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Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science

Author : National Academies of Sciences, Engineering, and Medicine
Publisher :
Page : 120 pages
File Size : 47,7 MB
Release : 2022-02-19
Category :
ISBN : 9780309684934

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The effective use of data science - the science and technology of extracting value from data - improves, enhances, and strengthens acquisition decision-making and outcomes. Using data science to support decision making is not new to the defense acquisition community; its use by the acquisition workforce has enabled acquisition and thus defense successes for decades. Still, more consistent and expanded application of data science will continue improving acquisition outcomes, and doing so requires coordinated efforts across the defense acquisition system and its related communities and stakeholders. Central to that effort is the development, growth, and sustainment of data science capabilities across the acquisition workforce. At the request of the Under Secretary of Defense for Acquisition and Sustainment, Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science assesses how data science can improve acquisition processes and develops a framework for training and educating the defense acquisition workforce to better exploit the application of data science. This report identifies opportunities where data science can improve acquisition processes, the relevant data science skills and capabilities necessary for the acquisition workforce, and relevant models of data science training and education.

Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
Page : 165 pages
File Size : 33,46 MB
Release : 2017-02-06
Category : Mathematics
ISBN : 0309450810

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The Office of the Under Secretary of Defense (Personnel & Readiness), referred to throughout this report as P&R, is responsible for the total force management of all Department of Defense (DoD) components including the recruitment, readiness, and retention of personnel. Its work and policies are supported by a number of organizations both within DoD, including the Defense Manpower Data Center (DMDC), and externally, including the federally funded research and development centers (FFRDCs) that work for DoD. P&R must be able to answer questions for the Secretary of Defense such as how to recruit people with an aptitude for and interest in various specialties and along particular career tracks and how to assess on an ongoing basis service members' career satisfaction and their ability to meet new challenges. P&R must also address larger-scale questions, such as how the current realignment of forces to the Asia-Pacific area and other regions will affect recruitment, readiness, and retention. While DoD makes use of large-scale data and mathematical analysis in intelligence, surveillance, reconnaissance, and elsewhereâ€"exploiting techniques such as complex network analysis, machine learning, streaming social media analysis, and anomaly detectionâ€"these skills and capabilities have not been applied as well to the personnel and readiness enterprise. Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions offers and roadmap and implementation plan for the integration of data analysis in support of decisions within the purview of P&R.

Envisioning the Data Science Discipline

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
Page : 69 pages
File Size : 36,17 MB
Release : 2018-03-05
Category : Education
ISBN : 0309465052

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The need to manage, analyze, and extract knowledge from data is pervasive across industry, government, and academia. Scientists, engineers, and executives routinely encounter enormous volumes of data, and new techniques and tools are emerging to create knowledge out of these data, some of them capable of working with real-time streams of data. The nation's ability to make use of these data depends on the availability of an educated workforce with necessary expertise. With these new capabilities have come novel ethical challenges regarding the effectiveness and appropriateness of broad applications of data analyses. The field of data science has emerged to address the proliferation of data and the need to manage and understand it. Data science is a hybrid of multiple disciplines and skill sets, draws on diverse fields (including computer science, statistics, and mathematics), encompasses topics in ethics and privacy, and depends on specifics of the domains to which it is applied. Fueled by the explosion of data, jobs that involve data science have proliferated and an array of data science programs at the undergraduate and graduate levels have been established. Nevertheless, data science is still in its infancy, which suggests the importance of envisioning what the field might look like in the future and what key steps can be taken now to move data science education in that direction. This study will set forth a vision for the emerging discipline of data science at the undergraduate level. This interim report lays out some of the information and comments that the committee has gathered and heard during the first half of its study, offers perspectives on the current state of data science education, and poses some questions that may shape the way data science education evolves in the future. The study will conclude in early 2018 with a final report that lays out a vision for future data science education.

Defense Acquisition Workforce

Author : John K. Needham
Publisher : DIANE Publishing
Page : 47 pages
File Size : 31,59 MB
Release : 2011-04
Category : Business & Economics
ISBN : 1437942091

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The Pres. has announced his intention to improve the acquisition process, particularly given the half a trillion dollars the fed. gov¿t. spent in FY 2009 on acquiring goods and services. The DoD spent $384 billion in FY 2009 on goods and services -- double what it spent in 2001. A high-quality workforce with the right competencies and skill sets will be critical to improving DoD acquisitions. This report determined the efficacy of DoD¿s certification training for its acquisition workforce. It assessed: (1) DoD¿s capability to provide certification training; (2) the extent that such training reaches members of the workforce; and (3) the extent that previous training recommendations have been implemented. Charts and tables. A print on demand publication.

Data Science for Undergraduates

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
Page : 139 pages
File Size : 21,7 MB
Release : 2018-11-11
Category : Education
ISBN : 0309475597

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Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field.

Analyses of the Department of Defense Acquisition Workforce

Author : Susan M. Gates
Publisher : RAND Corporation
Page : 0 pages
File Size : 14,49 MB
Release : 2013
Category : Business & Economics
ISBN : 9780833080585

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RAND has been providing ongoing analysis of the defense acquisition workforce; this volume documents the methods and data and provides a user's manual for a model for projecting the future workforce supply.

Assessing Department of Defense Use of Data Analytics and Enabling Data Management to Improve Acquisition Outcomes

Author : Philip S. Antón
Publisher :
Page : 125 pages
File Size : 12,49 MB
Release : 2019
Category : Data mining
ISBN :

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"In the conference report accompanying the National Defense Authorization Act for Fiscal Year 2017, Congress expressed concern that the U.S. Department of Defense (DoD) "does not sufficiently incorporate data into its acquisition-related learning and decision-making" and asked six questions about "the use of data analysis, measurement, and other evaluation-related methods in DoD acquisition programs." In this report, the authors decompose and measure acquisition functions, data governance, and training to assess how data and associated analytics support DoD acquisition decision making. The authors found that the DoD is applying a breadth of data analytics to acquisition. Capabilities range from simple data archives and plotting to archives integrated with commercial analytic tools. The DoD has implemented an array of data governance and management practices, but major challenges remain, including a culture against data sharing and concerns about security and oversight burden. Some commercial breakthroughs in advanced analytics sound promising for DoD acquisition, but some might not be applicable; research is ongoing. Advancement should include developing a data analytics strategy across acquisition domains, expanding data governance and data sharing, and continuing to expand and mature data collection, access, and analytic layers. Also, mechanisms are needed to authorize and ensure protected access to data for both the DoD and external analysts. Improved incentives and understanding of data analytics could encourage decision makers to make better use of capabilities" -- Publisher's description.

Defense Acquisition Organizations

Author : U S Government Accountability Office (G
Publisher : BiblioGov
Page : 24 pages
File Size : 22,65 MB
Release : 2013-06
Category :
ISBN : 9781289126032

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GAO discussed issues associated with the acquisition workforce and acquisition process of the Department of Defense (DOD), focusing on: (1) the reasons why reducing infrastructure will be a complex and challenging undertaking; and (2) DOD's plan to reduce and restructure its acquisition workforce. GAO noted that: (1) there is no agreed-upon definition of what constitutes the acquisition workforce; (2) this makes targeting changes and measuring their progress very difficu

Assessing Department of Defense Use of Data Analytics and Enabling Data Management to Improve Acquisition Outcomes

Author : Philip S. Anton
Publisher :
Page : 170 pages
File Size : 33,90 MB
Release : 2021-10-15
Category : Computers
ISBN : 9781977403261

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Congress asked about acquisition data analytics in the Department of Defense. This report identifies and measures capabilities and recent progress. Barriers to improvement include a culture against data sharing due to security and burden concerns.

Analyses of the Department of Defense Acquisition Workforce

Author : Susan M. Gates
Publisher :
Page : pages
File Size : 11,77 MB
Release : 2009
Category :
ISBN :

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The organic defense acquisition workforce consists of military personnel and Department of Defense civilian personnel who provide the management, technical, and business capabilities needed to oversee defense acquisition programs from start to finish. This workforce must itself be managed so that the right numbers of the right personnel are in the right positions at the right time. Since 2006, RAND has been helping develop data-based tools to support analysis of this workforce. This volume updates a 2008 report by documenting revisions to methods, providing descriptive information on the workforce through fiscal year 2011, and providing a user's manual for a model that can help managers project workforce needs through 2021 under different assumptions about the future. The report illustrates the use of the model.