Has aGitHubFilters alot ofseawaterFliesdronesKnows amagictrickKnowswhat asundog isDogpersonIshungryright nowHasconsideredbecomingan astronautPlays amusicalinstrumentFREE!Has doneairbornescienceHas beenat sea for>1 weekPrefersto codein pythonHas beento theSouthernOceanDid fieldwork inthe lastyearWorkswithradarDoesnot likepizzaIs anatmosphericscientistWriteswikipediaarticlesHas beento theAtlanticOceanLovesaerosolsClimberDoesNOT liketo teachbut has toHas useda weatherballoonHas beenat sea for>1 weekMovedhousewithin thelast yearPrefersto codein RPlays amusicalinstrumentWorkswithcitizenscientistsHasa dogDoes alot ofoutreachDrove acar >1hour toget hereStarwarsfanFilters alot ofseawaterScubadivesHas beento aconcert inlast monthPrefers tocode inMATLABLives >2hoursdrive tothe oceanHasa catHas beento theArcticOceanKnows moreaboutpolarimetrythan owningthe sunglassesCan tell afield workdisasterstoryWorkswithlidarHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHas used asun-photometerHas beento thePacificOceanDoes adistancesportSpeaks>2languagesHasinteractedwith a CTD-RosetteFlewhere ona planeDoeslakescienceModelsHas workedin a cleanlab (on landor on a ship)Has aGitHubFilters alot ofseawaterFliesdronesKnows amagictrickKnowswhat asundog isDogpersonIshungryright nowHasconsideredbecomingan astronautPlays amusicalinstrumentFREE!Has doneairbornescienceHas beenat sea for>1 weekPrefersto codein pythonHas beento theSouthernOceanDid fieldwork inthe lastyearWorkswithradarDoesnot likepizzaIs anatmosphericscientistWriteswikipediaarticlesHas beento theAtlanticOceanLovesaerosolsClimberDoesNOT liketo teachbut has toHas useda weatherballoonHas beenat sea for>1 weekMovedhousewithin thelast yearPrefersto codein RPlays amusicalinstrumentWorkswithcitizenscientistsHasa dogDoes alot ofoutreachDrove acar >1hour toget hereStarwarsfanFilters alot ofseawaterScubadivesHas beento aconcert inlast monthPrefers tocode inMATLABLives >2hoursdrive tothe oceanHasa catHas beento theArcticOceanKnows moreaboutpolarimetrythan owningthe sunglassesCan tell afield workdisasterstoryWorkswithlidarHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHas used asun-photometerHas beento thePacificOceanDoes adistancesportSpeaks>2languagesHasinteractedwith a CTD-RosetteFlewhere ona planeDoeslakescienceModelsHas workedin a cleanlab (on landor on a ship)

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