This project will support the Climate Adaptation and Resilience (CLARE2) partnership by covering the operational costs (including salaries and benefits), office expenses and travel of project-paid positions required to implement the program.
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.
The Taliban takeover in Afghanistan in August 2021, accompanied by the withdrawal of the international military presence, generated a humanitarian and political disaster that is likely to last for years.
The 6th Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) confirmed that forest restoration is expected to help limit global warming and that restoration is biophysically feasible for up to two billion hectares of forests in low- and middle-income countries.
The fall of the government in Afghanistan in August 2021, with the withdrawal of the international military presence, has generated a humanitarian and political disaster that is likely to last for years.
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.
This project will seek to improve how artificial intelligence (AI) research as a field can measurably address social problems faced by women and marginalized communities, and to correct for historic exclusion and bias that currently exists in AI systems.
In South Asia, one of the significant challenges to achieving inclusive and equitable quality education for all (Sustainable Development Goal 4) is the large number of children who are out of school or at risk of dropping out.
Current data compilation, processing, and reporting practices, as part of education management information systems, provide snapshots that are used by decision-makers to consider overall needs for the improvement of education systems.