Improving the Decision Making Abilities of Small Unit Leaders

Improving the Decision Making Abilities of Small Unit Leaders

Author: National Research Council

Publisher: National Academies Press

Published: 2012-08-06

Total Pages: 130

ISBN-13: 0309216052

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For the past decade, the U.S. Marine Corps and its sister services have been engaged in what has been termed "hybrid warfare," which ranges from active combat to civilian support. Hybrid warfare typically occurs in environments where all modes of war are employed, such as conventional weapons, irregular tactics, terrorism, disruptive technologies, and criminality to destabilize an existing order. In August 2010, the National Research Council established the Committee on Improving the Decision Making Abilities of Small Unit Leaders to produce Improving the Decision Making Abilities of Small Unit Leaders. This report examines the operational environment, existing abilities, and gap to include data, technology, skill sets, training, and measures of effectiveness for small unit leaders in conducting enhanced company operations (ECOs) in hybrid engagement, complex environments. Improving the Decision Making Abilities of Small Unit Leaders also determines how to understand the decision making calculus and indicators of adversaries. Improving the Decision Making Abilities of Small Unit Leaders recommends operational and technical approaches for improving the decision making abilities of small unit leaders, including any acquisition and experimentation efforts that can be undertaken by the Marine Corps and/or by other stakeholders aimed specifically at improving the decision making of small unit leaders. This report recommends ways to ease the burden on small unit leaders and to better prepare the small unit leader for success. Improving the Decision Making Abilities of Small Unit Leaders also indentifies a responsible organization to ensure that training and education programs are properly developed, staffed, operated, evaluated, and expanded.


Allocating Federal Funds for State Programs for English Language Learners

Allocating Federal Funds for State Programs for English Language Learners

Author: National Research Council

Publisher: National Academies Press

Published: 2011-06-20

Total Pages: 240

ISBN-13: 0309216737

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As the United States continues to be a nation of immigrants and their children, the nation's school systems face increased enrollments of students whose primary language is not English. With the 2001 reauthorization of the Elementary and Secondary Education Act (ESEA) in the No Child Left Behind Act (NCLB), the allocation of federal funds for programs to assist these students to be proficient in English became formula-based: 80 percent on the basis of the population of children with limited English proficiency1 and 20 percent on the basis of the population of recently immigrated children and youth. Title III of NCLB directs the U.S. Department of Education to allocate funds on the basis of the more accurate of two allowable data sources: the number of students reported to the federal government by each state education agency or data from the American Community Survey (ACS). The department determined that the ACS estimates are more accurate, and since 2005, those data have been basis for the federal distribution of Title III funds. Subsequently, analyses of the two data sources have raised concerns about that decision, especially because the two allowable data sources would allocate quite different amounts to the states. In addition, while shortcomings were noted in the data provided by the states, the ACS estimates were shown to fluctuate between years, causing concern among the states about the unpredictability and unevenness of program funding. In this context, the U.S. Department of Education commissioned the National Research Council to address the accuracy of the estimates from the two data sources and the factors that influence the estimates. The resulting book also considers means of increasing the accuracy of the data sources or alternative data sources that could be used for allocation purposes.


Decision Making and Business Performance

Decision Making and Business Performance

Author: Eric J. Bolland

Publisher: Edward Elgar Publishing

Published: 2018

Total Pages: 311

ISBN-13: 1786430169

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This breakthrough study examines how business decisions explain successful and unsuccessful performance. Real world and academic research is evaluated, including interviews and cases studies, to create a model of how decisions and performance are connected for businesses of all sizes. Recommendations are made to optimize decision making and projections about the future of decision making and performance are provided.


Business Information Systems

Business Information Systems

Author: Witold Abramowicz

Publisher: Springer

Published: 2012-05-08

Total Pages: 0

ISBN-13: 9783642303586

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This book contains the refereed proceedings of the 15th International Conference on Business Information Systems, BIS 2012, held in Vilnius, Lithuania, in May 2012. The 26 revised full papers were carefully reviewed and selected from 70 submissions. They are grouped into nine sessions on business process discovery, business process verification, service architectures, collaborative BIS, data management, Web search applications, BIS in finance, decision support, and specific BIS issues. The volume is completed by an invited paper on "Information Systems and Business and Information Systems Engineering."


Public Participation in Environmental Assessment and Decision Making

Public Participation in Environmental Assessment and Decision Making

Author: National Research Council

Publisher: National Academies Press

Published: 2008-11-07

Total Pages: 322

ISBN-13: 0309134412

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Federal agencies have taken steps to include the public in a wide range of environmental decisions. Although some form of public participation is often required by law, agencies usually have broad discretion about the extent of that involvement. Approaches vary widely, from holding public information-gathering meetings to forming advisory groups to actively including citizens in making and implementing decisions. Proponents of public participation argue that those who must live with the outcome of an environmental decision should have some influence on it. Critics maintain that public participation slows decision making and can lower its quality by including people unfamiliar with the science involved. This book concludes that, when done correctly, public participation improves the quality of federal agencies' decisions about the environment. Well-managed public involvement also increases the legitimacy of decisions in the eyes of those affected by them, which makes it more likely that the decisions will be implemented effectively. This book recommends that agencies recognize public participation as valuable to their objectives, not just as a formality required by the law. It details principles and approaches agencies can use to successfully involve the public.


Decision-Making in Adult Neurology , E-Book

Decision-Making in Adult Neurology , E-Book

Author: Brett Cucchiara

Publisher: Elsevier Health Sciences

Published: 2020-09-16

Total Pages: 483

ISBN-13: 0323733689

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Written by neurologists for neurologists, Decision-Making in Adult Neurology provides practical guidance when encountering patients whose clinical presentation is unfamiliar or complex, or whose treatment path is not completely certain. This useful handbook is filled with diagnostic and treatment algorithms that encourage you to think systematically and follow a logical sequence through the steps necessary for efficient and effective decision-making. - Outlines the key decision points in patient management, providing a wealth of systematic information that ensures you take into account the proper physical signs and test results that will guide your recommendations. - Contains 119 algorithms covering symptoms and signs, specific neurologic conditions, vascular disorders, seizures, head trauma, neoplastic disease, peripheral nervous disorders, and muscle disease. - Accompanies each algorithm with brief text that explains the significance of important decision points. - Provides step-by-step decision-making guidelines for testing and management of paraneoplastic diseases, choice of initial MS therapy, evaluation of incidentally discovered MRI white matter lesions, management of asymptomatic carotid stenosis, and much more.


Fundamentals of Clinical Data Science

Fundamentals of Clinical Data Science

Author: Pieter Kubben

Publisher: Springer

Published: 2018-12-21

Total Pages: 219

ISBN-13: 3319997130

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This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.


Decision Making under Deep Uncertainty

Decision Making under Deep Uncertainty

Author: Vincent A. W. J. Marchau

Publisher: Springer

Published: 2019-04-04

Total Pages: 408

ISBN-13: 3030052524

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This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.