The Mastercard Newsroom spoke to Franco to learn how the Inclusive Growth Score has evolved, how the new report can help leaders better understand the factors that drive equity and what’s next.
NYC Asian Communities Hit Earlier and Harder by COVID-19
NYC Asian Communities Hit Earlier and Harder by COVID-19
A New Analysis of Mastercard Data Finds Uneven Spending Declines in Communities Across the City
It was just one year ago when we first heard of a new coronavirus in Wuhan, China, that was threatening to turn into a pandemic. Just months later it had spread to nearly every corner of the globe, leaving death and economic hardship in its wake.
As we know now, the hardship was not equally shared. Black and Latino communities were disproportionately affected both by illness and loss of employment.
This project will combine Mozambique’s largest digital job platform for informal workers with an AIpowered virtual assistant, and apply algorithms to provide workers with targeted insights into the labor market to improve job opportunities and financial outcomes. Over 54% of Mozambique’s adult workforce is in the informal sector, and information gaps on demand trends mean that opportunities for workers to improve their livelihoods are limited.
GiveDirectly & CEGA - USA, Togo
GiveDirectly and CEGA will demonstrate a new model for rapid assistance where machine learningbased targeting will guide the delivery of digital cash transfers. Data science will enable GiveDirectly to better assess communities who are most in need of cash transfers.