Opportunities From The Integration Of Simulation Science And Data Science

Author : National Academies of Sciences, Engineering, and Medicine,Division on Engineering and Physical Sciences,Computer Science and Telecommunications Board,Committee on Future Directions for NSF Advanced Computing Infrastructure to Support U.S. Science in 2017-2020
Publisher : National Academies Press
Page : 49 pages
File Size : 44,7 Mb
Release : 2018-07-31
Category : Computers
ISBN : 9780309481892

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Opportunities from the Integration of Simulation Science and Data Science by National Academies of Sciences, Engineering, and Medicine,Division on Engineering and Physical Sciences,Computer Science and Telecommunications Board,Committee on Future Directions for NSF Advanced Computing Infrastructure to Support U.S. Science in 2017-2020 Pdf

Convergence has been a key topic of discussion about the future of cyberinfrastructure for science and engineering research. Convergence refers both to the combined use of simulation and data-centric techniques in science and engineering research and the possibilities for a single type of cyberinfrastructure to support both techniques. The National Academies of Science, Engineering, and Medicine convened a Workshop on Converging Simulation and Data-Driven Science on May 10, 2018, in Washington, D.C. The workshop featured speakers from universities, national laboratories, technology companies, and federal agencies who addressed the potential benefits and limitations of convergence as they relate to scientific needs, technological capabilities, funding structures, and system design requirements. This publication summarizes the presentations and discussions from the workshop.

Author : Janssens, Davy
Publisher : IGI Global
Page : 350 pages
File Size : 47,9 Mb
Release : 2013-12-31
Category : Computers
ISBN : 9781466649217

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Data Science and Simulation in Transportation Research by Janssens, Davy Pdf

Given its effective techniques and theories from various sources and fields, data science is playing a vital role in transportation research and the consequences of the inevitable switch to electronic vehicles. This fundamental insight provides a step towards the solution of this important challenge. Data Science and Simulation in Transportation Research highlights entirely new and detailed spatial-temporal micro-simulation methodologies for human mobility and the emerging dynamics of our society. Bringing together novel ideas grounded in big data from various data mining and transportation science sources, this book is an essential tool for professionals, students, and researchers in the fields of transportation research and data mining.

Author : National Academies of Sciences, Engineering, and Medicine,Division on Engineering and Physical Sciences,Computer Science and Telecommunications Board,Committee on Cyber Resilience Workshop Series
Publisher : National Academies Press
Page : 61 pages
File Size : 51,6 Mb
Release : 2018-10-01
Category : Computers
ISBN : 9780309483735

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Recoverability as a First-Class Security Objective by National Academies of Sciences, Engineering, and Medicine,Division on Engineering and Physical Sciences,Computer Science and Telecommunications Board,Committee on Cyber Resilience Workshop Series Pdf

The Forum on Cyber Resilience of the National Academies of Sciences, Engineering, and Medicine hosted the Workshop on Recoverability as a First-Class Security Objective on February 8, 2018, in Washington, D.C. The workshop featured presentations from several experts in industry, research, and government roles who spoke about the complex facets of recoverabilityâ€"that is, the ability to restore normal operations and security in a system affected by software or hardware failure or a deliberate attack. This publication summarizes the presentations and discussions from the workshop.

Author : Matthias Templ
Publisher : Packt Publishing Ltd
Page : 398 pages
File Size : 44,9 Mb
Release : 2016-06-30
Category : Computers
ISBN : 9781785885877

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Simulation for Data Science with R by Matthias Templ Pdf

Harness actionable insights from your data with computational statistics and simulations using R About This Book Learn five different simulation techniques (Monte Carlo, Discrete Event Simulation, System Dynamics, Agent-Based Modeling, and Resampling) in-depth using real-world case studies A unique book that teaches you the essential and fundamental concepts in statistical modeling and simulation Who This Book Is For This book is for users who are familiar with computational methods. If you want to learn about the advanced features of R, including the computer-intense Monte-Carlo methods as well as computational tools for statistical simulation, then this book is for you. Good knowledge of R programming is assumed/required. What You Will Learn The book aims to explore advanced R features to simulate data to extract insights from your data. Get to know the advanced features of R including high-performance computing and advanced data manipulation See random number simulation used to simulate distributions, data sets, and populations Simulate close-to-reality populations as the basis for agent-based micro-, model- and design-based simulations Applications to design statistical solutions with R for solving scientific and real world problems Comprehensive coverage of several R statistical packages like boot, simPop, VIM, data.table, dplyr, parallel, StatDA, simecol, simecolModels, deSolve and many more. In Detail Data Science with R aims to teach you how to begin performing data science tasks by taking advantage of Rs powerful ecosystem of packages. R being the most widely used programming language when used with data science can be a powerful combination to solve complexities involved with varied data sets in the real world. The book will provide a computational and methodological framework for statistical simulation to the users. Through this book, you will get in grips with the software environment R. After getting to know the background of popular methods in the area of computational statistics, you will see some applications in R to better understand the methods as well as gaining experience of working with real-world data and real-world problems. This book helps uncover the large-scale patterns in complex systems where interdependencies and variation are critical. An effective simulation is driven by data generating processes that accurately reflect real physical populations. You will learn how to plan and structure a simulation project to aid in the decision-making process as well as the presentation of results. By the end of this book, you reader will get in touch with the software environment R. After getting background on popular methods in the area, you will see applications in R to better understand the methods as well as to gain experience when working on real-world data and real-world problems. Style and approach This book takes a practical, hands-on approach to explain the statistical computing methods, gives advice on the usage of these methods, and provides computational tools to help you solve common problems in statistical simulation and computer-intense methods.

Author : Simon Elias Bibri
Publisher : Springer
Page : 337 pages
File Size : 45,8 Mb
Release : 2019-05-30
Category : Political Science
ISBN : 9783030173128

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Big Data Science and Analytics for Smart Sustainable Urbanism by Simon Elias Bibri Pdf

We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms are using to generate valuable knowledge for enhanced decision-making, and deep insights pertaining to a wide variety of practical uses and applications. This book addresses the complex interplay of the scientific, technological, and social dimensions of the city, and what it entails in terms of the systemic implications for smart sustainable urbanism. In concrete terms, it explores the interdisciplinary and transdisciplinary field of smart sustainable urbanism and the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics. This new era of science and technology embodies an unprecedentedly transformative and constitutive power—manifested not only in the form of revolutionizing science and transforming knowledge, but also in advancing social practices, producing new discourses, catalyzing major shifts, and fostering societal transitions. Of particular relevance, it is instigating a massive change in the way both smart cities and sustainable cities are studied and understood, and in how they are planned, designed, operated, managed, and governed in the face of urbanization. This relates to what has been dubbed data-driven smart sustainable urbanism, an emerging approach based on a computational understanding of city systems and processes that reduces urban life to logical and algorithmic rules and procedures, while also harnessing urban big data to provide a more holistic and integrated view or synoptic intelligence of the city. This is increasingly being directed towards improving, advancing, and maintaining the contribution of both sustainable cities and smart cities to the goals of sustainable development. This timely and multifaceted book is aimed at a broad readership. As such, it will appeal to urban scientists, data scientists, urbanists, planners, engineers, designers, policymakers, philosophers of science, and futurists, as well as all readers interested in an overview of the pivotal role of big data science and analytics in advancing every academic discipline and social practice concerned with data–intensive science and its application, particularly in relation to sustainability.

Author : Gintautas Dzemyda,Jolita Bernatavičienė,Janusz Kacprzyk
Publisher : Springer Nature
Page : 260 pages
File Size : 50,5 Mb
Release : 2023-03-09
Category : Technology & Engineering
ISBN : 9783031244537

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Data Science in Applications by Gintautas Dzemyda,Jolita Bernatavičienė,Janusz Kacprzyk Pdf

This book provides an overview of a wide range of relevant applications and reveals how to solve them. Many of the latest applications in finance, technology, education, medicine and other important and relevant fields are data-driven. The volumes of data are enormous. Specific methods need to be developed or adapted to solve a particular problem. It illustrates data science in applications. These applications have in common the discovery of knowledge in data and the use of this knowledge to make real decisions. The set of examples presented serves as a recipe book for their direct application to similar problems or as a guide for the development of new, more sophisticated approaches. The intended readership is data scientists looking for appropriate solutions to their problems. In addition, the examples provided serves as material for lectures at universities.

Author : Sebastian Maneth
Publisher : Springer
Page : 221 pages
File Size : 48,7 Mb
Release : 2015-06-10
Category : Computers
ISBN : 9783319204246

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Data Science by Sebastian Maneth Pdf

This book constitutes the refereed conference proceedings of the 30th British International Conference on Databases, BICOD 2015 - formerly known as BNCOD (British National Conference on Databases) - held in Edinburgh, UK, in July 2015. The 19 revised full papers, presented together with three invited keynotes and three invited lectures were carefully reviewed and selected from 37 submissions. Special focus of the conference has been "Data Science" and so the papers cover a wide range of topics related to databases and data-centric computation.

Author : Stefan Sandfeld
Publisher : Springer Nature
Page : 629 pages
File Size : 48,7 Mb
Release : 2024-06-14
Category : Electronic
ISBN : 9783031465659

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Materials Data Science by Stefan Sandfeld Pdf

Author : National Academies of Sciences, Engineering, and Medicine,Division on Engineering and Physical Sciences,Aeronautics and Space Engineering Board,Committee on Assessing the Risks of Unmanned Aircraft Systems (UAS) Integration
Publisher : National Academies Press
Page : 79 pages
File Size : 43,5 Mb
Release : 2018-11-04
Category : Technology & Engineering
ISBN : 9780309477505

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Assessing the Risks of Integrating Unmanned Aircraft Systems (UAS) into the National Airspace System by National Academies of Sciences, Engineering, and Medicine,Division on Engineering and Physical Sciences,Aeronautics and Space Engineering Board,Committee on Assessing the Risks of Unmanned Aircraft Systems (UAS) Integration Pdf

When discussing the risk of introducing drones into the National Airspace System, it is necessary to consider the increase in risk to people in manned aircraft and on the ground as well as the various ways in which this new technology may reduce risk and save lives, sometimes in ways that cannot readily be accounted for with current safety assessment processes. This report examines the various ways that risk can be defined and applied to integrating these Unmanned Aircraft Systems (UAS) into the National Airspace System managed by the Federal Aviation Administration (FAA). It also identifies needs for additional research and developmental opportunities in this field.

Author : Pamela Jeffries
Publisher : Lippincott Williams & Wilkins
Page : 380 pages
File Size : 42,6 Mb
Release : 2022-09-21
Category : Medical
ISBN : 9781975206413

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Clinical Simulations in Nursing Education by Pamela Jeffries Pdf

In today’s quickly changing healthcare environment, simulation has become an indispensable strategy for preparing nursing students to deliver optimal patient care. Clinical Simulations in Nursing Education: Advanced Concepts, Trends, and Opportunities, Second Edition, takes the use of simulations to the next level, exploring innovative teaching/learning methods, new clinical models, and up-to-date best practices for providing high-quality education. From the evolution of clinical simulations to the use of more virtual simulations, incorporation of important constructs such as the social determinants of health, and the use of simulations in nursing education and competency-based testing, this engaging resource continues to provide intermediate and advanced simulation users and advocates with critical considerations for advancing simulation in nursing education. The comprehensive updated second edition focuses on the latest trends and concepts in simulation pedagogy to help nurse educators confidently prepare for their role in developing, planning, implementing, evaluating, and conducting research for effective simulation programs.

Author : Anonim
Publisher : Unknown
Page : 68 pages
File Size : 40,7 Mb
Release : 2007
Category : Communication in science
ISBN : UCLA:L0097366496

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Cyberinfrastructure Vision for 21st Century Discovery by Anonim Pdf

Author : Flaminio Squazzoni
Publisher : Springer Nature
Page : 595 pages
File Size : 54,8 Mb
Release : 2023-11-01
Category : Science
ISBN : 9783031349201

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Advances in Social Simulation by Flaminio Squazzoni Pdf

This book highlights recent developments in the field of computer simulation and its application to social dynamics and behaviour. It covers latest advancements in the use of agent-based modelling by focusing on thematic issues, methodological progress and applications, including policy, industry and business. It aims to promote this interdisciplinary type of research by showing synergies, complementary and integration especially between computer sciences, social sciences, economics and organization, often bridging qualitative and quantitative research. The primary audience of this book are academics, practitioners and professionals using computer simulation for business counselling or industry.

Author : National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Board on Science Education,Division on Engineering and Physical Sciences,Committee on Applied and Theoretical Statistics,Board on Mathematical Sciences and Analytics,Computer Science and Telecommunications Board,Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective
Publisher : National Academies Press
Page : 139 pages
File Size : 44,6 Mb
Release : 2018-11-11
Category : Education
ISBN : 9780309475594

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Data Science for Undergraduates by National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Board on Science Education,Division on Engineering and Physical Sciences,Committee on Applied and Theoretical Statistics,Board on Mathematical Sciences and Analytics,Computer Science and Telecommunications Board,Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective Pdf

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.

Author : National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Division on Engineering and Physical Sciences,Board on Science Education,Computer Science and Telecommunications Board,Committee on Applied and Theoretical Statistics,Board on Mathematical Sciences and Analytics
Publisher : National Academies Press
Page : 223 pages
File Size : 46,8 Mb
Release : 2020-09-02
Category : Education
ISBN : 9780309677738

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Roundtable on Data Science Postsecondary Education by National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Division on Engineering and Physical Sciences,Board on Science Education,Computer Science and Telecommunications Board,Committee on Applied and Theoretical Statistics,Board on Mathematical Sciences and Analytics Pdf

Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary Education was charged with identifying the challenges of and highlighting best practices in postsecondary data science education. Convening quarterly for 3 years, representatives from academia, industry, and government gathered with other experts from across the nation to discuss various topics under this charge. The meetings centered on four central themes: foundations of data science; data science across the postsecondary curriculum; data science across society; and ethics and data science. This publication highlights the presentations and discussions of each meeting.

Author : Michael M. Resch,Johannes Gebert,Hiroaki Kobayashi,Hiroyuki Takizawa,Wolfgang Bez
Publisher : Springer Nature
Page : 84 pages
File Size : 47,9 Mb
Release : 2024
Category : Computer engineering
ISBN : 9783031410734

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Sustained Simulation Performance 2022 by Michael M. Resch,Johannes Gebert,Hiroaki Kobayashi,Hiroyuki Takizawa,Wolfgang Bez Pdf

Zusammenfassung: This book presents the state of the art in High-Performance Computing on modern supercomputer architectures. It addresses trends in hardware and software development in general. The contributions cover a broad range of topics, from performance evaluations in context with power efficiency to Computational Fluid Dynamics and High-Performance Data Analytics. In addition, they explore new topics like the use of High-Performance Computers in the field of Artificial Intelligence and Machine Learning. All contributions are based on selected papers presented in 2022 at the 33rd Workshop on Sustained Simulation Performance, WSSP33, held at HLRS in Stuttgart, Germany, and WSSP34, held at Tohoku University in Sendai, Japan