The near-ubiquitous use of mobile devices generates mobility data that can paint pictures of urban behavior at unprecedented levels of granularity and complexity. In the current period of intense sociopolitical polarization, mobility data can help reveal which urban spaces serve to attenuate or accentuate socioeconomic divides. If urban spaces served to bridge class divides, people from different socioeconomic groups would … Read More
Reporting and Registering Domestic Violence Against Women and Girls in São Paulo and Bogotá: A Data-Driven Model (English, Spanish)
Most Gender-Based Violence (GBV) goes underreported. Women who decide not to report incidents of domestic violence, or are unable to do so (via calls, legal complaints, or seeking institutional help), may end up without access to support or legal services. Subsequently, available data on this phenomenon can and should be leveraged to combat VAWG. This project aims to contribute to … Read More
Mundos paralelos: Big Data y desigualdad en la Ciudad de México
“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
Women in the gig economy: Paid work, care and flexibility in Kenya and South Africa
This report presents findings from an in-depth study of women’s engagement in the gig economy in Kenya and South Africa, two middle-income countries at the forefront of developments in digitally mediated work in sub-Saharan Africa. It aims to understand the impact of this engagement on workers’ lives, considering the quality of work on offer and its implications for workers’ management … Read More
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 rights situation in each UN member state. In this study, we hypothesize that leveraging text mining and machine-learning algorithms is a viable strategy for monitoring gender discrimination in sentencing practices of Fiji’s judiciary system, which has … Read More