Informe Nacional Voluntario Guinea Ecuatorial 2022

Jul 22 2022

Guinea Ecuatorial adoptó la Agenda 2030 de los Objetivos de Desarrollo Sostenible (ODS), con el objetivo de erradicar la pobreza, proteger el planeta y así facilitar que todas las personas vivan en paz y prosperidad, por un lado, y, por otro lado, para movilizar los medios y recursos necesarios para su implementación mediante alianzas y planes inclusivos. Con base a este … Read More

Leveraging Big Data Sources to Estimate the Demographic and Economic Impacts and Implications of COVID-19 in Maldives

May 03 2022

The COVID-19 pandemic is having an unprecedented global impact on societies and economies across the world. In the Maldives, while the number of COVID-19 confirmed cases remains relatively low compared to many other countries and the number of deaths is under 50 as of December 14, the socio-economic toll is significant. According to the Ministry of National Planning, Housing and … Read More

Rapid Assessment of Covid-19 Impact and Roadmap for Recovery in Liberia

Mar 03 2021

This report presents the Rapid Assessment of the Socio- economic impact of COVID-19 and the Roadmap for Recovery in Liberia. It has been produced by the United Nations Country Team (UNCT) in Liberia, in collaboration with the Ministry of Finance and Development Planning (MFDP), and Development Partners. Through this exercise, the United Nations (UN), Government and Partners have sought to … Read More

Digital Technology Shaping Green and Sustainable Lifestyles: Exploring Alipay Ant Forest

Sep 04 2020

Alipay Ant Forest, launched by Ant Financial in 2016, is a green initiative embedded on Alipay’s digital lifestyle platform. This report analyzes Alipay’s Ant Forest trajectory as a green digital innovation that has achieved exponential growth over the past three years. Ir further models the implications that scaling a platform such as Ant Forest could catalyze in additional countries. The analysis … Read More

Big Data to Address Global Development Challenges (Paper Series)

Nov 06 2020

These 4 research papers were developed in collaboration with and funded by the Agence française de développement (AFD) between 2016 and 2019 under a joint program with Data-Pop Alliance and research partners. The aim was to strengthen the evidence-base for leveraging Big Data to address global development challenges in local contexts. Individually, the papers show specific cases and examples of how … Read More

Big Data – Predicting and preventing climate-related shocks

Sep 16 2020

Big Data as a socio-technological phenomenon has the potential to generate new insights on the functioning and interaction of human and natural ecosystems. In particular, Big Data can improve our understanding of how societies deal with shocks related to climate change, and inform policies and actions to foster adaptive mechanisms. However, such positive effects will not occur automatically and investments … Read More

Socio-Physical Vulnerability to Flooding in Senegal

Sep 16 2020

Each year thousands of people and millions of dollars in assets are affected by flooding in Senegal; over the next decade, the frequency of such extreme events is expected to increase.  However, no publicly available digital flood maps, except for a few aerial photos or post – disaster assessments from UNOSAT, could be found for the country. This report tested … Read More

Big Data for Climate Change Resilience

Sep 16 2020

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 components of climate risk; and identifies gaps and challenges to Big Data applications to climate resilience decision-making. Finally, authors offer … Read More

Correcting for Sample Bias with Application to the Case of Senegal

May 21 2021

This paper sets out to explain modeling and correcting sample bias in Call Detail Records (CDRs). A proper understanding of sample bias is key to producing useful estimates derived from CDRs: such calculations rely heavily on a good understanding of how the sample (cell-phone users) relates to the larger populations it is drawn from. It could have major applications in … Read More

Big Data for Climate Change and Disaster Resilience: Realising the Benefits for Developing Countries

Sep 16 2020

This paper valuates the opportunities, challenges and required steps for leveraging the new ecosystem of Big Data to monitor and detect hazards, mitigate their effects, and assist in relief efforts as poor communities become more vulnerable to natural hazards. There have been increasing calls to make disaster risk reduction a core development concern and to build resilience so that vulnerable communities … Read More