grant
LIFE-M 2.0: Data Infrastructure for Understanding the Longitudinal and Intergenerational Determinants of Health and Aging
Organization UNIVERSITY OF CALIFORNIA LOS ANGELESLocation LOS ANGELES, UNITED STATESPosted 1 May 2024Deadline 28 Feb 2029
NIHUS FederalResearch GrantFY20250-11 years old1st World War2nd World WarAddressAgeAgingAlabamaBirthBlackBlack raceCaliforniaCause of DeathCensusesCessation of lifeCharacteristicsChildChild YouthChildren (0-21)CodeCoding SystemCognitiveDataData BasesData SetDatabasesDeathDeath CertificatesDeath RecordsDocumentationEconomicsEducationEducational aspectsElectronicsFamilyFirst World WarGenerationsGeographyGreat WarHealthHealth and Retirement StudyHeterogeneityHouseholdIndividualIndustrializationInfantInfrastructureInstitutionInvestigatorsInvestmentsKentuckyKnowledgeLength of LifeLifeLife CycleLife Cycle StagesLinkLongevityLongitudinal StudiesMarriageMassachusettsMeasuresMediatingMinnesotaMinorityMissionNorth CarolinaOhioOlder PopulationParturitionPersonal SatisfactionPersonsPoliciesPolicy MakingPoliticsPopulationPopulation ProcessPopulation-Level ProcessPublic HealthPublic HospitalsPublic PolicyRecordsResearchResearch InfrastructureResearch PersonnelResearch ResourcesResearch SupportResearchersResourcesRespondentRoleSample SizeSamplingSampling StudiesSecond World WarSocial InsuranceSocial ProcessesSocial SecuritySubgroupSurvey InstrumentSurveysTexasTrainingUniversitiesUrbanizationVermontWarWomanWorkWorld War IWorld War IIagesaging associatedaging relatedcohortcost effectivedata basedata centersdata infrastructuredata qualitydepositoryeconomicelectronicelectronic devicehealth datahealth determinantsimprovedindexingintergenerationalkidslife courselong-term studylongitudinal outcome studiesmachine learning based modelmachine learning modelmortalityolder groupsolder individualsolder personopen sourcepanel study of income dynamicspopulation surveyrepositorysocialsocial rolesocio-demographicssociodemographicswell-beingwellbeingyoungster
Description preview
PROJECT SUMMARY
Some of the most important unanswered questions in health and aging relate to the influence of early life
and intergenerational factors. But documenting the role of these factors is limited by the dearth of longitudinal,
intergenerational microdata containing health information. Our broad research objective is to build an…
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