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

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Publisher :
ISBN 13 : 9780309684934
Total Pages : 120 pages
Book Rating : 4.35/5 ( download)

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Book Synopsis Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science by : National Academies of Sciences, Engineering, and Medicine

Download or read book Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science written by National Academies of Sciences, Engineering, and Medicine and published by . This book was released on 2022-02-19 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Envisioning the Data Science Discipline

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Publisher : National Academies Press
ISBN 13 : 0309465052
Total Pages : 69 pages
Book Rating : 4.52/5 ( download)

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Book Synopsis Envisioning the Data Science Discipline by : National Academies of Sciences, Engineering, and Medicine

Download or read book Envisioning the Data Science Discipline written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2018-03-05 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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

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Publisher : National Academies Press
ISBN 13 : 0309450810
Total Pages : 165 pages
Book Rating : 4.12/5 ( download)

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Book Synopsis Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions by : National Academies of Sciences, Engineering, and Medicine

Download or read book Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2017-02-06 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Science for Undergraduates

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Publisher : National Academies Press
ISBN 13 : 0309475597
Total Pages : 139 pages
Book Rating : 4.94/5 ( download)

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Book Synopsis Data Science for Undergraduates by : National Academies of Sciences, Engineering, and Medicine

Download or read book Data Science for Undergraduates written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2018-11-11 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results

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Publisher : National Academies Press
ISBN 13 : 0309392020
Total Pages : 133 pages
Book Rating : 4.20/5 ( download)

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Book Synopsis Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results by : National Academies of Sciences, Engineering, and Medicine

Download or read book Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2016-03-29 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: Questions about the reproducibility of scientific research have been raised in numerous settings and have gained visibility through several high-profile journal and popular press articles. Quantitative issues contributing to reproducibility challenges have been considered (including improper data measurement and analysis, inadequate statistical expertise, and incomplete data, among others), but there is no clear consensus on how best to approach or to minimize these problems. A lack of reproducibility of scientific results has created some distrust in scientific findings among the general public, scientists, funding agencies, and industries. While studies fail for a variety of reasons, many factors contribute to the lack of perfect reproducibility, including insufficient training in experimental design, misaligned incentives for publication and the implications for university tenure, intentional manipulation, poor data management and analysis, and inadequate instances of statistical inference. The workshop summarized in this report was designed not to address the social and experimental challenges but instead to focus on the latter issues of improper data management and analysis, inadequate statistical expertise, incomplete data, and difficulties applying sound statistic inference to the available data. Many efforts have emerged over recent years to draw attention to and improve reproducibility of scientific work. This report uniquely focuses on the statistical perspective of three issues: the extent of reproducibility, the causes of reproducibility failures, and the potential remedies for these failures.

Refining the Concept of Scientific Inference When Working with Big Data

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Publisher : National Academies Press
ISBN 13 : 0309454476
Total Pages : 115 pages
Book Rating : 4.76/5 ( download)

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Book Synopsis Refining the Concept of Scientific Inference When Working with Big Data by : National Academies of Sciences, Engineering, and Medicine

Download or read book Refining the Concept of Scientific Inference When Working with Big Data written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2017-02-24 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concept of utilizing big data to enable scientific discovery has generated tremendous excitement and investment from both private and public sectors over the past decade, and expectations continue to grow. Using big data analytics to identify complex patterns hidden inside volumes of data that have never been combined could accelerate the rate of scientific discovery and lead to the development of beneficial technologies and products. However, producing actionable scientific knowledge from such large, complex data sets requires statistical models that produce reliable inferences (NRC, 2013). Without careful consideration of the suitability of both available data and the statistical models applied, analysis of big data may result in misleading correlations and false discoveries, which can potentially undermine confidence in scientific research if the results are not reproducible. In June 2016 the National Academies of Sciences, Engineering, and Medicine convened a workshop to examine critical challenges and opportunities in performing scientific inference reliably when working with big data. Participants explored new methodologic developments that hold significant promise and potential research program areas for the future. This publication summarizes the presentations and discussions from the workshop.

Analyses of the Department of Defense Acquisition Workforce

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Publisher : RAND Corporation
ISBN 13 : 9780833080585
Total Pages : 0 pages
Book Rating : 4.8X/5 ( download)

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Book Synopsis Analyses of the Department of Defense Acquisition Workforce by : Susan M. Gates

Download or read book Analyses of the Department of Defense Acquisition Workforce written by Susan M. Gates and published by RAND Corporation. This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Analyses of the Department of Defense Acquisition Workforce

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ISBN 13 :
Total Pages : pages
Book Rating : 4.78/5 ( download)

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Book Synopsis Analyses of the Department of Defense Acquisition Workforce by : Susan M. Gates

Download or read book Analyses of the Department of Defense Acquisition Workforce written by Susan M. Gates and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Strengthening Forensic Science in the United States

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Publisher : National Academies Press
ISBN 13 : 0309142393
Total Pages : 348 pages
Book Rating : 4.97/5 ( download)

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Book Synopsis Strengthening Forensic Science in the United States by : National Research Council

Download or read book Strengthening Forensic Science in the United States written by National Research Council and published by National Academies Press. This book was released on 2009-07-29 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scores of talented and dedicated people serve the forensic science community, performing vitally important work. However, they are often constrained by lack of adequate resources, sound policies, and national support. It is clear that change and advancements, both systematic and scientific, are needed in a number of forensic science disciplines to ensure the reliability of work, establish enforceable standards, and promote best practices with consistent application. Strengthening Forensic Science in the United States: A Path Forward provides a detailed plan for addressing these needs and suggests the creation of a new government entity, the National Institute of Forensic Science, to establish and enforce standards within the forensic science community. The benefits of improving and regulating the forensic science disciplines are clear: assisting law enforcement officials, enhancing homeland security, and reducing the risk of wrongful conviction and exoneration. Strengthening Forensic Science in the United States gives a full account of what is needed to advance the forensic science disciplines, including upgrading of systems and organizational structures, better training, widespread adoption of uniform and enforceable best practices, and mandatory certification and accreditation programs. While this book provides an essential call-to-action for congress and policy makers, it also serves as a vital tool for law enforcement agencies, criminal prosecutors and attorneys, and forensic science educators.

The Department of Defense Posture for Artificial Intelligence

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Publisher :
ISBN 13 : 9781977404053
Total Pages : 0 pages
Book Rating : 4.57/5 ( download)

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Book Synopsis The Department of Defense Posture for Artificial Intelligence by : Danielle C. Tarraf

Download or read book The Department of Defense Posture for Artificial Intelligence written by Danielle C. Tarraf and published by . This book was released on 2020-01-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this report, the authors assess the state of artificial intelligence (AI) relevant to DoD, conduct an independent assessment of the Department of Defense's posture in AI, and put forth a set of recommendations to enhance that posture.