Has beento theAtlanticOceanWorkswithlidarknows 3TaylorSwiftsongsMovedhousewithin thelast yearHas doneairbornescienceDoes adistancesportHas beenat sea for>1 weekScubadivesWriteswikipediaarticlesWorkswithradarIshungryright nowDoeslakescienceDoesnot likepizzaDrove acar >1hour toget hereFilters alot ofseawaterHas useda weatherballoonPrefersto codein RHas beenat sea for>1 weekSpeaks>2languagesWorkswithcitizenscientistsCan tell afield workdisasterstoryHasa catKnowswhat asundog isFlewhere ona planeLovesaerosolsPrefersto codein pythonHas beento theArcticOceanDoesNOT liketo teachbut has toHas beento theSouthernOceanPrefers tocode inMATLABDid fieldwork inthe lastyearDoes alot ofoutreachFliesdronesDogpersonKnows moreaboutpolarimetrythan owningthe sunglassesHas used asun-photometerHasconsideredbecomingan astronautLives >2hoursdrive tothe oceanHas workedin a cleanlab (on landor on a ship)ClimberPlays amusicalinstrumentHas beento aconcert inlast monthHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingPlays amusicalinstrumentHas beento thePacificOceanHasinteractedwith a CTD-RosetteStarwarsfanKnows amagictrickHas aGitHubModels(data orfashion)Filters alot ofseawaterHasa dogIs anatmosphericscientistHas beento theAtlanticOceanWorkswithlidarknows 3TaylorSwiftsongsMovedhousewithin thelast yearHas doneairbornescienceDoes adistancesportHas beenat sea for>1 weekScubadivesWriteswikipediaarticlesWorkswithradarIshungryright nowDoeslakescienceDoesnot likepizzaDrove acar >1hour toget hereFilters alot ofseawaterHas useda weatherballoonPrefersto codein RHas beenat sea for>1 weekSpeaks>2languagesWorkswithcitizenscientistsCan tell afield workdisasterstoryHasa catKnowswhat asundog isFlewhere ona planeLovesaerosolsPrefersto codein pythonHas beento theArcticOceanDoesNOT liketo teachbut has toHas beento theSouthernOceanPrefers tocode inMATLABDid fieldwork inthe lastyearDoes alot ofoutreachFliesdronesDogpersonKnows moreaboutpolarimetrythan owningthe sunglassesHas used asun-photometerHasconsideredbecomingan astronautLives >2hoursdrive tothe oceanHas workedin a cleanlab (on landor on a ship)ClimberPlays amusicalinstrumentHas beento aconcert inlast monthHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingPlays amusicalinstrumentHas beento thePacificOceanHasinteractedwith a CTD-RosetteStarwarsfanKnows amagictrickHas aGitHubModels(data orfashion)Filters alot ofseawaterHasa dogIs anatmosphericscientist

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