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Data Literacy

Let’s Create Some Groups

  • I need 6 domain recommendations.
  • We will Vote on 3 domains.
  • I need at least 3 people in each group.

Discuss Video:

  • What is Data Literacy?
  • data-literacy=(read, work with, analyze, argue with data)
    • Not Data science
  • Read Data:
    • Look at and comprehend.
  • Work with Data:
    • Being comfortable with information when presented.
  • Analyze Data:
    • Making an insight about the data to lead to smarter decision.
    • Being comfortable asking questions.
    • Question everything.
  • Argue with Data:
    • Interrogate what you are given.
    • Ability to put position forward and back up with information.
    • Make decision with data.

Example: Veo Kids’ Soccer Camera

  • Records and Analyzes kids soccer.
  • Interesting stats.
    • Rated top & average speed of players.
    • Rated distance covered.
    • Kept score automatically.
  • Problems with all three.
  • Veo soccer camera recorded my kids’ tournament.
  • Parents were oohing and awwing over the stats.
  • One kid had a top speed of 21.x mph. Another 19.7 mph.
  • There was also an unfortunate offside call that took away our team’s goal.
    • Multiple parents said, “See we are right. The computer calculated it as a goal.”
    • The computer set the score at 2-2.
    • Big problem. There was not kickoff after the score.
    • This is a major problem in the algorithm.
  • But I’m a computer analyst. I’ve worked with computer vision and machine learning.
  • We now have two major issues:
    • The computer did not recognize that there was a goal kick after the so-called “goal,” so it could not have been ruled a goal.
      • If the AI cannot recognize the goal kick how should we expect it to accurately recognize the offside situation?
    • 12 year olds do not run 21.x mph.
  • There are problems with the algorithm.
  • The algorithm is probably not calculating the size of the pitch properly.
  • The algorithm is not dealing with complex situations well.
  • More problematic was that the errors (think speed) were not applied consistently. Some kids had their top speeds calculated to 12 to 16 mph. Some kids had their top speeds calculated to 19 to 21 mph. The algorithm is not consistent.

Let’s Be Curious and Creative

  • Let’s represent some reality with data.
  • What is a challenging thing to represent with data?
  • How can we represent it?