This National Science Foundation Project Grant of $100,000 supports the development of a programmable closed-loop measurement platform for last-mile networks. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the award brings together researchers from the University of California, Santa Barbara and the University of Chicago from October 1, 2022 to September 30, 2023. The project aims to explore the feasibility of a scalable data collection platform that enables policymakers to assess the quality of access networks. It will integrate the PINOT inference platform developed at UC Santa Barbara with the NETRICS measurement platform developed at the University of Chicago. The University of Chicago will receive $25,000 as a sub-awardee to continue maintenance and expansion of the NETRICS platform, standardize integration of Docker-based network tests, and explore integrating analytics with other datasets. Overall, this collaborative planning project seeks to demonstrate the value of closed-loop data collection and evaluate scaling strategies to empower stakeholders in bridging digital inequities.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $100.0k | 8/10/22 |
Grant Number | Description | Subgrantee | Prime Award | Dollars Obligated (Click to sort descending) | Updated At (Click to sort ascending) |
|---|---|---|---|---|---|
KK2317S | University Of Chicago | Project Grant 2224687 | $50.0k | 1/4/23 |