SBIR Phase II: OptDiverse: Innovative Technology to Enhance Workforce Diversity, Capabilities, and Performance

Award Information
Agency:
National Science Foundation
Branch
n/a
Amount:
$439,646.00
Award Year:
2008
Program:
SBIR
Phase:
Phase II
Contract:
0750045
Award Id:
84583
Agency Tracking Number:
0637447
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1919 Seventh Street, Boulder, CO, 80302
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
128005423
Principal Investigator:
FredGlover
PhD
(303) 447-3255
glover@opttek.com
Business Contact:
FredGlover
PhD
(303) 447-3255
glover@opttek.com
Research Institute:
n/a
Abstract
This Small Business Innovation Research (SBIR) Phase II project seeks to refine an algorithmic approach and develop prototype software for workforce optimization with a focus on diversity planning and management. This project is expected to achieve the following four major objectives: 1) further enhance and extend the core technology created during Phase I and endow it with added capabilities that will be valuable for marketability as well as effectiveness; 2) enhance external communications - the software must communicate effectively with the user and database systems. In Phase I, rudimentary communications were established. During Phase II, the system will be greatly enhanced to allow for more effective use; 3) develop software as a service architecture - for greatest market penetration, the software will be deployed via the web. The system architecture will be redesigned to accommodate this requirement; and 4) perform alpha-testing - internal and external testing is critical to releasing a high-quality product. The Phase II research will strengthen the technical aspects of the product while significantly improving its ease of use, producing a system ready to enter the market. The commercial applications anticipated for the software system are to first enhance the performance of workforce diversity planning and then evolve to supporting the optimization of the entire workforce. The technology is expected to have a significant impact on the broader inclusion of under-represented talent in the workforce. We also expect the technology to lead to improved organizational performance by enabling better decisions in recruitment and retention of all employees. The software will permit an organization to model and simulate critical patterns between policies, programs, initiatives, as well as other factors such as practices and compensation. The impacts of this research include the potential to: 1) design a more effective approach (simulation/optimization) to diversity planning and workforce optimization, increase workforce diversity, capabilities, and performance; 2) support a significant social and economic initiative; 3) become appealing to attract investments as it significantly increases return and minimizes risk in diversity and workforce planning; 4) add to the body of knowledge in human resource management and decision sciences that may be leveraged to permit additional research and development.

* information listed above is at the time of submission.

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