WorkswithcitizenscientistsHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHas used asun-photometerPrefers tocode inMATLABIshungryright nowPlays amusicalinstrumentScubadivesHasconsideredbecomingan astronautFlewhere ona planeHasa dogHas beento aconcert inlast monthFilters alot ofseawaterClimberDoeslakescienceDoes adistancesportStarwarsfanLives >2hoursdrive tothe oceanMovedhousewithin thelast yearWorkswithradarFilters alot ofseawaterDogpersonDoes alot ofoutreachPrefersto codein RHas aGitHubHas workedin a cleanlab (on landor on a ship)Knowswhat asundog isWorkswithlidarHas beento theArcticOceanCan tell afield workdisasterstoryHasa catHas beento theSouthernOceanLovesaerosolsDoesNOT liketo teachbut has toWriteswikipediaarticlesHas doneairbornescienceDid fieldwork inthe lastyearKnows moreaboutpolarimetrythan owningthe sunglassesHas beenat sea for>1 weekIs anatmosphericscientistFREE!Has beenat sea for>1 weekDoesnot likepizzaKnows amagictrickModelsHas beento thePacificOceanPrefersto codein pythonHas beento theAtlanticOceanDrove acar >1hour toget hereFliesdronesHas useda weatherballoonSpeaks>2languagesPlays amusicalinstrumentHasinteractedwith a CTD-RosetteWorkswithcitizenscientistsHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHas used asun-photometerPrefers tocode inMATLABIshungryright nowPlays amusicalinstrumentScubadivesHasconsideredbecomingan astronautFlewhere ona planeHasa dogHas beento aconcert inlast monthFilters alot ofseawaterClimberDoeslakescienceDoes adistancesportStarwarsfanLives >2hoursdrive tothe oceanMovedhousewithin thelast yearWorkswithradarFilters alot ofseawaterDogpersonDoes alot ofoutreachPrefersto codein RHas aGitHubHas workedin a cleanlab (on landor on a ship)Knowswhat asundog isWorkswithlidarHas beento theArcticOceanCan tell afield workdisasterstoryHasa catHas beento theSouthernOceanLovesaerosolsDoesNOT liketo teachbut has toWriteswikipediaarticlesHas doneairbornescienceDid fieldwork inthe lastyearKnows moreaboutpolarimetrythan owningthe sunglassesHas beenat sea for>1 weekIs anatmosphericscientistFREE!Has beenat sea for>1 weekDoesnot likepizzaKnows amagictrickModelsHas beento thePacificOceanPrefersto codein pythonHas beento theAtlanticOceanDrove acar >1hour toget hereFliesdronesHas useda weatherballoonSpeaks>2languagesPlays amusicalinstrumentHasinteractedwith a CTD-Rosette

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