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Assessment of the National Science Foundation's 2015 Geospace Portfolio Review   (SSB)
Released 2017-03-28

At the request of the Advisory Committee for Geosciences of the National Science Foundation (NSF), a review of the Geospace Section of the NSF Division of Atmospheric and Geospace Sciences was undertaken in 2015. The Portfolio Review Committee was charged with reviewing the portfolio of facilities, research programs, and activities funded by Geospace Section and to recommend critical capabilities and the balance of investments needed to enable the science program articulated in the 2013 NRC decadal survey Solar and Space Physics: A Science for a Technological Society. The Portfolio Review Committee's report Investments in Critical Capabilities for Geospace Science 2016 to 2025 (ICCGS) was accepted by the Advisory Committee for Geosciences in April 2016. Assessment of the National Science Foundation's 2015 Geospace Portfolio Review provides an independent assessment of the ICCGS report. This publication assesses how well the ICCGS provides a clear set of findings, conclusions, and recommendations for Geospace Section that align with the science priorities of the NRC decadal survey, and adequately take into account issues such as the current budget outlook and the science needs of the community. Additionally, this study makes recommendations focused on options and considerations for NSF's implementation of the ICCGS recommendations.

Information Technology and the U.S. Workforce: Where Are We and Where Do We Go from Here?   (CSTB)
Released 2017-03-16 Forthcoming/Prepublication

Recent years have yielded significant advances in computing and communication technologies, with profound impacts on society. Technology is transforming the way we work, play, and interact with others. From these technological capabilities, new industries, organizational forms, and business models are emerging. Technological advances can create enormous economic and other benefits, but can also lead to significant changes for workers. IT and automation can change the way work is conducted, by augmenting or replacing workers in specific tasks. This can shift the demand for some types of human labor, eliminating some jobs and creating new ones. Information Technology and the U.S. Workforce explores the interactions between technological, economic, and societal trends and identifies possible near-term developments for work. This report emphasizes the need to understand and track these trends and develop strategies to inform, prepare for, and respond to changes in the labor market. It offers evaluations of what is known, notes open questions to be addressed, and identifies promising research pathways moving forward.

Refining the Concept of Scientific Inference When Working with Big Data: Proceedings of a Workshop   (CATS,BMSA)
Released 2017-02-24

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.

2015-2016 Assessment of the Army Research Laboratory   (ARLTAB,LAB)
Released 2017-02-17 Forthcoming/Prepublication

The National Academies of Sciences, Engineering, and Medicine's Army Research Laboratory Technical Assessment Board (ARLTAB) provides biennial assessments of the scientific and technical quality of the research, development, and analysis programs at the Army Research Laboratory (ARL), focusing on ballistics sciences, human sciences, information sciences, materials sciences, and mechanical sciences. This biennial report summarizes the findings of the ARLTAB from the reviews conducted by the panels in 2015 and 2016 and subsumes the 2015-2016 interim report.

Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions   (BMSA)
Released 2017-02-06

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 elsewhere—exploiting techniques such as complex network analysis, machine learning, streaming social media analysis, and anomaly detection—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.

Cryptographic Agility and Interoperability: Proceedings of a Workshop   (CSTB)
Released 2017-02-03

In May 2016, the National Academies of Sciences, Engineering, and Medicine hosted a workshop on Cryptographic Agility and Interoperability. Speakers at the workshop discussed the history and practice of cryptography, its current challenges, and its future possibilities. This publication summarizes the presentations and discussions from the workshop.