Related references
Note: Only part of the references are listed.
Article
Computer Science, Interdisciplinary Applications
Kohei Watanabe et al.
Summary: There is a growing interest in quantitative analysis of large corpora among international relations scholars. To address the challenge of using unsupervised machine learning models consistently with existing theoretical frameworks, researchers have proposed a set of techniques that utilize a semisupervised model for efficient document classification. This approach involves creating a dictionary and using an entropy-based diagnostic tool to improve classification accuracy. Experimental results demonstrate the superiority of semisupervised models over unsupervised models, particularly when considering contextual information.
SOCIAL SCIENCE COMPUTER REVIEW
(2022)
Article
Computer Science, Interdisciplinary Applications
Averill Campion et al.
Summary: Despite the popularity of AI, there is limited research on its application in public contexts. This study examines the challenges faced by interorganizational collaborations in adopting AI tools and implementing organizational routines through a case study involving a university and two county councils in England. Findings highlight the key challenges, including resistance to data sharing, inadequate understanding of data requirements, misalignment of project interests and data sharing expectations, and lack of engagement across organizational hierarchy.
SOCIAL SCIENCE COMPUTER REVIEW
(2022)
Article
Computer Science, Interdisciplinary Applications
Marijn Janssen et al.
Summary: This study compares decision making in different scenarios without algorithm support, with business rule support, and with machine learning support. The findings show that algorithms help decision makers make more correct decisions, but experienced individuals are still not able to identify all mistakes. Careful selection of algorithms and training of decision makers are crucial for increasing accountability and transparency.
SOCIAL SCIENCE COMPUTER REVIEW
(2022)
Article
Computer Science, Interdisciplinary Applications
Mark Altaweel
Summary: The trade in antiquities and cultural objects is complex and dynamic, with few computational tools available to systematically understand the legal and illegal markets. This study focused on lower-end but high sales volume objects sold on eBay's U.S. site between October 2018 and May 2019, revealing that the United Kingdom and the United States are major sources of ancient cultural objects. The developed machine learning approach and tool demonstrate the potential to monitor and gain insights into the online market for antiquities and cultural objects.
SOCIAL SCIENCE COMPUTER REVIEW
(2021)
Article
Computer Science, Interdisciplinary Applications
Ben Wasike
Summary: The study shows that altmetrics have a positive impact on the citation of research articles, with postings on academic social networking sites like ResearchGate and Mendeley increasing both readership and citation likelihood. In addition, social media mentions, downloadable articles, coauthorship, and an active online presence among scholars are also factors that improve readership and citation.
SOCIAL SCIENCE COMPUTER REVIEW
(2021)
Article
Computer Science, Interdisciplinary Applications
Ranjith Vijayakumar et al.
Summary: Machine learning methods have gained popularity for their emphasis on predictive accuracy, but little attention has been given to replicability. By adapting replication methods from psychology, this study introduces three replication aims and demonstrates how to combine replications for better precision in predictive accuracy measures. Regression was comparable to many complex methods, while support vector machine showed the most reliable performance across scenarios.
SOCIAL SCIENCE COMPUTER REVIEW
(2021)
Article
Multidisciplinary Sciences
Martin Saveski et al.
Summary: This study explores the characteristics of successful groups in an escape room game and examines the ability of humans and machines to identify successful groups from photos. Larger, older, and more gender-diverse groups are found to be more likely to succeed. Machines outperform humans in predicting group success based on visual cues, showing the potentials and limitations of machine learning systems in this context.
SCIENTIFIC REPORTS
(2021)
Article
Multidisciplinary Sciences
Jake M. Hofman et al.
Summary: Computational social science involves the convergence of different fields with different ways of thinking and doing science. It emphasizes combining explanatory and predictive approaches, advocating for integrative modeling to further research goals.
Article
Multidisciplinary Sciences
Werner A. Stahel
Summary: The concept of p-value has been widely debated in recent decades, with criticism over its interpretation of testing unrealistic null hypotheses. The focus should shift towards determining the relevance of an effect, leading to the proposal of a relevant threshold and quantitative measure. Statistical inference should be based on confidence intervals for relevance, which could potentially lead to a more comprehensive classification of results beyond simply significant or non-significant findings. If desired, a single number called the secured relevance may provide a scientifically meaningful interpretation of the results.
Article
Sociology
Nate Breznau
Summary: The paper discusses the need for sociology to change in response to reliability, transparency, and ethical crises that have affected other social science disciplines. It reviews sociology as a discipline by examining current practices, definitions, positions of sociological associations, and arguments from influential sociologists like Weber, Merton, and Habermas. The overview aims to help students and sociologists quickly familiarize themselves with the state of sociology and consider the relevance of open science to their discipline.
Article
Political Science
Nate Breznau
PS-POLITICAL SCIENCE & POLITICS
(2021)
Article
Psychology, Multidisciplinary
Will M. Gervais
Summary: In the face of challenges in psychological sciences, reforms and metascience movements are calling for more theoretical insights to address issues. Looking at modeling methods from the philosophy of science and cultural evolution can help in changing norms and institutions in the field.
PERSPECTIVES ON PSYCHOLOGICAL SCIENCE
(2021)
Article
Psychology, Multidisciplinary
Daniel Lakens
Summary: Due to the strong reliance on p values in scientific literature, some researchers argue for moving beyond p values and embracing practical alternatives. It is suggested that statisticians should teach researchers what questions they can ask rather than telling them what they want to know, and including minimum-effect tests and equivalence tests in statistical toolbox may greatly improve the questions researchers ask. Developing better evidence-based education and user-centered statistical software to prevent misinterpretation of p values is seen as a top priority.
PERSPECTIVES ON PSYCHOLOGICAL SCIENCE
(2021)
Article
Psychology, Multidisciplinary
Anne M. Scheel et al.
Summary: Before testing hypotheses, researchers should focus on developing concepts, establishing valid measures, identifying causal relationships and functional forms, as well as determining boundary conditions and auxiliary assumptions. Providing these inputs should be recognized as a crucial goal.
PERSPECTIVES ON PSYCHOLOGICAL SCIENCE
(2021)
Article
Computer Science, Interdisciplinary Applications
Sujin Choi
SOCIAL SCIENCE COMPUTER REVIEW
(2020)
Letter
Infectious Diseases
Ensheng Dong et al.
LANCET INFECTIOUS DISEASES
(2020)
Article
Multidisciplinary Sciences
Matthew J. Salganik et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2020)
Article
Multidisciplinary Sciences
Mayank Agrawal et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2020)
Article
Multidisciplinary Sciences
Rotem Botvinik-Nezer et al.
Article
Communication
Friederike Hendriks et al.
PUBLIC UNDERSTANDING OF SCIENCE
(2020)
Review
Health Care Sciences & Services
Evangelia Christodoulou et al.
JOURNAL OF CLINICAL EPIDEMIOLOGY
(2019)
Article
Multidisciplinary Sciences
Brian A. Nosek et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2018)
Article
Multidisciplinary Sciences
Julia Dressel et al.
Article
Sociology
Jeremy Freese et al.
SOCIOLOGICAL THEORY
(2018)
Article
Psychology
R. Silberzahn et al.
ADVANCES IN METHODS AND PRACTICES IN PSYCHOLOGICAL SCIENCE
(2018)
Article
Economics
Sendhil Mullainathan et al.
JOURNAL OF ECONOMIC PERSPECTIVES
(2017)
Article
Multidisciplinary Sciences
Alexander A. Aarts et al.
Article
Economics
Susan Athey et al.
QUARTERLY JOURNAL OF ECONOMICS
(2011)
Editorial Material
Multidisciplinary Sciences
David Lazer et al.