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 : 54,8 Mb
Release : 2018-07-31
Category : Computers
ISBN : 9780309481892

Get Book

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 : 457 pages
File Size : 46,6 Mb
Release : 2013-12-31
Category : Computers
ISBN : 9781466649217

Get Book

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 : 44,7 Mb
Release : 2018-10-01
Category : Computers
ISBN : 9780309483735

Get Book

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 : 50,5 Mb
Release : 2016-06-30
Category : Computers
ISBN : 9781785885877

Get Book

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 : 43,5 Mb
Release : 2019-05-30
Category : Political Science
ISBN : 9783030173128

Get Book

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 : 40,8 Mb
Release : 2023-03-09
Category : Technology & Engineering
ISBN : 9783031244537

Get Book

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 : 40,5 Mb
Release : 2015-06-10
Category : Computers
ISBN : 9783319204246

Get Book

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 : 54,5 Mb
Release : 2024-07-01
Category : Electronic
ISBN : 9783031465659

Get Book

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 : 42,8 Mb
Release : 2018-11-04
Category : Technology & Engineering
ISBN : 9780309477505

Get Book

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 : 54,5 Mb
Release : 2022-09-21
Category : Medical
ISBN : 9781975206413

Get Book

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 : 52,5 Mb
Release : 2007
Category : Communication in science
ISBN : UCLA:L0097366496

Get Book

Cyberinfrastructure Vision for 21st Century Discovery by Anonim Pdf

Author : Flaminio Squazzoni
Publisher : Springer Nature
Page : 595 pages
File Size : 48,9 Mb
Release : 2023-11-01
Category : Science
ISBN : 9783031349201

Get Book

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,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 : 49,6 Mb
Release : 2020-09-02
Category : Education
ISBN : 9780309677738

Get Book

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 : Taser, Pelin Yildirim
Publisher : IGI Global
Page : 334 pages
File Size : 43,9 Mb
Release : 2021-11-05
Category : Computers
ISBN : 9781799841876

Get Book

Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics by Taser, Pelin Yildirim Pdf

The internet of things (IoT) has emerged to address the need for connectivity and seamless integration with other devices as well as big data platforms for analytics. However, there are challenges that IoT-based applications face including design and implementation issues; connectivity problems; data gathering, storing, and analyzing in cloud-based environments; and IoT security and privacy issues. Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics is a critical reference source that provides theoretical frameworks and research findings on IoT and big data integration. Highlighting topics that include wearable sensors, machine learning, machine intelligence, and mobile computing, this book serves professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. It is therefore of most value to data scientists, computer scientists, data analysts, IT specialists, academicians, professionals, researchers, and students working in the field of information and knowledge management in various disciplines that include but are not limited to information and communication sciences, administrative sciences and management, education, sociology, computer science, etc. Moreover, the book provides insights and supports executives concerned with the management of expertise, knowledge, information, and organizational development in different types of work communities and environments.

Author : Manish Kumar Gupta,Pramod Katara,Sukanta Mondal,Ram Lakhan Singh
Publisher : Elsevier
Page : 434 pages
File Size : 54,9 Mb
Release : 2024-05-10
Category : Science
ISBN : 9780443160936

Get Book

Integrative Omics by Manish Kumar Gupta,Pramod Katara,Sukanta Mondal,Ram Lakhan Singh Pdf

Integrative Omics: Concepts, Methodology and Applications provides a holistic and integrated view of defining and applying network approaches, integrative tools, and methods to solve problems for the rationalization of genotype to phenotype relationships. The reference includes a range of chapters in a systemic ‘step by step’ manner, which begins with the basic concepts from Omic to Multi Integrative Omics approaches, followed by their full range of approaches, applications, emerging trends, and future trends. All key areas of Omics are covered including biological databases, sequence alignment, pharmacogenomics, nutrigenomics and microbial omics, integrated omics for Food Science and Identification of genes associated with disease, clinical data integration and data warehousing, translational omics as well as omics technology policy and society research. Integrative Omics: Concepts, Methodology and Applications highlights the recent concepts, methodologies, advancements in technologies and is also well-suited for researchers from both academic and industry background, undergraduate and graduate students who are mainly working in the area of computational systems biology, integrative omics and translational science. The book bridges the gap between biological sciences, physical sciences, computer science, statistics, data science, information technology and mathematics by presenting content specifically dedicated to mathematical models of biological systems. Provides a holistic, integrated view of a defining and applying network approach, integrative tools, and methods to solve problems for rationalization of genotype to phenotype relationships Offers an interdisciplinary approach to Databases, data analytics techniques, biological tools, network construction, analysis, modeling, prediction and simulation of biological systems leading to ‘translational research’, i.e., drug discovery, drug target prediction, and precision medicine Covers worldwide methods, concepts, databases, and tools used in the construction of integrated pathways