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[journal article]

dc.contributor.authorHill, Craig A.de
dc.contributor.authorBiemer, Paul P.de
dc.contributor.authorBuskirk, Trent D.de
dc.contributor.authorCallegaro, Mariode
dc.contributor.authorCórdova Cazar, Ana Lucíade
dc.contributor.authorEck, Adamde
dc.contributor.authorJapec, Lillide
dc.contributor.authorKirchner, Antjede
dc.contributor.authorKolenikov, Stanislavde
dc.contributor.authorLyberg, Larsde
dc.contributor.authorSturgis, Patrickde
dc.date.accessioned2019-05-17T09:49:19Z
dc.date.available2019-05-17T09:49:19Z
dc.date.issued2019de
dc.identifier.issn1864-3361de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/62687
dc.description.abstractHeld in October 2018, The Big Data Meets Survey Science conference, also known as "BigSurv18," provided a first-of-its-kind opportunity for survey researchers, statisticians, computer scientists, and data scientists to convene under the same roof. At this conference, scientists from multiple disciplines were able to exchange ideas about their work might influence and enhance the work of others. This was a landmark event, especially for survey researchers and statisticians, whose industry has been buffeted of late by falling response rates and rising costs at the same time as a proliferation of new tools and techniques, coupled with increasing availability of data, has resulted in "Big Data" approaches to describing and modelling human behavior.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherBig Data; machine learningde
dc.titleExploring New Statistical Frontiers at the Intersection of Survey Science and Big Data: Convergence at "BigSurv18"de
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalSurvey Research Methods
dc.source.volume13de
dc.publisher.countryDEU
dc.source.issue1de
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozUmfrageforschungde
dc.subject.thesozsurvey researchen
dc.subject.thesozamtliche Statistikde
dc.subject.thesozofficial statisticsen
dc.subject.thesozDatengewinnungde
dc.subject.thesozdata captureen
dc.subject.thesozDatenqualitätde
dc.subject.thesozdata qualityen
dc.subject.thesozkünstliche Intelligenzde
dc.subject.thesozartificial intelligenceen
dc.subject.thesozInformatikde
dc.subject.thesozcomputer scienceen
dc.rights.licenceDeposit Licence - Keine Weiterverbreitung, keine Bearbeitungde
dc.rights.licenceDeposit Licence - No Redistribution, No Modificationsen
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10040714
internal.identifier.thesoz10035431
internal.identifier.thesoz10040547
internal.identifier.thesoz10055811
internal.identifier.thesoz10043031
internal.identifier.thesoz10047318
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo123-135de
internal.identifier.classoz10105
internal.identifier.journal674
internal.identifier.document32
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.18148/srm/2019.v1i1.7467de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence3
internal.identifier.pubstatus1
internal.identifier.review1
ssoar.urn.registrationfalsede


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