Population 2022 (Millions)


HDI Score
2021 (Max. 1)


SDG Score
(Max. 100)


Gender Inequality
Index Score
(Max. 1)


Internet Inclusivity
Index 2022
(100 countries)

Sources: 1. World Bank (2022), 2, UNDP (2021), 3. Sustainable Development Report (2023), 4. UNDP (2021), 5. Economist Impact (2022)


Situated in eastern-central Africa, Uganda has richly fertile soil, and a cosmopolitan capital city, Kampala. Subsequently, nearly 80% of the country’s population works in agriculture, and Ugandan coffee is world-renowned for its quality. Unfortunately, the country has its fair share of challenges as well. These include political instability, with a history of unrest, coups, and conflict with neighboring countries. While Uganda has experienced significant economic growth and poverty reduction, there are still large segments of the population living in poverty. Additionally, high unemployment rates (especially for young people), corruption, and income inequality present additional barriers to Uganda’s economic and social development.


Consulting Services on International AI-policy and Data Governance Policies, Data Protection, and Privacy for GIZ Fair Forward

FAIR Forward Artificial Intelligence was a GIZ initiative aimed at promoting and achieving a more inclusive and sustainable approach to AI at the international level. This was accomplished through three pillars of work: 1) strengthening local AI technical know-how, 2) removing entry barriers to AI by improving access to AI technologies and data, and 3) developing policy frameworks, including ethical AI, data protection, and privacy guidelines. DPA provided consulting services in the form of reports, guidelines, and advisory assistance under these pillars of work throughout 2021. As a result, reports and tools on subjects as diverse as the ethical use of machine learning for Earth observation, a gender-sensitive approach to AI, operating and business models to sustain open AI resources, and available data governance models for AI initiatives, among others, were produced for and incorporated by the GIZ FF initiative in its projects.

GIZ Customized Data Sharing Toolbox and Recommendations for GIZ’s Data Strategy

The GIZ FAIR Forward (GIZ FF) Artificial Intelligence initiative aims to promote and achieve a more open, inclusive and sustainable approach to AI at an international level. With partners in Uganda, the initiative seeked, specifically, to 1) strengthen local technical know-how on AI; 2) to remove entry barriers to AI by improving access to training data and AI technologies for local innovation; and 3) to develop policy frameworks ready for AI including ethical AI, data protection and privacy. In the framework of this consultancy, Data-Pop Alliance supported GIZ FF in the creation of fact-sheets and reports, and contributed to GIZ partnerships and events, including virtual working group meetings, events, and study trips, among others. In addition to this, DPA supported the creation and implementation of a data governance model in Uganda.

Landscape Mapping and Review of Technology-Based Interventions to Address Child Marriage and Female Genital Mutilation Across 13 Countries in Asia and Africa

The need to end child marriage and FGM has never been greater –without accelerated progress to end both of these harmful practices, millions of women and girls across the globe will continue to be in danger. DPA, in collaboration with UNICEF and UNFPA, conducted a comprehensive landscape mapping and review of key technology-based interventions to address child marriage and FGM across 13 countries in Africa and Asia (Bangladesh, Burkina Faso, Egypt, Ethiopia, Ghana, India, Kenya, Mozambique, Nepal, Sierra Leone, Sudan, Uganda, Zambia). During the second phase of the project, DPA carried out an in depth review of three selected interventions to better understand their effectiveness, key success factors, and potential areas for improvement.
The methodology proposed by DPA was based on intersectional feminist approach and an analysis integrating both quantitative and qualitative research methods, as well as traditional and non-traditional data sources collected at different stages of the study, underpinned by a participatory approach involving UNICEF, UNFPA, and other stakeholders.