Has adogHasconsideredbecoming anastronautCan tell afield workdisasterstoryWantstoteachIs anatmosphericscientistModelsHas workedin a cleanlab (on landor on a ship)Drove acar >1hour toget herePrefersto codein RHas beento theIndianOceanSpeaks>2languagesHas aGitHubHas beento theAtlanticOceanHas beenat sea for>1 weekFliesdronesHas beento theArcticOceanWent to or isgoing to awedding thissummerDid fieldwork inthe lastyearScubadivesFilters alot ofseawaterDoes adistancesportWriteswikipediaarticlesWorkswithradarHas useda weatherballoonDoes alot ofoutreachHas beento thePacificOceanHas used asun-photometerWorkswithlidarHas neverbeen toMarylandbefore thisGoestoUMBCKnows howto properlyeat a wholeBlue CrabPrefers tocode inMATLABMovedhousewithin thelast yearHas doneairbornescienceHasa catPlays amusicalinstrumentWorkswithcitizenscientistsHas beento theSouthernOceanLives >2hoursdrive tothe oceanHasinteractedwith a CTD-RosetteDoesNOT wantto teachHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingFlewhere ona planePrefersto codein pythonKnows moreaboutpolarimetrythan owning thesunglassesHas adogHasconsideredbecoming anastronautCan tell afield workdisasterstoryWantstoteachIs anatmosphericscientistModelsHas workedin a cleanlab (on landor on a ship)Drove acar >1hour toget herePrefersto codein RHas beento theIndianOceanSpeaks>2languagesHas aGitHubHas beento theAtlanticOceanHas beenat sea for>1 weekFliesdronesHas beento theArcticOceanWent to or isgoing to awedding thissummerDid fieldwork inthe lastyearScubadivesFilters alot ofseawaterDoes adistancesportWriteswikipediaarticlesWorkswithradarHas useda weatherballoonDoes alot ofoutreachHas beento thePacificOceanHas used asun-photometerWorkswithlidarHas neverbeen toMarylandbefore thisGoestoUMBCKnows howto properlyeat a wholeBlue CrabPrefers tocode inMATLABMovedhousewithin thelast yearHas doneairbornescienceHasa catPlays amusicalinstrumentWorkswithcitizenscientistsHas beento theSouthernOceanLives >2hoursdrive tothe oceanHasinteractedwith a CTD-RosetteDoesNOT wantto teachHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingFlewhere ona planePrefersto codein pythonKnows moreaboutpolarimetrythan owning thesunglasses

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