Faculty

Institution

Unit

Venue

Jason Kuruzovich

Associate Professor of Business Analytics

Rensselaer Polytechnic Institute

Affiliations

Lally School of Management

Office for Research

Center for Materials, Devices, and Integrated Systems

Institute for Data Exploration and Applications

School of Science

Information Technology and Web Science

Jason Kuruzovich is currently serving as a Lally School Of Management Associate Professor of Business Analytics at Rensselaer Polytechnic Institute.

Honors

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Experiences

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Education

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Jason Kuruzovich

Rensselaer Polytechnic Institute

Associate Professor of Business Analytics

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business marketing management management information systems consumer behaviour electronic commerce information technology communication digital marketing machine learning consumer research service management interactive marketing information management online customer behavior information technology management algorithmic bias market design organizational behavior organization studies business strategy buying behaviors market behavior electronic auctions market (economics) human resource management behavioral decision making internet economics online information electronic marketplaces remote work online auctions job outcomes system use economic psychology entrepreneurship machine learning research technology management service innovation market mechanisms product-service-software system job satisfaction moderated mediation model decision science human decision process expectation formation experimental decision making cognitive bias mitigation information seeking information search market segmentation sociotechnical systems technology governance governance framework information technology convergence candidate selection selection bias sale research multichannel management marketing management social medium data social medium mining social medium monitoring biomedical data science expectation confirmation auto retailing information needs channel outcomes automotive retailing sector price discrimination online infomediaries on-line auctions strategic exit it governance processes firm governance practices it alignment information systems advanced information system business intelligence information system planning

Notable Scholarly Works

Notable Federal Grants

Collaborators

Introduction to the Minitrack on AI and Digital Discrimination. Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2025)

Sara MoussawiMinoo ModaresnezhadXuefei DengJason Kuruzovich

artificial intelligencecomputer sciencetrustworthy aialgorithmic biasdigital discriminationintelligent computingfairnesscomputational intelligencedata sciencemachine learning

Introduction to the Minitrack on Artificial Intelligence and Digital Discrimination. Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2024)

Sara MoussawiXuefei DengJason Kuruzovich

artificial intelligencecomputer sciencetrustworthy aialgorithmic biasdigital discriminationintelligent computingfairnesscomputational intelligencedata sciencealgorithmic fairnessmachine learning

Whither Bias Goes, I Will Go: An Integrative, Systematic Review of Algorithmic Bias Mitigation.. Journal of Applied Psychology (2024)

Louis HickmanChristopher HuynhJessica GassBrandon BoothJason KuruzovichLouis Tay

bias detectioncomputer sciencehuman resourcesalgorithmic biasmanagement decisionsdisparate impactml assessmentshuman resource managementbiasfairnessalgorithmic fairnessdata sciencemanagementmachine learning

Oversampling Higher-Performing Minorities During Machine Learning Model Training Reduces Adverse Impact Slightly but Also Reduces Model Accuracy. arXiv (Cornell University) (2023)

Hickman, LouisKuruzovich, JasonNg, VincentArhin, KofiWilson, Danielle

algorithmic biasml assessmentsbiasdisparitiesmachine learningml model accuracyfairnessalgorithmic fairnessdata sciencestatistics

Reducing Subgroup Differences in Personnel Selection Through the Application of Machine Learning. Personnel Psychology (2023)

Nan ZhangMo WangHeng XuNick KoenigLouis HickmanJason KuruzovichVincent NgKofi ArhinDanielle WilsonQ. Chelsea SongChen TangLeo AlexanderYesuel Kim

biostatisticsgroup decisioncandidate selectionracial discriminationselection biasalgorithmic biassubgroup differencesbiasmachine learninggender diversityml algorithmsstatistics

Review Moderation Transparency and Online Reviews: Evidence From a Natural Experiment. MIS Quarterly (2023)

Lianlian (Dorothy) JiangT. RavichandranJason Kuruzovich

user feedbackconsumer researchonline customer behaviorinteractive marketingcommunicationreview moderation transparencycustomer reviewssocial influenceonline reviewsdigital marketingjournalismmarketingonline informationreview moderation

Is a Picture Always Worth a 1000 Words? Platform Design Implications of Enabling Image Embedding in Reviews. SSRN Electronic Journal (2022)

Lianlian (Dorothy) JiangJason KuruzovichT. Ravichandran

content analysispicture always worthuser feedbackinteractive marketingsemantic evaluationcommunicationdigital marketingenabling image embeddingcustomer reviewsimage communicationimage embeddingmarketingonline information

Subpopulation Analysis in Causal Inference: A Healthcare Case Study. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2022)

Georgios MavroudeasNafis NeehalJason KuruzovichKristin P. BennettMalik Magdon-Ismail

health policycausal inferencestatistical methodologyrandomized controlled trialsmedical statisticssubpopulation analysishealthcare case studyaverage treatment effecttreatment effectsclinical trialsstatistics

Effects of Visual Cues in Reviews on Review Consumption and Review Contribution. SSRN Electronic Journal (2021)

Lianlian JiangJason KuruzovichT. Ravichandran

visual cuesconsumer behaviouruser experienceimage communicationuser feedbackconsumer researchonline customer behaviormarketing researchuser perceptionreview textinteractive marketingreview consumptioncustomer reviewsdigital marketingjournalismmarketing

Predictive Modeling for Complex Care Management. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2021)

Georgios MavroudeasNafis NeehalXiao ShouMalik Magdon-IsmailJason N. KuruzovichKristin P. Bennett

health policyhealth services researchmedical systemshealth carehealth informaticspredictive analyticspatient managementclinical decision support systemshealth technologyhealth systemscomplex care managementdata sciencehealth care analyticsdigital medicineccm programml workflow

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Jason Kuruzovich

Associate Professor of Business Analytics

Rensselaer Polytechnic Institute

Affiliations

Lally School of Management

Office for Research

Center for Materials, Devices, and Integrated Systems

Institute for Data Exploration and Applications

School of Science

Information Technology and Web Science

Jason Kuruzovich is currently serving as a Lally School Of Management Associate Professor of Business Analytics at Rensselaer Polytechnic Institute.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Jason Kuruzovich

Rensselaer Polytechnic Institute

Associate Professor of Business Analytics

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Sara MoussawiMinoo ModaresnezhadXuefei DengJason Kuruzovich

artificial intelligencecomputer sciencetrustworthy aialgorithmic biasdigital discriminationintelligent computingfairnesscomputational intelligencedata sciencemachine learning

Sara MoussawiXuefei DengJason Kuruzovich

artificial intelligencecomputer sciencetrustworthy aialgorithmic biasdigital discriminationintelligent computingfairnesscomputational intelligencedata sciencealgorithmic fairnessmachine learning

Whither Bias Goes, I Will Go: An Integrative, Systematic Review of Algorithmic Bias Mitigation.. Journal of Applied Psychology (2024)

Louis HickmanChristopher HuynhJessica GassBrandon BoothJason KuruzovichLouis Tay

Oversampling Higher-Performing Minorities During Machine Learning Model Training Reduces Adverse Impact Slightly but Also Reduces Model Accuracy. arXiv (Cornell University) (2023)

Hickman, LouisKuruzovich, JasonNg, VincentArhin, KofiWilson, Danielle

algorithmic biasml assessmentsbiasdisparitiesmachine learningml model accuracyfairnessalgorithmic fairnessdata sciencestatistics

Reducing Subgroup Differences in Personnel Selection Through the Application of Machine Learning. Personnel Psychology (2023)

Nan ZhangMo WangHeng XuNick KoenigLouis HickmanJason KuruzovichVincent NgKofi ArhinDanielle WilsonQ. Chelsea SongChen TangLeo AlexanderYesuel Kim

biostatisticsgroup decisioncandidate selectionracial discriminationselection biasalgorithmic biassubgroup differencesbiasmachine learninggender diversityml algorithmsstatistics

Review Moderation Transparency and Online Reviews: Evidence From a Natural Experiment. MIS Quarterly (2023)

Lianlian (Dorothy) JiangT. RavichandranJason Kuruzovich

Is a Picture Always Worth a 1000 Words? Platform Design Implications of Enabling Image Embedding in Reviews. SSRN Electronic Journal (2022)

Lianlian (Dorothy) JiangJason KuruzovichT. Ravichandran

Subpopulation Analysis in Causal Inference: A Healthcare Case Study. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2022)

Georgios MavroudeasNafis NeehalJason KuruzovichKristin P. BennettMalik Magdon-Ismail

Effects of Visual Cues in Reviews on Review Consumption and Review Contribution. SSRN Electronic Journal (2021)

Lianlian JiangJason KuruzovichT. Ravichandran

Predictive Modeling for Complex Care Management. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2021)

Georgios MavroudeasNafis NeehalXiao ShouMalik Magdon-IsmailJason N. KuruzovichKristin P. Bennett

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