SBIR/STTR Research Award

SBIR Phase I: Computing-Assisted Zoning Optimization and Service

Award identifier b2ed9548724f124c6ea6b351bd4af29f158985ed966c13c4c3744b6f2bf36d64Awarding agency National Science Foundation

Award amount

$149,067

Program and phase

SBIR · Phase I

Award year

2013

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
ZILLION INFO, LLC
Proposal award date
2013-01-01
Contract end date
2013-12-31
UEI
LU5WUDSMHJX7
Solicitation number
Not reported
Topic code
EI

Research abstract

This Small Business Innovation Research (SBIR) Phase I project is to establish the foundation for developing a computation-assisted redistricting product. Redistricting or zoning is the process of dividing space into districts or zones while optimizing a set of criteria under various spatial constraints. Redistricting is an extremely challenging task that is commonly needed in many real-world problems, such as political/school redistricting, emergency zone design, service management, and business planning. Existing redistricting tools in the commercial market all employ a manual approach, which relies on the user to optimize various criteria in a trial-and-error manner. These manual tools are ineffective and extremely time-consuming to use. This project will build a prototype redistricting product based on a newly developed redistricting optimization algorithm and visual controls, which is much faster and more superior in optimization quality than existing algorithms, and for the first time offers the potential to meet end user requirements in an automated or semi-automated manner. The proposed project will (1) design a flexible architecture to systematically integrate a variety of optimization criteria in the new algorithm to address different needs; (2) significantly improve the computational scalability for handling large data set; and (3) evaluate the prototype product with real-world applications. The broader impact/commercial potential of this project is that it could fundamentally change the way redistricting is performed in practice. Existing automated redistricting methods reported in academia do not meet practical needs, which is the reason that there is no product in the market that employs automated methods. With existing commercial tools, which are based on a manual approach, completing a redistricting task usually requires one or more full-time technicians working for months at a time. With the product being created from this project, even a non-technical user may generate a professional plan within minutes. Potential clients include governments (cities and counties), school districts, consulting firms who provide redistricting services, private businesses that need to optimize service delivery, and even general citizens who are interested in participating in redistricting decision making. The product targets the U.S. and international market, including both public and private sectors.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

2 SBIR/STTR records share this UEI (2013–2014). Reported award amounts total $899,062. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: National Science Foundation

Agency intelligence

National Science Foundation

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