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:
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.
