WorkswithradarHas useda weatherballoonFlewhere ona planeDoes alot ofoutreachHas beento theIndianOceanHas beenat sea for>1 weekMovedhousewithin thelast yearPrefers tocode inMATLABSpeaks>2languagesIs anatmosphericscientistWriteswikipediaarticlesHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHasinteractedwith a CTD-RosetteWorkswithcitizenscientistsHas beento theSouthernOceanWent to or isgoing to awedding thissummerFliesdronesScubadivesCan tell afield workdisasterstoryHas aGitHubDrove acar >1hour toget hereHas beento thePacificOceanDid fieldwork inthe lastyearDoesNOT wantto teachHas used asun-photometerHasa catHas beento theArcticOceanKnows howto properlyeat a wholeBlue CrabHas workedin a cleanlab (on landor on a ship)Does adistancesportHas adogHasconsideredbecoming anastronautHas neverbeen toMarylandbefore thisPrefersto codein pythonGoestoUMBCPlays amusicalinstrumentFilters alot ofseawaterHas beento theAtlanticOceanPrefersto codein RKnows moreaboutpolarimetrythan owning thesunglassesWorkswithlidarLives >2hoursdrive tothe oceanModelsHas doneairbornescienceWantstoteachWorkswithradarHas useda weatherballoonFlewhere ona planeDoes alot ofoutreachHas beento theIndianOceanHas beenat sea for>1 weekMovedhousewithin thelast yearPrefers tocode inMATLABSpeaks>2languagesIs anatmosphericscientistWriteswikipediaarticlesHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingHasinteractedwith a CTD-RosetteWorkswithcitizenscientistsHas beento theSouthernOceanWent to or isgoing to awedding thissummerFliesdronesScubadivesCan tell afield workdisasterstoryHas aGitHubDrove acar >1hour toget hereHas beento thePacificOceanDid fieldwork inthe lastyearDoesNOT wantto teachHas used asun-photometerHasa catHas beento theArcticOceanKnows howto properlyeat a wholeBlue CrabHas workedin a cleanlab (on landor on a ship)Does adistancesportHas adogHasconsideredbecoming anastronautHas neverbeen toMarylandbefore thisPrefersto codein pythonGoestoUMBCPlays amusicalinstrumentFilters alot ofseawaterHas beento theAtlanticOceanPrefersto codein RKnows moreaboutpolarimetrythan owning thesunglassesWorkswithlidarLives >2hoursdrive tothe oceanModelsHas doneairbornescienceWantstoteach

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