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Data Science and the Epidemiology of COVID: Educating Youth through Out-of-School Programs

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ASTC - October 19, 2020

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Jan Mokros- Science Education Solutions

Andee Rubin - TERC

Jacob Sagrans - Science Education Solutions

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http://terc.edu/dataclubs

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Data Clubs overview

  • Data Clubs is a collaborative grant (NSF grants DRL-1742255 & 1741989) with primary partners TERC and Science Education Solutions and additional partners PERG, Gulf of Maine Research Institute, Oxford Hills School District, Malden, MA YMCA, and Girls, Inc.
    • Afterschool/summer camp materials, 10–12 hours per module
    • Participants entering 7th/8th grade (12–13 years old)
    • 3 modules, focusing on 3 different topics and & large publicly available data sets

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Data Clubs pedagogical foci

  • Appreciate the ubiquity of data and the potential for learning from data
  • Be aware of the complexities of measurement and view data through these complexities
  • Understand the case/attribute structure of data
  • Have experience with describing distributions and distributional shape
  • Have experience looking at relationships within a dataset by comparing distributions and by exploring relationships between attributes
  • Understand how data representations are constructed by mapping attribute values to representational elements, both on the computer and off

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COVID Data Clubs module

The Case of the COVID Crisis by Dr. Pendred Noyce: http://bit.ly/CCbookpurchase

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Link to sample facilitator guide: http://bit.ly/ASTC20DCCCchp2guide

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Mystery graphs

http://bit.ly/ASTC20DCmysterygraphs

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Worldometers

https://www.worldometers.info/coronavirus/

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Measurement issues crop up here!

Beware of changing definitions:

  • What counts as a “case” of COVID?
  • How are probable cases defined and recorded?
  • How do we know who died of COVID?

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Being a “data journalist”

Ask “who (both by whom and from whom), where, how, when, and why data were collected”

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Racial COVID-19 data

The COVID Tracking Project’s Racial Data Dashboard

https://covidtracking.com/race/dashboard

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Racial COVID data in CODAP

http://bit.ly/ASTC20DCracialdata

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More info on CODAP: https://codap.concord.org/

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Wrap up/resources

  • Resources handout: http://bit.ly/ASTC20DChandout
  • Pendred Noyce’s ASTC presentation, Wednesday, 1 pm, “A Novel Approach: Engaging Middle-Schoolers with COVID Through Data and Story” (Broadening Representation Flash Session)

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Thank you!

This project is funded by the National Science Foundation, grant nos. DRL-1742255 and 1741989. Any opinions, findings and conclusions or recommendations expressed in these materials are those of the authors and do not necessarily reflect the views of the National Science Foundation.

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