{"id":"https://openalex.org/W1964565322","doi":"https://doi.org/10.1145/2623330.2623335","title":"Targeting direct cash transfers to the extremely poor","display_name":"Targeting direct cash transfers to the extremely poor","publication_year":2014,"publication_date":"2014-08-22","ids":{"openalex":"https://openalex.org/W1964565322","doi":"https://doi.org/10.1145/2623330.2623335","mag":"1964565322"},"language":"en","primary_location":{"id":"doi:10.1145/2623330.2623335","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2623330.2623335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066305983","display_name":"Brian Abelson","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Brian Abelson","raw_affiliation_strings":["Enigma, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Enigma, New York, NY, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015286159","display_name":"Kush R. Varshney","orcid":"https://orcid.org/0000-0002-7376-5536"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]},{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kush R. Varshney","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA","[IBM Thomas J. Watson Research Center, Yorktown Heights, NY , USA]"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"[IBM Thomas J. Watson Research Center, Yorktown Heights, NY , USA]","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050189355","display_name":"Joy Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joy Sun","raw_affiliation_strings":["GiveDirectly, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"GiveDirectly, New York, NY, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066305983"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.3113,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.96000507,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1563","last_page":"1572"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13194","display_name":"ICT in Developing Communities","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13194","display_name":"ICT in Developing Communities","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9624999761581421,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6982472538948059},{"id":"https://openalex.org/keywords/poverty","display_name":"Poverty","score":0.6359321475028992},{"id":"https://openalex.org/keywords/proxy","display_name":"Proxy (statistics)","score":0.48728716373443604},{"id":"https://openalex.org/keywords/cash-transfers","display_name":"Cash transfers","score":0.47368955612182617},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.41219207644462585},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3600011169910431},{"id":"https://openalex.org/keywords/cash","display_name":"Cash","score":0.3435552716255188},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.25033801794052124},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23986226320266724},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.1936141848564148},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.14651185274124146}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6982472538948059},{"id":"https://openalex.org/C189326681","wikidata":"https://www.wikidata.org/wiki/Q10294","display_name":"Poverty","level":2,"score":0.6359321475028992},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.48728716373443604},{"id":"https://openalex.org/C2778502840","wikidata":"https://www.wikidata.org/wiki/Q16669466","display_name":"Cash transfers","level":3,"score":0.47368955612182617},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.41219207644462585},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3600011169910431},{"id":"https://openalex.org/C2778083465","wikidata":"https://www.wikidata.org/wiki/Q693464","display_name":"Cash","level":2,"score":0.3435552716255188},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.25033801794052124},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23986226320266724},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.1936141848564148},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.14651185274124146},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2623330.2623335","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2623330.2623335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W154669480","https://openalex.org/W1572255611","https://openalex.org/W1886383946","https://openalex.org/W1911811051","https://openalex.org/W1951820257","https://openalex.org/W2041411104","https://openalex.org/W2045161375","https://openalex.org/W2063587308","https://openalex.org/W2069005704","https://openalex.org/W2139549194","https://openalex.org/W2188649109","https://openalex.org/W2491179239","https://openalex.org/W2735460460","https://openalex.org/W2911964244","https://openalex.org/W2964245082","https://openalex.org/W2996219788","https://openalex.org/W3008223729"],"related_works":["https://openalex.org/W4226058997","https://openalex.org/W2182167313","https://openalex.org/W1575882209","https://openalex.org/W3126017175","https://openalex.org/W2294200370","https://openalex.org/W2147767411","https://openalex.org/W3125349674","https://openalex.org/W3123531786","https://openalex.org/W2989938335","https://openalex.org/W4212943197"],"abstract_inverted_index":{"Unconditional":[0],"cash":[1,98,192],"transfers":[2],"to":[3,15,33,95,141,151],"the":[4,24,45,48,68,148,165,173],"extreme":[5,61],"poor":[6,93],"via":[7],"mobile":[8],"telephony":[9],"represent":[10],"a":[11,19,54,73,79,85,119,138,153,178],"radical,":[12],"new":[13,86],"approach":[14,32,89,196],"giving.":[16],"GiveDirectly":[17],"is":[18],"non-governmental":[20],"organization":[21],"(NGO)":[22],"at":[23,172],"vanguard":[25],"of":[26,47,70,72,113,124,157,167,191],"delivering":[27],"this":[28,37,161],"proven":[29],"and":[30,52,65,109,136,159],"effective":[31],"reducing":[34],"poverty.":[35],"In":[36],"work,":[38],"we":[39,83,176],"streamline":[40],"an":[41,102],"important":[42],"step":[43],"in":[44,63,111,187],"operations":[46],"NGO":[49],"by":[50,117],"developing":[51],"deploying":[53],"data-driven":[55],"system":[56],"for":[57,81,90,97],"locating":[58],"villages":[59,94,184],"with":[60,122,129],"poverty":[62,158],"Kenya":[64],"Uganda.":[66],"Using":[67],"type":[69],"roof":[71],"home,":[74],"thatched":[75],"or":[76],"metal,":[77],"as":[78,132],"proxy":[80],"poverty,":[82],"develop":[84,101,135],"remote":[87],"sensing":[88],"selecting":[91],"extremely":[92],"target":[96],"transfers.":[99,193],"We":[100,134,146],"analytics":[103],"algorithm":[104],"that":[105],"estimates":[106,171],"housing":[107],"quality":[108],"density":[110],"patches":[112],"publicly-available":[114],"satellite":[115],"imagery":[116],"learning":[118],"predictive":[120,149],"model":[121,150],"sieves":[123],"template":[125],"matching":[126],"results":[127],"combined":[128],"color":[130],"histograms":[131],"features.":[133],"deploy":[137,147],"crowdsourcing":[139],"interface":[140],"obtain":[142],"labeled":[143],"training":[144],"data.":[145],"construct":[152],"fine-scale":[154],"heat":[155],"map":[156],"integrate":[160],"discovered":[162],"knowledge":[163],"into":[164],"processes":[166],"GiveDirectly's":[168,188],"operations.":[169],"Aggregating":[170],"village":[174,198],"level,":[175],"produce":[177],"ranked":[179],"list":[180],"from":[181],"which":[182],"top":[183],"are":[185],"included":[186],"planned":[189],"distribution":[190],"The":[194],"automated":[195],"increases":[197],"selection":[199],"efficiency":[200],"significantly.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
