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Data Literacy in the Real World: Conversations & Case Studies

Debbie Abilock; Susan D. Ballard; Tasha Bergson-Michelson; Jennifer Colby; Catherine D’Ignazio; Kristin Fontichiaro; Lynette Hoelter; Tyler Hoff; Kelly Hovinga; Justin Joque; Amy Lennex; Jo Angela Oehrli; Justin Schell; Jole Seroff; Susan Smith; Tierney Steelberg; Wendy Steadman Stephens; Martha Stuit; Samantha “Sam” Viotty; Connie Williams; Edited by Kristin Fontichiaro, Amy Lennex, Tyler Hoff, Kelly Hovinga, and Jo Angela Oehrli

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DOI: http://dx.doi.org/10.3998/mpub.9970368

Published by: Ann Arbor, MI: Michigan Publishing, University of Michigan Library, 2017.

  

Permissions: This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States License. Please contact [email protected] to use this work in a way not covered by the license.

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Table of Contents

• Introduction
• PART I  WEBINARS
  • A.“But it’s a number, so it has to be true!”: An introduction to data literacy, Part I — Presented by Lynette Hoelter
  • B. “But it’s a number, so it has to be true!”: An introduction to data literacy, Part II — Presented by Lynette Hoelter
  • C. Where the rubber meets the road: Data literacy in the content areas — Presented by Jennifer Colby
  • D. Information literacy includes data literacy! — Presented by Jole Seroff
  • E. Close reading: Unpacking the impact language has on how we understand statistics — Presented by Tasha Bergson-Michelson
  • F. Real world data fluency: How to use raw data — Presented by Wendy Steadman Stephens
  • G. Gathering data via action research: A plan for librarians, classroom teachers, and students — Presented by Susan D. Ballard
  • H. Data literacy and voting — Presented by Martha Stuit
  • I. Making sense of data visualization — Presented by Justin Joque
  • J. DataBasic.io: Tools & activities that help introduce newcomers to data storytelling — Presented by Catherine D’Ignazio and Samantha Viotty
  • K. Data presentation: Showcasing your data with charts and graphs — Presented by Tierney Steelberg
  • L. Using Social Explorer to help students gain insight — Presented by Justin Joque
  • M. Infographics: An instructional lens — Presented by Debbie Abilock, Susan Smith, and Connie Williams
  • N. Tools for preserving your personal and intellectual privacy — Presented by Wendy Steadman Stephens
  • O. Big Data and you: Normalizing the practices of privacy — Presented by Jole Seroff
  • P. The right to obscurity vs. the digital Eye of Sauron — Presented by Susan D. Ballard
  • Q. Student data privacy: Protecting the personal information that informs instruction — Presented by Jennifer Colby
  • R. DataRefuge: Preserving data and growing literacy — Presented by Justin Schell
  • S. Science in the wild: How to make the most of citizen science projects at your school — Presented by Debbie Abilock, Susan Smith, and Connie Williams
• PART II  CASE STUDIES
• PERSONAL DATA MANAGEMENT
  • 1. Your presence on social media — Jennifer Colby
  • 2. Tracking student physical activity in school — Tyler Hoff
  • 3. Amazon Echo Look — Tasha Bergson-Michelson and Kristin Fontichiaro
  • 4. Smart home devices in court — Tyler Hoff
  • 5. DNA mapping — Tasha Bergson-Michelson
  • 6. When insurance gives you a fitness tracker — Wendy Steadman Stephens
  • 7. Hiding from digital marketing — Wendy Steadman Stephens
  • 8. ISP consumer data collection — Tyler Hoff
  • 9. Encrypted data, privacy, and government access — Jole Seroff
  • 10. Protecting your rights through civic engagement — Tasha Bergson-Michelson
  • 11. What is a reasonable expectation of privacy? — Jole Seroff
  • 12. Intergenerational differences and data privacy: Generational shift or developmental stage? — Susan Smith
  • 13. Comparing United States and European Union approaches to privacy — Jole Seroff
  • 14. Be strategic! Reading and understanding terms of service and privacy policies — Tasha Bergson-Michelson
  • 15. What does Cambridge Analytica have about you? — Wendy Steadman Stephens
• CITIZEN SCIENCE
  • 1. Scientists and citizen scientists: Cooperation and reservations — Kelly Hovinga
  • 2. Candy Crush and Zooniverse: The psychology of citizen science — Kelly Hovinga
  • 3. Citizen science techniques to uncover insights in the humanities — Connie Williams
  • 4. Tour of the Leafsnap leaf identification app — Wendy Steadman Stephens
  • 5. Habitat Network:  Learning about and managing the landscape we share — Susan D. Ballard
  • 6. Smithsonian Institution Transcription Center — Tyler Hoff
  • 7. Where does federal data go? — Connie Williams
  • 8. Native knowledge meets scientific knowledge through citizen science — Connie Williams
  • Bonus feature: Choosing a citizen science project for your classroom — Susan Smith, with Connie Williams, and Debbie Abilock
• BIG DATA
  • 1. Unroll.me email tracking and data sale — Tyler Hoff
  • 2. Big Data and discrimination — Jo Angela Oehrli
  • 3. Television sets collecting data without notifying consumers — Jole Seroff
  • 4. Big Data and self-driving trucks — Debbie Abilock
  • 5. Predictive policing: The seduction of technology — Susan Smith
  • 6. Big Data in banking and loans — Kelly Hovinga
  • 7. Bias in student predictive analytics data:  Does it help or hinder potential prospects/relationships? — Susan D. Ballard
  • 8. Cross conversion tracking: Linking in-store purchases with online ads — Kelly Hovinga
  • 9. The ethics of Mechanical Turk — Wendy Steadman Stephens
  • 10. The dark side of data: Using data as a means of stalking, surveilling, or preying on vulnerable populations — Susan D. Ballard
• ETHICAL DATA USE
  • 1. The personal information you are giving away — Jennifer Colby
  • 2. Protecting student data in schools — Jennifer Colby
  • 3. SAT and ACT information: What happens to it? — Jennifer Colby
  • 4. Surveillance cameras in schools and the case of special education — Susan Smith
  • 5. Student privacy in the age of cloud storage — Susan Smith
  • 6. Big Data and government nudges — Debbie Abilock
  • 7. The fear factor: Hyped-up use of data to sway public opinion/behavior — Susan D. Ballard
  • 8. Those smart devices are smarter than you think — Jennifer Colby
  • 9. Canaries in the mine: Chicago and Flint — haves vs. have-nots in use of data — Susan D. Ballard
  • 10. The implications of privacy regulation on Internet privacy — Tyler Hoff
  • 11. Data philanthropy — Tasha Bergson-Michelson
• Appendix A: Data literacy rules of thumb
• Data literacy-related standards
• Creating Data Literate Students
• Contributors

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