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Wednesday, September 20 • 13:30 - 16:45
Data Driven Agronomy Community of Practice Meeting

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Data-driven Agronomy Community of Practice is led by CIAT and has been launched as a part of the CGIAR Platform for Big Data in Agriculture. The main purpose of this Community of Practice is to harness modern information technologies to advance agricultural practices, in relation to particular socio-economic and environmental contexts in a way that promotes the democratization and transparency of agricultural information.

In this session, we will provide a general agreement upon the vision of Data-driven Agronomy, after it has been enriched with different shared prospects by speakers from the private and academy sectors; such as Zia Mehrabi and Guillaume Garin from the University of British Columbia and ITK, respectively. This space will be used to share, discuss and arrange short and long term data-driven agronomy in order to build a joint agenda.

Objectives:

  • The participants have a better understanding of key actors involved in DDA and their strength;
  • The participants agree on a common definition of DDA;
  • The participants agree on a common vision for the DDA CoP;
  • The participants identify next concrete actions at short and long term.


Agenda: 

13:30- 13-45 (15 min) Short introduction of the session and its objectives by Daniel

13:45- 14:05 (20 min) Private sector (ITK) and University present shortly and from their perspective (10 min each):

14:05- 14:15 (10 min) Daniel present actor map and main strengths of each type of actor.

Participants identify actors that are not presented in the map. They can come at the end to adjust/add.

14:15- 14:45 (30 min) Facilitated session to come up with the main elements that define DDA

BREAK 

15:00- 15:20 (20 min) Co-formulate the vision of DDA CoP

15:20- 15:50 (30 min) Present from different sector perspective the formulated vision and mission and agree on a common ones.

15:50- 16:20 (30 min) Identify key next concrete actions at short and long term to contribute to agriculture in developing world.

 


Moderators
avatar for Daniel R. Jiménez

Daniel R. Jiménez

Scientist, CIAT
Daniel Jiménez is an award-winning scientist at the International Center for Tropical Agriculture (CIAT). A pioneer of using artificial intelligence techniques for agricultural research in developing countries, he coordinates the Data-Driven Agronomy Community of Practice of the... Read More →
avatar for Wietske Kropff

Wietske Kropff

Coordinator, CIAT

Speakers
avatar for Guillaume Garin

Guillaume Garin

Agronomist Modeller, ITK
Guillaume Garin works at ITK in Montpellier, France. He has a PhD in crop disease modeling and does applied research in agronomy and modeling, where he develops Decision Support Tools for farmers.
avatar for Zia Mehrabi

Zia Mehrabi

Postdoctoral Fellow, University of British Columbia
Zia Mehrabi is a Postdoctoral Research Fellow at the University of British Columbia, where he works with a talented team of researchers at the Land Use and Global Environment Lab to compile and analyze large agricultural data sets, and with an equally impressive group at the Centre... Read More →


Wednesday September 20, 2017 13:30 - 16:45
Tropics Room CIAT HQ, Cali, Colombia

Attendees (24)