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Runnable Environment for Team Effectiveness and Assessment Metrics (re-TEAM)

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911NF-19-P-0011
Agency Tracking Number: A18B-008-0002
Amount: $149,996.28
Phase: Phase I
Program: STTR
Solicitation Topic Code: A18B-T008
Solicitation Number: 18.B
Timeline
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2018-12-14
Award End Date (Contract End Date): 2019-06-13
Small Business Information
709 South Harbor City Blvd., Suite 400
Melbourne, FL 32901
United States
DUNS: 130550262
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 G Mike Gill
 PI, Principal Systems Engineer
 (321) 473-1418
 mgill@modusoperandil.com
Business Contact
 Peter Dyson
Phone: (321) 473-1444
Email: pdyson@modusoperandi.com
Research Institution
 Florida Institute for Human and Machine Cognition (IHMC)
 Diana Thacker Diana Thacker
 
40 S. Alcaniz St.
Pensacola, FL 32502
United States

 (850) 202-4473
 Nonprofit college or university
Abstract

The most critical component of any modern enterprise is effective use of its human resources. The rise of productivity-boosting applications and wearable sensors has provided individual users with data-driven insights into their own effectiveness. Despite these advancements there has not been a corresponding rise in tools for evaluating and improving the effectiveness of teams as a whole. New wearable sensors and analytic capabilities are emerging and producing data streams that largely go unused. To address this need and opportunity, Modus Operandi and the Institute for Human and Machine Cognition propose a Runnable Environment for Team Effectiveness and Assessment Metrics (reTEAM), an extensible platform to leverage untapped data to put the cutting edge in team assessment techniques into the hands of today’s team leaders. reTEAM addresses the challenge of evaluating performance by providing users with feedback at every level of their team. Wearable and social sensor data is aggregated, normalized, and fused into a set of metrics about individuals that can be easily understood and reasoned over. These metrics then feed a study of interpersonal relationships within the team, which in turn feeds further analysis and the generation of team-level insights and diagnostics that drive continuous team performance improvement.

* Information listed above is at the time of submission. *

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