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 approaches, we highlight both the positive opportunities and the potential negative consequences that practitioners should be aware of and address … Read More
Opportunities and Requirements for Leveraging Big Data for Official Statistics and the Sustainable Development Goals in Latin America
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 Data y el desarrollo creada conjuntamente por la Iniciativa Humanitaria de Harvard, el MIT Media Lab y el Instituto de … Read More
Book chapter – “The Evaluation of Complex Development Interventions in the Age of Big Data
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, budget, data, and political constraints. Introductory chapters present comprehensive, non-technical overviews of the most common evaluation tools and methodologies, and … Read More
Applications and Implications of Big Data for Demo-Economic Analysis:The Case of Call-Detail Records
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
Group Privacy in the Age of Big Data
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 of such a group privacy right. The challenge faced by group privacy is to enable the positive uses of Big … Read More
AFD Paper – “CDRs & Poverty and Population Analysis – Côte d’Ivoire and Senegal”
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 datasets, the WorldPop dataset, which provides population data derived from satellite imagery, and the recently released 2013 Demographic and Health … Read More