Current food systems are unable to meet the needs of millions of people who suffer from hunger, micronutrient deficiencies or diet-related chronic diseases and are highly vulnerable to environmental stressors.
Current food systems are unable to meet the needs of millions of people who experience hunger, miss key micronutrients, suffer from diet-related chronic diseases, and are highly vulnerable to environmental stressors.
Despite the rapid development and deployment of artificial intelligence (AI) in low- and lower-middle-income countries to address global health challenges, the limited sharing of lessons learned reduces the chances for success of subsequent innovations.
Artificial intelligence (AI) solutions and data science approaches are increasingly being used to identify risks, conduct predictive modeling and provide evidence-based recommendations for public health policy and action.
This project enables increased participation of Latin American research institutions, in collaboration with their national science granting councils, in the Trans-Atlantic Platform (T-AP) call for proposals on Recovery, Renewal and Resilience (RRR) in a Post-Pandemic World.
This project will address a regional gap in the response to epidemics in Latin America and the Caribbean (LAC) by developing a dynamic platform for interaction with interoperable analytical tools that will strengthen the understanding and prediction of infectious-disease epidemics, assess the impact of interventions and inform the public-health response.
The climate crisis, how governments respond to it and how this response impacts on the most marginalized are among the most pressing international issues going forward, and yet leadership on this issue is lacking.
The partnership for evidence and equity in responsive social systems (PEERSS) aims to advance evidence-informed policymaking, primarily in low- and middle-income countries (LMICs), to address social challenges, with a focus on the UN Sustainable Development Goals.
Amazonian indigenous peoples face mounting pressures over their territories, livelihoods, and cultural survival, and they face the threat of new epidemics emerging from human-animal-environment interactions.
Building on their existing commitments to advance the timely and effective use of evidence in policy and decision-making, The William and Flora Hewlett Foundation and IDRC have jointly increased their support to the Rapid and Responsive Evidence Partnership of teams in low- and middle-income countries.
This operational project will support the implementation of the Knowledge Accelerator for Climate Compatible Development project (#108754) by covering the operational costs including salaries and benefits, travel, and office costs.