Taylor, Linnet, Safety in Numbers? Group Privacy and Big Data Analytics in the Developing World (October 6, 2016). in Group Privacy: the Challenges of New Data Technologies, Eds. Taylor, L., van der Sloot, B., Floridi, L. Springer: 2017 . Available at SSRN: https://ssrn.com/abstract=2848825 This chapter argues that group privacy is a necessary element of a […]
Paper by Kumar Sharad and George Danezis at 2013 Privacy Enhancing Technologies Symposium Recent research on de-anonymizing datasets of anonymized personal records has not deterred organizations from releasing personal data, often with ingenuous attempts at defeating de-anonymization. Studying such techniques provides scientific evidence as to why anonymization of high dimensional databases is hard and throws light on what kinds of techniques […]
Several research projects have demonstrated the possibilities Big Data offer to official statistics (UNECE 2016). However, most of the research activities involve satellite images for geospatial use of statistics or mobile phone data to improve tourism and migration statistics. The use of Big Data in an economic sense has not yet been thoroughly investigated and is mostly represented by […]
Big Data Ownership The multi-stakeholder data initiatives claim that they make the data they produce from a host of new sources – like cell phones, satellite imagery, bank accounts – totally open and available to NSOs. In countries that lack the capacity to measure progress through expensive and time-consuming conventional means, such as surveys and […]
FAO has today launched the beta version of a new Water Productivity Open-access of Remotely sensed portal (WaPOR) to monitor and report on agriculture water productivity over Africa and the Near East. It provides open access to the water productivity database and its thousands of underlying map layers, it allows for direct data queries, time series analyses, area […]
The Data-Intensive Development Lab explores how novel sources of data, and new computational algorithms, can promote sustainable global development. Our faculty, students, researchers, and partners bring methodological expertise in machine learning, statistics, and large-scale analytics to address the challenges facing the world’s poor. Research focus: Measuring poverty and vulnerability Financial services for the poor Technology […]