This $152,997 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports research at the University of Southern California (USC) on computer-intensive statistical inference methods for high-dimensional and massive datasets. The project aims to develop efficient, scalable, and statistically robust inferential procedures for two classical problems - change point detection/identification and computationally-aware statistical...
The National Science Foundation (NSF) Social, Behavioral, and Economic Sciences program awarded a $214,625 Project Grant to the San Diego State University Research Foundation (SDSURF) to develop new model-based estimators for improving the precision of population parameter estimates in small area survey sampling. The project will create clustered coefficient regression models that can better handle heterogeneous relationships between survey variables and auxiliary data, compared to traditional...
This $349,993 federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will advance the methodology and practical implementation of adaptive experiments. The 3-year project, which begins on September 1, 2024, will develop new statistical methods for sample size calculations and optimal treatment assignment in adaptive settings, establish a comprehensive framework to guide applied researchers in designing adaptive...
This $285,000 federal Project Grant award from the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) will fund research to develop new statistical methods to guide economic and public policy decisions in rapidly changing environments. The research aims to build on recent advances in statistical decision theory, causal inference, and machine learning to create econometric models that can effectively inform evidence-based policymaking while...
The National Science Foundation awarded a $550,781 Project Grant to the University of Southern California under the Engineering federal grant program (CFDA 47.041) to advance disease modeling for healthcare decision making from April 1, 2023 through March 31, 2028. The award will support developing a unified theoretical framework to incorporate individual-level disease simulations and compartmental models, with the goal of optimizing these approaches for single and repeated decision contexts...
The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $200,000 Project Grant to The University Corporation, a non-profit organization located in Northridge, CA. The grant, funded under the NSF's Mathematical and Physical Sciences program (CFDA 47.049), focuses on developing new statistical modeling and data resampling methods to address challenges posed by incomplete, missing, and fragmented observations in large datasets. Key objectives include: Advancing...
This Project Grant award from the National Science Foundation (NSF) under CFDA Program 47.041 - Engineering, provides $525,009 to the University of Southern California (USC) to conduct research on modeling services as interactions between customers and service providers. The project aims to develop stochastic models that capture micro-level details of service interactions, which were previously overlooked in traditional system-level models. This research seeks to identify and solve a new class...
This three-year, $674,542 National Science Foundation project grant supports research at the University of California Santa Cruz to develop Bayesian statistical and machine learning methods for analyzing complex survey data from the federal statistical system. The grant falls under the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075), which promotes basic research and education in these fields. Specifically, the investigators will extend existing models using data...
The National Science Foundation (NSF) awarded a $131,858 Project Grant to The Trustees of Columbia University in the City of New York, Sponsored Projects Administration Division (Columbia University), under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). The grant funds research to develop statistical approaches that improve the external validity of randomized controlled trials (RCTs) in the social sciences. Specifically, the research will make two key methodological...
The National Science Foundation (NSF) awarded a $350,796 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to South Dakota State University (SDSU) to develop statistical methods for detecting and characterizing latent subpopulations within large, complex datasets. The research aims to create flexible, stable, and trustworthy models for "few-shot" or "one-shot" learning problems, where there are only a few examples in each data category. The...