4 votes How “MobileAid” and machine learning-based targeting can complement existing social protection programs Posted April 28 by skybrian Tags: givedirectly, africa, togo, charities, mobileaid https://medium.com/center-for-effective-global-action/how-precision-aid-and-machine-learning-based-targeting-can-complement-existing-social-protection-de3bc3211fd2 Link information This data is scraped automatically and may be incorrect. Authors The Center for Effective Global Action Published Apr 13 2021 Word count 2439 words 1 comment Collapse replies Expand all Comments sorted by most votes newest first order posted relevance OK skybrian (OP) April 28 Link From GiveDirectly's blog: [...] From GiveDirectly's blog: In this blog, we propose a new paradigm for delivering social protections, which we call MobileAid. This approach combines (1) machine learning-based targeting with (2) recipient self-enrollment and (3) contactless delivery via mobile money. We discuss the lessons learned from deploying MobileAid in Togo, and describe how governments and NGOs can use MobileAid to complement their existing social protection systems. [...] To date, the Government of Togo has been able to use MobileAid to remotely identify, enroll and pay 35,000 individuals living under $1.25 a day in Togo. The approach is now being scaled to pay more than 110,000 individuals with emergency cash transfers.