Measurement and Development

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.

Research and Implementation

Harnessing Innovative Data and Technology to Measure Development Effectiveness

In this study DPA in collaboration with Southern Voice and other researchers discuss and show how new kinds of digital data and analytics methods and tools falling under the umbrella term of Big Data, including Artificial Intelligence (AI) systems, can help measure development effectiveness. Selected case studies provide examples of assessments of the effectiveness of ODA-funded policies and programmes.

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

Measuring Development Effectiveness

How has the Monitoring and Evaluation (M&E) of development projects changed in the last decades? Do we see new trends for the coming years? In the age of ‘goals’ and ‘targets’ is there a true agreement on the definition of development effectiveness? Can we leverage Big Data and AI to ensure a shift from “proving” to “improving”? These are some of the questions tackled in our research on how to best measure the impact of development interventions and programs.

Harnessing Big Data and Artificial Intelligence for Development Effectiveness

Blog post

Emmanuel Letouzé, Micol Stock

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

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

"Big Data and Development: an Overview"

Emmanuel Letouzé, in collaboration with and the World Bank Group


Other Publications

"La révolution des données est-elle en marche?"

Implications pour la statistique publique et la démocratie

Thomas Roca, Emmanuel Letouzé