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 countries across Southeast Asia, poor and marginalized populations face a series of justice gaps due to poor awareness of their rights as well as barriers to accessing the complex, formalistic, slow, and expensive legal mechanisms to enforce those rights.
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.
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.
Over the last two centuries, colonial occupation in Myanmar has created a political economy based on racial segregation, foreign labour, markets dominated by foreign capital, and the export of primary commodities.