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the poorest beneficiaries. The machine learning algorithm First, it finds the poorest villages by analyzing roof material, sizes of farm plots and the presence of paved or unpaved roads through satellite images. Second, it finds the poorest individuals in a village by analyzing their mobile phone data like lengths and frequency of phone calls, number of inbound versus outbound calls, and amount of mobile data used.
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in order to "try to permanently end extreme poverty across dozens of villages and thousands of people in Kenya by guaranteeing them an ongoing income high enough to meet their basic needs" and, if it works, pave the way for implementation in other regions. The initiative launched in November 2017 and
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In Togo it built on an existing government of Togo cash transfer program called Novissi. Money is paid via mobile money technology, with beneficiaries withdrawing money at local shops. GiveDirectly helped expand the program to certain rural areas where the government found it difficult to identify
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In December 2012, GiveDirectly received a $ 2.4M Global Impact Award from Google. In June 2014, the founders of GiveDirectly announced plans to create a for-profit technology company, Segovia, aimed at improving the efficiency of cash transfer distributions in the developing world. In August 2015,
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GiveDirectly set up two emergency response programs to the COVID-19 pandemic: one in the US, for which it has raised US$ 118 million, and one in African countries, for which it has raised US$ 76 million. The organization has sent cash relief to 116,000 families in the US and 342,000 families in
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to themselves, including the very audit teams tasked with identifying such cases. GiveDirectly paused its operations in the country in January 2023 and began an audit of its funds transfers in another African country.
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started by Paul Niehaus, Michael Faye, Rohit Wanchoo, and Jeremy Shapiro, students at MIT and Harvard, based on their research into philanthropy. In 2012 they formalized their operation into GiveDirectly.
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on a rural region in Western Kenya. More than 26,000 people will receive some type of cash transfer, with more than 6,000 receiving a long-term basic income.
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The use of self-reporting made the results hard to interpret and rely on (this is a feature of any study that attempted to measure consumption).
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praised the robustness of the study's design and the clear disclosure of the study lead's conflict of interest, but raised two concerns:
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Lump sum payments: 80 villages with recipients receiving a lump sum payment equivalent to the total value of the short-term stream
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GiveDirectly collects donations from private donors as well as foundations. In 2015, the organization received $ 25 million from
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In 2017, GiveDirectly applied their model for the first time in the U.S., distributing cash-loaded debit cards to residents of
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Long-term basic income: 40 villages with recipients receiving roughly $ 0.75 per adult per day, delivered monthly for 12 years
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The lack of clear positive effect on long-term outcomes, as well as the lack of increased spending on health and education.
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paper on the GiveDirectly experiment found each dollar from cash transfers increased local economic activity by $ 2.6.
723: 481:, where the people being asked questions may be subtly influenced in their answers by the experimenter's expectations. 1065: 959: 1570: 1310: 1245: 1712: 1480: 1676: 1015:"Facebook Billionaire's Good Ventures Donates $ 25 Million To GiveDirectly, Which Gives Cash To The Very Poor" 1460: 1290: 376:
Short-term basic income: 80 villages with recipients receiving the same monthly amount, but only for 2 years
1575: 1500: 1455: 633: 331: 1113: 580: 1726: 1671: 1238: 470: 217: 676: 1442: 1335: 1168: 478: 448: 1778: 1705: 1565: 1450: 1733: 1646: 1631: 1505: 1201: 1535: 1285: 1087: 209: 60: 987: 775:"This man wants to give $ 1,000 to every poor person on Earth – but could his plan really work?" 1761: 1590: 1325: 900: 654: 603: 415: 366: 1039: 1719: 1681: 926: 1345: 702:"What If We Just Gave Poor People a Basic Income for Life? That's What We're About to Test" 8: 1580: 1661: 1621: 1606: 1560: 1525: 1495: 1280: 1261: 955: 494: 1698: 1550: 1545: 1421: 1386: 1361: 1275: 459: 853:"The Pandemic Pushed This Farmer Into Deep Poverty. Then Something Amazing Happened" 1740: 1391: 1381: 1320: 879:"How GiveDirectly is finding the poorest people in the world—and sending them cash" 407: 317: 313: 749:"After Harvey, One Group Is Hoping Giving Away Cash Will Help Houstonians Rebuild" 1510: 1485: 1305: 960:"General equilibrium effects of cash transfers: experimental evidence from Kenya" 213: 71: 1666: 1656: 1641: 1611: 1585: 1530: 1376: 1340: 1295: 1197: 536: 514: 466: 75: 1793: 1636: 1616: 1540: 951: 399: 298: 289: 89: 443:
After the release of GiveDirectly's impact self-evaluation in October 2013,
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The division of the sample into so many groups meant that there was less
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In April 2016 GiveDirectly announced a 12-year experiment to test a
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to them via mobile phone. GiveDirectly transfers funds to people in
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In 2022, GiveDirectly appointed British politician and diplomat
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In April 2016, GiveDirectly announced a $ 30M initiative to test
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operating in low income areas that helps families living in
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Haushofer, Jonathan; Shapiro, Jeremy (October 24, 2013).
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Control group: 100 villages not receiving cash transfers
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Existential risk from artificial general intelligence
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All-Party Parliamentary Group for Future Generations
462:to clearly decide which group had better outcomes. 901:"What Would Happen If We Just Gave People Money?" 1815:Organizations associated with effective altruism 1791: 1134: 1088:"Top charities - November 2012 archived version" 330:In 2023, an investigation revealed that in the 1466:Centre for Enabling EA Learning & Research 1066:"Our Top Charities for the 2012 Giving Season" 798: 647: 548: 546: 435:'top rated' charities for 2012, through 2020. 1755:Superintelligence: Paths, Dangers, Strategies 1246: 1128: 1331:Psychological barriers to effective altruism 1114:"Our Top Charities - September 2020 Version" 543: 1301:Distributional cost-effectiveness analysis 1253: 1239: 601: 360: 1063: 630:"Segovia: A New Player in Cash Transfers" 552: 353:Kenya, Liberia, Malawi, Rwanda and Togo. 297:GiveDirectly received a $ 25M grant from 1476:Centre for the Study of Existential Risk 1196: 1167: 1161: 1556:Machine Intelligence Research Institute 1064:Karnofsky, Holden (November 26, 2012). 627: 1792: 1260: 876: 850: 824: 1810:Foreign charities operating in Uganda 1234: 772: 553:Goldstein, Dana (December 21, 2012). 507: 1805:Foreign charities operating in Kenya 851:Gharib, Malaka (February 15, 2021). 431:GiveDirectly has been named one of 1471:Center for High Impact Philanthropy 877:Visram, Talib (December 11, 2020). 655:"GiveDirectly - August 2014 Update" 529: 439:Reception by development economists 426: 347: 13: 825:Samuel, Sigal (December 1, 2020). 773:Brown, Will (September 18, 2022). 602:Hassenfeld, Elie (June 20, 2014). 402:, a private foundation started by 14: 1826: 1219: 1012: 628:Coleman, Isobel (June 20, 2014). 1800:Charities based in New York City 1311:Equal consideration of interests 27: 1713:Famine, Affluence, and Morality 1481:Development Media International 1190: 1106: 1032: 1006: 980: 919: 893: 870: 844: 818: 799:Harriet Barber (June 9, 2023). 792: 766: 741: 716: 1677:Risk of astronomical suffering 669: 621: 595: 565: 1: 1461:Centre for Effective Altruism 1291:Disability-adjusted life year 1202:"And the cashonistas rejoice" 500: 342: 288:GiveDirectly originated as a 1576:Raising for Effective Giving 1501:Future of Humanity Institute 634:Council on Foreign Relations 632:. Development Channel blog, 471:randomized controlled trials 421: 332:Democratic Republic of Congo 309:is set to run for 12 years. 218:unconditional cash transfers 7: 1727:Living High and Letting Die 1672:Neglected tropical diseases 488: 41:; 16 years ago 10: 1831: 1443:Against Malaria Foundation 1336:Quality-adjusted life year 479:observer-expectancy effect 393: 283: 1779:Effective Altruism Global 1771: 1706:The End of Animal Farming 1690: 1599: 1566:Nuclear Threat Initiative 1451:Animal Charity Evaluators 1430: 1354: 1268: 189: 179: 167: 99: 81: 66: 53: 35: 26: 1734:The Most Good You Can Do 1647:Intensive animal farming 1632:Global catastrophic risk 1506:Future of Life Institute 604:"Update on GiveDirectly" 537:"GiveDirectly team page" 1536:The Good Food Institute 1286:Demandingness objection 704:. Slate. April 14, 2016 361:Basic income experiment 61:non-profit organization 1762:What We Owe the Future 1591:Wild Animal Initiative 1326:Moral circle expansion 1044:Global Innovation Fund 416:Global Innovation Fund 367:universal basic income 306:universal basic income 210:nonprofit organization 16:Nonprofit organization 1720:The Life You Can Save 1682:Wild animal suffering 677:"Blog | GiveDirectly" 386:In November 2019, an 174:Samuel Mwamburi Mwale 1346:Venture philanthropy 1226:GiveDirectly website 1200:(October 25, 2013). 1171:(October 27, 2013). 681:www.givedirectly.org 327:as their president. 1581:Sentience Institute 1149:on October 29, 2013 23: 1662:Malaria prevention 1622:Economic stability 1607:Biotechnology risk 1561:Malaria Consortium 1526:Giving What We Can 1496:Fistula Foundation 1281:Charity assessment 1262:Effective altruism 583:on January 6, 2017 495:Effective altruism 21: 1787: 1786: 1699:Doing Good Better 1571:Open Philanthropy 1551:Mercy for Animals 1546:The Humane League 1422:Eliezer Yudkowsky 1387:William MacAskill 1362:Sam Bankman-Fried 1276:Aid effectiveness 954:; Egger, Dennis; 460:statistical power 203: 202: 169:Interim President 1822: 1741:Practical Ethics 1392:Dustin Moskovitz 1382:Holden Karnofsky 1321:Marginal utility 1255: 1248: 1241: 1232: 1231: 1213: 1212: 1210: 1208: 1194: 1188: 1187: 1185: 1183: 1165: 1159: 1158: 1156: 1154: 1148: 1142:. 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Fast Company 869: 843: 817: 791: 765: 740: 715: 693: 668: 646: 620: 594: 577:www.google.org 564: 542: 528: 517:. 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Index


501(c)(3)
non-profit organization
extreme poverty
cash transfers
New York City
Bahamas
Bangladesh
DRC
Liberia
Kenya
Malawi
Morocco
Mozambique
Nigeria
Rwanda
Togo
Turkey
Uganda
USA
Yemen
Samuel Mwamburi Mwale
givedirectly.org
nonprofit organization
extreme poverty
unconditional cash transfers
Bahamas
Bangladesh
DRC
Liberia

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