full transcript

From the Ted Talk by Susan Etlinger: What do we do with all this big data?

Unscramble the Blue Letters

But it doesn't have to be this way. We are not passive consumers of data and technology. We sahpe the role it plays in our leivs and the way we make meaning from it, but to do that, we have to pay as much attention to how we think as how we code. We have to ask questions, and hard qeniutsos, to move past counting things to uatdendsinrng them. We're constantly bombarded with stories about how much data there is in the world, but when it comes to big data and the challenges of interpreting it, size isn't everything. There's also the seepd at which it moves, and the many varieties of data tepys, and here are just a few examples: images, text, video, audio. And what unites this disparate types of data is that they're created by people and they require context.

Open Cloze

But it doesn't have to be this way. We are not passive consumers of data and technology. We _____ the role it plays in our _____ and the way we make meaning from it, but to do that, we have to pay as much attention to how we think as how we code. We have to ask questions, and hard _________, to move past counting things to _____________ them. We're constantly bombarded with stories about how much data there is in the world, but when it comes to big data and the challenges of interpreting it, size isn't everything. There's also the _____ at which it moves, and the many varieties of data _____, and here are just a few examples: images, text, video, audio. And what unites this disparate types of data is that they're created by people and they require context.

Solution

  1. types
  2. questions
  3. lives
  4. speed
  5. understanding
  6. shape

Original Text

But it doesn't have to be this way. We are not passive consumers of data and technology. We shape the role it plays in our lives and the way we make meaning from it, but to do that, we have to pay as much attention to how we think as how we code. We have to ask questions, and hard questions, to move past counting things to understanding them. We're constantly bombarded with stories about how much data there is in the world, but when it comes to big data and the challenges of interpreting it, size isn't everything. There's also the speed at which it moves, and the many varieties of data types, and here are just a few examples: images, text, video, audio. And what unites this disparate types of data is that they're created by people and they require context.

Frequently Occurring Word Combinations

ngrams of length 2

collocation frequency
health media 4
people talk 3
orwell feared 2
huxley feared 2
big brother 2
big data 2
critical thinking 2

Important Words

  1. attention
  2. audio
  3. big
  4. bombarded
  5. challenges
  6. code
  7. constantly
  8. consumers
  9. context
  10. counting
  11. created
  12. data
  13. disparate
  14. hard
  15. images
  16. interpreting
  17. lives
  18. meaning
  19. move
  20. moves
  21. passive
  22. pay
  23. people
  24. plays
  25. questions
  26. require
  27. role
  28. shape
  29. size
  30. speed
  31. stories
  32. technology
  33. text
  34. types
  35. understanding
  36. unites
  37. varieties
  38. video
  39. world