Key Messages:
Throughout the world, high-quality, timely and relevant data are key to inform actions that promote better access to food and improved nutrition.
Despite the...
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Digital Europa Thesaurus
decision
Reinforcement learning (RL), including multi-armed bandits, is a branch of machine learning that deals with the problem of sequential decision-making in uncertain and unknown environments through learning by practice. While...
Nutrition modeling tools (NMTs) generate evidence to inform policy and program decision making; however, the literature is generally limited to modeling methods and results, rather than use...
Increasing demand for food and environmental stressors are some of the most challenging problems that human societies face today and these have encouraged new studies to examine...
Four years ago, a group of senior scientists from the International Food Policy Research Institute (IFPRI) and the Institute of Development Studies (IDS), along with representatives from the Bill &...
Background: In response to the high levels of maternal nutrition in Uttar Pradesh, Alive & Thrive (A&T) aimed to strengthen the delivery of nutrition interventions through the government antenatal...
Agricultural data and their use for better decision-making and innovation are at the core of the digital transformation of agriculture. But fragmented and unclear data governance arrangements have raised concerns...
Women’s decisionmaking indicators are widely used in social science research, though insufficient attention is given to measurement issues. We interrogate variations in indicator construction...