Skip directly to content

Minimize RSR Award Detail

Research Spending & Results

Award Detail

Awardee:SOUTH DAKOTA SCHOOL OF MINES & TECHNOLOGY
Doing Business As Name:South Dakota School of Mines and Technology
PD/PI:
  • Robb M Winter
  • (605) 394-1237
  • robb.winter@sdsmt.edu
Co-PD(s)/co-PI(s):
  • Matthew W Fields
  • Carol Lushbough
  • Parvathi Chundi
  • Bharat K Jasthi
Award Date:08/09/2019
Estimated Total Award Amount: $ 6,000,000
Funds Obligated to Date: $ 3,000,000
  • FY 2019=$3,000,000
Start Date:08/01/2019
End Date:07/31/2023
Transaction Type: Cooperative Agreements
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.083
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:RII Track-2 FEC: Data Driven Material Discovery Center for Bioengineering Innovation
Federal Award ID Number:1920954
DUNS ID:929928018
Parent DUNS ID:929538999
Program:EPSCoR Research Infrastructure
Program Officer:
  • J.D. Swanson
  • (703) 292-2898
  • jswanson@nsf.gov

Awardee Location

Street:501 East Saint Joseph Street
City:Rapid City
State:SD
ZIP:57701-3995
County:Rapid City
Country:US
Awardee Cong. District:00

Primary Place of Performance

Organization Name:South Dakota School of Mines and Technology
Street:501 East St. Joseph Street
City:Rapid City
State:SD
ZIP:57701-3990
County:Rapid City
Country:US
Cong. District:00

Abstract at Time of Award

Microbes attached to surfaces, commonly known as biofilms, represent multi-million dollar challenges and opportunities in municipal water, marine, manufacturing and oil and gas sectors and a range of other engineering and medical applications. The study of biofilms at the cellular level and the study of materials at the atomic level generate extremely large amounts of rich data. To mine this data and establish connections between biofilm growth and material properties, this Research Infrastructure Improvement Track-2 Focused EPSCoR Collaborations (RII Track-2 FEC) award will form a new collaboration between South Dakota School of Mines and Technology, Montana State University, the University of Nebraska - Omaha and the University of South Dakota to develop Big Data Analytic Tools. This team will develop the Biofilms Data and Information Discovery system (Biofilm-DIDs) to collect and combine these large data sets using artificial intelligence to analyze and predict gene responses and biofilm characteristics influenced by surface properties. By accomplishing this goal the team intends to rapidly accelerate the pace of discovery of new materials to control and leverage biofilm growth. This project will provide education, training and workforce development opportunities for a diverse cohort of junior faculty and post-doctoral researchers and graduate, undergraduate and high-school teachers and students. The primary objective of this project is to develop Big Data Analytic Tools for understanding rules of life in biofilms on technologically relevant materials modified with an emerging class of single-atom thick, two-dimensional (2D) materials. This will be accomplished by developing the Data Driven Material Discovery (DDMD) Center for Bioengineering Innovation, which will coalesce diverse infrastructure in bioscience, computer science, and material science from South Dakota School of Mines & Technology, Montana State University, the University of Nebraska-Omaha and the University of South Dakota to develop the unique Biofilm-DID system. The DDMD Center will focus on the development of novel interdisciplinary approaches and data analytics to track biofilm phenotypes on 2D materials, coupled with -omics analyses of sulfate-reducing biofilm phenotypes to discover rules of biofilm assembly and organization governed by atomic-scale material surface features. The DDMD Center?s areas of research will include: big data mining, machine learning, and predictive modeling; 2D materials for biological applications; and biofilm composition and diversity. The Biofilm-DIDs will be developed, calibrated and validated to provide a scientific platform for interrogating biological mechanisms in response to nano-scale properties. This platform will be leveraged to understand how the substrate crystallographic orientations and point defects in coatings affect gene expression, signaling pathways, metabolites, and structure formation controlling stress resistance, extracellular electron transfer, and biocorrosion mechanisms of biofilms. The DDMD center infrastructure will offer a series of education, training, and workforce development opportunities in data analytics and informatics approaches customized to material and biofilm sciences. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

For specific questions or comments about this information including the NSF Project Outcomes Report, contact us.