ScubadivesDoesNOT wantto teachHasconsideredbecoming anastronautHas used asun-photometerWantstoteachKnows moreaboutpolarimetrythan owning thesunglassesPrefersto codein RHasinteractedwith a CTD-RosetteHas adogFlewhere ona planeWent to or isgoing to awedding thissummerHas beento theArcticOceanHas neverbeen toMarylandbefore thisPrefers tocode inMATLABHas beento thePacificOceanPrefersto codein pythonModelsGoestoUMBCHas aGitHubWriteswikipediaarticlesDid fieldwork inthe lastyearHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHas beento theIndianOceanCan tell afield workdisasterstoryLives >2hoursdrive tothe oceanSpeaks>2languagesDrove acar >1hour toget hereHas beento theAtlanticOceanMovedhousewithin thelast yearHas beento theSouthernOceanPlays amusicalinstrumentFliesdronesIs anatmosphericscientistHas useda weatherballoonWorkswithlidarHas beenat sea for>1 weekDoes adistancesportHas doneairbornescienceHasa catKnows howto properlyeat a wholeBlue CrabWorkswithcitizenscientistsDoes alot ofoutreachWorkswithradarFilters alot ofseawaterHas workedin a cleanlab (on landor on a ship)ScubadivesDoesNOT wantto teachHasconsideredbecoming anastronautHas used asun-photometerWantstoteachKnows moreaboutpolarimetrythan owning thesunglassesPrefersto codein RHasinteractedwith a CTD-RosetteHas adogFlewhere ona planeWent to or isgoing to awedding thissummerHas beento theArcticOceanHas neverbeen toMarylandbefore thisPrefers tocode inMATLABHas beento thePacificOceanPrefersto codein pythonModelsGoestoUMBCHas aGitHubWriteswikipediaarticlesDid fieldwork inthe lastyearHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHas beento theIndianOceanCan tell afield workdisasterstoryLives >2hoursdrive tothe oceanSpeaks>2languagesDrove acar >1hour toget hereHas beento theAtlanticOceanMovedhousewithin thelast yearHas beento theSouthernOceanPlays amusicalinstrumentFliesdronesIs anatmosphericscientistHas useda weatherballoonWorkswithlidarHas beenat sea for>1 weekDoes adistancesportHas doneairbornescienceHasa catKnows howto properlyeat a wholeBlue CrabWorkswithcitizenscientistsDoes alot ofoutreachWorkswithradarFilters alot ofseawaterHas 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. Scuba dives
  2. Does NOT want to teach
  3. Has considered becoming an astronaut
  4. Has used a sun-photometer
  5. Wants to teach
  6. Knows more about polarimetry than owning the sunglasses
  7. Prefers to code in R
  8. Has interacted with a CTD-Rosette
  9. Has a dog
  10. Flew here on a plane
  11. Went to or is going to a wedding this summer
  12. Has been to the Arctic Ocean
  13. Has never been to Maryland before this
  14. Prefers to code in MATLAB
  15. Has been to the Pacific Ocean
  16. Prefers to code in python
  17. Models
  18. Goes to UMBC
  19. Has a GitHub
  20. Writes wikipedia articles
  21. Did field work in the last year
  22. Has called into a PACE Science & Applications Team (SAT) Meeting
  23. Has been to the Indian Ocean
  24. Can tell a field work disaster story
  25. Lives >2 hours drive to the ocean
  26. Speaks >2 languages
  27. Drove a car >1 hour to get here
  28. Has been to the Atlantic Ocean
  29. Moved house within the last year
  30. Has been to the Southern Ocean
  31. Plays a musical instrument
  32. Flies drones
  33. Is an atmospheric scientist
  34. Has used a weather balloon
  35. Works with lidar
  36. Has been at sea for >1 week
  37. Does a distance sport
  38. Has done airborne science
  39. Has a cat
  40. Knows how to properly eat a whole Blue Crab
  41. Works with citizen scientists
  42. Does a lot of outreach
  43. Works with radar
  44. Filters a lot of seawater
  45. Has worked in a clean lab (on land or on a ship)