As part of a national effort to chart a new vision for sustainable development, the UNDP-led “Study on the Future Drivers of Sustainable and Inclusive Development in Liberia (DoD Study)” investigates the structural challenges and opportunities shaping the country’s path...
As part of UN Women’s Research-in-Action series, the publication “Towards Caring Cities” investigates the transformative potential of urban care systems to advance gender equality and women’s economic empowerment. Conducted in collaboration with Data-Pop Alliance, the project focuses on how care...
The Recommendations Report on Increasing and Strengthening the Availability of Digital Sexual and Reproductive Health Services with Youth-Friendly Approaches provides a roadmap for improving youth access to SRHR through digital interventions. Drawing on extensive literature reviews, assessments, and case studies...
As part of UN Women’s Research-in-Action series, Towards Caring Cities explores how urban design, land use, and climate vulnerability intersect with the availability and accessibility of care services in Dhaka. Developed in partnership with Data-Pop Alliance, this study uses innovative...
The rapid growth of artificial intelligence (AI) offers significant potential to improve lives and drive economic progress globally. However, without intervention, AI risks perpetuating and amplifying societal biases, especially against historically marginalized groups. Challenges like discrimination, unfairness, and harmful stereotypes...
The inception report “Feminist Urban Design: A Gender-Inclusive Framework for Cities,” developed by CHANGE, Data-Pop Alliance, and Open Data Watch, introduces an interdisciplinary approach to making cities safer, more accessible, and inclusive for all genders. Building on feminist urbanism principles,...
This study carried out by Data-Pop Alliance with guidance from the Food and Agriculture Organization in Liberia and with support from the European Union (EU), the International Fund for Agricultural Development (IFAD) and the Government of Liberia, provides evidence on...
Artificial Intelligence (AI) systems employ learning algorithms that adapt to their users and environment, with learning either pre-trained or allowed to adapt during deployment. Because AI can optimize its behavior, a unit’s factory model behavior can diverge after release, often...
This project was a collaboration between the Global Risk Financing Facility, the Disaster Risk Financing & Insurance Program of the World Bank, the European Space Agency and Data-Pop Alliance. The following publications stem from the collaboration. Crisis Risk Finance Analytics...
Dans la riposte contre la COVID-19, le gouvernement Togolais décida d’instaurer des mesures de restriction de mobilité pour éviter la propagation du virus. L’analyse suivante se sert de sources de données innovantes pour caractériser les changements des tendances de mobilité...
This paper assesses both the direct and indirect effects of the pandemic and, weaving together the forementioned triple transitions, identifies implications for the donor community, including the UN System. First it looks at macroeconomic and fiscal prospects, noting a dearth...
This publication compiles extensive work focused on understanding the effects of COVID-19 in Equatorial Guinea and coordinating a response based on 5 pillars: i) putting health first, ii) protecting people through social protection and basic services, iii) promoting social cohesion...
Timely evidence for policymaking has been a consistent objective for UN organizations and member states. The classical data sources needed for official statistics have been expensive, time consuming, leading to delayed outcomes, and in certain cases impossible to access (e.g....
This report presents findings from an in-depth study of women’s engagement in the gig economy in Kenya and South Africa, two middle-income countries at the forefront of developments in digitally mediated work in sub-Saharan Africa. It aims to understand the...
The combination of increased availability of large amounts of fine-grained human behavioral data and advances in machine learning is presiding over a growing reliance on algorithms to address complex societal problems. Algorithmic decision-making processes might lead to more objective and...
This paper (in progress) outlines the Data–Pop Alliance’s ongoing research on Big Data, climate change and environmental resilience. The paper dives deeply into the conceptualization of climate change resilience, both specific and general; addresses Big Data contributions to understanding the...
This report explores the opportunities, challenges and required steps for leveraging this new ecosystem of Big Data to monitor and detect hazards, mitigate their effects, and assist in relief efforts. Ultimately the goal is to build resilience so that vulnerable...
