WorkswithbacteriaWorksin IBBCommutesto campuson bikeUsesMatLab intheirresearchWorks witha vertebrateanimalmodelStill usesa paperlabnotebookHas a pet withascience/biologyrelated nameWorks inCherryEmersonLivesoutside ofATL’sperimeterReceiveda degreeoutside ofthe U.S.Received abachelor’sdegreefrom GTHas apatentSpeaks 3or morelanguagesfluentlyHas beenat GT for<1 yearThinksPython isbetterthan RHas beenat GT for>20 yearsHas donefieldworkoutside ofthe U.S.Commutesto campusviaMARTADoesn’tlikecoffeeWorks withinvertebratesHasworkedwithplantsIscurrentlyserving asa T.A.Was a first-generationcollegestudentIs aBioScipostdocWorkswithbacteriaWorksin IBBCommutesto campuson bikeUsesMatLab intheirresearchWorks witha vertebrateanimalmodelStill usesa paperlabnotebookHas a pet withascience/biologyrelated nameWorks inCherryEmersonLivesoutside ofATL’sperimeterReceiveda degreeoutside ofthe U.S.Received abachelor’sdegreefrom GTHas apatentSpeaks 3or morelanguagesfluentlyHas beenat GT for<1 yearThinksPython isbetterthan RHas beenat GT for>20 yearsHas donefieldworkoutside ofthe U.S.Commutesto campusviaMARTADoesn’tlikecoffeeWorks withinvertebratesHasworkedwithplantsIscurrentlyserving asa T.A.Was a first-generationcollegestudentIs aBioScipostdoc

GT BioSci Retreat - 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 bacteria
  2. Works in IBB
  3. Commutes to campus on bike
  4. Uses MatLab in their research
  5. Works with a vertebrate animal model
  6. Still uses a paper lab notebook
  7. Has a pet with a science/biology related name
  8. Works in Cherry Emerson
  9. Lives outside of ATL’s perimeter
  10. Received a degree outside of the U.S.
  11. Received a bachelor’s degree from GT
  12. Has a patent
  13. Speaks 3 or more languages fluently
  14. Has been at GT for <1 year
  15. Thinks Python is better than R
  16. Has been at GT for >20 years
  17. Has done fieldwork outside of the U.S.
  18. Commutes to campus via MARTA
  19. Doesn’t like coffee
  20. Works with invertebrates
  21. Has worked with plants
  22. Is currently serving as a T.A.
  23. Was a first-generation college student
  24. Is a BioSci postdoc