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English

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...

This book summarizes the most important findings of the Data for Refugees (D4R) Challenge, which was a non-profit project initiated to improve the conditions of the Syrian refugees in Turkey by providing a database for the scientific community to enable...

This paper discusses the possibility of applying the key principles and tools of current artificial intelligence (AI) to design future human systems in ways that could make them more efficient, fair, responsive, and inclusive.

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The breadcrumbs we leave behind when using our mobile phones—who somebody calls, for how long, and from where—contain unprecedented insights about us and our societies. Researchers have compared the recent availability of large-scale behavioral datasets, such as the ones generated...

This final report describes the general scope of the project as well as the proposed approach to develop and evaluate socio-economic indicators exploring Big Data sources and methodologies available in the Maldives. In particular, the aim of this document is...

The main objective of this paper is to discuss whether and how the future of algorithms can be crafted such that their development and deployment—from their design to their use, including control, evaluation, auditing, governance—be based on and foster core...

Populations are highly mobile, both in terms of long term movements of individuals relocating their place of residence as well as shorter term mobility such as commuting, seasonal travel and recreational trips. Working with call detail record data from Namibia...

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...

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...

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...

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...

The United Nations (UN) Universal Periodic Review (UPR) is a process established by the Human Rights Council aiming to monitor and improve the human rights situation in each UN member state. In this study, we hypothesize that leveraging text mining...

The main objective of this paper is to discuss whether and how the future of algorithms can be crafted such that their development and deployment—from their design to their use, including control, evaluation, auditing, governance—be based on and foster core...

We focus our attention on social good decision-making algorithms, that is algorithms strongly influencing decision-making and resource optimization of public goods, such as public health, safety, access to finance and fair employment. Through an analysis of specific use cases and...

Este documento se realizó en el marco de un proyecto apoyado por el Banco Mundial e implementado por Data-Pop Alliance en asociación con el Departamento Administrativo Nacional de Estadística de Colombia – DANE. Data-Pop Alliance es una coalición sobre Big...

Recognizing that complexity calls for innovative, conceptual, and methodological solutions, this unique book offers practical guidance to policymakers, managers, and evaluation practitioners on how to design and implement complexity-responsive evaluations that can be undertaken in the real world of time,...

This dissertation analyzes and discusses various applications and implications of BigData for demo-economic analysis, focusing on the analysis of cell-phone data collected by telecommunication operators for billing purposes, commonly referred to as call-detail records, or CDRs, which include the time...

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...

As the first event paper in the digitising Europe’s series, this event paper captures the major key themes emerging from our events in Berlin in November 2015. The Berlin workshop and public forum focused on the possibilities and pitfalls of...

This paper attempts to delineate the broad contours of “data literacy” through analysis of its history, definition, expectations, application, and promotion. The paper thus defines “data literacy” as “the desire and ability to constructively engage in society through and about...

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...

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...

This paper attempts to define what is a group and what is privacy in order to determine how a privacy right might attach to groups distinctly from the individual privacy rights of its members, and what might be the content...

This paper describes the fundamental nature of Big Data as an ecosystem and how it engages with society. Although Big Data has promising applications to real-world problems, it is met with warnings and risks–the most severe being risk to individual...

This paper examines Call Detail Records (CDRs) and their expanding role in providing insight into human behavior, movements, and social interactions. As a result of their growing application, certain ethical and legal questions need to be addressed. The paper summarizes...

This paper investigates how the world’s Big Data capacity can be understood in terms of the world’s storage capacity and the telecommunication capacity to access this storage (‘the cloud’). This paper follows the methodology of what has become the standard...

This paper aims to contribute to the ongoing and future debate about the relationships between Big Data, official statistics and development. This paper argues that Big Data needs to be seen as an entirely new ecosystem comprising new data, new...

This paper focuses on the intersection of Big Data and Sustainable Development Goals (SDGs) and the spectrum of ways and channels through which Big Data as an entirely new ecosystem could impact—contribute to or hamper—human progress as called for and...

All agree that eradicating absolute poverty should remain at the forefront of a new goal on poverty, but opinions differ as to what constitutes extreme poverty and how we should measure it. Proposals to broaden the definition of poverty include...

This paper considers Big Data’s potential to partly fill some key data gaps and complement or even replace official statistics. Data-Pop Alliance offers the specific case of Côte d’Ivoire, using Call Records (CDRs) from Orange in conjunction with two other...

This paper discusses the linkages between Big Data and mobility—specifically migration and transportation. Its main objective is to give its readers—World Bank staff, policymakers, researchers, development project managers and other professionals—an overview of the main features and parameters of this...