This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Postdoctoral Research Fellowship award in the amount of $160,000 supports a two-year research project examining how children aged 7-12 understand and trust the capabilities of generative AI chatbots. The research involves a mixed-methods study across two phases - an initial experiment to assess children's trust in AI vs. human-provided information and their ability to identify common AI chatbot errors,...
This $160,000 Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant was awarded by the National Science Foundation (NSF) to support a postdoctoral fellowship investigating the neural basis of social influence perception. Under the sponsorship of Drs. Shari Liu, Marina Bedny, and Tianmin Shu at Johns Hopkins University, the fellowship supports an early-career scientist who will use behavioral and neuroimaging methods to examine how the brain processes information about physical...
This National Science Foundation (NSF) Project Grant award, under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program, is funding a research project titled "A Computational Framework for Complex Latent Structures." The $329,937 award, effective July 1, 2025 through June 30, 2028, supports research to understand the psychological processes that allow humans to learn the relationships between individuals in complex social settings. The project aims to develop a...
This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Postdoctoral Fellowship Award provides $160,000 over 2 years to support an early career scientist investigating the neurocognitive processing of dialect variation in grammatical processing. The project, conducted under the sponsorship of Dr. Janet Van Hell at Pennsylvania State University, will use neurocognitive methods such as EEG to study how listeners adjust their expectations of grammar based on...
This Project Grant award for $409,837 was provided by the National Science Foundation (NSF) under their Social, Behavioral, and Economic Sciences (CFDA 47.075) program. The grant is funding research at Dartmouth College to study the cognitive and neural mechanisms underlying how people detect, predict, and regulate others' mental states during everyday social interactions. The 5-year project will use tightly controlled experiments and deep neural network models to provide insights into the...
This two-year, $138,000 Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program will fund research into the development of social cognition in children. Specifically, the grant supports an early career scientist to conduct a large-scale investigation examining how children's understanding of other minds emerges throughout the preschool years. Leveraging recent advances in online developmental science, the fellow will validate an updated mental state...
This $163,588 federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research to characterize how individuals learn about situations and explore how different life experiences influence this process. The project leverages behavioral methods, advanced neuroimaging techniques, and computational modeling to (1) identify the neural and cognitive mechanisms involved in situational and trait learning, and (2)...
This National Science Foundation (NSF) CAREER Program grant, awarded under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program, provides $320,000 in funding to Northeastern University to investigate the neurocognitive development of adolescent learning. The project aims to understand the cognitive and brain mechanisms related to learning from experience and how these change from childhood through adolescence and young adulthood. Using behavioral, computational, and neuroimaging...
This $375,000 federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports the development of statistical methods and computational tools for likelihood-based inference on exponential family graphical models. The research aims to enable statistically efficient and computationally tractable analyses of relationships between multiple variables, such as those encountered in psychometric studies. The project will...
This $276,000 two-year Project Grant from the National Science Foundation's Social, Behavioral and Economic Sciences program will support computational and developmental research into children's self-representations and learning decisions. Specifically, the awardee will build a quantitative computational model integrating children's self-observations and social feedback to explain self-concept development. This model will be tested against adult data and developmental findings. It will also be...