchers and practitioners need to consider when implementing either approach.
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spelling doaj.art-4caab507e1b240628fe99e2dd79a6bb42022-12-22T02:39:24ZengFrontiers Media S.A.Frontiers in Sustainable Food Systems2571-581X2022-03-01610.3389/fsufs.2022.730836730836KAZNET: An Open-Source, Micro-Tasking Platform for Remote LocationsPhilemon Chelanga0Philemon Chelanga1Francesco Fava2Vincent Alulu3Rupsha Banerjee4Oscar Naibei5Masresha Taye6Matt Berg7Diba Galgallo8Wako Gobu9Watson Lepariyo10Kavoi Muendo11Nathaniel Jensen12Sustainable Livestock Systems, International Livestock Research Institute, Nairobi, KenyaDepartment of Agricultural and Resource Economics, Jomo Kenyatta University of Agriculture and Technology, Nairobi, KenyaDepartment of Environmental Science and Policy (ESP), Università degli Studi di Milano, Milan, ItalySustainable Livestock Systems, International Livestock Research Institute, Nairobi, KenyaSustainable Livestock Systems, International Livestock Research Institute, Nairobi, KenyaSustainable Livestock Systems, International Livestock Research Institute, Nairobi, KenyaSustainable Livestock Systems, International Livestock Research Institute, Addis Ababa, EthiopiaOna, Nairobi, KenyaSustainable Livestock Systems, International Livestock Research Institute, Nairobi, KenyaSustainable Livestock Systems, International Livestock Research Institute, Addis Ababa, EthiopiaSustainable Livestock Systems, International Livestock Research Institute, Nairobi, KenyaDepartment of Agricultural and Resource Economics, Jomo Kenyatta University of Agriculture and Technology, Nairobi, KenyaSustainable Livestock Systems, International Livestock Research Institute, Nairobi, KenyaField surveys are the workhorse of social and environmental research, but conventional collection through monitors or enumerators are cost prohibitive in many remote or otherwise difficult settings, which can lead to a poor understanding of those environments and an underrepresentation of the people living in them. In such cases, micro-tasking can offer a promising alternative. By activating in-situ data collectors, micro-tasking avoids many of the large expenses related to conventional field survey processes. In addition to relaxing resource constraints, crowd-sourcing can be flexible and employ data quality protocols unheard-of for conventional methods. This study assesses the potential of using micro-tasking to monitor socioeconomic and environmental indicators in remote settings using a new platform called KAZNET. KAZNET leverages the network of people with smartphones, which are becoming ubiquitous even in the remote rural settings, to execute both long-term and short-term data collection activities, with flexibility to adjust or add tasks in real-time. It also allows for multiple projects, requiring different data types, to be rolled out in the same platform simultaneously. For the data-collector, KAZNET is effectively a wrapper for the commonly used and open source, Open Data Kit (ODK) software, which specializes in offline data collection. A web interface allows administrators to calibrate, deploy, and validate tasks performed by contributors. KAZNET has been used in several projects to collect data in remote pastoral regions of East Africa since its inception in 2017. KAZNET has shown to be effective for collecting high frequency and repeated measures from markets, households and rangelands in remote regions at relatively low cost compared to traditional survey methods. While the successes of micro-tasking are promising, there are clear trade-offs and complementarities between micro-tasking and standard surveys methods, which researchers and practitioners need to consider when implementing either approach.https://www.frontiersin.org/articles/10.3389/fsufs.2022.730836/fulldata collectiondrylandspastoralistsmicro-taskingopen-source
spellingShingle Philemon Chelanga
Philemon Chelanga
Francesco Fava
Vincent Alulu
Rupsha Banerjee
Oscar Naibei
Masresha Taye
Matt Berg
Diba Galgallo
Wako Gobu
Watson Lepariyo
Kavoi Muendo
Nathaniel Jensen
KAZNET: An Open-Source, Micro-Tasking Platform for Remote Locations
Frontiers in Sustainable Food Systems
data collection
drylands
pastoralists
micro-tasking
open-source
title KAZNET: An Open-Source, Micro-Tasking Platform for Remote Locations
title_full KAZNET: An Open-Source, Micro-Tasking Platform for Remote Locations
title_fullStr KAZNET: An Open-Source, Micro-Tasking Platform for Remote Locations
title_full_unstemmed KAZNET: An Open-Source, Micro-Tasking Platform for Remote Locations
title_short KAZNET: An Open-Source, Micro-Tasking Platform for Remote Locations
title_sort kaznet an open source micro tasking platform for remote locations
topic data collection
drylands
pastoralists
micro-tasking
open-source
url https://www.frontiersin.org/articles/10.3389/fsufs.2022.730836/full
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