Does adistancesportFliesdronesScubadivesPrefersto codein pythonHas beenat sea for>1 weekDoeslakescienceWorkswithradarHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingSpeaks>2languagesKnows amagictrickHas used asun-photometerFilters alot ofseawaterWriteswikipediaarticlesMovedhousewithin thelast yearPrefersto codein RClimberKnowswhat asundog isIs anatmosphericscientistFlewhere ona planeHas beento aconcert inlast monthHas aGitHubCan tell afield workdisasterstoryDrove acar >1hour toget hereDogpersonIshungryright nowDid fieldwork inthe lastyearFREE!Has beento theSouthernOceanWorkswithlidarPrefers tocode inMATLABHas doneairbornescienceModelsHas beento theArcticOceanKnows moreaboutpolarimetrythan owningthe sunglassesStarwarsfanPlays amusicalinstrumentHas beento theAtlanticOceanLives >2hoursdrive tothe oceanPlays amusicalinstrumentDoesnot likepizzaFilters alot ofseawaterHasconsideredbecomingan astronautLovesaerosolsHas beento thePacificOceanDoesNOT liketo teachbut has toHas beenat sea for>1 weekDoes alot ofoutreachHas useda weatherballoonHas workedin a cleanlab (on landor on a ship)Hasa dogHasinteractedwith a CTD-RosetteWorkswithcitizenscientistsHasa catDoes adistancesportFliesdronesScubadivesPrefersto codein pythonHas beenat sea for>1 weekDoeslakescienceWorkswithradarHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingSpeaks>2languagesKnows amagictrickHas used asun-photometerFilters alot ofseawaterWriteswikipediaarticlesMovedhousewithin thelast yearPrefersto codein RClimberKnowswhat asundog isIs anatmosphericscientistFlewhere ona planeHas beento aconcert inlast monthHas aGitHubCan tell afield workdisasterstoryDrove acar >1hour toget hereDogpersonIshungryright nowDid fieldwork inthe lastyearFREE!Has beento theSouthernOceanWorkswithlidarPrefers tocode inMATLABHas doneairbornescienceModelsHas beento theArcticOceanKnows moreaboutpolarimetrythan owningthe sunglassesStarwarsfanPlays amusicalinstrumentHas beento theAtlanticOceanLives >2hoursdrive tothe oceanPlays amusicalinstrumentDoesnot likepizzaFilters alot ofseawaterHasconsideredbecomingan astronautLovesaerosolsHas beento thePacificOceanDoesNOT liketo teachbut has toHas beenat sea for>1 weekDoes alot ofoutreachHas useda weatherballoonHas workedin a cleanlab (on landor on a ship)Hasa dogHasinteractedwith a CTD-RosetteWorkswithcitizenscientistsHasa cat

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