This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $899,999.00 to Princeton University to develop new artificial intelligence (AI) technologies that can automatically analyze images of rock cross-sections. The goal is to accelerate scientific discovery and improve reproducibility in geoscience research. The project will address the challenge of limited training data by creating a large volume of labeled synthetic data for rock...
This $711,586 project grant from the National Science Foundation's Geosciences program (CFDA 47.050) will fund research at North Carolina State University to analyze thirty years of foraminiferal assemblages from the Santa Barbara Basin. The grantee will create a record of planktic foraminifera abundances from stored samples collected in the basin and connect the results to modern oceanographic measurements and older seafloor sediments. This will improve understanding of how climate change has...
This $372,195 federal Project Grant, awarded by the National Science Foundation's Geosciences Program (CFDA 47.050), supports a collaborative research project to study the effects of climate change on mammalian functional diversity using a high-resolution fossil record and novel AI workflows. The key products and services to be delivered under this 3-year award, which began on November 1, 2024, include: Generating 3D datasets from micro-CT scans of mammalian fossils to characterize functional...
This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $708,199.00 to the Woods Hole Oceanographic Institution (WHOI) to develop a robust, open-source toolkit for analyzing ichthyoliths (microfossil fish teeth and shark scales) to study fish evolution and ecology. The award will fund the creation of a machine learning-based framework for taxonomic classification of ichthyoliths, which will then be used to investigate fish abundance,...
This $413,487 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of the "SANDPIPER" community toolchain to advance geomorphology research from data acquisition to analysis. The key objectives are to: Design and implement an affordable, open-source hardware-firmware system for geomorphological data acquisition in labs globally. Establish a community-backed data standard to...
This three-year, $153,568 project grant from the National Science Foundation Division of Ocean Sciences, under the Geosciences program (CFDA 47.050), will fund research to establish the molecular biological controls of biomineralization in two model species of single-celled foraminifera. Led by Oregon State University, the project aims to sequence the genomes and transcriptomes of the foraminifera to identify shell matrix proteins responsible for shell formation. Researchers will culture...
This $589,708 Project Grant award from the National Science Foundation's Geosciences program (CFDA 47.050) supports research to advance artificial intelligence (AI) methods for imaging and monitoring the Earth's subsurface. The project aims to develop a multi-task deep learning inversion framework that can simultaneously estimate subsurface velocity structures and earthquake source parameters using passive seismic data. By integrating deep learning with conventional full-waveform inversion...
This Project Grant award of $213,705 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) is supporting the development of an interoperable toolchain called "SANDPIPER" to enable collaborative research in geomorphology, sedimentology, and stratigraphy. The key products and services being delivered through this 4-year award, which runs from August 2024 to July 2028, include: Designing and implementing an affordable...
This $178,059 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will enable the University of Southern California to develop a machine learning-based table extraction tool to help streamline paleoclimate data analysis. The goal is to create an AI-powered Python toolbox that can automatically identify and extract tabular paleoclimate data from unstructured files, reducing the time scientists spend wrangling and annotating these datasets before...
The National Science Foundation Division of Ocean Sciences awarded a $561,018 project grant to the University of South Carolina under the Geosciences program (CFDA 47.050) to conduct collaborative research examining three decades of foraminiferal assemblages in the Santa Barbara Basin. Over the three-year period from July 2022 to June 2025, the University will create a thirty-year record of planktic foraminifera abundances from stored samples collected in the Santa Barbara Basin, California....