Project Grant 2213639
- This $170,992 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a collaborative research effort led by Brown University to develop AI-based tools for conducting continental-scale archaeological surveys. The key products and services to be delivered under this 3-year award (Aug 2024 - Jul 2027) include: Developing new deep learning models to automatically identify abandoned archaeological structures in...
- This $626,859 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports the development of AI-based tools for continental-scale archaeological surveys. The project aims to leverage high-resolution satellite imagery and machine learning models to map abandoned structures and archaeological features across nearly 2 million square kilometers. This will enable researchers to better understand long-term trends in human...
- This $141,318 National Science Foundation award under the Social, Behavioral, and Economic Sciences program will fund collaborative research to reconstruct the landscape of one of the earliest cities in the United States. The researchers will conduct a high-resolution magnetometry survey covering over 5.5 sq km of the urban landscape, making it the largest such subsurface survey ever performed in the Americas for an archaeological site. This near-total geophysical survey of the subsurface will...
- This $313,226 National Science Foundation project grant will fund collaborative research to reconstruct the landscape of one of the earliest cities in the United States through non-invasive archaeological techniques. The awardee, Colorado State University, will perform high-resolution magnetometry surveys covering over 5.5 square kilometers to map buried archaeological features across the entire urban landscape. This will be the largest such geophysical survey ever conducted in the Americas on...
- This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award of $335,194 supports an archaeological investigation of recently discovered monumental hydraulic features at an important archaeological site. The project aims to establish when these features were constructed, whether they were contemporaneous with other monumental constructions, and the functions they served, such as ritual and aquaculture. The study will involve excavations, soil...
- This Project Grant award from the National Science Foundation (NSF), under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), will support an archaeological investigation focused on understanding the environmental and social strategies that enabled the transition from hunting and gathering to farming in a dense tropical forest context. The $276,441 award to the Dominguez Hills Foundation at California State University, Dominguez Hills, a Hispanic-Serving Institution, will...
- This Project Grant award, provided by the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program, funds a comprehensive archaeological study of early human settlements in rural settings. The research builds on previous work, combining targeted excavations and remote sensing techniques to examine site occupancy during both the height and decline of the local society. The $236,131 award, valid from January 15, 2025 to December 31, 2027, investigates the...
- This $213,247 Project Grant from the National Science Foundation's Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) will fund research to advance understanding of how wear patterns form on stone tools and facilitate identification of worked materials. An interdisciplinary team of archaeologists and engineers will conduct controlled tribological experiments rubbing surrogate and organic materials against stone bits to generate...
- This $206,850 two-year Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program will support archaeological fieldwork and remote sensing research to study the relationship between island size and human population history. Led by Carleton College, the project will conduct systematic surveys and geomorophological studies of 30 uninhabited islands to investigate how island characteristics like size, environment, and location impacted patterns of...
- This two-year, $148,000 National Science Foundation project grant supports modeling of long-term urban and rural settlement dynamics through the Social, Behavioral, and Economic Sciences program (CFDA 47.075). The grant recipient will conduct archaeological and geospatial analyses to develop a predictive rural site distribution model and targeted survey of an urban hinterland in order to refine global urbanism models. Specifically, the recipient will use low-cost aerial and satellite imagery...
This $138,559 National Science Foundation Project Grant supports the development of machine learning methods to automatically detect archaeological features of varying sizes as well as anthropogenic landscape modifications in light detection and ranging (LIDAR) data from tropical regions. Awarded on August 1, 2022 to the University of Nebraska with a completion date of July 31, 2024, this grant falls under the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075). An interdisciplinary team of researchers from multiple universities will apply deep learning techniques to directly analyze three-dimensional LIDAR data in order to overcome current limitations that require manually examining two-dimensional images to identify archaeological sites. The automated detection methods developed through this research aim to enhance understanding of human impacts on tropical ecosystems by more comprehensively documenting built environments and small structures. Beyond archaeology, the machine learning tools are expected to benefit related fields studying small spatial features through more accurate reconstructions. The collaborative project will also create educational opportunities for students in geospatial and computer science.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $138.6k | 7/12/22 |