full transcript
"From the Ted Talk by Washington Wachira: For the love of birds"

Unscramble the Blue Letters

But when we started, there was a big challenge. We reecvied many complaints from bird-watchers, and they will say, "I'm in a valigle, and I cannot access a computer. How do I tell you what birds live in my home, or where I school, or where I work?" So we were forced to renovate our strategy and come up with a sustainable solution. It was easy: we immediately realized that mobile phones were becoming increasingly common in aifrca and most of the regions could get accses to one. So we came up with mobile phone ataoppcinils that you can use on your iPhone and on your Android phone, and we made them freely available for every bird-watching enthusiast out there. So we came up with BirdLasser, which is used by the Kenya Bird Map, and also we have the African Raptor Observations, which is now used by the arfcain Raptor DataBank. This was a huge breakthrough in our work and it made us get enuoroms amounts of data from every birder out there in the regions. With this, we realized that citizen sccneie is indeed very powerful, the reason being, citizen science is adaptive. And we were able to actually convert many bird-watchers to sartt siharng new information with us.

Open Cloze

But when we started, there was a big challenge. We ________ many complaints from bird-watchers, and they will say, "I'm in a _______, and I cannot access a computer. How do I tell you what birds live in my home, or where I school, or where I work?" So we were forced to renovate our strategy and come up with a sustainable solution. It was easy: we immediately realized that mobile phones were becoming increasingly common in ______ and most of the regions could get ______ to one. So we came up with mobile phone ____________ that you can use on your iPhone and on your Android phone, and we made them freely available for every bird-watching enthusiast out there. So we came up with BirdLasser, which is used by the Kenya Bird Map, and also we have the African Raptor Observations, which is now used by the _______ Raptor DataBank. This was a huge breakthrough in our work and it made us get ________ amounts of data from every birder out there in the regions. With this, we realized that citizen _______ is indeed very powerful, the reason being, citizen science is adaptive. And we were able to actually convert many bird-watchers to _____ _______ new information with us.

Solution

  1. received
  2. start
  3. african
  4. applications
  5. access
  6. enormous
  7. science
  8. africa
  9. village
  10. sharing

Original Text

But when we started, there was a big challenge. We received many complaints from bird-watchers, and they will say, "I'm in a village, and I cannot access a computer. How do I tell you what birds live in my home, or where I school, or where I work?" So we were forced to renovate our strategy and come up with a sustainable solution. It was easy: we immediately realized that mobile phones were becoming increasingly common in Africa and most of the regions could get access to one. So we came up with mobile phone applications that you can use on your iPhone and on your Android phone, and we made them freely available for every bird-watching enthusiast out there. So we came up with BirdLasser, which is used by the Kenya Bird Map, and also we have the African Raptor Observations, which is now used by the African Raptor DataBank. This was a huge breakthrough in our work and it made us get enormous amounts of data from every birder out there in the regions. With this, we realized that citizen science is indeed very powerful, the reason being, citizen science is adaptive. And we were able to actually convert many bird-watchers to start sharing new information with us.

ngrams of length 2

collocation frequency
citizen science 4
high school 3
beautiful birds 3
bird watchers 3

Important Words

  1. access
  2. adaptive
  3. africa
  4. african
  5. amounts
  6. android
  7. applications
  8. big
  9. bird
  10. birder
  11. birdlasser
  12. birds
  13. breakthrough
  14. challenge
  15. citizen
  16. common
  17. complaints
  18. computer
  19. convert
  20. data
  21. databank
  22. enormous
  23. enthusiast
  24. forced
  25. freely
  26. home
  27. huge
  28. immediately
  29. increasingly
  30. information
  31. iphone
  32. kenya
  33. live
  34. map
  35. mobile
  36. observations
  37. phone
  38. phones
  39. powerful
  40. raptor
  41. realized
  42. reason
  43. received
  44. regions
  45. renovate
  46. school
  47. science
  48. sharing
  49. solution
  50. start
  51. started
  52. strategy
  53. sustainable
  54. village
  55. work