Scaling
Below are all our blog posts with the tag "Scaling"
Webinar: Supporting digital public goods to achieve scale
Digital Public Goods are a fundamental pillar in achieving the Sustainable Development Goals and driving the United Nations (UN) Roadmap for Digital Co-operation. UN Global Pulse has been working to identify
Using digital public goods to help save the lives of mothers and babies
As the COVID-19 pandemic forced healthcare services to ramp up their digital operations to offer remote consultations, cooperation has been crucial. Countries quickly needed to adapt their digital infrastructure to
Adapting to Data-Driven Diplomacy with Machine Learning
Advanced data analytics approaches are now offering digital solutions to transform how foreign ministries carry out diplomacy. Manually analysing large volumes of text from documents to extract meaningful information is
What epidemic modelling can teach us about the spread of disease in refugee settlements
Read our latest scientific paper where we simulate the potential effects of various interventions against the spread of COVID-19.
Expanding the Definition of Scaling Up
The “pilot to scale-up model” is a widely used approach when introducing social interventions or new policies. The premise of the model is very logical — considering there is an
Identifying Potential Positive Deviants (PDs) Across Rice Producing Areas in Indonesia: An Application of Big Data Analytics and Approaches
Approaches to data collection for development programming have commonly relied on official statistical data in combination with surveys to plan, implement and monitor progress and impact for interventions. Today, the
New decade, renewed priorities for UN Global Pulse
It’s been a decade since UN Global Pulse was set up inside the office of the UN Secretary-General to unearth the power of big data and analytics to protect vulnerable
Understanding Population Movement After the 2018 Central Sulawesi Natural Disasters
Through a shared value partnership with mobile telecom Digicel, Pulse Lab Jakarta (PLJ) over the past few years has investigated how pseudonymised mobile network data from subscribers in the Pacific
