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Page 1: The Social, Behavioral and Economic Perspective of Big Data …workshops.cs.georgetown.edu/BDPI-2016/slides/NSF/Heng Xu... · 2016-05-03 · The Social, Behavioral and Economic Perspective

TheSocial,BehavioralandEconomicPerspectiveofBigDataResearch

DesigneddataDataoriginatedfromdesignedsources,e.g.:• scientificinstruments,• administrativedata,• large-scalesurveys,• brainresearch,• large-scalesimulations,and

etc.

OrganicdataDataproducedwithoutexplicitdatacollectiondesign,e.g.:• datageneratedbymobile

apps,• ubiquitoussensingapps,• socialinteractionaldatafrom

socialnetworkingsites,twitterfeeds,clickstreams,andetc.

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Page 2: The Social, Behavioral and Economic Perspective of Big Data …workshops.cs.georgetown.edu/BDPI-2016/slides/NSF/Heng Xu... · 2016-05-03 · The Social, Behavioral and Economic Perspective

FY 2014:§ computer science§ info. science § psychology § geo sciences § statistics

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FY 2015:§ computer science§ info. science § psychology § geo sciences § statistics§ economics§ business § sociology§ political science

SBE+BigData

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ResourceImplementationsforDataIntensiveResearchintheSocialBehavioralandEconomicSciences(RIDIR)

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Weencourageandsupportcommunitiestodevelopcapabilitiesdedicatedtothecreationofnew,large-scale,next-generationdataresourcesandrelevantanalytictechniquestoadvancefundamentalSBEresearch.

http://www.nsf.gov/pubs/2015/nsf15523/nsf15523.htm

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FY15SBEBIGDATAAward² 1546259:PopulationReproductionofPovertyatBirthfromSurveys,Censuses,andBirthRegistrationsvPI:MichaelRendall (UMD)&MarkHandcock(UCLA)

vAmount:$1,201,219 vToaggregatebirthinformationfromthedecennialcensus,ACS,CPS,NLSY,PSID,andSIPP,thentoproducelargetimes-serieslife-coursedataaboutpovertyandsocialmobility.

ACS:AmericanCommunitySurveyCPS:Cross-sectional CurrentPopulationSurveyNLSY:NationalLongitudinalSurveyPSID:PanelSurveyofIncomeDynamicsSIPP:SurveyofIncomeandProgramParticipation

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FY14SBEBIGDATAAward² 1447634:IterativeCrowdsourcedHypothesisGenerationvPI:JamesBagrow,UniversityofVermontvTobuildacrowdsourcingwebplatformtousetheknowledgeofinterestednon-experts(Hunch)andthealgorithmicpowerofcomputers(Crunch)todiscoverandtestcausalrelationships.oAlgorithmsidentifypotentialrelationshipsandusersareaskedtovalidatethem.

oUsersareabletoproposetheirownhypothesesthatcansubsequentlybevalidated,creatinganacceleratingfeedbackloopofscientificdiscovery.

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FY15RIDIRAwards

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1539228:LongitudinalIntergenerationalFamilyElectronicMicro-Database(LIFE-M)PI:Bailey,Martha(UniversityofMichigan-AnnArbor)Amount:$2,129,972

1539129:EnablingAccesstoandAnalysisofSharedDaylongChildandFamilyAudioDataPI:Warlaumont,Anne(UniversityofCalifornia– Merced)Amount:$985,439

1539302:ModernizingPoliticalEventDataforBigDataSocialScienceResearchPI:Brandt,PatrickT.(UniversityofTexasatDallas)Amount:$1,497,358


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