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Collaborate and convene around big data and agricultural development

The Platform empowers CGIAR and its community to deliver on the potential of big data to bring results for smallholder agriculture.

It develops ambitious external partnerships, bringing together big data practitioners with global private sector brands, local start-ups, universities, and others to facilitate collaboration and ideation. It convenes an annual big data in agriculture convention, bringing key actors to CGIAR to generate innovations and democratize big data opportunities. The Platform builds capacity internally and externally on big data approaches in agriculture, developing communities of practice that will encourage interaction and further engage a range of actors to produce new ideas to solve development problems.

The Big Data in Agriculture Convention

The Platform organizes an annual Convention for Big Data in Agriculture as a way to bring together the community of scientists, researchers, technologists, development experts, policy analysts, donors, advocates, change agents, last mile implementers, and many others at the intersection of big data and agriculture.

The goal is embracing big data approaches to solve agricultural development problems faster, better and at a greater scale than ever before.

Convention 2017

An Alliance for a Data Revolution

The first Convention for CGIAR Big Data in Agriculture Convention took place in September 2017 at the International Center for Tropical Agriculture’s headquarters in Cali, Colombia . It convened some 300 global innovators, researchers, and thought leaders from public, private and non-profit partners.

The content and attendee list was carefully curated to foster new alliances and advance the discipline of digital agriculture for CGIAR and the sector. The Convention was an important vehicle for recruiting new Community of Practice (CoP) members, and attendees identified critical policy, infrastructure, and investment priorities for the agriculture development sector and contributed to a genuinely multi-stakeholder plan of action for the Platform.

Convention 2018

Decoding the Data Ecosystem

The 2018 Convention will focus on Decoding the Data Ecosystem. Participants will dive into ways the data ecosystem for food security can integrate with real ecosystems worldwide, from the global to the local, across public, private, and non-profit goods. The Convention will take place at the campus of the World Agroforestry Center (ICRAF) and will be co-hosted by ICRAF and the International Livestock Research Institute. It is a great opportunity to highlight data-driven approaches to multi-scale food systems analysis, landscapes, ecosystem services, and the special role of animal science in building resilient food systems worldwide. It will offer three days of focused, action-based discussion to find commonalities across research institutes, governments, and private organizations set the stage for a productive and data-driven year ahead.

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) 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.

Data-driven Agronomy

A community aimed at collectively strengthening the innovation of technology and big data to tackle an array of agricultural challenges – including the closing of yield gaps – to reduce hunger and poverty and transform global agriculture.

Crop Modelling

A community that encompasses a wide range of quantitative applications, based around the broad concept of parametrizing interactions within and among the main drivers of cropping system.

Geospatial Data

A community that facilitates CGIAR’s research using geospatial data and analysis, undertaking activities to bring spatial scientists together through a series of coordinated communications and activities.

Livestock Data

A community that brings together livestock and data modellers with project implementers and decision makers from industry, the public sector and NGOs o drive informed livestock decision-making through the better use of existing data and analyses.

Ontologies Data

A community that focuses on the use and application of semantics for data harmonization at the levels of collection and storage, and for data interoperability and data discovery following the FAIR principles.

Socio-economic Data

A community that works on strategies to make the data interoperable, in order to enhance the impact and the use of CGIAR-related socio-economic data for partners in development.