How Togo, a country where few possess a driver's license or national ID card, built a digital platform to rapidly disburse relief payments to millions of people
In two weeks, Togo designed and launched an all-digital system for delivering monthly payments to millions of people—and made the U.S. program look like a “dinosaur.” Tweets: @tfadell , @cbodewig , @tedalcorn , @tori_crandall , @christiegetman , @bw , @snolen , @julienicmcc , @tedalcorn , @karenpeachey100 , @unkyoka , @tedalcorn , @tedalcorn , @amandakhurley , and @tedalcorn Tweets: Tony Fadell / @tfadell : This simply a heartwarming story that fulfils the promise of (good) people with technology we build... In 2 weeks, Togo designed & launched an all-digital system for delivering monthly payments to millions — made the U.S. program look like a “dinosaur” https://www.bloomberg.com/... Christian Bodewig / @cbodewig : I had the chance last week to join Minister @cinalawson in meeting Novissi beneficiaries in Lomé, mostly women. Key take-away: we're at a leapfrog moment in the way social programs can be delivered, leveraging big data and technology Ted Alcorn / @tedalcorn : Cash transfers democratize aid but also concentrate power. In Togo, where a single family has ruled for 50 years and opposition parties boycotted the 2018 election, the program was built on a voter database. Researchers couldn't rule out that it excluded political dissenters. Victoria Crandall / @tori_crandall : This is a fascinating @BW read on Togo's cash transfer stimulus program. The piece touches on salient themes for our times: development's growing irrelevance, the technocratic use of big data, and the ethics of deciding who receives cash... https://www.bloomberg.com/... Christie Getman / @christiegetman : Digital cash for social protection in economic crisis- if they can do it in Togo, we can do it anywhere. Great article describing the ins and outs of the system, how it works, and the future- and necessity- of digital cash. https://www.bloomberg.com/... @bw : In just two weeks, Togo designed and launched an all-digital system for delivering monthly payments to millions of people—and made the U.S. program look like a “dinosaur” https://www.bloomberg.com/... Stephanie Nolen / @snolen : I love this piece on Togo and its brilliant response to the social and economic hardship of the pandemic. “It took government less than 2 weeks to design an all-digital system for delivering monthly payments to about a quarter of the adult population.” https://www.bloomberg.com/... Julie McCarthy / @julienicmcc : How Togo Made All-Digital Government Stimulus System in Two Weeks - “I don't need to know your name to know that you need support...That's revolutionary.” What an incredible feat of will and creativity to reach those most in need. https://www.bloomberg.com/... Ted Alcorn / @tedalcorn : As minister-of-all-things-digital @cinalawson put it to me, “I don't need to know your name to know that you need support. That's revolutionary.” https://twitter.com/... Karen Peachey / @karenpeachey100 : In 2weeks, Togo designed and launched an all-digital system for delivering monthly payments to millions of people. Making cash transfer work at scale. https://www.bloomberg.com/... via @BW Ashoka Mukpo / @unkyoka : Nothing is more bizarre and condescending to me than the aid industry's belief that it's better at spending money than the people who actually need it https://www.bloomberg.com/... https://twitter.com/... Ted Alcorn / @tedalcorn : But the speed and scale of benefits distributed were “mind boggling,” per @CGDev' Anit Mukherjee. And @Ugentilini, who has thought long+hard about this stuff, wondered if it represented “momentum for a new social contract between state and citizens.” https://blogs.worldbank.org/ ... Ted Alcorn / @tedalcorn : Early in the pandemic I set out to learn what governments could do as Covid pushed tens of millions into poverty. I found an answer in Togo, West Africa, which built a vast mobile #cash transfer program in a matter of weeks. My feature in this week's @BW: https://www.bloomberg.com/... Amanda Kolson Hurley / @amandakhurley : Really interesting story about Togo's mobile-payment stimulus program. “It's a strong belief of mine that just because someone is poor doesn't mean he's irresponsible—he's just poor,” Togolese official Cina Lawson said about doing cash transfers. https://www.bloomberg.com/... Ted Alcorn / @tedalcorn : With help from @UCBerkeley researchers Emily Aiken & @jblumenstock, Togo used machine learning, satellite images and cell phone data to identify people in need remotely and (in partnership with @GiveDirectly) sent aid with no in-person contact. https://www.nber.org/... https://twitter.com/...
Context & Ripple Effects
Togo's two-week build is the inversion of the cautionary tale from failed high-tech projects in developing markets: instead of importing systems that outpace local infrastructure, it targeted the one rail nearly everyone has — the mobile phone — and partnered with GiveDirectly and UC Berkeley researchers to identify need via machine learning on satellite imagery and cell data. The precedent is grassroots but real: crowdfunded top-ups to refugees' pay-as-you-go mobile accounts showed years ago that airtime-based transfers reach people no bank or ID registry can.
First-order effects
- Millions of Togolese who hold neither a driver's license nor a national ID card receive monthly relief payments through an entirely digital channel, bypassing the paperwork that stalls conventional aid programs.
- GiveDirectly and the UC Berkeley team behind the targeting models gain a live national-scale deployment of remote-need identification — the kind of proof point that shapes how donors fund future programs.
Second-order effects
- Other governments and aid agencies now have a working template for cash relief without ID infrastructure, shifting procurement conversations toward mobile-data targeting partners like GiveDirectly rather than legacy disbursement vendors.
- The reported reliance on a voter database creates an exclusion problem — dissenters may be screened out — forcing inclusion audits and alternative targeting sources into any government copying this model.
Third-order effects
- State welfare delivery is migrating onto privately held data infrastructure — telecom records, satellite imagery, electoral rolls — which means the politics of who gets counted gets embedded in datasets no ministry fully controls, echoing how refugee-tracking tech was repurposed for pandemic surveillance when crisis demand met available data.
The trend: Governments in low-ID countries are leapfrogging legacy bureaucratic registries by delivering aid through mobile data and machine-learning targeting, trading speed for new questions about who the algorithms exclude.