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dc.contributorRünzel, Maxen_US
dc.contributorBecker, Lauraen_US
dc.creatorHopton, Sarah-Bethen_US
dc.date.accessioned2022-07-04T22:32:12Z
dc.date.available2022-07-04T22:32:12Z
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/c25c45801954df9bc9be2559aa5ec194en_US
dc.identifier.citationSarah-Beth Hopton, Max Rünzel, Laura Becker. (4/7/2022). AI-Driven Climate-Smart Beekeeping for Women | 2021 Project Report. Boone, United States of America: Appalachian State University.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/67516
dc.description.abstractThe AI-Driven Climate-Smart Beekeeping (AID-CSB) for Women project worked with beekeepers in Uzbekistan and Ethiopia to co-design and localize the “Beekeeper’s Companion”, a climate-smart information communication technology for development (ICT4D) app designed to support beekeepers’ hive management practices and improve honey production. AID-CSB’s ambition is to work towards applying advanced machine learning models on standardized biodiversity data by mitigating bias and maintaining spatial and temporal accuracy. To do this, the project leverages the participation of women beekeepers and national experts and incorporates their traditional and local knowledge into the algorithms that will push information to the beekeepers. Recognizing the need for an agricultural solution that does not require more time from women, the app was designed so that uploading data points requires a minimal time investment. For example, recording information on a hive inspection can be done with a simple swipe gesture in under five seconds. The following report frames AID-CSB activities within the environmental, human rights, and digital contexts in Uzbekistan and Ethiopia; details the preliminary findings of a series of user-tests and iterative participatory application designs of the app; and provides recommendations for bringing the app to scale in Uzbekistan, Ethiopia, and beyond. Lessons learned include the limits of localization, and the careful communication and numerous iterations required to mitigate issues of language, scalability, bias, access and cultural norms around women and technology.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherAppalachian State Universityen_US
dc.rightsCC-BY-SA-4.0en_US
dc.titleAI-Driven Climate-Smart Beekeeping for Women | 2021 Project Reporten_US
dc.typeReporten_US
dcterms.available2022-07-04en_US
dcterms.issued2022-07-04en_US
cg.creator.idBecker, Laura: 0000-0002-9651-5839en_US
cg.subject.agrovocclimate-smart agricultureen_US
cg.subject.agrovocwomen's participationen_US
cg.subject.agrovocbeekeepingen_US
cg.subject.agrovocinformation and communication technologiesen_US
cg.subject.agrovochive managementen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerInternational Center of Insect Physiology and Ecology - ICIPEen_US
cg.contributor.centerHiveTracksen_US
cg.contributor.centerAppalachian State Universityen_US
cg.contributor.crpCGIAR Research Program on Climate Change, Agriculture and Food Security - CCAFSen_US
cg.contributor.funderGerman Federal Foreign Officeen_US
cg.contributor.projectAI-Driven Climate-Smart Beekeeping (AID-CSB) Environmental Health for Human Rightsen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.regionEastern Africaen_US
cg.coverage.regionCentral Asiaen_US
cg.coverage.countryETen_US
cg.coverage.countryUZen_US
cg.contactlaura.becker@cgmel.orgen_US
dc.identifier.statusOpen accessen_US
mel.project.openhttps://mel.cgiar.org/projects/aid-csben_US
mel.sub-typeDonor Reporten_US


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