Capacity building
It is our priority not only to deliver a reliable and good quality ICT solution, but also to train the relevant staff and organizations to optimally benefit from the information and tools provided. We build partnerships with public and private organizations and contribute in strong value-adding service chains.
To increase the capacity of people and organizations working with our services, we undertake capacity development at different levels.
- We support building up capacity, for example staff members of Meteorological Agencies, with capacity interventions. These are often multiple-day sessions on the topics of Ensemble Numerical Weather Predictions, validation and evaluation of weather models, programming, ICT solutions and development of Public Private Partnerships.
“There is a real added value in helping our local partners to build up capacity and give them the needed training, so they can understand and use our services provided in the right way”
- We organize practical trainings with our local-partner organizations on the topics of weather forecasting, agro-meteorological services and decision making under uncertain circumstances. These are often train-the-trainer sessions to pass the knowledge on to extension officers or development agents (the trainers), who in their turn are in contact with farmers. The farmers are finally supported in understanding the weather information provided to them. In this way, a cascade of knowledge transfer is being generated and embedded in the local context.
- We involve the users of our services directly in co-creation and co-design sessions. This way farmers participate in shaping a tool that is truly usable, relevant, and effective. It improves clarity and accessibility.
- In the process of developing agro-meteorological services, it is key to bring together agronomist knowledge with meteorological knowledge. To enable this, we organize different co-creation workshops with relevant partners. During such workshops, the goal is to exchange agronomic and meteorological knowledge, to define and design new operational models for crop advisories or services.
