Is anatmosphericscientistWorkswithradarHasa dogMovedhousewithin thelast yearDid fieldwork inthe lastyearDoesNOT liketo teachbut has toPrefersto codein RLives >2hoursdrive tothe oceanWorkswithlidarPrefersto codein pythonFilters alot ofseawaterKnowswhat asundog isFilters alot ofseawaterLovesaerosolsWriteswikipediaarticlesFREE!Has beenat sea for>1 weekHasa catHas beento theSouthernOceanStarwarsfanModelsHas beento theArcticOceanPlays amusicalinstrumentCan tell afield workdisasterstoryDoeslakescienceSpeaks>2languagesHas beento thePacificOceanHas useda weatherballoonKnows amagictrickHas beento theAtlanticOceanKnows moreaboutpolarimetrythan owningthe sunglassesHasinteractedwith a CTD-RosettePlays amusicalinstrumentDrove acar >1hour toget hereHas workedin a cleanlab (on landor on a ship)Prefers tocode inMATLABHas doneairbornescienceFliesdronesDogpersonHasconsideredbecomingan astronautClimberScubadivesHas aGitHubIshungryright nowWorkswithcitizenscientistsDoes alot ofoutreachHas used asun-photometerHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingFlewhere ona planeHas beento aconcert inlast monthDoes adistancesportHas beenat sea for>1 weekDoesnot likepizzaIs anatmosphericscientistWorkswithradarHasa dogMovedhousewithin thelast yearDid fieldwork inthe lastyearDoesNOT liketo teachbut has toPrefersto codein RLives >2hoursdrive tothe oceanWorkswithlidarPrefersto codein pythonFilters alot ofseawaterKnowswhat asundog isFilters alot ofseawaterLovesaerosolsWriteswikipediaarticlesFREE!Has beenat sea for>1 weekHasa catHas beento theSouthernOceanStarwarsfanModelsHas beento theArcticOceanPlays amusicalinstrumentCan tell afield workdisasterstoryDoeslakescienceSpeaks>2languagesHas beento thePacificOceanHas useda weatherballoonKnows amagictrickHas beento theAtlanticOceanKnows moreaboutpolarimetrythan owningthe sunglassesHasinteractedwith a CTD-RosettePlays amusicalinstrumentDrove acar >1hour toget hereHas workedin a cleanlab (on landor on a ship)Prefers tocode inMATLABHas doneairbornescienceFliesdronesDogpersonHasconsideredbecomingan astronautClimberScubadivesHas aGitHubIshungryright nowWorkswithcitizenscientistsDoes alot ofoutreachHas used asun-photometerHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingFlewhere ona planeHas beento aconcert inlast monthDoes adistancesportHas beenat sea for>1 weekDoesnot likepizza

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