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Leveraging digital tools for adaptive food systems in India during the COVID-19 lockdown
A look at how digital tools and technologies have been and could be used to overcome coronavirus-related challenges to agricultural supply chains ...
COVID-19: How the development community can contribute to food system recovery and resilience
In the face of the novel coronavirus pandemic, open, data-driven collaboration and digitally-enabled global collective action are key tools for recovering and (re)building resilient global food systems ...
8 food security implications of the COVID-19 crisis
From disrupting agricultural input supply chains to carving out new crisis response roles for social media, the pandemic’s impacts on the state of global food security are vast and variable ...
FAIR is the new Open when it comes to big data
When we talk about big data, it's important to remember that bigger is not always better and open is not always enough ...
What’s next for CGIAR?
In 2019, a working group comprised of CGIAR funders and center and program made recommendations of possible improvements to the efficiency of CGIAR. Here´s a look at what's ahead for ...
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WEBINAR SUMMARY – Big data & COVID-19: Future food systems (Eps. 6)
The sixth episode of our Discussion Series: Big data solutions to COVID-19 & food security, brought together two panelists to discuss future food systems.
WEBINAR SUMMARY – Big data & COVID-19: Bridging gaps & building resiliency with digital agriculture platforms – Part 2 (Eps. 5)
The fifth episode of our Discussion Series: Big data solutions to COVID-19 & food security, brought together four panelists to discuss bridging gaps and building resiliency with digital agriculture platforms.
Webinar – FAIR Guidelines & Assessment in GARDIAN
A webinar organized by the CGIAR Platform for Big Data in Agriculture on FAIR data principles and their impact on Open Science.
WEBINAR SUMMARY – Big data & COVID-19: Tools for agile adaptation: Digital extension & advisories (Eps. 3)
The third episode of our Discussion Series: Big data solutions to COVID-19 & food security, brought together four panelists to discuss tools for agile adaptation regarding digital extension and agricultural advisories.
WEBINAR SUMMARY – Big data & COVID-19: Input supply chains & on-farm realities (Eps. 2)
The second episode of our Discussion Series: Big data solutions to COVID-19 & food security, brought together four panelists to discuss challenges and solutions to input supply chains and on-farm realities.
Leveraging digital tools to transform Africa’s food systems
As Covid-19 continues to disrupt food distribution systems, it is not only critical to ensure that supply chains continue to function, but also to assess how to emerge stronger from the crisis.
News from our Communities of Practice
Youth in Data
My takeaways as a Youth in Data delegate at the 2019 BIG DATA convention
Here is a sneak peek into my experience as a youth delegate during the 2019 BIG DATA convention.
Transforming the agricultural sector with big data tools
Big data approaches take on the challenge of creating a more food secure world.
VIDEO: Q&A with Gideon Kruseman from CIMMYT
2019 Youth in Data delegates Madiha Sadaf and Hiba Anjum interview Gideon Kruseman from the International Wheat and Maize Improvement Center on the Big Data Platform Community of Practice on Socio-Economic Data.
VIDEO: Q&A with Kevin Gitau from iShamba
2019 Youth in Data delegate Joorie Bhattacharya interviews Kevin Gitau from iShamba on his 2019 Inspire Challenge finalist project "Let it Rain.”
VIDEO: Q&A with Ram Dhuliballa from ICRISAT
2019 Youth in Data delegate Syeda Ruqhaiya Fatima interviews Ram Dhuliballa from the International Crops Research Institute for the Semi-Aid Tropics (ICRISAT) on his 2019 Inspire Challenge finalist project "Climate information services to manage climate risks."
VIDEO: Q&A with Allard de Wit from Wageningen University & Research
2019 Youth in Data delegate Habeebuddin Mir interviews Allard de Wit from Wageningen University & Research on his 2019 Inspire Challenge finalist project “SLAM (Self-learning for agriculture management)."
BIG DATA ACROSS CGIAR
