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  1. Towards Actionable Data Science: Domain Experts as End-Users of Data Science Systems

    As a wider range of organizations explore using data science systems, data science research has given growing attention to the role of domain...

    Ju Yeon Jung, Tom Steinberger, Chaehan So in Computer Supported Cooperative Work (CSCW)
    Article 15 July 2023
  2. Computer science and non-computer science faculty members’ perception on teaching data science via an experiential learning platform

    Artificial intelligence (AI) has been widely adopted in higher education. However, the current research on AI in higher education is limited lacking...

    Huan Chen, Ye Wang, ... Teryn Cha in Education and Information Technologies
    Article 12 October 2022
  3. Data Science

    It is notoriously difficult to define what data science is - even though a lot of people are talking/writing about it. Also, it...
    Bas van Gils in Data in Context
    Chapter 2023
  4. Responsible Data Science

    Data science has an increasing responsibility in society, which means it needs to consider more than just technical skills. Data scientists must...
    Laura Igual, Santi Seguí in Introduction to Data Science
    Chapter 2024
  5. Science, Technology and Society

    Science and technology have played a critical role in the advancement of society. Technology improved communication, transportation, and medicine,...
    Chapter 2024
  6. Data Science: Key Directions, Problems, and Perspectives

    Abstract—

    This article outlines the boundaries of data science in relation to artificial intelligence. It also describes the multidimensional...

    Article 01 December 2023
  7. Computational social science with confidence

    There is an ongoing shift in computational social science towards validating our methodologies and improving the reliability of our findings. This is...

    Carolina E. S. Mattsson in EPJ Data Science
    Article Open access 10 January 2024
  8. Computational social science is growing up: why puberty consists of embracing measurement validation, theory development, and open science practices

    Puberty is a phase in which individuals often test the boundaries of themselves and surrounding others and further define their identity – and thus...

    Timon Elmer in EPJ Data Science
    Article Open access 12 December 2023
  9. Data Science Thinking

    This chapter highlights the cognitive aspect of data science. It presents a variety of modes of thinking, which are associated with the different...
    Orit Hazzan, Koby Mike in Guide to Teaching Data Science
    Chapter 2023
  10. Do open science badges work? Estimating the effects of open science badges on an article’s social media attention and research impacts

    As a response to the replicability crisis, awarding open science badges was designed as an incentive for researchers to participate in open science...

    Qian** Zong, Zhihong Huang, Jiaru Huang in Scientometrics
    Article 10 May 2023
  11. Enabling Interdisciplinary Research in Open Science: Open Science Data Network

    The aim of Open Science is to open up data to enrich knowledge creation processes. At present, Open Science actors face problems when trying to find...
    Vincent-Nam Dang, Nathalie Aussenac-Gilles, ... Franck Ravat in Research Challenges in Information Science
    Conference paper 2024
  12. Applications of Origami Science

    This video segment presents applications of Origami science.
    Video segment 2024
  13. Tracking the featured topics of the International Science of Team Science conference series and their evolution during 2010–2019

    In this paper, we study how research topics and trends have evolved in the field of the science of team science (SciTS). Over the past 12 years, the...

    Ruinan Li, Raf Guns, ... Ying Huang in Scientometrics
    Article 11 February 2023
  14. Data Science for Social Science and Digital Humanities Research

    In this chapterDigital Humanities and in Chap. 20 , we focus on the third component of the MERge modelMERge...
    Orit Hazzan, Koby Mike in Guide to Teaching Data Science
    Chapter 2023
  15. Spatial Data Science

    Spatial data science is a multi-disciplinary field that applies scientific methods to acquire, store, and manage spatial data, as well as to retrieve...
    Yan Li, Yiqun **e, Shashi Shekhar in Machine Learning for Data Science Handbook
    Chapter 2023
  16. Fake Science – zwielichtige Wissenschaft

    Es gibt wohl kaum eine Manipulationsart, die insbesondere Wissenschaftler so empört oder berühren sollte wie Fake Science. Dies gilt nicht nur für...
    Chapter 2024
  17. Global science and the muslim world: overview of muslim-majority country contributions to global science

    Global science is pluralising. More nations increasingly contribute to scientific endeavours worldwide. Muslim-majority nations are no exception, but...

    Yusuf Ikbal Oldac in Scientometrics
    Article 28 September 2022
  18. What is Data Science?

    Although many attempts have been made to define data science, such a definition has not yet been reached. One reason for the difficulty to reach a...
    Orit Hazzan, Koby Mike in Guide to Teaching Data Science
    Chapter 2023
  19. The Science of Trust in Science: COVID-19 and Its Implications for “Trust”

    The COVID-19 pandemic has highlighted the issue of trust in science. The relationship between science and society in the context of the pandemic...
    F. Javier Jiménez-Loaisa, Diana Jareño-Ruiz, Pablo de-Gracia-Soriano in Research and Innovation Forum 2023
    Conference paper 2024
  20. The Data Science Workflow

    The examination of data science as aWorkflow workflowData science workflow is yet another facet of data science. In this chapter we elaborate on the...
    Orit Hazzan, Koby Mike in Guide to Teaching Data Science
    Chapter 2023
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