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Applied Data Science

Data Translators Across the Disciplines

  • Book
  • © 2023

Overview

Editors:
  1. Douglas G. Woolford

    1. Department of Statistical and Actuarial Sciences, University of Western Ontario, London, Canada

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    You can also search for this editor in PubMed   Google Scholar

  2. Donna Kotsopoulos

    1. Faculty of Education, University of Western Ontario, London, Canada

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    You can also search for this editor in PubMed   Google Scholar

  3. Boba Samuels

    1. Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, Canada

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Explores data science across disciplines to illustrate the applications in disciplinary context
  • Focuses on effective application and communication as case studies
  • Highlight how data is used within a discipline but also the way in which data is translated to inform discipline

Part of the book series: Studies in Big Data (SBD, volume 125)

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About this book

The use of data to guide action is growing. Even the public uses data to guide everyday decisions! How do we develop data acumen across a broad range of fields and varying levels of expertise? How do we foster the development of effective data translators? This book explores these questions, presenting an interdisciplinary collection of edited contributions across fields such as education, health sciences, natural sciences, politics, economics, business and management studies, social sciences, and humanities. Authors illustrate how to use data within a discipline, including visualization and analysis, translating and communicating results, and pedagogical considerations. This book is of interest to scholars and anyone looking to understand the use of data science across disciplines. It is ideal in a course for non-data science majors exploring how data translation occurs in various contexts and for professionals looking to engage in roles requiring data translation.



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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Translating Science into Actionable Policy Information—A Perspective on the Intergovernmental Panel on Climate Change Process

    • Francis W. Zwiers, Xuebin Zhang
    Pages 1-12

  3. Data in Observational Astronomy

    • Pauline Barmby, Samantha Wong
    Pages 13-26

  4. Beyond Translation: An Overview of Best Practices for Evidence-Informed Decision Making for Public Health Practice

    • D. L. Schanzer, J. Arino, A. Asgary, N. L. Bragazzi, J. M. Heffernan, B. T. Seet et al.
    Pages 27-39

  5. Concern for Self-Health During the COVID-19 Pandemic in Canada: How to Tell an Intersectional Story Using Quantitative Data?

    • Laila Rahman
    Pages 41-53

  6. Community-Based Participatory Research and Respondent-Driven Sampling: A Statistician’s, Community Partner’s and Students’ Perspectives on a Successful Partnership

    • M. A. Rotondi, D. Jubinville, S. McConkey, O. Wong, L. Avery, C. Bourgeois et al.
    Pages 55-67

  7. Operationalizing Learning Processes Through Learning Analytics

    • Alexandra Patzak, Jovita Vytasek
    Pages 69-81

  8. Improving Data Literacy in Management Education Through Experiential Learning: A Demonstration Using Tableau Software

    • Aria Teimourzadeh, Samaneh Kakavand
    Pages 83-99

  9. Understanding Players and Play Through Game Analytics

    • Jonathan Tan, Mike Katchabaw, Damir Slogar
    Pages 101-115

  10. Language Corpora and Principal Components Analysis

    • Leslie Redmond, Denis Foucambert, Lucie Libersan
    Pages 117-132

  11. A Tutorial of Analyzing Accuracy in Conceptual Change

    • Lin Li
    Pages 133-145

  12. Transforming Data on the Boundaries of Science and Policy: The Council of Canadian Academies’ Rhetorical Repertoire

    • Matthew A. Falconer
    Pages 147-164

  13. A Conceptual Framework for Knowledge Exchange in a Wildland Fire Research and Practice Context

    • Colin B. McFayden, Lynn M. Johnston, Douglas G. Woolford, Colleen George, Den Boychuk, Daniel Johnston et al.
    Pages 165-184

  14. Pedagogical and Future Implications for the Training of Data Translators

    • Boba Samuels, Donna Kotsopoulos, Douglas G. Woolford
    Pages 185-190
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Editors and Affiliations

  • Department of Statistical and Actuarial Sciences, University of Western Ontario, London, Canada

    Douglas G. Woolford

  • Faculty of Education, University of Western Ontario, London, Canada

    Donna Kotsopoulos

  • Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, Canada

    Boba Samuels

Bibliographic Information

  • Book Title: Applied Data Science

  • Book Subtitle: Data Translators Across the Disciplines

  • Editors: Douglas G. Woolford, Donna Kotsopoulos, Boba Samuels

  • Series Title: Studies in Big Data

  • DOI: https://doi.org/10.1007/978-3-031-29937-7

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Hardcover ISBN: 978-3-031-29936-0Published: 11 May 2023

  • Softcover ISBN: 978-3-031-29939-1Published: 12 May 2024

  • eBook ISBN: 978-3-031-29937-7Published: 09 May 2023

  • Series ISSN: 2197-6503

  • Series E-ISSN: 2197-6511

  • Edition Number: 1

  • Number of Pages: XII, 190

  • Number of Illustrations: 8 b/w illustrations, 43 illustrations in colour

  • Topics: Data Engineering, Computational Intelligence, Big Data

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