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Machine learning and phone data can improve targeting of humanitarian aid

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Cited by:

  1. Aysegül Kayaoglu & Ghassan Baliki & Tilman Brück & Melodie Al Daccache & Dorothee Weiffen, 2023. "How to conduct impact evaluations in humanitarian and conflict settings," HiCN Working Papers 387, Households in Conflict Network.
  2. Oeindrila Dube & Joshua Blumenstock & Michael Callen, 2022. "Measuring Religion from Behavior: Climate Shocks and Religious Adherence in Afghanistan," NBER Working Papers 30694, National Bureau of Economic Research, Inc.
  3. Aiken, Emily & Bellue, Suzanne & Blumenstock, Joshua E. & Karlan, Dean & Udry, Christopher, 2025. "Estimating impact with surveys versus digital traces: Evidence from randomized cash transfers in Togo," Journal of Development Economics, Elsevier, vol. 175(C).
  4. Baez, Javier E. & Kshirsagar, Varun & Skoufias, Emmanuel, 2024. "Drought-sensitive targeting and child growth faltering in Southern Africa," World Development, Elsevier, vol. 182(C).
  5. Flores Lanza, Micaela & Leonard, Alycia & Hirmer, Stephanie, 2024. "Geospatial and socioeconomic prediction of value-driven clean cooking uptake," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
  6. Till Koebe & Alejandra Arias-Salazar & Timo Schmid, 2023. "Releasing survey microdata with exact cluster locations and additional privacy safeguards," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
  7. Elena Lutz & Sam Heroy & David Kaufmann & Neave O'Clery, 2025. "A causal evaluation of Bogota's cable car illustrates the transformative potential of mobile phone data for policy analysis," Papers 2506.09311, arXiv.org.
  8. Kibrom A Abay & Nishant Yonzan & Sikandra Kurdi & Kibrom Tafere, 2023. "Revisiting Poverty Trends and the Role of Social Protection Systems in Africa during the COVID-19 Pandemic," Journal of African Economies, Centre for the Study of African Economies, vol. 32(Supplemen), pages 44-68.
  9. Ohlenburg, Tim & Tesliuc, Emil & Okamura, Yuko, 2024. "Scaling up Social Assistance Where Data is Scarce : Opportunities and Limits of Novel Data and AI," Social Protection Discussion Papers and Notes 189993, The World Bank.
  10. Paolo Verme, 2025. "Predicting Poverty," Papers 2505.05958, arXiv.org.
  11. Tao Qi & Fangzhao Wu & Chuhan Wu & Liang He & Yongfeng Huang & Xing Xie, 2023. "Differentially private knowledge transfer for federated learning," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
  12. Emily Aiken & Anik Ashraf & Joshua Blumenstock & Raymond Guiteras & Ahmed Mushfiq Mobarak, 2025. "Scalable Targeting of Social Protection: When Do Algorithms Out-Perform Surveys and Community Knowledge?," NBER Working Papers 33919, National Bureau of Economic Research, Inc.
  13. Corral, Paul & Henderson, Heath & Segovia, Sandra, 2025. "Poverty mapping in the age of machine learning," Journal of Development Economics, Elsevier, vol. 172(C).
  14. Verme, Paolo, 2023. "Predicting Poverty with Missing Incomes," GLO Discussion Paper Series 1260, Global Labor Organization (GLO).
  15. Yuko Okamura & Tim Ohlenburg & Emil Tesliuc, 2024. "Scaling Up Social Assistance Where Data is Scarce - Opportunities and Limits of Novel Data and AI," World Bank Publications - Reports 41553, The World Bank Group.
  16. Isabella S. Smythe & Joshua E. Blumenstock, 2022. "Geographic microtargeting of social assistance with high-resolution poverty maps," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(32), pages 2120025119-, August.
  17. Marcus Buckmann & Quynh Anh Nguyen & Edward Hill, 2025. "Revealing economic facts: LLMs know more than they say," Papers 2505.08662, arXiv.org.
  18. Juan Carlos Perdomo, 2023. "The Relative Value of Prediction in Algorithmic Decision Making," Papers 2312.08511, arXiv.org, revised May 2024.
  19. Beuermann, Diether W. & Hoffmann, Bridget & Stampini, Marco & Vargas, David L. & Vera-Cossio, Diego, 2025. "Shooting a moving target: Evaluating targeting tools for social programs when income fluctuates," Journal of Development Economics, Elsevier, vol. 172(C).
  20. Barriga-Cabanillas, Oscar & Blumenstock, Joshua E. & Lybbert, Travis J. & Putman, Daniel S., 2025. "Probing the limits of mobile phone metadata for poverty prediction and impact evaluation," Journal of Development Economics, Elsevier, vol. 174(C).
  21. Beuermann, Diether & Hoffmann, Bridget & Stampini, Marco & Vargas, David & Vera-Cossio, Diego A., 2024. "Shooting a Moving Target: Choosing Targeting Tools for Social Programs," IDB Publications (Working Papers) 13359, Inter-American Development Bank.
  22. Federico Crippa, 2024. "Regret Analysis in Threshold Policy Design," Papers 2404.11767, arXiv.org, revised Apr 2025.
  23. Corral Rodas,Paul Andres & Henderson,Heath Linn & Segovia Juarez,Sandra Carolina, 2023. "Poverty Mapping in the Age of Machine Learning," Policy Research Working Paper Series 10429, The World Bank.
  24. Chongchong Qi & Tao Hu & Yi Zheng & Mengting Wu & Fiona H. M. Tang & Min Liu & Bintian Zhang & Sybil Derrible & Qiusong Chen & Gongren Hu & Liyuan Chai & Zhang Lin, 2025. "Global and regional patterns of soil metal(loid) mobility and associated risks," Nature Communications, Nature, vol. 16(1), pages 1-11, December.
  25. Fisker,Peter Simonsen & Gallego-Ayala,Jordi Jose & Malmgren Hansen,David & Pave Sohnesen,Thomas & Murrugarra,Edmundo, 2022. "Guiding Social Protection Targeting Through Satellite Data in São Tomé and Príncipe," Social Protection Discussion Papers and Notes 177340, The World Bank.
  26. Stephen O’Connell & Onur Altındağ & and Rim Achour, 2024. "Geographic poverty targeting in social protection programs: Evidence from a nationwide policy experiment," HiCN Working Papers 418, Households in Conflict Network.
  27. Yuko Okamura & Tim Ohlenburg & Emil Tesliuc, 2024. "Scaling up Social Assistance Where Data is Scarce," World Bank Publications - Reports 41548, The World Bank Group.
  28. Rose Camille Vincent & Stephan Dietrich & Kyle McNabb, 2023. "Compliance rates with local and national business taxes: Evidence from Kampala, Uganda," WIDER Working Paper Series wp-2023-134, World Institute for Development Economic Research (UNU-WIDER).
  29. Peter Fisker & Jordi Gallego-Ayala & David Malmgren Hansen & Thomas Pave Sohnesen & Edmundo Murrugarra, 2022. "Guiding Social Protection Targeting Through Satellite Data in São Tomé and Príncipe," World Bank Publications - Reports 38222, The World Bank Group.
  30. Ali Shirali & Ariel Procaccia & Rediet Abebe, 2025. "The Hidden Cost of Waiting for Accurate Predictions," Papers 2503.00650, arXiv.org.
  31. Adel Daoud & Felipe Jordán & Makkunda Sharma & Fredrik Johansson & Devdatt Dubhashi & Sourabh Paul & Subhashis Banerjee, 2023. "Using Satellite Images and Deep Learning to Measure Health and Living Standards in India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 167(1), pages 475-505, June.
  32. Chowdhury, Shyamal & Hasan, Syed & Sharma, Uttam, 2024. "The Role of Trainee Selection in the Effectiveness of Vocational Training: Evidence from a Randomized Controlled Trial in Nepal," IZA Discussion Papers 16705, Institute of Labor Economics (IZA).
  33. Rolando Gonzales Martinez & Mariza Cooray, 2025. "Enhancing Poverty Targeting with Spatial Machine Learning: An application to Indonesia," Papers 2503.04300, arXiv.org.
  34. Newhouse,David Locke, 2023. "Small Area Estimation of Poverty and Wealth Using Geospatial Data : What Have We Learned SoFar ?," Policy Research Working Paper Series 10512, The World Bank.
  35. Aiken, Emily L. & Bedoya, Guadalupe & Blumenstock, Joshua E. & Coville, Aidan, 2023. "Program targeting with machine learning and mobile phone data: Evidence from an anti-poverty intervention in Afghanistan," Journal of Development Economics, Elsevier, vol. 161(C).
  36. Martina Jakob & Sebastian Heinrich, 2023. "Measuring Human Capital with Social Media Data and Machine Learning," University of Bern Social Sciences Working Papers 46, University of Bern, Department of Social Sciences.
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