The following grants have been awarded to Department of Statistics faculty, who are serving as principal investigators (PI).
Improving Modern Diagnostics: Detecting and Genotyping of Evolving Viral Pathogens
Principal Investigator (PI): Karin Dorman, Professor
Co-PI: Drs. Mohamed El-Gazzar and Yuko Sato of the ISU Veterinary Diagnostic Laboratory
Inspired by both advances and remaining weaknesses in viral diagnostics unveiled by the COVID pandemic, we are developing sensitive and accurate methods to detect and sequence viral pathogens in clinical samples.
Awarded through National Institute for Health
Development of Online Transfer Learning System for Real-time Decision Making
PI: Jae-kwang Kim, Professor
Awarded through Hyundai Information Technology, Co, LTD
Creating New Methods for Quantifying Uncertainty in Complex Systems
PI: Pulong Ma, Assistant Professor
PI: Li Ma, Professor, Department of Statistics, University of Chicago
Grant aims to develop a suite of Gaussian process based probabilistic models, methods, algorithms, theory, and softwares for effectively addressing several critical challenges in modern applications of Uncertainty Quantification.
Awarded through National Science Foundation Division of Mathematical Sciences
Enhancing Tools for Analyzing Data Across Space and Time
PI: Pulong Ma, Assistant Professor
Grant's aim is to provide theoretical foundations and statistical models for characterizing multivariate and space-time dependencies and performing robust inference for modeling multivariate and space-time processes.
Awarded through National Science Foundation Division of Mathematical Sciences
Resampling Bridges for Complex Data
PI: Dan Nordman, Professor
Partner Grant: Haihan (Mark) Yu, former ISU student (PhD '23) and currently an assistant professor at the University of Rhode Island, received a partner grant.
The project is about developing hybrid methods that can combine strengths and build bridges between philosophically different resampling strategies: namely, bootstrap, subsampling, and empirical likelihood. The intention is to provide improved statistical inference without strong assumptions about data.
This grant award owes much to the ISU Department of Statistics and the External Research Support Team of the College of Liberal Arts and Sciences.
Awarded through National Science Foundation Division of Mathematical Sciences
Understanding the Meat Supply Chain Network: The Impact of Supply Disruptions on Food Insecurity and Nutritional Inequality
PI: Cindy Yu, Professor
Co-PI: David Hennessy, Professor, Department of Economics, Iowa State University
Awarded through National Institute of Food and Agriculture (NIFA), Economics, Markets and Trade (subaward from UW Madison)
U.S. Wheat Crop Quality Sample Collection and Weighting Analysis
PI: Cindy Yu, Professor
Co-PI: Kosuke Morikawa, Assistant Professor
Awarded through U.S. Wheat Associates]
Statistical Support for the BLM Landscape Monitoring Framework
PI: Cindy Yu
Co-PI: Zhengyuan Zhu
Awarded through U.S. Department of the Interior, Bureau of Land Management (BLM)
FUSE: Fast Unbiased Small-area Estimation for Timely Measurement of Community Perceptions of Policing and Public Safety
PI: Zhengyuan Zhu, Professor, Director of the Center for Survey Statistics and Methodology, and Co-Director, ISU Federal Statistics Research Data Center
Co-PI: Berg K. Burgason
Awarded through Department of Justice (DOJ) National Institute of Justice
Statistical and Survey Methods Support for the National Resources Inventory
PI: Zhengyuan Zhu, Professor, Director of the Center for Survey Statistics and Methodology, and Co-Director, ISU Federal Statistics Research Data Center
Co-PI: Jae-Kwang Kim, Cindy Yu, and Emily Berg
Awarded through United States Department of Agriculture (USDA) Natural Resources Conservation Service
UNS: Integrated assessments of urbanization impacts on building energy use for urban energy sustainability
PI: Zhengyuan Zhu, Professor, Director of the Center for Survey Statistics and Methodology, and Co-Director, ISU Federal Statistics Research Data Center
Awarded through National Science Foundation Division of Chemical, Bioengineering, Environmental and Transport Systems
Statistical and survey methods support for the collection and analysis of the in-field agricultural practices data in Illinois crop reporting districts
PI: Zhengyuan Zhu, Professor, Director of the Center for Survey Statistics and Methodology, and Co-Director, ISU Federal Statistics Research Data Center
Awarded through Iowa Nutrient Research and Education Council
Iowa Youth Survey Administration
PI: Zhengyuan Zhu, Professor, Director of the Center for Survey Statistics and Methodology, and Co-Director, ISU Federal Statistics Research Data Center
Awarded through Iowa Department of Health and Human Services