FliesdronesIs anatmosphericscientistHas beento theSouthernOceanHas doneairbornescienceDoes alot ofoutreachHas workedin a cleanlab (on landor on a ship)Does adistancesportWorkswithradarHasconsideredbecoming anastronautHasa catHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingFlewhere ona planeDid fieldwork inthe lastyearSpeaks>2languagesPrefers tocode inMATLABCan tell afield workdisasterstoryWent to or isgoing to awedding thissummerScubadivesPrefersto codein pythonHas useda weatherballoonHas used asun-photometerHas beento theIndianOceanMovedhousewithin thelast yearPrefersto codein RWriteswikipediaarticlesHas adogHas beenat sea for>1 weekHasinteractedwith a CTD-RosetteDrove acar >1hour toget hereLives >2hoursdrive tothe oceanHas beento thePacificOceanKnows howto properlyeat a wholeBlue CrabHas beento theArcticOceanWantstoteachDoesNOT wantto teachHas aGitHubWorkswithcitizenscientistsPlays amusicalinstrumentHas beento theAtlanticOceanFilters alot ofseawaterKnows moreaboutpolarimetrythan owning thesunglassesHas neverbeen toMarylandbefore thisModelsGoestoUMBCWorkswithlidarFliesdronesIs anatmosphericscientistHas beento theSouthernOceanHas doneairbornescienceDoes alot ofoutreachHas workedin a cleanlab (on landor on a ship)Does adistancesportWorkswithradarHasconsideredbecoming anastronautHasa catHas called intoa PACEScience &ApplicationsTeam (SAT)MeetingFlewhere ona planeDid fieldwork inthe lastyearSpeaks>2languagesPrefers tocode inMATLABCan tell afield workdisasterstoryWent to or isgoing to awedding thissummerScubadivesPrefersto codein pythonHas useda weatherballoonHas used asun-photometerHas beento theIndianOceanMovedhousewithin thelast yearPrefersto codein RWriteswikipediaarticlesHas adogHas beenat sea for>1 weekHasinteractedwith a CTD-RosetteDrove acar >1hour toget hereLives >2hoursdrive tothe oceanHas beento thePacificOceanKnows howto properlyeat a wholeBlue CrabHas beento theArcticOceanWantstoteachDoesNOT wantto teachHas aGitHubWorkswithcitizenscientistsPlays amusicalinstrumentHas beento theAtlanticOceanFilters alot ofseawaterKnows moreaboutpolarimetrythan owning thesunglassesHas neverbeen toMarylandbefore thisModelsGoestoUMBCWorkswithlidar

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