Operationalizing the FAIR principles at CGIAR
This training framed FAIR as a practical approach to making CGIAR data reusable at scale, for both humans and machines. It clarified where FAIR...
CGIAR works with partners in six major regions to jointly address challenges to food, land, and water systems.
More information about CGIARThis training framed FAIR as a practical approach to making CGIAR data reusable at scale, for both humans and machines. It clarified where FAIR...
Diet quality monitoring in Guatemala has evolved significantly since 2023, placing participants at the center and emphasizing their interaction with...
Ethical AI must begin with ethical data practices, because datasets—often collected from people without consent or fair representation—shape AI...
The Bulletin Builder is an open, web-based platform designed to automate the creation of agroclimatic bulletins. Usability testing of this tool was...
The Digital Agroclimatic Plot in Guatemala’s Dry Corridor represents an innovative approach to strengthening agricultural decision-making in highly...
The agroclimatic dashboard provides access to key climate variables, including precipitation, air temperature, relative humidity, dew point, and...
Livestock are increasingly exposed to heat stress which impacts their welfare and productivity. This report describes the development of a digital...