Has beento theArcticOceanHas beento aconcert inlast monthFlew aninstrumenton ER-2Has beento thePacificOceanIshungryright nowknows 3TaylorSwiftsongsModels(data orfashion)Hasconsideredbecomingan astronautDoesnot likepizzaSpeaks>2languagesHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHas doneairbornesciencePrefersto codein pythonLives >2hoursdrive tothe oceanPrefersto codein RDid fieldwork inthe lastyearDogpersonHas beenat sea for>1 weekDoes adistancesportHas beento theAtlanticOceanKnows moreaboutpolarimetrythan owningthe sunglassesKnows amagictrickWorkswithcitizenscientistsIs anatmosphericscientistMovedhousewithin thelast yearHas used asun-photometerFliesdronesLovesaerosolsDoesNOT liketo teachbut has toBrewsbeerHasa catScubadivesDoeslakescienceWorkswithlidarWriteswikipediaarticlesDrove acar >1hour toget hereHas useda weatherballoonHas beenat sea for>1 weekHas aparrotHas beento theSouthernOceanDoes alot ofoutreachKnowswhat asundog isLovesrainbowunicornsHas workedin a cleanlab (on landor on a ship)Filters alot ofseawaterPrefers tocode inMATLABFlewhere ona planeCan tell afield workdisasterstoryPlays amusicalinstrumentHasinteractedwith a CTD-RosetteHas aGitHubClimberStarwarsfanPlays amusicalinstrumentHas beento theArcticOceanHas beento aconcert inlast monthFlew aninstrumenton ER-2Has beento thePacificOceanIshungryright nowknows 3TaylorSwiftsongsModels(data orfashion)Hasconsideredbecomingan astronautDoesnot likepizzaSpeaks>2languagesHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHas doneairbornesciencePrefersto codein pythonLives >2hoursdrive tothe oceanPrefersto codein RDid fieldwork inthe lastyearDogpersonHas beenat sea for>1 weekDoes adistancesportHas beento theAtlanticOceanKnows moreaboutpolarimetrythan owningthe sunglassesKnows amagictrickWorkswithcitizenscientistsIs anatmosphericscientistMovedhousewithin thelast yearHas used asun-photometerFliesdronesLovesaerosolsDoesNOT liketo teachbut has toBrewsbeerHasa catScubadivesDoeslakescienceWorkswithlidarWriteswikipediaarticlesDrove acar >1hour toget hereHas useda weatherballoonHas beenat sea for>1 weekHas aparrotHas beento theSouthernOceanDoes alot ofoutreachKnowswhat asundog isLovesrainbowunicornsHas workedin a cleanlab (on landor on a ship)Filters alot ofseawaterPrefers tocode inMATLABFlewhere ona planeCan tell afield workdisasterstoryPlays amusicalinstrumentHasinteractedwith a CTD-RosetteHas aGitHubClimberStarwarsfanPlays amusicalinstrument

Human Bingo: Find someone who... - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Has been to the Arctic Ocean
  2. Has been to a concert in last month
  3. Flew an instrument on ER-2
  4. Has been to the Pacific Ocean
  5. Is hungry right now
  6. knows 3 Taylor Swift songs
  7. Models (data or fashion)
  8. Has considered becoming an astronaut
  9. Does not like pizza
  10. Speaks >2 languages
  11. Has called into a PACE Science & Applications Team (SAT) Meeting
  12. Has done airborne science
  13. Prefers to code in python
  14. Lives >2 hours drive to the ocean
  15. Prefers to code in R
  16. Did field work in the last year
  17. Dog person
  18. Has been at sea for >1 week
  19. Does a distance sport
  20. Has been to the Atlantic Ocean
  21. Knows more about polarimetry than owning the sunglasses
  22. Knows a magic trick
  23. Works with citizen scientists
  24. Is an atmospheric scientist
  25. Moved house within the last year
  26. Has used a sun-photometer
  27. Flies drones
  28. Loves aerosols
  29. Does NOT like to teach but has to
  30. Brews beer
  31. Has a cat
  32. Scuba dives
  33. Does lake science
  34. Works with lidar
  35. Writes wikipedia articles
  36. Drove a car >1 hour to get here
  37. Has used a weather balloon
  38. Has been at sea for >1 week
  39. Has a parrot
  40. Has been to the Southern Ocean
  41. Does a lot of outreach
  42. Knows what a sundog is
  43. Loves rainbow unicorns
  44. Has worked in a clean lab (on land or on a ship)
  45. Filters a lot of seawater
  46. Prefers to code in MATLAB
  47. Flew here on a plane
  48. Can tell a field work disaster story
  49. Plays a musical instrument
  50. Has interacted with a CTD-Rosette
  51. Has a GitHub
  52. Climber
  53. Star wars fan
  54. Plays a musical instrument