2017

Documento 1: Estado del arte y análisis comparativo de estrategias nacionales de Big Data Document 1: State of affairs and comparative analysis of national Big Data Strategies This study provides an analysis of the main characteristics of the existing government...

This position paper highlights overall takeaways and recommendations in the areas of privacy protection, responsible data governance, transparency and accountability for unleashing big data-driven innovation, including: (1) putting ‘privacy by design’ into action: privacy-preserving technical procedures and standards for data...

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...

Drawing from interviews with global experts, topic workshops and content research, this scoping paper aims to provide the reader with an understanding of algorithmic decision-making processes and the challenges they pose to our existing understanding of accountability across different contexts....

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...