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Crowdsourcing using Intelligent Supervision to address Information Requirements…

Award Information

Agency:
Department of Defense
Branch:
N/A
Award ID:
Program Year/Program:
2013 / SBIR
Agency Tracking Number:
N131-063-0098
Solicitation Year:
2013
Solicitation Topic Code:
N131-063
Solicitation Number:
2013.1
Small Business Information
Charles River Analytics Inc.
625 Mount Auburn Street Cambridge, MA 02138-
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2013
Title: Crowdsourcing using Intelligent Supervision to address Information Requirements in Crisis Situations (CRISIS)
Agency: DOD
Contract: N00014-13-P-1119
Award Amount: $79,956.00
 

Abstract:

Marine Expeditionary Units (MEUs) are often first responders, addressing crises such as natural disasters and regional instability. To adequately respond, they must quickly and accurately analyze large amounts of raw information. Fortunately, through crowdsourcing, there are vast, knowledgeable, and unexploited resources in local and military populations that can address information requirements (IR) and analysis needs. However, Marines need an effective system to use these distributed human processing resources. MapReduce addresses a similar distributed parallel computational processing problem, but not the inherent diversity of human resources. Inspired by MapReduce, we propose to design and demonstrate a system for Crowdsourcing with Intelligent Supervision to address IRs in Crisis Situations (CRISIS). CRISIS provides a crowdsourcing algorithm to employ diversely skilled crowds to address problems for MEUs, focusing on four key components: (1) an evolvable ontology of crowd capabilities to drive human-centered problem partitioning; (2) probabilistic models of crowd skills and preferences to not only identify crowd resources, but understand their capabilities; (3) a market-based optimization system to perform load management and mapping while addressing a scarcity of properly skilled resources to address tasks; and (4) a combination of semantic reasoning and provenance modeling to reduce solutions, identifying consistencies and inconsistencies in the process.

Principal Investigator:

Sean Guarino
Senior Scientist
(617) 491-3474
sguarino@cra.com

Business Contact:

Mark Felix
Contracts Manager
(617) 491-3474
mfelix@cra.com
Small Business Information at Submission:

Charles River Analytics Inc.
625 Mount Auburn Street Cambridge, MA -

EIN/Tax ID: 042803764
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No