Crowdsourcing defense acquisition programs

MBA Professional Report. Crowdsourcing solutions have the potential to meet the Army's modernization goals. With the rise of improved Internet access and online resources, crowdsourcing has been increasing in popularity since 2006. The benefits of crowdsourcing have been visible in commercial industry and can apply to Department of Defense (DOD) Acquisition Programs. This report identifies the overall use of crowdsourcing, looks at cases in the DOD and in industry, and analyzes strengths and weaknesses. Our findings consist of crowdsourcing strategies that can benefit the DOD and include prize competitions, open dialogue, and open-data collaboration. Integrating the crowd-force with defense contractors through online collaboration platforms can speed up the time required to find solutions and reduce program costs. Barriers include senior-level leaderships' reluctance to change, risks associated with opening up the DOD to crowdsourcing, and the DOD's unwillingness to adapt to new ways of innovation. Recommendations include that Congress pass laws directing the use of open innovation, crowdsourcing, and implementing directives across federal agencies. The best area for the DOD to implement crowdsourcing focuses on design, forecasting, and software. Lessons learned allow for better use of crowdsourcing in new modernization goals and efforts in reducing costs and fielding equipment.http://archive.org/details/crowdsourcingdef1094556900Major, United States ArmyApproved for public release; distribution is unlimited

Practical Wisdom and Big Data Dilemmas: The Case of the Swedish Transport Administration

Using big data in organizations has the potential to improve innovation, accuracy, and efficiency. Big data is also connected with risks for both the organization and society at large. It is therefore important to improve our understanding of potential consequences of implementing and using big data. We studied the Swedish Transport Administration to understand their attitude towards implementing big data for prediction of, for example, the need for road maintenance. The analysis identified four moral dilemmas that the organization deals with in connection to big data. We discuss these dilemmas from the perspective of practical wisdom. Practical wisdom is manifested in context-dependent actions connected to open-mindedness, reflection and judgment. It can be summed up as “the reasonable thing to do” in a unique situation where “not-knowing” is a helpful resource when making wise decisions. This paper seeks to shed light on the importance of practical wisdom when implementing big data

In-Cab Alert System for Commercial Motor Vehicle Drivers

In-cab telematic devices use an increasingly robust data platform and can be used to share safety alerts with other commercial vehicle drivers (CMV) drivers. Real-time alert data can come from state transportation agencies as well as from private companies. To address common quality and coordination issues among differing data sources, the Kentucky Transportation Center (KTC) partnered with the Kentucky Transportation Cabinet (KYTC) and a private vendor, PrePass, to share its App used to send information to CMV drivers. The project demonstrated a proof of concept for the delivery of timely in-cab alerts to warn CMV drivers of approaching roadway hazards. The KTC research team convened a body of experts as a study advisory committee (SAC); surveyed the CMV community for their preferences; coordinated with KYTC, PrePass, and other organizations to develop the pilot study; conducted a proof of concept; and analyzed and assessed the results. Evaluating CMV survey findings and determining study feasibility led the committee to include the data categories of traffic congestion, real-time incidents, and work zones in the pilot study. The study confirmed that safety benefits are realized when transportation agencies share roadway hazard alerts through CMV in-cab devices. Findings reveal an overall need for consistency among DOTS in data collection and how data is processed. Recommendations focused on prioritizing the types of information delivered via in-cab alerts and standardizing the collection and reporting of traffic data