Development of the conceptual framework (version 2.0) of the Multidimensional Digital Inclusiveness Index

The Multidimensional Digital Inclusiveness Index (MDII), initiated by CGIAR's Digital Innovation Initiative, has transformed from a theoretical concept to a practical tool for assessing digital inclusivity in various sectors. Its foundational document guides stakeholders in the Agri-Food, Water, and...

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Main Authors: Martins, Carolina Iglésias, Opola, Felix Ouko, Jacobs-Mata, Inga, Garcia Andarcia, Mariangel, Nortje, Karen, Joshi, Deepa, Singaraju, N., Muller, A., Christen, R., Malhotra, A.
Format: Informe técnico
Language:Inglés
Published: International Water Management Institute (IWMI). CGIAR Initiative on Digital Innovation 2023
Subjects:
Online Access:https://hdl.handle.net/10568/138705
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author Martins, Carolina Iglésias
Opola, Felix Ouko
Jacobs-Mata, Inga
Garcia Andarcia, Mariangel
Nortje, Karen
Joshi, Deepa
Singaraju, N.
Muller, A.
Christen, R.
Malhotra, A.
author_browse Christen, R.
Garcia Andarcia, Mariangel
Jacobs-Mata, Inga
Joshi, Deepa
Malhotra, A.
Martins, Carolina Iglésias
Muller, A.
Nortje, Karen
Opola, Felix Ouko
Singaraju, N.
author_facet Martins, Carolina Iglésias
Opola, Felix Ouko
Jacobs-Mata, Inga
Garcia Andarcia, Mariangel
Nortje, Karen
Joshi, Deepa
Singaraju, N.
Muller, A.
Christen, R.
Malhotra, A.
author_sort Martins, Carolina Iglésias
collection Repository of Agricultural Research Outputs (CGSpace)
description The Multidimensional Digital Inclusiveness Index (MDII), initiated by CGIAR's Digital Innovation Initiative, has transformed from a theoretical concept to a practical tool for assessing digital inclusivity in various sectors. Its foundational document guides stakeholders in the Agri-Food, Water, and Land sectors, promoting collaboration and continuous improvement. The MDII is guided by eight principles, including accessibility, transparency, methodological rigor, adaptability, intersectionality, simplicity, flexibility, and clarity. It faces challenges such as complexity and diverse user needs, addressed through Artificial Intelligence (AI) integration, offline accessibility, and a participatory feedback approach. Evolving beyond an index, the MDII now offers multiple functions like certification, predictive analysis, and strategic guidance for digital innovation, using AI to meet future inclusiveness needs. The next steps for the MDII include conducting surveys to refine its framework, developing a comprehensive roadmap, and creating a prototype for stakeholder review.
format Informe técnico
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publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher International Water Management Institute (IWMI). CGIAR Initiative on Digital Innovation
publisherStr International Water Management Institute (IWMI). CGIAR Initiative on Digital Innovation
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spelling CGSpace1387052025-11-07T07:59:35Z Development of the conceptual framework (version 2.0) of the Multidimensional Digital Inclusiveness Index Martins, Carolina Iglésias Opola, Felix Ouko Jacobs-Mata, Inga Garcia Andarcia, Mariangel Nortje, Karen Joshi, Deepa Singaraju, N. Muller, A. Christen, R. Malhotra, A. digital innovation inclusion frameworks assessment sustainable development goals stakeholders artificial intelligence The Multidimensional Digital Inclusiveness Index (MDII), initiated by CGIAR's Digital Innovation Initiative, has transformed from a theoretical concept to a practical tool for assessing digital inclusivity in various sectors. Its foundational document guides stakeholders in the Agri-Food, Water, and Land sectors, promoting collaboration and continuous improvement. The MDII is guided by eight principles, including accessibility, transparency, methodological rigor, adaptability, intersectionality, simplicity, flexibility, and clarity. It faces challenges such as complexity and diverse user needs, addressed through Artificial Intelligence (AI) integration, offline accessibility, and a participatory feedback approach. Evolving beyond an index, the MDII now offers multiple functions like certification, predictive analysis, and strategic guidance for digital innovation, using AI to meet future inclusiveness needs. The next steps for the MDII include conducting surveys to refine its framework, developing a comprehensive roadmap, and creating a prototype for stakeholder review. 2023-12-31 2024-01-31T08:14:22Z 2024-01-31T08:14:22Z Report https://hdl.handle.net/10568/138705 en Open Access application/pdf International Water Management Institute (IWMI). CGIAR Initiative on Digital Innovation Martins, Carolina Iglesias; Opola, Felix; Jacobs-Mata, Inga; Garcia Andarcia, Mariangel; Nortje, Karen; Joshi, Deepa; Singaraju, N.; Muller, A.; Christen, R.; Malhotra, A. 2023. Development of the conceptual framework (version 2.0) of the Multidimensional Digital Inclusiveness Index. Colombo, Sri Lanka: International Water Management Institute (IWMI). CGIAR Initiative on Digital Innovation. 36p.
spellingShingle digital innovation
inclusion
frameworks
assessment
sustainable development goals
stakeholders
artificial intelligence
Martins, Carolina Iglésias
Opola, Felix Ouko
Jacobs-Mata, Inga
Garcia Andarcia, Mariangel
Nortje, Karen
Joshi, Deepa
Singaraju, N.
Muller, A.
Christen, R.
Malhotra, A.
Development of the conceptual framework (version 2.0) of the Multidimensional Digital Inclusiveness Index
title Development of the conceptual framework (version 2.0) of the Multidimensional Digital Inclusiveness Index
title_full Development of the conceptual framework (version 2.0) of the Multidimensional Digital Inclusiveness Index
title_fullStr Development of the conceptual framework (version 2.0) of the Multidimensional Digital Inclusiveness Index
title_full_unstemmed Development of the conceptual framework (version 2.0) of the Multidimensional Digital Inclusiveness Index
title_short Development of the conceptual framework (version 2.0) of the Multidimensional Digital Inclusiveness Index
title_sort development of the conceptual framework version 2 0 of the multidimensional digital inclusiveness index
topic digital innovation
inclusion
frameworks
assessment
sustainable development goals
stakeholders
artificial intelligence
url https://hdl.handle.net/10568/138705
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