ModelsHas beento theAtlanticOceanFilters alot ofseawaterDoesNOT liketo teachbut has toDid fieldwork inthe lastyearDrove acar >1hour toget hereHas beento theArcticOceanDoesnot likepizzaPrefersto codein RKnows moreaboutpolarimetrythan owningthe sunglassesWorkswithcitizenscientistsDoes alot ofoutreachHas used asun-photometerFlewhere ona planeHas workedin a cleanlab (on landor on a ship)Does adistancesportHas beenat sea for>1 weekFREE!Hasa catLives >2hoursdrive tothe oceanDogpersonScubadivesCan tell afield workdisasterstoryPrefers tocode inMATLABPlays amusicalinstrumentDoeslakescienceFliesdronesPrefersto codein pythonHas aGitHubIshungryright nowStarwarsfanIs anatmosphericscientistWriteswikipediaarticlesClimberWorkswithlidarLovesaerosolsFilters alot ofseawaterHasinteractedwith a CTD-RosetteHas beento theSouthernOceanHasconsideredbecomingan astronautHas doneairbornescienceHasa dogHas useda weatherballoonSpeaks>2languagesPlays amusicalinstrumentHas beento thePacificOceanWorkswithradarKnows amagictrickHas beenat sea for>1 weekHas beento aconcert inlast monthMovedhousewithin thelast yearHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingKnowswhat asundog isModelsHas beento theAtlanticOceanFilters alot ofseawaterDoesNOT liketo teachbut has toDid fieldwork inthe lastyearDrove acar >1hour toget hereHas beento theArcticOceanDoesnot likepizzaPrefersto codein RKnows moreaboutpolarimetrythan owningthe sunglassesWorkswithcitizenscientistsDoes alot ofoutreachHas used asun-photometerFlewhere ona planeHas workedin a cleanlab (on landor on a ship)Does adistancesportHas beenat sea for>1 weekFREE!Hasa catLives >2hoursdrive tothe oceanDogpersonScubadivesCan tell afield workdisasterstoryPrefers tocode inMATLABPlays amusicalinstrumentDoeslakescienceFliesdronesPrefersto codein pythonHas aGitHubIshungryright nowStarwarsfanIs anatmosphericscientistWriteswikipediaarticlesClimberWorkswithlidarLovesaerosolsFilters alot ofseawaterHasinteractedwith a CTD-RosetteHas beento theSouthernOceanHasconsideredbecomingan astronautHas doneairbornescienceHasa dogHas useda weatherballoonSpeaks>2languagesPlays amusicalinstrumentHas beento thePacificOceanWorkswithradarKnows amagictrickHas beenat sea for>1 weekHas beento aconcert inlast monthMovedhousewithin thelast yearHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingKnowswhat asundog is

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