This National Science Foundation (NSF) CAREER grant under the Biological Sciences (CFDA 47.074) program, awarded to the University of Rochester, seeks to develop a practical approach for controlling and stabilizing microbial communities. The 5-year, $376,301 project will leverage computational modeling and synthetic engineering to design a platform that uses plasmid conjugation to self-regulate microbial population growth and composition. This innovative approach aims to create programmable,...
The National Science Foundation (NSF) Division of Environmental Biology awarded a $100,000 Project Grant under the Biological Sciences program (CFDA 47.074) to the Rochester Institute of Technology (RIT) for the "COLLABORATIVE RESEARCH: IDEAS LAB: SMARTER MICROBIAL OBSERVATORIES FOR REALTIME EXPERIMENTS (SMORES)" project. This three-year project aims to develop a novel seafloor sensor/sampler array and intelligent control systems to better understand how tidal pumping and subsurface...
The National Science Foundation (NSF) awarded a $599,999 Project Grant to the University of Southern California (USC) under the Computer and Information Science and Engineering (CFDA #47.070) federal grant program. The grant supports research and graduate student training focused on modeling, optimization, and analysis of biologically-inspired microbial community networks. Key areas of investigation include understanding the phenomenon of quorum sensing, which enables collective behaviors in...
This National Science Foundation (NSF) Project Grant award, under the Biological Sciences program (CFDA 47.074), provides $240,000 over three years starting on September 1, 2024 to fund a Postdoctoral Research Fellowship in Biology. The research aims to investigate the effects of bioengineered organisms on community assembly and ecosystem functioning in a soil microbial community. The fellow will use genetic engineering to create microbial consortia and study the impacts on community and...
The National Science Foundation awarded a $613,589 Project Grant to the University of Michigan under the Biological Sciences federal grant program (CFDA 47.074) for research titled "COLLABORATIVE RESEARCH: IIBR MULTIDISCIPLINARY: MSAIL (MICHIGAN SMALL ANIMAL INTEGRATED LOGGER): A MILLIGRAM-SCALE, MULTI-MODAL SENSOR AND ANALYTICS MONITORING PLATFORM." The three-year award, made on April 15, 2021 with a completion date of March 31, 2024, will support the development of a milligram-scale,...
This federal Project Grant award from the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) in the amount of $300,000 supports research by Duke University to develop an integrated experimental and computational approach to uncover the design principles governing microbiome function. The key objectives are to apply advanced machine learning techniques, high-throughput microbial community construction, and metabolomics to elucidate the molecular networks and cellular...
The National Science Foundation (NSF) awarded a $174,229 Project Grant under the Computer and Information Science and Engineering (CISE) program to Michigan Technological University. The grant, awarded on October 1, 2023, with a completion date of September 30, 2025, is focused on developing a self-learning neuromorphic robot system that can operate efficiently in resource-constrained environments. The key objectives of this research project are to: 1) create a neuromorphic robot that utilizes...
This five-year, $454,772 project grant from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems will fund foundational research at The University of Akron to develop a new class of biomimetic microrobots for applications in targeted therapeutics, environmental remediation, and microscale cargo delivery. Inspired by collective animal behaviors like schooling fish and flocking birds, the microrobots will utilize off-center repulsive...
This $200,000 Project Grant award from the National Science Foundation's (NSF) Biological Sciences (CFDA 47.074) program supports the development of a Multi-Modality Microbiome Foundation Model (M3FM) - an artificial intelligence model that integrates diverse soil microbiome data sets to provide a more comprehensive framework for understanding soil microbiomes. The project aims to address the challenges of soil metagenomic data sparsity by leveraging large public data sets through...
This National Science Foundation (NSF) Faculty Early Career Development Program (CAREER) award, under the Engineering (CFDA 47.041) program, provides $687,382 in funding to the Massachusetts Institute of Technology (MIT) to conduct research and education focused on developing the next generation of artificial intelligence (AI) for engineering design. The key goals of this 5-year project are to: 1) create deep generative modeling frameworks that learn from the entire evolutionary trajectory of...