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Minimize RSR Award Detail

Research Spending & Results

Award Detail

Awardee:FIRELINE SCIENCE LLC
Doing Business As Name:FIRELINE SCIENCE LLC
PD/PI:
  • Collin Sellman
  • (720) 350-3667
  • collin@firelinescience.com
Award Date:05/13/2021
Estimated Total Award Amount: $ 255,221
Funds Obligated to Date: $ 255,221
  • FY 2021=$255,221
Start Date:05/15/2021
End Date:04/30/2022
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.041
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:SBIR Phase I: Offline Edge Learning Management System (COVID-19)
Federal Award ID Number:2036344
DUNS ID:117075224
Program:SBIR Phase I
Program Officer:
  • Diane Hickey
  • (703) 292-8875
  • dhickey@nsf.gov

Awardee Location

Street:5501 S COLLEGE AVE
City:TEMPE
State:AZ
ZIP:85283-1815
County:Tempe
Country:US
Awardee Cong. District:09

Primary Place of Performance

Organization Name:FIRELINE SCIENCE LLC
Street:5501 South College Ave
City:Tempe
State:AZ
ZIP:85283-1815
County:Tempe
Country:US
Cong. District:09

Abstract at Time of Award

The broader impact of this Small Business Innovation Research (SBIR) Phase I project will be to provide a solution for the students and schools with an urgent need for a remote learning solution. An estimated 85% of families on rural Native American reservations do not have high-speed internet access. The need for a remote learning solution is especially pressing given the COVID-19 pandemic which is requiring many schools to implement online or hybrid learning models. If students are not able to participate in these new models, it is likely that they will have substantially lower achievement levels than their peers who do have access to remote learning. The proposed project advances a technology to enable online learning without access to high-speed internet. This Small Business Innovation Research (SBIR) Phase I project will advance a new system to support digital learning with lower access to high-speed internet. First, this project will explore edge computing in innovation by building a new learning management system that has intelligent edge nodes capable of providing a complete student learning experience without access to a central server. Second, it will improve pedagogical approaches in this environment, supporting digital learning across limited or no access modalities, including print-to-digital workflows. 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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