2024
Privacy-Preserving Visualization of Brain Functional Network Connectivity
Tao Y, Sarwate A, Panta S, Plis S, Calhoun V. Privacy-Preserving Visualization of Brain Functional Network Connectivity. 2024, 00: 1-5. DOI: 10.1109/isbi56570.2024.10635222.Peer-Reviewed Original ResearchDifferential privacyProtecting sensitive informationNon-private counterpartsPre-and post-processingPrivacy-preservingPrivacy guaranteesSensitive informationPrivacy costData visualizationPrivacyBiomedical dataInvestigate several approachesNetwork connectivityPost-processingSeveral approachesVisualizationWorkflowGuaranteesCorrelation valuesTradeoffDataConnectogramsInformation
2022
Online Policies for Efficient Volunteer Crowdsourcing
Manshadi V, Rodilitz S. Online Policies for Efficient Volunteer Crowdsourcing. Management Science 2022, 68: 6572-6590. DOI: 10.1287/mnsc.2021.4220.Peer-Reviewed Original ResearchOnline policyTime-sensitive tasksFood Rescue U.S.Constant factor guaranteeMissed tasksCrowdsourcing platformsRandomized policyBipartite matchingTime-varying distributionFood recovery organizationsTask typeTaskDynamic programmingPlatformUpper boundNotificationSuccess cruciallyMarketing analyticsGabriel WeintraubFeasible solutionsMatch probabilityHardness resultsGuaranteesTradeoffPlatform data
2021
Maximizing the Efficiency of Active Case Finding for SARS-CoV-2 Using Bandit Algorithms
Gonsalves GS, Copple JT, Paltiel AD, Fenichel EP, Bayham J, Abraham M, Kline D, Malloy S, Rayo MF, Zhang N, Faulkner D, Morey DA, Wu F, Thornhill T, Iloglu S, Warren JL. Maximizing the Efficiency of Active Case Finding for SARS-CoV-2 Using Bandit Algorithms. Medical Decision Making 2021, 41: 970-977. PMID: 34120510, PMCID: PMC8484027, DOI: 10.1177/0272989x211021603.Peer-Reviewed Original ResearchConceptsBandit algorithmsMobility dataThompson sampling algorithmWeb appFunctional prototypeTesting resourcesSequential decisionAlgorithmPartial informationSampling algorithmClassic problemDecision scienceSpatial correlationAllocationPoint distanceInformationResourcesDeploymentAppsDecisionsTradeoffHaystackPrototypeObjectsData
2003
The use of multi-criteria decision-making methods in the integrated assessment of climate change: implications for IA practitioners
Bell M, Hobbs B, Ellis H. The use of multi-criteria decision-making methods in the integrated assessment of climate change: implications for IA practitioners. Socio-Economic Planning Sciences 2003, 37: 289-316. DOI: 10.1016/s0038-0121(02)00047-2.Peer-Reviewed Original ResearchValue judgmentsIntegrated assessmentUnderstanding of tradeoffsGreenhouse gas emissionsInterest ratesPolicy tradeoffsHypothetical policyClimate change expertsEnergy policyMCDM methodsGas emissionsUncertainty caseCriteria decision making methodMulti-criteria decision-making methodTypes of impactsPolicyIA practitionersChange expertsClimate changeKey resultsDecision-making methodImpactFuture impactTradeoffImplications
2000
An Evaluation of Multicriteria Decision-Making Methods in Integrated Assessment of Climate Policy
Bell M, Hobbs B, Elliott E, Ellis H, Robinson Z. An Evaluation of Multicriteria Decision-Making Methods in Integrated Assessment of Climate Policy. Lecture Notes In Economics And Mathematical Systems 2000, 487: 228-237. DOI: 10.1007/978-3-642-57311-8_19.Peer-Reviewed Original ResearchClimate change policyAlternative policiesClimate change expertsPolicy alternativesClimate policyChange policyPolicy decisionsPolicy makersMCDM methodsDifferent rankingsMulticriteria decision-making methodPolicyRange of criteriaIA analysisCriteria decision making methodIntegrated assessmentChange expertsDecision-making methodMakersDecision making methodDecisionsRankingUncertaintyGlobal warmingTradeoff
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