IRRI's Digital and Data Strategy (Framework)

Our global environmental, nutritional, and AI landscapes are changing. As a non-partisan international organization, we have a unique position to partner with regional and global organizations to drive climate resilience, address health challenges, and integrate solutions for improved livelihoods. P...

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Autor principal: Gimena, Joy Marie
Formato: Brief
Lenguaje:Inglés
Publicado: International Rice Research Institute 2026
Materias:
Acceso en línea:https://hdl.handle.net/10568/180164
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author Gimena, Joy Marie
author_browse Gimena, Joy Marie
author_facet Gimena, Joy Marie
author_sort Gimena, Joy Marie
collection Repository of Agricultural Research Outputs (CGSpace)
description Our global environmental, nutritional, and AI landscapes are changing. As a non-partisan international organization, we have a unique position to partner with regional and global organizations to drive climate resilience, address health challenges, and integrate solutions for improved livelihoods. Partners and country governments are already adapting by investing in climate resilient and nutritionally sustainable breeding pipelines, digital public infrastructure, and data driven support tools (for themselves and farmers). The private sector requires real-world data and expertise to validate models, fine tune se rvice offerings, and integrated solutions for bundling to ensure sustainable business models. A fragmented agricultural food system with complex needs and increasingly more private sector players requires connected and data-informed digital solutions to drive transformation across the food system's value chain. IRRI and CGIAR must establish strong partnerships in the ASEAN region to support South-South collaboration, and integrated data-driven, accessible solutions. IRRI’s 2025 – 2030 digital and data strategy follows an integrated framework to address all components of accelerating IRRI’s digital and data capabilities, outputs, and partner integration. Ultimately, IRRI seeks to create integrated expertise, toolkits, and processes to ensure IRRI’s knowledge products (e.g., data, expertise) are best leveraged for the greatest impact and have maximum contributions to CGIAR. This will be resourced through a combination of internal investment and targeted proposals. IRRI’s digital and data strategy focuses on internal and external facing activities to ensure maximum impact. These activities will ultimately seek to create impact by improving advisory support services (e.g., Analytics, Geo-Spatial, Climate Credit Modeling, Data Science, Bioinformatics), targeted research for higher yields and farmer resiliency, incubate more cohesive research, and drive data and model validation with partners.
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spelling CGSpace1801642026-01-20T00:26:08Z IRRI's Digital and Data Strategy (Framework) Gimena, Joy Marie digital agriculture climate resilience knowledge management expert systems decision-support systems partnerships advisory services sustainable agriculture food systems plant breeding Our global environmental, nutritional, and AI landscapes are changing. As a non-partisan international organization, we have a unique position to partner with regional and global organizations to drive climate resilience, address health challenges, and integrate solutions for improved livelihoods. Partners and country governments are already adapting by investing in climate resilient and nutritionally sustainable breeding pipelines, digital public infrastructure, and data driven support tools (for themselves and farmers). The private sector requires real-world data and expertise to validate models, fine tune se rvice offerings, and integrated solutions for bundling to ensure sustainable business models. A fragmented agricultural food system with complex needs and increasingly more private sector players requires connected and data-informed digital solutions to drive transformation across the food system's value chain. IRRI and CGIAR must establish strong partnerships in the ASEAN region to support South-South collaboration, and integrated data-driven, accessible solutions. IRRI’s 2025 – 2030 digital and data strategy follows an integrated framework to address all components of accelerating IRRI’s digital and data capabilities, outputs, and partner integration. Ultimately, IRRI seeks to create integrated expertise, toolkits, and processes to ensure IRRI’s knowledge products (e.g., data, expertise) are best leveraged for the greatest impact and have maximum contributions to CGIAR. This will be resourced through a combination of internal investment and targeted proposals. IRRI’s digital and data strategy focuses on internal and external facing activities to ensure maximum impact. These activities will ultimately seek to create impact by improving advisory support services (e.g., Analytics, Geo-Spatial, Climate Credit Modeling, Data Science, Bioinformatics), targeted research for higher yields and farmer resiliency, incubate more cohesive research, and drive data and model validation with partners. 2026-01-19 2026-01-20T00:26:07Z 2026-01-20T00:26:07Z Brief https://hdl.handle.net/10568/180164 en Limited Access International Rice Research Institute Gimena, Joy Marie (2025). IRRI's Digital and Data Strategy (Framework). International Rice Research Institute, Los Baños, Philippines.
spellingShingle digital agriculture
climate resilience
knowledge management
expert systems
decision-support systems
partnerships
advisory services
sustainable agriculture
food systems
plant breeding
Gimena, Joy Marie
IRRI's Digital and Data Strategy (Framework)
title IRRI's Digital and Data Strategy (Framework)
title_full IRRI's Digital and Data Strategy (Framework)
title_fullStr IRRI's Digital and Data Strategy (Framework)
title_full_unstemmed IRRI's Digital and Data Strategy (Framework)
title_short IRRI's Digital and Data Strategy (Framework)
title_sort irri s digital and data strategy framework
topic digital agriculture
climate resilience
knowledge management
expert systems
decision-support systems
partnerships
advisory services
sustainable agriculture
food systems
plant breeding
url https://hdl.handle.net/10568/180164
work_keys_str_mv AT gimenajoymarie irrisdigitalanddatastrategyframework