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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...
Sexual and gender–based violence (SGBV) is a multifaceted, endemic, and nefarious phenomenon that remains poorly measured and understood, despite greater global awareness of the issue. While efforts to improve data collection methods have increased–including the implementation of the Demographic and...
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,...
Work by Data-Pop Alliance on steps 1-5 has been integrated into FAIR Process Framework webpage, which offers a comprehensive guide to implementing FAIR (Findable, Accessible, Interoperable, and Reusable) data principles, designed to enhance data management and collaboration across projects. Developed...
Despite the wealth of research on disinformation, knowledge production is unevenly distributed among research areas. The systematic literature review brought in the event paper “Politics vs. Policy in Disinformation Research” explains how disinformation is addressed within the fields of Public...
The world of 2024 should be much safer, fairer, more empathetic, sustainable, and hospitable than it currently is. AI’s contribution to this vision should also be much more positive than the trajectory we see today. Anger and frustration can either...
Child pornography—better known as child sexual abuse material (CSAM)—represents a severe form of exploitation and victimization of children, leaving the victims with emotional and physical trauma. This study presents an analysis of local patterns of CSAM consumption across 1341 French...
Artificial intelligence (AI) can contribute to the United Nations Sustainable Development Goals (SDGs) and 2030 Agenda to end extreme poverty, advance gender equality, protect natural ecosystems, and promote inclusive societies, among others. One channel involves using AI and new digital...
10 YEARS IN REVIEW: A LETTER FROM OUR DIRECTOR Finding appropriate metrics to summarize a decade of work by and at Data-Pop Alliance is not easy. It could be the number of projects completed (over 100), of our publications (92),...
The unprecedented shock caused by the COVID-19 pandemic, and its evolving aftermath, have put our globalized economic and societal systems to a stress test laying bare the pre-existing fault lines, inefficiencies, and fragilities. For the seven countries of the Western...
Links We Like Turns 40! Technically, Links We Like (LWL) has been around for seven years, and in that time we have produced 40 editions, all of which are compiled here in a downloadable PDF form. LWL began in 2015...
The near-ubiquitous use of mobile devices generates mobility data that can paint pictures of urban behavior at unprecedented levels of granularity and complexity. In the current period of intense sociopolitical polarization, mobility data can help reveal which urban spaces serve...
With the increased application of Earth Observation (EO) data, combined with the higher spatial and temporal granularity of data and the potential benefits of Machine Learning (ML) algorithms, ethical concerns around EO have become more salient. In this science-policy brief,...
Even for the most optimistic, any hopes that 2021 and the first half of 2022 would constitute a decisive upward inflection from recent and old trends should, by now, unfortunately have been put to rest. The past year has been...
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...
Last year exposed and exacerbated pre-existing fault lines that had been previously ignored or minimised by those who claimed that 2019 was “the best year in history” only weeks before the pandemic shredded this illusion. Data exposed systemic inequities and...
Georeferenced digital trace data offer unprecedented flexibility in migration estimation. Because of their high temporal granularity, many migration estimates can be generated from the same data set by changing the definition parameters. Yet despite the growing application of digital trace...
The policy paper looks at how digital technologies and data have been applied to fight the Coronavirus. The paper summarizes main debates and questions around these initiatives to reflect on their usefulness, implications, limitations, risks and their requirements. Furthermore, it...
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....
The coronavirus 2019–2020 pandemic (COVID-19) poses unprecedented challenges for governments and societies around the world. Non-pharmaceutical interventions have proven to be critical for delaying and containing the COVID-19 pandemic. These include testing and tracing, bans on large gatherings, nonessential business...
Data-Pop Alliance was born 7 years ago out of the recognition that the defining element of the 21st century would be data. Since, phrases such as ”Big Data” and “Data Revolution” have been largely replaced by “Fourth Industrial Revolution” and...
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...
