Award Abstract # 1956114
Collaborative Research: Impacts of Hard/Soft Skills on STEM Workforce Trajectories
| NSF Org: |
DGE
Division Of Graduate Education
|
| Awardee: |
UTAH STATE UNIVERSITY
|
| Initial Amendment Date: |
April 15, 2020 |
| Latest Amendment Date: |
April 22, 2021 |
| Award Number: |
1956114 |
| Award Instrument: |
Continuing Grant |
| Program Manager: |
Earnestine Psalmonds
eeaster@nsf.gov
(703)292-8112
DGE
Division Of Graduate Education
EHR
Direct For Education and Human Resources
|
| Start Date: |
May 1, 2020 |
| End Date: |
April 30, 2025 (Estimated) |
| Total Intended Award Amount: |
$1,476,490.00 |
| Total Awarded Amount to Date: |
$618,568.00 |
| Funds Obligated to Date: |
FY 2020 = $401,716.00
FY 2021 = $216,852.00
|
| History of Investigator: |
-
David
Feldon
(Principal Investigator)
david.feldon@usu.edu
-
Brian
Kim
(Co-Principal Investigator)
-
Christopher
Antoun
(Co-Principal Investigator)
|
| Awardee Sponsored Research Office: |
Utah State University
1000 OLD MAIN HILL
LOGAN
UT
US
84322-1000
(435)797-1226
|
| Sponsor Congressional District: |
01
|
| Primary Place of Performance: |
Utah State University
Logan
UT
US
84322-1415
|
Primary Place of Performance Congressional District: |
01
|
| Unique Entity Identifier (UEI): |
SPE2YDWHDYU4
|
| Parent UEI: |
SPE2YDWHDYU4
|
| NSF Program(s): |
ECR-EHR Core Research
|
| Primary Program Source: |
040106 NSF Education & Human Resource
040106 NSF Education & Human Resource
|
| Program Reference Code(s): |
8816
|
| Program Element Code(s): |
7980
|
| Award Agency Code: |
4900
|
| Fund Agency Code: |
4900
|
| Assistance Listing Number(s): |
47.076
|
ABSTRACT

The study will assess the skills held by individuals at the time of PhD attainment and the measurable impacts that such skills may have on individual career trajectory. Investigators will conduct a longitudinal study that links individual-level data, academic program data, professional attainment data, and employer profile data. These data will enable an empirical assessment of the role that communication, leadership, and management skills play in shaping the career trajectories of PhD recipients across both academic and non-academic employment sectors, while accounting for characteristics of doctoral training environments at the research team level. Findings will inform evidence-based practice for PhD education by providing data that can guide the investment of resources to best prepare doctoral recipients for the workforce.
Theinvestigators will integrate psychological, sociological, and economic lenses to identify key cognitive, experiential, and career translational predictors of scientific contributions and their real-world impacts in line with five research questions. The first line of research entails assessing PhD graduates at the approximate time of degree completion to determine (1) the extent to which they may or may not be proficient in the identified soft skills, (2) the extent to which their reported training in these skills might predict their proficiency, and (3) the extent to which measured proficiency for these skills might predict professional trajectories within or outside the academy. Investigators will link individuals’ assessment performance and experiential training data to the Universities Measuring the Effects of Research on Innovation, Competitiveness and Science (UMETRICS) data set maintained by the Institute for Research on Innovation and Science (IRIS). This data infrastructure will enable the project team to understand the effects of graduate student training and characteristics of soft skills and subsequent career outcomes, generating valuable insights about their entry into academic and non-academic careers.
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.
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