This project has two components. First, it conducts social media listening exercises in Africa to understand conversations related to COVID-19 and poliovirus. Second, it supports research to test interventions to reduce vaccine hesitancy among social media users using machine learning.
Activity Type Research/Reports/AssessmentsAwareness/AdvocacyThis solution is a dashboard that provides dynamic maps for Population Movement and Poverty Nowcasting based on anonymized and aggregated insights from mobile phone data. It uses machine learning models trained on government census data and telecom data.
Activity Type AI Tools/SolutionsResearch/Reports/AssessmentsThe Damage Assessment solution uses AI models to help identify damaged buildings from high-resolution satellite imagery for humanitarian response planning and aid allocation following natural disasters. The solution uses three models from Google Research: Open Buildings, SKAI Zero-Shot and the SKAI Fine-Tuned model.
Activity Type AI Tools/SolutionsResearch/Reports/AssessmentsThis project uses an AI-powered public radio social listening tool to mine data on perceptions around Gender Based Violence (GBV), Violence Against Women and Girls (VAWG), Harmful Practices (HP), Sexual Reproductive Health Rights (SRHR), and Violence Against Children (VAC). The data provides insights for timely and targeted interventions. Radio remains the most popular source of information in Uganda, used by different people irrespective of their demographics. Radio shows allow two-way communication between radio studios and people in the community through call-ins, making them a rich representation of the people that are digitally marginalized.
Activity Type AI Tools/SolutionsResearch/Reports/Assessments