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.
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.
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.
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.
Every day, Africa’s burgeoning community of data scientists, machine learning specialists, and researchers is exploring how artificial intelligence (AI) can contribute to tackling local challenges south of the Sahara.
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.