Reproducibility And Replicability In Science

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Reproducibility and Replicability in Science

Author : National Academies of Sciences, Engineering, and Medicine,Policy and Global Affairs,Committee on Science, Engineering, Medicine, and Public Policy,Board on Research Data and Information,Division on Engineering and Physical Sciences,Committee on Applied and Theoretical Statistics,Board on Mathematical Sciences and Analytics,Division on Earth and Life Studies,Nuclear and Radiation Studies Board,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Board on Behavioral, Cognitive, and Sensory Sciences,Committee on Reproducibility and Replicability in Science
Publisher : National Academies Press
Page : 257 pages
File Size : 42,9 Mb
Release : 2019-10-20
Category : Science
ISBN : 9780309486163

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Reproducibility and Replicability in Science by National Academies of Sciences, Engineering, and Medicine,Policy and Global Affairs,Committee on Science, Engineering, Medicine, and Public Policy,Board on Research Data and Information,Division on Engineering and Physical Sciences,Committee on Applied and Theoretical Statistics,Board on Mathematical Sciences and Analytics,Division on Earth and Life Studies,Nuclear and Radiation Studies Board,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Board on Behavioral, Cognitive, and Sensory Sciences,Committee on Reproducibility and Replicability in Science Pdf

One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.

Reproducibility and Replicability in Science

Author : National Academies of Sciences, Engineering, and Medicine,Policy and Global Affairs,Committee on Science, Engineering, Medicine, and Public Policy,Board on Research Data and Information,Division on Engineering and Physical Sciences,Committee on Applied and Theoretical Statistics,Board on Mathematical Sciences and Analytics,Division on Earth and Life Studies,Nuclear and Radiation Studies Board,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Board on Behavioral, Cognitive, and Sensory Sciences,Committee on Reproducibility and Replicability in Science
Publisher : National Academies Press
Page : 257 pages
File Size : 49,8 Mb
Release : 2019-09-20
Category : Science
ISBN : 9780309486194

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Reproducibility and Replicability in Science by National Academies of Sciences, Engineering, and Medicine,Policy and Global Affairs,Committee on Science, Engineering, Medicine, and Public Policy,Board on Research Data and Information,Division on Engineering and Physical Sciences,Committee on Applied and Theoretical Statistics,Board on Mathematical Sciences and Analytics,Division on Earth and Life Studies,Nuclear and Radiation Studies Board,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Board on Behavioral, Cognitive, and Sensory Sciences,Committee on Reproducibility and Replicability in Science Pdf

One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.

The Problem with Science

Author : R. Barker Bausell
Publisher : Oxford University Press
Page : 128 pages
File Size : 52,6 Mb
Release : 2021-01-26
Category : Psychology
ISBN : 9780197536544

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The Problem with Science by R. Barker Bausell Pdf

Recent events have vividly underscored the societal importance of science, yet the majority of the public are unaware that a large proportion of published scientific results are simply wrong. The Problem with Science is an exploration of the manifestations and causes of this scientific crisis, accompanied by a description of the very promising corrective initiatives largely developed over the past decade to stem the spate of irreproducible results that have come to characterize many of our sciences. More importantly, Dr. R. Barker Bausell has designed it to provide guidance to practicing and aspiring scientists regarding how (a) to change the way in which science has come to be both conducted and reported in order to avoid producing false positive, irreproducible results in their own work and (b) to change those institutional practices (primarily but not exclusively involving the traditional journal publishing process and the academic reward system) that have unwittingly contributed to the present crisis. There is a need for change in the scientific culture itself. A culture which prioritizes conducting research correctly in order to get things right rather than simply getting it published.

Towards Bayesian Model-Based Demography

Author : Jakub Bijak
Publisher : Springer Nature
Page : 277 pages
File Size : 52,8 Mb
Release : 2021-12-09
Category : Social Science
ISBN : 9783030830397

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Towards Bayesian Model-Based Demography by Jakub Bijak Pdf

This open access book presents a ground-breaking approach to developing micro-foundations for demography and migration studies. It offers a unique and novel methodology for creating empirically grounded agent-based models of international migration – one of the most uncertain population processes and a top-priority policy area. The book discusses in detail the process of building a simulation model of migration, based on a population of intelligent, cognitive agents, their networks and institutions, all interacting with one another. The proposed model-based approach integrates behavioural and social theory with formal modelling, by embedding the interdisciplinary modelling process within a wider inductive framework based on the Bayesian statistical reasoning. Principles of uncertainty quantification are used to devise innovative computer-based simulations, and to learn about modelling the simulated individuals and the way they make decisions. The identified knowledge gaps are subsequently filled with information from dedicated laboratory experiments on cognitive aspects of human decision-making under uncertainty. In this way, the models are built iteratively, from the bottom up, filling an important epistemological gap in migration studies, and social sciences more broadly.

Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results

Author : National Academies of Sciences, Engineering, and Medicine,Division on Engineering and Physical Sciences,Board on Mathematical Sciences and Their Applications,Committee on Applied and Theoretical Statistics
Publisher : National Academies Press
Page : 133 pages
File Size : 48,5 Mb
Release : 2016-03-29
Category : Mathematics
ISBN : 9780309392020

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Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results by National Academies of Sciences, Engineering, and Medicine,Division on Engineering and Physical Sciences,Board on Mathematical Sciences and Their Applications,Committee on Applied and Theoretical Statistics Pdf

Questions about the reproducibility of scientific research have been raised in numerous settings and have gained visibility through several high-profile journal and popular press articles. Quantitative issues contributing to reproducibility challenges have been considered (including improper data measurement and analysis, inadequate statistical expertise, and incomplete data, among others), but there is no clear consensus on how best to approach or to minimize these problems. A lack of reproducibility of scientific results has created some distrust in scientific findings among the general public, scientists, funding agencies, and industries. While studies fail for a variety of reasons, many factors contribute to the lack of perfect reproducibility, including insufficient training in experimental design, misaligned incentives for publication and the implications for university tenure, intentional manipulation, poor data management and analysis, and inadequate instances of statistical inference. The workshop summarized in this report was designed not to address the social and experimental challenges but instead to focus on the latter issues of improper data management and analysis, inadequate statistical expertise, incomplete data, and difficulties applying sound statistic inference to the available data. Many efforts have emerged over recent years to draw attention to and improve reproducibility of scientific work. This report uniquely focuses on the statistical perspective of three issues: the extent of reproducibility, the causes of reproducibility failures, and the potential remedies for these failures.

Implementing Reproducible Research

Author : Victoria Stodden,Friedrich Leisch,Roger D. Peng
Publisher : CRC Press
Page : 450 pages
File Size : 47,9 Mb
Release : 2014-04-14
Category : Mathematics
ISBN : 9781466561595

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Implementing Reproducible Research by Victoria Stodden,Friedrich Leisch,Roger D. Peng Pdf

In computational science, reproducibility requires that researchers make code and data available to others so that the data can be analyzed in a similar manner as in the original publication. Code must be available to be distributed, data must be accessible in a readable format, and a platform must be available for widely distributing the data and code. In addition, both data and code need to be licensed permissively enough so that others can reproduce the work without a substantial legal burden. Implementing Reproducible Research covers many of the elements necessary for conducting and distributing reproducible research. It explains how to accurately reproduce a scientific result. Divided into three parts, the book discusses the tools, practices, and dissemination platforms for ensuring reproducibility in computational science. It describes: Computational tools, such as Sweave, knitr, VisTrails, Sumatra, CDE, and the Declaratron system Open source practices, good programming practices, trends in open science, and the role of cloud computing in reproducible research Software and methodological platforms, including open source software packages, RunMyCode platform, and open access journals Each part presents contributions from leaders who have developed software and other products that have advanced the field. Supplementary material is available at www.ImplementingRR.org.

Introduction to Psychology

Author : Jennifer Walinga,Charles Stangor
Publisher : Hasanraza Ansari
Page : 810 pages
File Size : 51,5 Mb
Release : 2024-05-04
Category : Body, Mind & Spirit
ISBN : 8210379456XXX

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Introduction to Psychology by Jennifer Walinga,Charles Stangor Pdf

This book is designed to help students organize their thinking about psychology at a conceptual level. The focus on behaviour and empiricism has produced a text that is better organized, has fewer chapters, and is somewhat shorter than many of the leading books. The beginning of each section includes learning objectives; throughout the body of each section are key terms in bold followed by their definitions in italics; key takeaways, and exercises and critical thinking activities end each section.

Fostering Integrity in Research

Author : National Academies of Sciences, Engineering, and Medicine,Policy and Global Affairs,Committee on Science, Engineering, Medicine, and Public Policy,Committee on Responsible Science
Publisher : National Academies Press
Page : 327 pages
File Size : 51,9 Mb
Release : 2018-01-13
Category : Science
ISBN : 9780309391252

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Fostering Integrity in Research by National Academies of Sciences, Engineering, and Medicine,Policy and Global Affairs,Committee on Science, Engineering, Medicine, and Public Policy,Committee on Responsible Science Pdf

The integrity of knowledge that emerges from research is based on individual and collective adherence to core values of objectivity, honesty, openness, fairness, accountability, and stewardship. Integrity in science means that the organizations in which research is conducted encourage those involved to exemplify these values in every step of the research process. Understanding the dynamics that support â€" or distort â€" practices that uphold the integrity of research by all participants ensures that the research enterprise advances knowledge. The 1992 report Responsible Science: Ensuring the Integrity of the Research Process evaluated issues related to scientific responsibility and the conduct of research. It provided a valuable service in describing and analyzing a very complicated set of issues, and has served as a crucial basis for thinking about research integrity for more than two decades. However, as experience has accumulated with various forms of research misconduct, detrimental research practices, and other forms of misconduct, as subsequent empirical research has revealed more about the nature of scientific misconduct, and because technological and social changes have altered the environment in which science is conducted, it is clear that the framework established more than two decades ago needs to be updated. Responsible Science served as a valuable benchmark to set the context for this most recent analysis and to help guide the committee's thought process. Fostering Integrity in Research identifies best practices in research and recommends practical options for discouraging and addressing research misconduct and detrimental research practices.

Reproducibility and Replicability in Science

Author : Engineering National Academies of Sciences,National Academies of Sciences, Engineering, and Medicine (U.S.). Committee on Reproducibility and Replicability in Science,National Academies of Sciences, Engineering, and Medicine (U.S.). Nuclear and Radiation Studies Board,National Academies of Sciences, Engineering, and Medicine (U.S.). Board on Research Data and Information,National Academies of Sciences, Engineering, and Medicine (U.S.). Board on Mathematical Sciences and Analytics
Publisher : Unknown
Page : 234 pages
File Size : 49,9 Mb
Release : 2019
Category : Reproducible research
ISBN : 0309486173

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Reproducibility and Replicability in Science by Engineering National Academies of Sciences,National Academies of Sciences, Engineering, and Medicine (U.S.). Committee on Reproducibility and Replicability in Science,National Academies of Sciences, Engineering, and Medicine (U.S.). Nuclear and Radiation Studies Board,National Academies of Sciences, Engineering, and Medicine (U.S.). Board on Research Data and Information,National Academies of Sciences, Engineering, and Medicine (U.S.). Board on Mathematical Sciences and Analytics Pdf

"One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science"--Publisher's description

Research Methods in International Business

Author : Lorraine Eden,Bo Bernhard Nielsen,Alain Verbeke
Publisher : Springer Nature
Page : 501 pages
File Size : 45,6 Mb
Release : 2019-12-06
Category : Business & Economics
ISBN : 9783030221133

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Research Methods in International Business by Lorraine Eden,Bo Bernhard Nielsen,Alain Verbeke Pdf

Showcasing methodological rigour and state-of-the-art methods as hallmarks of modern international business (IB) research, this book offers a collection of the most relevant and highly cited research methods articles from the Journal of International Business Studies (JIBS). Each piece is accompanied by a new Commentary written by experts in the field; some also include Further Reflections by the original authors. Encompassing both qualitative and quantitative approaches, this comprehensive volume explores research design, testing and reporting, as well as specific methodological issues such as endogeneity, common method variance, and theorising from case studies. With recommendations for best practices relating to interaction effects, hypothesis testing, and replicability, this book is a unique and up-to-date reference source on the latest research methods and practices in international business. The book will also be essential reading for those studying any sub-discipline of IB research, including international economics, entrepreneurship, finance, management and marketing.

Science Fictions

Author : Stuart Ritchie
Publisher : Arrow
Page : 368 pages
File Size : 51,9 Mb
Release : 2021-09-16
Category : Errors, Scientific
ISBN : 1529110645

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Science Fictions by Stuart Ritchie Pdf

The Production of Knowledge

Author : Colin Elman,John Gerring,James Mahoney
Publisher : Cambridge University Press
Page : 569 pages
File Size : 51,9 Mb
Release : 2020-03-19
Category : Language Arts & Disciplines
ISBN : 9781108486774

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The Production of Knowledge by Colin Elman,John Gerring,James Mahoney Pdf

A wide-ranging discussion of factors that impede the cumulation of knowledge in the social sciences, including problems of transparency, replication, and reliability. Rather than focusing on individual studies or methods, this book examines how collective institutions and practices have (often unintended) impacts on the production of knowledge.

Information and Experimental Knowledge

Author : James Mattingly
Publisher : University of Chicago Press
Page : 373 pages
File Size : 40,5 Mb
Release : 2021
Category : SCIENCE
ISBN : 9780226804811

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Information and Experimental Knowledge by James Mattingly Pdf

Introduction -- Aspects of experimentation -- Information and experimentation -- Ways of experimenting.

The Practice of Reproducible Research

Author : Justin Kitzes,Daniel Turek,Fatma Deniz
Publisher : Univ of California Press
Page : 364 pages
File Size : 51,7 Mb
Release : 2018
Category : Science
ISBN : 9780520294752

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The Practice of Reproducible Research by Justin Kitzes,Daniel Turek,Fatma Deniz Pdf

The Practice of Reproducible Research presents concrete examples of how researchers in the data-intensive sciences are working to improve the reproducibility of their research projects. In each of the thirty-one case studies in this volume, the author or team describes the workflow that they used to complete a real-world research project. Authors highlight how they utilized particular tools, ideas, and practices to support reproducibility, emphasizing the very practical how, rather than the why or what, of conducting reproducible research. Part 1 provides an accessible introduction to reproducible research, a basic reproducible research project template, and a synthesis of lessons learned from across the thirty-one case studies. Parts 2 and 3 focus on the case studies themselves. The Practice of Reproducible Research is an invaluable resource for students and researchers who wish to better understand the practice of data-intensive sciences and learn how to make their own research more reproducible.