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Our Communities of Practice

As problems in society have become more complex and the nature of solutions more independent, extension systems have increased pressure to work across traditional expertise, as well as geographic and institutional boundaries to leverage maximum impact from resources. In response to this pressure, networks and communities need to emerge as the basis for solving problems rather than single institutions.

The Platform’s communities of practice (CoP’s), which are part of the Platform’s Module 2: Convene, aim to leverage technology and new data resources to create broader and deeper impact in programming, as well as to build capacity internally and externally on big data approaches in agriculture.

The Platform established these Communities of Practice (CoPs) across Centers to work towards defining data standards and interoperability protocols, dovetailed with the Open Access and Open Data initiatives of the System Management Office.

They foster collaboration spaces and opportunities, facilitate connectivity and sharing of methodologies, and support the organization of capacity-building workshops.

News from our communities

Beyond the Census of Things

Beyond the Census of Things

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VIDEO: Beyond the Census of ThingsKeynote by CGIAR Platform for Big Data in Agriculture Coordinator, Brian King, at PhenoHarmonIS2018 Cali, ...
Webinar: Pier Luigi Buttigieg on publishing F.A.I.R data for agriculture development

Webinar: Pier Luigi Buttigieg on publishing F.A.I.R data for agriculture development

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[WEBINAR] Pier Luigi Buttigieg on publishing F.A.I.R data for agriculture development A semantic layer for the Sustainable Development Goals: Linking ...
Video: Demystifying ontologies for agriculture

Video: Demystifying ontologies for agriculture

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Learn about ontologies and their importance for making agricultural data interoperable with the interview of two experts in data management ...
Big Data approaches offer hope for improved livestock analysis

Big Data approaches offer hope for improved livestock analysis

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How can data-driven approaches improve the sustainability and resilience of food systems? And can these approaches be successfully applied in ...
Resurrecting your 'zombie' data just got a lot easier

Resurrecting your ‘zombie’ data just got a lot easier

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Resurrecting your 'zombie' data just got a lot easier The Planteome Project's latest platform update, released just in time for Halloween, ...
USAID case study highlights CIAT’s data-driven agronomy work

USAID case study highlights CIAT’s data-driven agronomy work

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An overview of how CIAT is using data analytics to help farmers make better on-farm decisions ...
Aligning needs with solutions: Data-driven agricultural innovation for Vietnam’s farmers

Aligning needs with solutions: Data-driven agricultural innovation for Vietnam’s farmers

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Vietnam's technology innovators and farmers convened at a workshop to gain a deeper appreciation of the challenges in the field ...
Mapping Maize using UAV Imagery

Mapping Maize using UAV Imagery

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Remote sensing-based crop mapping in sub-Saharan Africa (SSA) is challenging due to the small field size, intercropping, different crop species ...
If Mary has a little lamb, who should know about it?

If Mary has a little lamb, who should know about it?

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The GDPR and data science for agricultural development are at odds when it comes to delivering personalized products for the ...
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