Download Free 2019 2020 Assessment Of The Army Research Laboratory Book in PDF and EPUB Free Download. You can read online 2019 2020 Assessment Of The Army Research Laboratory and write the review.

The mission of Army Research Laboratory (ARL) is to discover, innovate, and transition science and technology to ensure dominant strategic land power. The ARL's core competencies include network and information sciences, computational sciences, human sciences, materials and manufacturing sciences, propulsion sciences, ballistic sciences, and protection sciences. As part of a biennial assessment of the scientific and technical quality of the ARL, this interim report summarizes the findings and recommendations for network and information sciences, computational sciences, and human sciences research.
The mission of Army Research Laboratory (ARL) is to discover, innovate, and transition science and technology to ensure dominant strategic land power. The ARL's core competencies include network and information sciences, computational sciences, human sciences, materials and manufacturing sciences, propulsion sciences, ballistic sciences, and protection sciences. As part of a biennial assessment of the scientific and technical quality of the ARL, this interim report summarizes the findings and recommendations for network and information sciences, computational sciences, and human sciences research.
This report summarizes the 2018 findings of the Panel on Review of Extramural Basic Research at the Army Research Laboratory, which reviewed the programs at the Army Research Office's Information Sciences Directorate.
This report summarizes the 2019 findings of the Panel on Review of Extramural Basic Research at the Army Research Laboratory, which reviewed the programs at the Army Research Office's Physical Sciences Directorate.
The Army Research Laboratory (ARL) is the corporate laboratory for the U.S. army, which bridges scientific and military communities. The ARL is critical in maintaining the United States' dominant military power through its advanced research and analysis capabilities. The National Academies of Sciences, Engineering, and Medicine's Army Research Laboratory Technical Assessment Board (ARLTAB) conducts biennial assessments of the scientific and technical quality of the facilities. These assessments are necessary to ensure that the ARL's resources and quality of programs are maximized. 2017-2018 Assessment of the Army Research Laboratory includes findings and recommendations regarding the quality of the ARL's research, development, and analysis programs. The report of the assessment is subdivided by the ARL's Science and Technology campaigns, including Materials Research, Sciences for Lethality and Protection, Information Sciences, Computational Sciences, Sciences for Maneuver, Human Sciences, and Analysis and Assessment. This biennial report summarizes the findings for the 2017-2018 period.
This book on data visualization is the eighth in a planned series of books that examine key topics (e.g., learner modeling, instructional strategies, authoring, domain modeling, assessment, team tutoring, self-improving systems, data visualization, and competency based scenario design) in intelligent tutoring system (ITS) design. This book focuses on data visualization and how it is applied in ITSs. The chapters within this book specifically examine topics in relationship to the Generalized Intelligent Framework for Tutoring (GIFT) (Sottilare, Brawner, Goldberg & Holden, 2012; Sottilare, Brawner, Sinatra, & Johnston, 2017). GIFT is an open-source, domain-independent, modular, service-oriented architecture for ITSs. The design of GIFT allows for reusability, reduction in authoring time, and reducing the skill level needed to create an ITS. GIFT provides functionality to create ITSs, distribute ITSs to learners through the Cloud, conduct research to evaluate ITSs, and to examine instructional outcomes. Data visualization is an important topic for ITSs, as there are many different users of the systems (including learners, instructors, researchers, subject matter experts). The data that is collected by the ITS can be organized and displayed in a number of different ways. The current book includes a general discussion of how data visualizations can be applied in ITSs, as well as detailed specific examples of existing implementations, and technical details related to incorporating data visualization in ITSs. We believe this book can be used as a design tool for data visualization interfaces in ITSs.
Taking Intelligence to the Next Level: Advanced Intelligence Analysis Methodologies Using Real-World Business, Crime, Military, and Terrorism Examples examines intelligence gathering and analysis and the significance of these programs. Coverage assumes a basic understanding of the intelligence cycle and processes, and the book builds upon the author’s previous text, Intelligence Analysis Fundamentals—also published by CRC Press—to further address various types of intelligence, the function and increasing usage of intelligence in both the private and public sectors, and the consumption of intelligence products to inform strategic decision-making. Developed for a classroom environment, chapters are packed with multiple examples, visuals, and practical exercises tailored for the intelligence community (IC), military intelligence analyst, criminal, or business analyst alike. The text begins with a chapter on analytical ethics, an important topic that sets the tone for those to come that cover intelligence gathering analytical techniques. The author utilizes multiple instructive learning approaches to build on the student’s existing analytical skills gained from other training resources, their experience, or some other combination. While topics covered are germane to all intelligence analysis fields—including military, national, political, criminal, and business—specific chapters and sections and most instructional examples, scenarios, exercises, and learning activities focus on the Homeland Security Mission and the associated problem sets. The training presentation methods and instructional approaches are the product of much thought, research, and discussion, and a variety of US government and commercial analytical training methodologies are presented. The book closes with a final chapter looking at future trends in intelligence analysis. Key Features: Provides tools to challenge intelligence assessments systematically and objectively, a prerequisite to vetted intelligence conclusions Outlines diagnostic techniques to explain events or data sets, anticipate potential outcomes, predict future trends, and make decisions for optimal outcomes Details how to conduct research to effectively write, edit, format, and disseminate reports to best effect An accompany Instructor’s Guide, for use in the classroom, contains the same practical exercises as those found in the student text, as well as facilitator’s guides, practical exercise solutions, discussion points, sample test questions, and answer keys, to include other websites that can provide additional instructional content. Taking Intelligence to the Next Level serves as an essential course textbook for programs in intelligence, terrorism, and Homeland Security in addition to serving a useful reference for practicing professionals. Ancillaries including PowerPoint lecture slides, as well as the Instructor’s Guide with Test Bank, are available for qualified course adopters.
This book is a resource for those who are new to intelligent tutoring systems (ITSs), as well as those with a great deal of experience with them. This is the tenth book in our Design Recommendations for Intelligent Tutoring Systems book series. The focus of this book is on Strengths, Weaknesses, Opportunities, and Threats (SWOT) Analyses of varying components of ITSs. Each chapter in the book represents a different topic area, and includes a SWOT analysis that is specific to that topic and how it relates to ITSs. This book can be read in order, or a reader can choose a specific topic area and move directly to that chapter. Each SWOT Analysis describes the current state of the topic area, and how the lessons learned from the analysis could be applied to the Generalized Intelligent Framework for Tutoring (GIFT) (Sottilare et al., 2012; Sottilare et al., 2017). GIFT is an ITS architecture that is open-source, modular, and domain independent (Sottilare et al., 2017). Each book in the design recommendations series has addressed a different ITS topic area, and how the work in each chapter can relate to and inform the GIFT architecture. GIFT has continually been in development, with features consistently being added to improve functionality, as well as reduce the skill requirement for authoring content in GIFT. GIFT is freely available in both downloadable and Cloud versions at https://www.GIFTtutoring.org.
Because the U.S. military's long-held advantage in physical capital and equipment is waning, cutting-edge human capital management is more critical than ever before. The authors of "Starting Strong" argue that by gathering detailed information on the unique talents possessed by each newly commissioned Army officer, as well as on the unique talent demands of each Army basic branch, the Army can create a "talent market" that identifies and liberates the strengths of every officer, aligning each with the career field where they are most likely to be engaged, productive, and satisfied leaders. Strong evidence demonstrates that this talent-based approach better aligns officer talent with occupational requirements while simultaneously increasing individual branch satisfaction.
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 interim report summarizes the findings of the ARLTAB for the first year of this biennial assessment; the current report addresses approximately half the portfolio for each campaign; the remainder will be assessed in 2018.