Lancet critique of global estimates

Monitoring country progress and achievements by making global predictions: is the tail wagging the dog? – Ties Boerma, Cesar Victora, Carla Abouzahr We call for a repositioning of the production of global estimates, and the transition from MDGs to SDGs provides an opportunity to do so. Neither country policy makers nor the global development community […]

The Impact of Connectivity in Africa: Grand Visions and the Mirage of Inclusive Digital Development

Our review of the evidence suggests that the Internet and other ICTs have not had any undisputed transformational impact on economic development. Instead, the evidence is inconclusive, and positive impacts appear to be idiosyncratic, contingent and variegated. The available evidence base is also inconclusive with regard to connectivity’s role for inequality, and there is even […]

Big Data – Its Relevance and Impact on Industrial Statistics (UNIDO Working Paper)

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 and IP ownership issues for the data revolution – Questions from Global Policy Watch

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 […]

UNESCO Report on the Data Revolution in Education

The Data Revolution in Education, produced by the Unesco Insitute for Statistics as a background paper for the Education Commission, includes a set of recommendations for producing and disseminating high-quality education statistics for planning and monitoring progress toward education targets. The report calls for changes across three broad areas that address both the supply and […]

Data-Intensive Development Lab

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 […]