Award Abstract # 1937687
Institute in Critical Quantitative, Computational, and Mixed Methods Training For Underrepresented Scholars

NSF Org: DGE
Division Of Graduate Education
Recipient: WASHINGTON UNIVERSITY, THE
Initial Amendment Date: August 15, 2019
Latest Amendment Date: August 15, 2019
Award Number: 1937687
Award Instrument: Standard Grant
Program Manager: Earnestine Psalmonds
DGE
 Division Of Graduate Education
EDU
 Directorate for STEM Education
Start Date: January 1, 2020
End Date: June 30, 2021 (Estimated)
Total Intended Award Amount: $500,559.00
Total Awarded Amount to Date: $500,559.00
Funds Obligated to Date: FY 2019 = $76,183.00
History of Investigator:
  • Odis Johnson (Principal Investigator)
    ojohns06@jhu.edu
Recipient Sponsored Research Office: Washington University
1 BROOKINGS DR
SAINT LOUIS
MO  US  63130-4862
(314)747-4134
Sponsor Congressional District: 01
Primary Place of Performance: Washington University
MO  US  63130-4899
Primary Place of Performance
Congressional District:
01
Unique Entity Identifier (UEI): L6NFUM28LQM5
Parent UEI:
NSF Program(s): ECR-EDU Core Research
Primary Program Source: 04001920DB NSF Education & Human Resource
Program Reference Code(s): 8055, 8212
Program Element Code(s): 798000
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.076

ABSTRACT

The project is a collaborative effort lead by Washington University and involving Vanderbilt University, and the University of Pennsylvania to establish an Institute in Critical Quantitative, Computational, and Mixed Methods Training for Underrepresented Scholars. It is designed to mitigate the disparities in the number of underrepresented scholars that utilize quantitative and computational research methods and techniques. The goals are to enable participants to incorporate quantitative and computational methods in conceptualizing research projects, establish collaborative networks of quantitative and computational research practitioners, and affirm self-efficacy of underrepresented faculty through culturally relevant, asset-focused training opportunities. The use of critical perspectives in race/ethnicity responds to a need for more underrepresented scholars to practice critical quantitative approaches in research to complement the larger number who practice critical qualitative approaches.

The Institute will provide a continuum of training, individual coaching, and a follow-up proposal development workshop. The project team will conduct an assets assessment of 20 researchers, primarily faculty at minority-serving institutions, recruited to serve as Fellows to establish their baseline needs. The Institute will host a five-day summit to (1) identify possible tensions and transformative practices in using quantitative and computational methods to critically address race and broadening participation in data science and analysis and (2) conduct seminars in data-intensive methods. The curriculum will have a dual focus on core methodological knowledge and specialization and a critical perspective on the use of quantitative and computational methods for research on broadening participation. Topics will include critical theory, research design, fundamentals of quantitative methods, and grant proposal development. The Institute is expected to stimulate more underrepresented researchers to employ quantitative and computational methods in STEM education research.

The project is supported through the EHR Core Research: Building capacity in STEM Education Research (EHR: BCSER) competition that is designed to build individuals' capacity to carry out high quality fundamental STEM education research in STEM learning and learning environments, broadening participation in STEM fields, and STEM workforce development.

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.

Please report errors in award information by writing to: awardsearch@nsf.gov.

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