WorkswithradarKnows howto properlyeat a wholeBlue CrabHas beento theArcticOceanWantstoteachHas used asun-photometerHas doneairbornescienceWorkswithcitizenscientistsPrefersto codein RHas beenat sea for>1 weekHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHasa catLives >2hoursdrive tothe oceanPrefersto codein pythonHasinteractedwith a CTD-RosetteScubadivesHas adogDrove acar >1hour toget hereHas useda weatherballoonDoes alot ofoutreachDoes adistancesportHas neverbeen toMarylandbefore thisHas beento theIndianOceanHas beento thePacificOceanMovedhousewithin thelast yearHas workedin a cleanlab (on landor on a ship)Hasconsideredbecoming anastronautFilters alot ofseawaterCan tell afield workdisasterstoryFlewhere ona planeFliesdronesHas beento theAtlanticOceanHas aGitHubModelsHas beento theSouthernOceanDoesNOT wantto teachIs anatmosphericscientistDid fieldwork inthe lastyearSpeaks>2languagesWent to or isgoing to awedding thissummerPrefers tocode inMATLABWorkswithlidarGoestoUMBCKnows moreaboutpolarimetrythan owning thesunglassesWriteswikipediaarticlesPlays amusicalinstrumentWorkswithradarKnows howto properlyeat a wholeBlue CrabHas beento theArcticOceanWantstoteachHas used asun-photometerHas doneairbornescienceWorkswithcitizenscientistsPrefersto codein RHas beenat sea for>1 weekHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHasa catLives >2hoursdrive tothe oceanPrefersto codein pythonHasinteractedwith a CTD-RosetteScubadivesHas adogDrove acar >1hour toget hereHas useda weatherballoonDoes alot ofoutreachDoes adistancesportHas neverbeen toMarylandbefore thisHas beento theIndianOceanHas beento thePacificOceanMovedhousewithin thelast yearHas workedin a cleanlab (on landor on a ship)Hasconsideredbecoming anastronautFilters alot ofseawaterCan tell afield workdisasterstoryFlewhere ona planeFliesdronesHas beento theAtlanticOceanHas aGitHubModelsHas beento theSouthernOceanDoesNOT wantto teachIs anatmosphericscientistDid fieldwork inthe lastyearSpeaks>2languagesWent to or isgoing to awedding thissummerPrefers tocode inMATLABWorkswithlidarGoestoUMBCKnows moreaboutpolarimetrythan owning thesunglassesWriteswikipediaarticlesPlays amusicalinstrument

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 radar
  2. Knows how to properly eat a whole Blue Crab
  3. Has been to the Arctic Ocean
  4. Wants to teach
  5. Has used a sun-photometer
  6. Has done airborne science
  7. Works with citizen scientists
  8. Prefers to code in R
  9. Has been at sea for >1 week
  10. Has called into a PACE Science & Applications Team (SAT) Meeting
  11. Has a cat
  12. Lives >2 hours drive to the ocean
  13. Prefers to code in python
  14. Has interacted with a CTD-Rosette
  15. Scuba dives
  16. Has a dog
  17. Drove a car >1 hour to get here
  18. Has used a weather balloon
  19. Does a lot of outreach
  20. Does a distance sport
  21. Has never been to Maryland before this
  22. Has been to the Indian Ocean
  23. Has been to the Pacific Ocean
  24. Moved house within the last year
  25. Has worked in a clean lab (on land or on a ship)
  26. Has considered becoming an astronaut
  27. Filters a lot of seawater
  28. Can tell a field work disaster story
  29. Flew here on a plane
  30. Flies drones
  31. Has been to the Atlantic Ocean
  32. Has a GitHub
  33. Models
  34. Has been to the Southern Ocean
  35. Does NOT want to teach
  36. Is an atmospheric scientist
  37. Did field work in the last year
  38. Speaks >2 languages
  39. Went to or is going to a wedding this summer
  40. Prefers to code in MATLAB
  41. Works with lidar
  42. Goes to UMBC
  43. Knows more about polarimetry than owning the sunglasses
  44. Writes wikipedia articles
  45. Plays a musical instrument