Tippie Children Professor in Business Analytics, Business Analytics

Associate Dean for Research and PhD Programs, Dean's Office

Professor, Business Analytics

Professor, Nursing

Professor, Computer Science

PhD in Computer Science, University of Wisconsin-Madison

MS in Computer Science, DePaul University

BA in Mathematics and Computer Science, Drake University

Data science

Machine learning

Business analytics

Healthcare analytics

INFORMS Society on Data Mining Prize, 2022

Henry B. Tippie Research Professor of Business Analytics, 2014

Dean's Teaching Award - Tippie College of Business, 2012

Nominee, Outstanding Faculty Mentor Award - University of Iowa Graduate College, 2010

Henry B. Tippie Research Fellow - Tippie College of Business, 2002

Master of Business Analytics Instructor of the Year: Core - Tippie College of Business, 2023

American Medical Informatics Association

Association for Computing Machinery

Association for the Advancement of Artificial Intelligence

Institute for Operations Research and the Management Sciences (INFORMS)

Yasar Saglam, S. & Street, W. N. (2018). Distant diversity in dynamic class prediction. Annals of Operations Research. 263 (1-2) pp. 5-19. DOI: 10.1007/s10479-016-2328-8.

Wang, W. & Street, W. Finding Hierarchical Communities in Complex Networks Using Influence-Guided Label Propagation. In Proceedings of IEEE International Conference on Data Mining Workshops 2015. pp. 547-556.

Yasar Saglam, S. & Street, N. Diversity in dynamic class prediction. In Proceedings of INFORMS Workshop on Data Mining and Decision Analytics 2015.

Wang, W., Street, W., & deMatta, R. Topological Resilience Analysis of Supply Networks under Random Disruptions and Targeted Attacks. In Proceedings of IEEE/ACM International Conference on Advances in Social Network Analysis and Mining 2015. pp. 250-257.

Wang, W. & Street, W. (2015). Modeling Influence Diffusion to Uncover Influence Centrality and Community Structure in Social Networks. Social Network Analysis and Mining. 5 (1).

Yasar Saglam, S. & Street, N. Dynamic class prediction with classifier based distance measure. In Proceedings of Australasian Data Mining Conference 2014.

Wang, X., Zhao, K., & Street, N. Predicting user engagement in online health communities based on social support activities. In Proceedings of INFORMS Workshop on Data Mining and Decision Analytics 2014.

Duan, L., Street, N., Liu, Y., Xu, S., & Wu, B. (2014). Selecting the right correlation measure for binary data. ACM Transactions on Knowledge Discovery from Data. 9 (14).

Duan, L., Street, N., Liu, Y., & Lu, H. Community detection in graphs through correlation. In Proceedings of International ACM SIGIR Conference on Research and Development in Information Retrieval 2014.

Gbegnon, A., Monestina, J., Street, N., & Cromwell, J. W. Predicting surgical site infections in real time. In Proceedings of ACM SIGKDD Workshop on Health Informatics 2014.

"Inverse Classification: Better Algorithms for Better Decision Making," Guest/Invited Speaker at Indiana University, Bloomington, Indiana, February 2017.

"Predictive & Prescriptive Analytics for Personalized Health Care Decision Making," Keynote/Plenary Address at University of Iowa, Iowa City, Iowa, February 2017.

"Turning More Data into Better Outcomes: Analytics at the University of Iowa," Guest/Invited Speaker at The Way Up: Developing Women Leaders to Enhance Iowa Higher Education, Coralville, Iowa, November 2016.

"From TIMS/ORSA to Analytics: What We Did, What We’re Doing, and How We Pass It On,," Keynote/Plenary Address at INFORMS Workshop on Data Mining and Decision Analytics, Nashville, Tennessee, November 2016.

"Predictive Analytics for Personalized Health Care Decision Making," Guest/Invited Speaker at GSS Department Seminar, Iowa City, Iowa, February 2016.

"Predicting Surgical Site Infections in Real-Time," Guest/Invited Speaker at INFORMS Healthcare Conference, Nashville, Tennessee, July 2015.

"Predictive Analytics for Personalized Health Care Decision Making," Keynote/Plenary Address at Belgian Conference on Operations Research, Antwerp, Belgium, February 2015.

"A Machine-learning Technique for the Prediction of Equity Price Direction," Guest/Invited Speaker at INFORMS Annual Meeting, San Francisco, California, November 2014.

"Large-scale Correlation Search in Binary Data," Guest/Invited Speaker at University of Iowa, Salt Lake City, Utah, October 2014.

"Large-scale Correlation Search in Binary Data," Guest/Invited Speaker at University of Iowa, Iowa City, Iowa, April 2014.

Street, W, N.. Center for Advancing Mutimorbidity Science (CAMS): Profiling risk and symptom expression to develop customized therapies for adults with multiple chronic conditions. National Institutes of Health (NIH). Funded. September 2018 - August 2023.

Street, W, N. (Co-Principal), Principal Investigator(s): Lu, D. Mining Clinical Data Sets for Nursing Dx, Outcomes and Intervention Links and EBP Validation. University of Iowa. Funded. May 2008 - June 2009.

Street, W, N. (Co-Principal), Principal Investigator(s): McCarthy, A. Predicting Children's Responses to Distraction from Pain: Tailored Interventions. National Institute of Nursing Research (NINR). Funded. August 2007 - May 2011.

Street, W, N. (Co-Principal), Principal Investigator(s): McCarthy, A. Operationalizing and Pilot Testing the Computerized Predictive Model for Distration: Interventions for Needle Sticks in Children. University of Iowa. Funded. May 2007 - August 2007.

Street, W, N. (Site-PI). Data-driven Disease Prevention and Control in Animal Health. National Science Foundation (NSF). Funded. October 2021 - September 2023.

Street, W, N. (Principal Investigator), Principal Investigator(s): Baek, S., Wu, X. ImagiQ: Asynchronous and Decentralized Federated Learning for Medical Imaging. National Science Foundation (NSF). Funded. September 2020 - May 2022.

Street, W, N. (Co-Principal), Principal Investigator(s): Chi, N. Administrative Supplement: Center for Advancing Multimorbidity Science: Profiling risk and symptom expression to develop customized therapies for adults with multiple chronic conditions. National Institutes of Health (NIH). Funded. August 2020 - July 2022.

Henry B. Tippie Research Professor of Business Analytics, Business Analytics, University of Iowa, 2014 - 2022

Referee/Reviewer, Entropy, 2021-22.

Editorial Board Member, INFORMS Journal on Data Science, July 2020.