Mental Health and Gender Inequality in the MENA Region: An Analysis of Shock Related Factors within the Context of the COVID-19 Pandemic

May 05 2022

This paper investigates the potential associations between factors that affected households during the pandemic (such as food insecurity) and the gendered mental health inequalities in the MENA region. To analyze these potential associations, the paper used data from the World Health Organization (five-question module to measure mental health and well-being) and the ERF COVID-MENA Monitor Survey panel dataset. The results … Read More

Assessing the Socioeconomic Impact of COVID-19 on Agriculture, Food Security, Livelihood and Food Systems in Liberia

Apr 18 2022

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 the socioeconomic impacts of COVID-19 on agriculture, food security, livelihoods, and food systems in Liberia. By combining the insights emerging from the … 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

Analyse synthétique des effets principaux de la COVID au Togo

Mar 03 2021

C’est dans ce contexte, et s’appuyant sur la stratégie dedonnées du Togo lancée en 2019, que le Programme desNations Unies pour le développement (PNUD) au Togo fait recours à Data-Pop Alliance (DPA) pour aider les autorités et la société togolaises à faire face à la COVID-19. Afin d’identifier les impacts de la pandémie de COVID-19 au Togo, le PNUD, en … Read More

Socioeconomic Assessment of the Impacts and Implications of COVID-19 in South Sudan

Mar 03 2021

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 of options in the absence of sustained structural changes (Section 2); then at the effects of COVID-19 on human development … Read More

Socioeconomic Impact Assessment of COVID-19 in Equatorial Guinea

Jan 21 2021

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 and community resilience, iv) supporting the macroeconomic response and multilateral collaboration. All with the objective of advancing towards the Sustainable … 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

Socio-economic, built environment, and mobility conditions associated with crime: A study of multiple cities

Jan 05 2021

Nowadays, 23% of the world population lives in multi-million cities. In these metropolises, criminal activity is much higher and violent than in either small cities or rural areas. Thus, understanding what factors influence urban crime in big cities is a pressing need. Mainstream studies analyse crime records through historical panel data or analysis of historical patterns combined with ecological factor … 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

Characterizing and Analyzing Urban Dynamics in Bogota (From the Paper Series: “Big Data to Address Global Development Challenges”)

Sep 16 2020

Using open data and mobile phone records, we explore this link with a spatial regression model that analyzes the environmental and the social conditions to which each part of the city is exposed. We found that physical characteristics of the city connected to higher urban diversity better explain the emergence of crime than traditional socio-economic conditions and, together, physical characteristics … 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

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

Nov 08 2021

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 communities and countries as complex human ecosystems not only ‘bounce back’ but also learn to adapt to maintain equilibrium 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

Moves on the Street: Classifying Crime Hotspots Using Aggregated Anonymized Data on People Dynamics

Sep 16 2020

This paper highlights the potential societal benefits derived from big data applications with a focus on citizen safety and crime prevention. Authors detail a case study tackling the problem of crime hotspot classification, that is, the classification of which areas in a city are more likely to witness crimes based on past data. In the proposed approach demographic information is … Read More