{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T22:10:10Z","timestamp":1755900610437,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":46,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,7,8]],"date-time":"2024-07-08T00:00:00Z","timestamp":1720396800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,7,8]]},"DOI":"10.1145\/3674829.3675061","type":"proceedings-article","created":{"date-parts":[[2024,8,28]],"date-time":"2024-08-28T18:26:30Z","timestamp":1724869590000},"page":"60-73","update-policy":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Rapid poverty estimation using ready-to-use mobile phone data: An application to C\u00f4te d\u2019Ivoire"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0000-0002-4166-5477","authenticated-orcid":false,"given":"Sveta","family":"Milusheva","sequence":"first","affiliation":[{"name":"World Bank, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0009-0008-0459-1043","authenticated-orcid":false,"given":"Oscar","family":"Barriga-Cabanillas","sequence":"additional","affiliation":[{"name":"World Bank, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0009-0003-9485-6597","authenticated-orcid":false,"given":"Oumaima","family":"Makhlouk","sequence":"additional","affiliation":[{"name":"Intel, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0009-0007-0314-552X","authenticated-orcid":false,"given":"Ruiwen","family":"Zhang","sequence":"additional","affiliation":[{"name":"The World Bank Group, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,8,28]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Machine learning and phone data can improve targeting of humanitarian aid. Nature 603, 7903","author":"Aiken Emily","year":"2022","unstructured":"Emily Aiken, Suzanne Bellue, Dean Karlan, Chris Udry, and Joshua\u00a0E Blumenstock. 2022. Machine learning and phone data can improve targeting of humanitarian aid. Nature 603, 7903 (2022)."},{"key":"e_1_3_2_1_2_1","volume-title":"Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy. arXiv preprint arXiv:2305.01783","author":"Aiken Emily","year":"2023","unstructured":"Emily Aiken, Esther Rolf, and Joshua Blumenstock. 2023. Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy. arXiv preprint arXiv:2305.01783 (2023)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jdeveco.2022.103016"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1257\/aer.102.4.1206"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1093\/wber\/14.1.129"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1093\/wber\/lhz006"},{"key":"e_1_3_2_1_7_1","volume-title":"Predicting poverty and wealth from mobile phone metadata. Science 350, 6264","author":"Blumenstock Joshua","year":"2015","unstructured":"Joshua Blumenstock, Gabriel Cadamuro, and Robert On. 2015. Predicting poverty and wealth from mobile phone metadata. Science 350, 6264 (2015), 1073\u20131076."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.aah5217"},{"volume-title":"A poor means test? Econometric targeting in Africa","author":"Brown Caitlin","key":"e_1_3_2_1_9_1","unstructured":"Caitlin Brown, Martin Ravallion, and Dominique Van\u00a0de Walle. 2016. A poor means test? Econometric targeting in Africa. The World Bank."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.abe8628"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1080\/00220380500405261"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2113658119"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1093\/wbro\/lkh016"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Paul Corral Isabel Molina Alexandru Cojocaru and Sandra Segovia. 2022. Guidelines to Small Area Estimation for Poverty Mapping. (2022).","DOI":"10.1596\/37728"},{"key":"e_1_3_2_1_15_1","volume-title":"On the privacy-conscientious use of mobile phone data. Scientific data 5, 1","author":"de Montjoye Yves-Alexandre","year":"2018","unstructured":"Yves-Alexandre de Montjoye, S\u00e9bastien Gambs, Vincent Blondel, Geoffrey Canright, Nicolas De\u00a0Cordes, S\u00e9bastien Deletaille, Kenth Eng\u00f8-Monsen, Manuel Garcia-Herranz, Jake Kendall, Cameron Kerry, 2018. On the privacy-conscientious use of mobile phone data. Scientific data 5, 1 (2018), 1\u20136."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.3053457"},{"volume-title":"Guidelines for constructing consumption aggregates for welfare analysis. Vol.\u00a0135","author":"Deaton Angus","key":"e_1_3_2_1_17_1","unstructured":"Angus Deaton and Salman Zaidi. 2002. Guidelines for constructing consumption aggregates for welfare analysis. Vol.\u00a0135. World Bank Publications."},{"key":"e_1_3_2_1_18_1","volume-title":"Poverty alleviation through geographic targeting: How much does disaggregation help?Journal of Development Economics 83, 1","author":"Elbers Chris","year":"2007","unstructured":"Chris Elbers, Tomoki Fujii, Peter Lanjouw, Berk \u00d6zler, and Wesley Yin. 2007. Poverty alleviation through geographic targeting: How much does disaggregation help?Journal of Development Economics 83, 1 (2007), 198\u2013213."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1093\/wber\/lhl008"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3220547.3220549"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2160673.2160684"},{"key":"e_1_3_2_1_22_1","volume-title":"The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology. Nature communications 11, 1","author":"Grantz H","year":"2020","unstructured":"Kyra\u00a0H Grantz, Hannah\u00a0R Meredith, Derek\u00a0AT Cummings, C\u00a0Jessica\u00a0E Metcalf, Bryan\u00a0T Grenfell, John\u00a0R Giles, Shruti Mehta, Sunil Solomon, Alain Labrique, Nishant Kishore, 2020. The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology. Nature communications 11, 1 (2020), 4961."},{"key":"e_1_3_2_1_23_1","volume-title":"Evaluating socio-economic state of a country analyzing airtime credit and mobile phone datasets. arXiv preprint arXiv:1309.4496","author":"Gutierrez Thoralf","year":"2013","unstructured":"Thoralf Gutierrez, Gautier Krings, and Vincent\u00a0D Blondel. 2013. Evaluating socio-economic state of a country analyzing airtime credit and mobile phone datasets. arXiv preprint arXiv:1309.4496 (2013)."},{"volume-title":"Estimating poverty using cell phone data: evidence from Guatemala","author":"Hernandez Marco","key":"e_1_3_2_1_24_1","unstructured":"Marco Hernandez, Lingzi Hong, Vanessa Frias-Martinez, and Enrique Frias-Martinez. 2017. Estimating poverty using cell phone data: evidence from Guatemala. The World Bank."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.aaf7894"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.aaf7894"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0241791"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1574-0862.2010.00479.x"},{"key":"e_1_3_2_1_29_1","first-page":"I","article-title":"A Unified Approach to Interpreting Model Predictions","volume":"30","author":"Lundberg M","year":"2017","unstructured":"Scott\u00a0M Lundberg and Su-In Lee. 2017. A Unified Approach to Interpreting Model Predictions. In Advances in Neural Information Processing Systems 30, I.\u00a0Guyon, U.\u00a0V. Luxburg, S.\u00a0Bengio, H.\u00a0Wallach, R.\u00a0Fergus, S.\u00a0Vishwanathan, and R.\u00a0Garnett (Eds.). Curran Associates, Inc., 4765\u20134774. https:\/\/2.zoppoz.workers.dev:443\/http\/papers.nips.cc\/paper\/7062-a-unified-approach-to-interpreting-model-predictions.pdf","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3460112.3471968"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1017\/dap.2021.10"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbusres.2016.08.005"},{"key":"e_1_3_2_1_33_1","volume-title":"How Poor Is Your Sample? A Simple Approach for Estimating the Relative Economic Status of Small and Nonrepresentative Samples. Global Health: Science and Practice 11, 2","author":"Ostermann Jan","year":"2023","unstructured":"Jan Ostermann, Nicole Hair, Volker Grzimek, Siyu Zheng, Wenfeng Gong, Kathryn Whetten, and Nathan Thielman. 2023. How Poor Is Your Sample? A Simple Approach for Estimating the Relative Economic Status of Small and Nonrepresentative Samples. Global Health: Science and Practice 11, 2 (2023)."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1700319114"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi11050275"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi11050293"},{"key":"e_1_3_2_1_37_1","volume-title":"Exploring alternative measures of welfare in the absence of expenditure data. Review of income and wealth 49, 4","author":"Sahn E","year":"2003","unstructured":"David\u00a0E Sahn and David Stifel. 2003. Exploring alternative measures of welfare in the absence of expenditure data. Review of income and wealth 49, 4 (2003), 463\u2013489."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0235224"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0124160"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/2556288.2557358"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2120025119"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1098\/rsif.2016.0690"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","unstructured":"Pezzulo-C. Albert M. et\u00a0al. Steele J.E.2021. Mobility and phone call behavior explain patterns in poverty at high-resolution across multiple settings JO - Humanities and Social Sciences Communications. Humanities and Social Sciences Communications (2021). https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1057\/s41599-021-00953-0","DOI":"10.1057\/s41599-021-00953-0"},{"key":"e_1_3_2_1_44_1","unstructured":"Brian; Elbers Chris; Lanjouw\u00a0Peter Van Der\u00a0Weide Roy;\u00a0Blankespoor. 2022. How Accurate Is a Poverty Map Based on Remote Sensing Data?: An Application to Malawi. (2022)."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1098\/rsif.2012.0986"},{"key":"e_1_3_2_1_46_1","first-page":"51","article-title":"Human mobility and socioeconomic status","volume":"72","author":"Xu Yang","year":"2018","unstructured":"Yang Xu, Alexander Belyi, Iva Bojic, and Carlo Ratti. 2018. Human mobility and socioeconomic status: Analysis of Singapore and Boston. Computers, Environment and Urban Systems 72 (2018), 51\u201367.","journal-title":"Analysis of Singapore and Boston. Computers, Environment and Urban Systems"}],"event":{"name":"COMPASS '24: ACM SIGCAS\/SIGCHI Conference on Computing and Sustainable Societies","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGCAS ACM Special Interest Group on Computers and Society"],"location":"New Delhi India","acronym":"COMPASS '24"},"container-title":["Proceedings of the 7th ACM SIGCAS\/SIGCHI Conference on Computing and Sustainable Societies"],"original-title":[],"link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/dl.acm.org\/doi\/10.1145\/3674829.3675061","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/dl.acm.org\/doi\/pdf\/10.1145\/3674829.3675061","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T21:44:32Z","timestamp":1755899072000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/dl.acm.org\/doi\/10.1145\/3674829.3675061"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,8]]},"references-count":46,"alternative-id":["10.1145\/3674829.3675061","10.1145\/3674829"],"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1145\/3674829.3675061","relation":{},"subject":[],"published":{"date-parts":[[2024,7,8]]},"assertion":[{"value":"2024-08-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}