Youth in Data

Workshops

*** APPLICATIONS FOR THE 2020 WORKSHOP CLOSE THURSDAY 15 OCTOBER **

The Youth in Data Workshop takes place every year alongside the Big Data in Agriculture Convention.

The workshop introduces participants to important themes around digital agriculture and how using big data approaches to agricultural development can accelerate food security goals. It also aims to engage youths working in digital agriculture on how to use digital media tools to communicate effectively to increase the impact of their work, and for those already working in media, to show them how to better report on digital agriculture projects.

The workshop runs over five action-packed days. During the first two days, delegates will learn the basics of digital agriculture, including the latest groundbreaking technologies, sector challenges, and career opportunities. They will also learn about using digital media as a powerful tool to communicate about development, covering social media, interviewing, blog writing, data reporting, and other media skills.

Delegates are then able to apply their newly-acquired skills during the three days of the annual CGIAR convention on Big Data in Agriculture, engaging through social media, interviewing and connecting with leading industry experts, speakers and Inspire Challenge finalists, and by writing blogs, which will be published on BIG DATA’s website.

 

2020 workshop

Online & Global

130 delegates

2019 workshop

Hyderabad

30 delegates

2018 workshop

Nairobi

10 delegates

Read the articles and watch the videos produced by the Youth in Data delegates

Can livestock development be ethical and sustainable? A student looks for the facts

Can livestock development be ethical and sustainable? A student looks for the facts

This is one of a series of blogs written by our Youth in Data delegates who participated in the 2020 CGIAR Convention on Big Data in Agriculture. The global event was held virtually 19-23 October, 2020.
Youth can be helpful allies in the collection of quality data to scale for modeling

Youth can be helpful allies in the collection of quality data to scale for modeling

This is one of a series of blogs written by our Youth in Data delegates who participated in the 2020 CGIAR Convention on Big Data in Agriculture. The global event was held virtually 19-23 October, 2020.
The Importance of Livestock in Creating Sustainable and Equitable Food Systems

The Importance of Livestock in Creating Sustainable and Equitable Food Systems

This is one of a series of blogs written by our Youth in Data delegates who participated in the 2020 CGIAR Convention on Big Data in Agriculture. The global event was held virtually 19-23 October, 2020.
2020 Youth in Data Video Interview - Adekoya Femi and Ram Dhulipala

2020 Youth in Data Video Interview – Adekoya Femi and Ram Dhulipala

2020 Youth in Data Delegate Adekoya Femi interviews Ram Dhulipala, Leader of the Digital Agriculture Theme at the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), as part of the 2020 Youth in Data Digital workshop which took place alongside the virtual CGIAR Convention on Big Data in Agriculture.
2020 Youth in Data Video Interview - Adekoya Femi and Daniel Jiménez

2020 Youth in Data Video Interview – Adekoya Femi and Daniel Jiménez

2020 Youth in Data Delegate Adekoya Femi interviews Dr. Daniel Jiménez, Scientist and Leader Community of Practice Data-Driven Agronomy at the Alliance of Bioversity International and CIAT, as part of the 2020 Youth in Data Digital workshop which took place alongside the virtual CGIAR Convention on Big Data in Agriculture.
2020 Youth in Data Video Interview - Meghana Rangaraju Sai and Ajay Kumar Tannirkulam

2020 Youth in Data Video Interview – Meghana Rangaraju Sai and Ajay Kumar Tannirkulam

2020 Youth in Data Delegate Meghana Rangaraju Sai interviews Ajay Kumar Tannirkulam, 2020 Inspire Challenge Finalist– FarmPhone for Sustaining Incomes & Market Access, as part of the 2020 Youth in Data Digital workshop which took place alongside the virtual CGIAR Convention on Big Data in Agriculture.
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