Is anatmosphericscientistClimberDoeslakescienceWorkswithradarModels(data orfashion)Has workedin a cleanlab (on landor on a ship)Has aGitHubWorkswithlidarHas beento theAtlanticOceanDoesnot likepizzaHas doneairbornescienceDoes alot ofoutreachHas beenat sea for>1 weekMovedhousewithin thelast yearDoes adistancesportFlewhere ona planeWorkswithcitizenscientistsKnows moreaboutpolarimetrythan owningthe sunglassesPlays amusicalinstrumentHas useda weatherballoonCan tell afield workdisasterstoryIshungryright nowFliesdronesHas beento theArcticOceanKnows amagictrickPrefers tocode inMATLABHas beento aconcert inlast monthLives >2hoursdrive tothe oceanDoesNOT liketo teachbut has toKnowswhat asundog isDid fieldwork inthe lastyearSpeaks>2languagesHas beento theSouthernOceanFilters alot ofseawaterPrefersto codein RWriteswikipediaarticlesHasa dogScubadivesHasconsideredbecomingan astronautDogpersonHasa catFilters alot ofseawaterHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingDrove acar >1hour toget hereHas used asun-photometerLovesaerosolsPrefersto codein pythonHasinteractedwith a CTD-RosettePlays amusicalinstrumentknows 3TaylorSwiftsongsStarwarsfanHas beenat sea for>1 weekHas beento thePacificOceanIs anatmosphericscientistClimberDoeslakescienceWorkswithradarModels(data orfashion)Has workedin a cleanlab (on landor on a ship)Has aGitHubWorkswithlidarHas beento theAtlanticOceanDoesnot likepizzaHas doneairbornescienceDoes alot ofoutreachHas beenat sea for>1 weekMovedhousewithin thelast yearDoes adistancesportFlewhere ona planeWorkswithcitizenscientistsKnows moreaboutpolarimetrythan owningthe sunglassesPlays amusicalinstrumentHas useda weatherballoonCan tell afield workdisasterstoryIshungryright nowFliesdronesHas beento theArcticOceanKnows amagictrickPrefers tocode inMATLABHas beento aconcert inlast monthLives >2hoursdrive tothe oceanDoesNOT liketo teachbut has toKnowswhat asundog isDid fieldwork inthe lastyearSpeaks>2languagesHas beento theSouthernOceanFilters alot ofseawaterPrefersto codein RWriteswikipediaarticlesHasa dogScubadivesHasconsideredbecomingan astronautDogpersonHasa catFilters alot ofseawaterHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingDrove acar >1hour toget hereHas used asun-photometerLovesaerosolsPrefersto codein pythonHasinteractedwith a CTD-RosettePlays amusicalinstrumentknows 3TaylorSwiftsongsStarwarsfanHas beenat sea for>1 weekHas beento thePacificOcean

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