Project Grant 2518248
- The federal Project Grant award titled "COLLABORATIVE RESEARCH: PREDICTIVE PROCESSING IN NATURALISTIC LANGUAGE COMPREHENSION THROUGH EEG AND COMPUTATIONAL MODELING" is funded by the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program. The $280,336 award to the Regents of the University of Michigan will support a 3-year research project studying brain signals and computational models to investigate how bilingual individuals comprehend language...
- This three-year project grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $186,479 to Oregon State University to study multilingual speech recognition in the human brain. Researchers will record neural responses from monolingual, bilingual, and trilingual individuals as they listen to speech in languages they understand. They will use tools from computational neuroscience to develop cognitive theories and neural network models...
- The National Science Foundation (NSF) awarded a $250,000 Project Grant under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program to New York University (NYU) for the "Neural Bases of Bilingual Language Production" project. The project aims to study how the brain processes and produces language in bilingual individuals, particularly examining how the brain uses different grammatical rules when speaking multiple languages. The research will involve measuring brain...
- This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program examines the relationship between information structure and syntax across diverse languages. The $237,402 award to The Ohio State University will investigate how context, word order, and emphasis affect language processing and understanding in conversational settings. The research methodology utilizes cognitive data, including eye-tracking, to study how...
- This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) provides $160,000 in funding to support an early career scientist developing a framework for process-level models of human language comprehension. The goal is to bridge the gap between human language behavior and computational models by analyzing incremental language processing behavior, particularly in response to imperfect input, and implementing models to...
- The National Science Foundation Division of Behavioral and Cognitive Sciences awarded a $258,811 Project Grant to the California State University, East Bay Foundation, Inc. to support the study of neuroplasticity of language and cognitive processes in bilingualism and multilingualism. Funded under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), the award will provide funding from September 1, 2021 through August 31, 2024 for the acquisition of electroencephalography...
- This $160,000 Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports an early career scientist's postdoctoral fellowship to use computational models to understand children's language processing development. The project aims to study how quickly children can put words together as they read, designing a web-based task to measure children's word-by-word reading times and using AI language models to analyze how their...
- This $699,977 federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research to investigate the impact of bilingualism on inhibitory control processes and executive function. The project, conducted by Nova Southeastern University, Inc., will use electroencephalography to directly measure brain activity while English-speaking monolinguals and Spanish/English bilinguals perform executive function tasks. The...
- This $234,610 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports collaborative research at Colgate University to study how the brain uses visual and linguistic information to achieve specific goals. The research aims to advance theories of human cognition and develop more adaptive, human-aligned artificial intelligence (AI) systems. Key project activities include training deep neural networks to predict...
- This Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $407,738 to Vanderbilt University to investigate the factors that influence how humans speak and understand language. The project aims to gain a better understanding of how an individual's experience with language, such as reading habits and exposure to different text types, impacts their language processing abilities. Through two main experiments, the research...
This Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $225,482 to the University of Florida to study predictive processing in naturalistic language comprehension through EEG and computational modeling. The project aims to understand how different language backgrounds affect predictions made during language processing, with a focus on proficient second-language comprehension. The researchers will collect EEG data from bilingual participants while they listen to an audiobook story in their first and second languages. Computational models using artificial intelligence will be used to analyze the linguistic features of the story and compare them to the brain activity data, in order to determine which features best capture language predictions for individuals with different language backgrounds. This research offers insights into how AI systems can incorporate multiple languages and increases awareness of bilingual language processing. The project will also provide a large dataset of brain and behavioral data to support further language research and transparency.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $225.5k | 8/15/25 |