Understanding Patterns of Human Mobility At Different Timescales
The main objective of this paper is to discuss whether and how the future of algorithms can be crafted such that their development and
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Algorithmic accountability – Applying the concept to different country contexts
Drawing from interviews with global experts, topic workshops and content research, this scoping paper aims to provide the reader with an understanding of algorithmic
Mining Case Law to Improve Countries’ Accountability To Universal Periodic Review
The United Nations (UN) Universal Periodic Review (UPR) is a process established by the Human Rights Council aiming to monitor and improve the human
The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good
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
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
Beyond Data Literacy: Reinventing Community Engagement and Empowerment in the Age of Data
This paper attempts to delineate the broad contours of “data literacy” through analysis of its history, definition, expectations, application, and promotion. The paper thus
Big Data and Development: An Overview
This paper describes the fundamental nature of Big Data as an ecosystem and how it engages with society. Although Big Data has promising applications
White Paper: The Law, Politics and Ethics of Cell Phone Data Analytics
This paper examines Call Detail Records (CDRs) and their expanding role in providing insight into human behavior, movements, and social interactions. As a result
Official Statistics, Big Data, and Human Development
This paper aims to contribute to the ongoing and future debate about the relationships between Big Data, official statistics and development. This paper argues