Measurement and Development for 2030

Data-Pop Alliance has ongoing research and programs around measurement and Sustainable Development. Our work in this field aims to contribute to the international community’s debate on the role of innovative methodologies, including new approaches based on artificial intelligence and Big Data, in ensuring global accountability towards the UN Agenda 2030 for Sustainable Development. Our research is presented in papers, focused discussions and workshops.

Publications

Forthcoming: "Does Data Matter for Development? A Preliminary Look at the Evidence"


Emmanuel Letouzé, Julie Ricard, Micol Stock,
and Rodrigo Lara Molina


Photo by Mika Baumeister on Unsplash

Research and Implementation

Measuring the Unmeasured: Tier 3 SDGs

Developed in partnership with UNDP, this project  seeks to enable governments to identify, collect and use non-classic sources of data to measure SDG Tier III indicators (for which ‘No internationally established methodology or standards are yet available for the indicator, but methodology/standards are being, or will be, developed or tested.’) at a national level and apply the results in policy-making in priority areas.

Human mobility and population density in the Maldives

Together with UNFPA and the National Bureau of Statistics Data-Pop alliance launched a project in the Maldives, a nation of half million people dispersed over more than 1,000 islands, where the last demographic count took place in 2014. The migration rate, both of foreign workers and people moving towards the greater Male’ area, is expected to increase in the coming decades. The main goal of this pilot is to explore new methodologies to produce high quality statistics of these trends in the capital city of Male’, with the possibility to scale to the rest of the country. 

Photo by Ishan @seefromthesky on Unsplash