Analyzing the Effect of Time in Migration Measurement Using Georeferenced Digital Trace Data

Jan 14 2021

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 data to migration research, strategies for taking advantage of their temporal granularity remain largely underdeveloped. In this paper, we provide … Read More

Analyse de mobilité pendant la COVID-19 au Togo

Mar 03 2021

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 qui ont suivi la mise en place de ces mesures. En l’occurrence, l’analyse se concentre sur les données de mobilité … Read More

Policy Paper: Using Data to Fight COVID-19 – And Build Back Better

Nov 11 2020

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 explores how the learnings of the first wave of the pandemic could provide an opportunity to use data more efficiently … Read More

Big Data for Good. Can Big Data Illustrate the Challenges Facing Syrian Refugees in Lebanon?

Dec 01 2020

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. images, videos). Today’s connected world offers alternatives and supplementary non-traditional data sources enabled by Information and Communication Technology (Geographic Information … Read More

Mundos paralelos: Big Data y desigualdad en la Ciudad de México

Aug 31 2020

“Mundos paralelos” es un proyecto desarrollado por Data-Pop Alliance y Oxfam México, cuyo propósito es analizar la desigualdad en la Ciudad de México, utilizando datos de movilidad proporcionados por el programa Data for Good de Cuebiq. Se tomó como estudio de caso la forma en cómo dos sectores socioeconómicos opuestos (los “mundos paralelos”) se apropian de los espacios que conforman la urbe y la posibilidad … Read More

Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle

Oct 22 2020

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 and school and university closures, international and domestic mobility restrictions and physical isolation, and total lockdowns of regions and countries. … Read More

Mobile phone data and COVID-19: Missing an opportunity?

Jan 06 2021

This paper describes how mobile phone data can guide government and public health authorities in determining the best course of action to control the COVID-19 pandemic and in assessing the effectiveness of control measures such as physical distancing. It identifies key gaps and reasons why this kind of data is only scarcely used, although their value in similar epidemics has … Read More

EmpoderaData: Data literacy assessment and Sustainable Development Goals data gaps

Sep 14 2020

EmpoderaData builds upon the success of the Q-Step paid internship programme from the University of Manchester. The project aims to promote a virtuous cycle of social transformation by fostering data literacy. The purpose of this report is threefold: (1) understand the unmet needs in terms of data literacy skills, (2) recognize to what extent might a data literacy capacity building … Read More

Big Data para o bem comum

Sep 14 2020

Desde o início do século XX, a maioria de nossas ações e interações tem sido mediada e capturada por dispositivos eletrônicos. Os rastros de dados deixados pelo caminho resultam no que foi batizado de big data. Embora a exploração do big data tenha sido desenvolvida por gigantes da internet, que transformaram a mineração dessas migalhas digitais em uma de suas … Read More

Book “Guide to Mobile Data Analytics in Refugee Scenarios”

Sep 16 2020

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 research on urgent problems concerning refugees. The database, based on anonymized mobile call detail records (CDRs) of phone calls and … Read More

Data for Refugees: The D4R Challenge on Mobility of Syrian Refugees in Turkey

Sep 16 2020

The Data for Refugees (D4R) Challenge is a non-profit challenge initiated to improve the conditions of the Syrian refugees in Turkey by providing a special database to scientific community for enabling research on urgent problems concerning refugees, including health, education, unemployment, safety, and social integration. The collected database is based on anonymised mobile Call Detail Record (CDR) of phone calls … Read More

Understanding the Relationship Between Short and Long Term Mobility

Sep 16 2020

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 and Senegal, we study population migration and its link to short term movement. We compare the short term mobility estimates extracted … Read More

Applications and Implications of Big Data for Demo-Economic Analysis:The Case of Call-Detail Records

Sep 15 2020

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 and duration of calls, the location of the emitter and receiver, etc. This is done by placing the resulting opportunities … 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

Beyond Data Literacy: Reinventing Community Engagement and Empowerment in the Age of Data

Sep 16 2020

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 data” and argues that promotion of “data literacy” should be via and for social inclusion.

Quantifying the Data Deluge and the Data Drought

Sep 15 2020

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 reference in estimating the world’s technological information capacity: Hilbert and López (2011).

Big Data & SDGs note for Global Sustainable Development Report

Sep 15 2020

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 measured by the SDGs. Applications of Big Data to SDGs have the potential to advocate for causes, shape incentives and … Read More

Big Data and Mobility: Migration and Transportation

Oct 22 2020

This paper (in progress) 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 nexus, as well as provide examples and discuss key considerations—technical, ethical, institutional, etc.—for developing projects, programs and other … Read More