Restricted Research - Award List, Note/Discussion Page
Fiscal Year: 2023
1925 The University of Texas at El Paso (143813)
Principal Investigator: Schuster,Brian Elias
Total Amount of Contract, Award, or Gift (Annual before 2011): $ 99,303
Exceeds $250,000 (Is it flagged?): No
Start and End Dates: 9/1/22 - 8/31/25
Restricted Research: YES
Academic Discipline: Metallurgical & Materials Eng
Department, Center, School, or Institute: Metallurgical & Materials Eng
Title of Contract, Award, or Gift: Collaborative Research: Disciplinary Improvements: Creating a FAIROS Research Coordination Network (MaRCN) in theMaterials Research Data Alliance
Name of Granting or Contracting Agency/Entity:
UNIVERSITY AT BUFFALO
CFDA Link: NSF
47.070
Program Title:
Computer and Information Science and Engineering
CFDA Linked: Computer and Information Science and Engineering
Note:
The main goal of the proposed work is to partner with The University of Buffalo on the research projected titled Collaborative Research: Disciplinary Improvements: Creating a FAIROS Research Coordination Network (MaRCN) in the Materials Research Data Alliance. In this project, UTEP PI will mentor graduate students and will collaborate with our partner institution in realizing the proposed research and education program and in meeting deliverables as described in the proposal submitted to the NSF. Dr. Brian E. Schuster, PI of the Project at UTEP, is an Associate Professor of the Department of Metallurgical, Materials and Biomedical Engineering. Dr. Schuster will be directly responsible for overall project coordination with the University of Buffalo, assuring successful project completion, submission of reports, supervision of students, and work to link materials data with data-intensive methods identified as critical to accelerating materials development. Activities will reach across the materials community with specific activities for underrepresented populations to advance diversity, equity, and inclusion in the field while empowering democratization of science through equitable access to data, models, and infrastructure.
Discussion: No discussion notes