...has afavoritecanteenmeal...doesNOTstudyplants...collaborateswith aresearch groupat anotherUniversity...takespipette tipsout of thebox with nopattern...didcompletelydifferentresearch intheir Master's...worksonproteins...wantsto stay inacademiaFree!...workswithmetabolites...sequencesDNA or RNA...prefersdigitallab-books...wantsto go intoindustry...hatesthe smellof LBmedia...studiesplants, butNOTArabidopsis...is in anindustrialPhD...worksonDNA...hassuperviseda student...does a lot ofbioinformatics...doesfieldwork...works onArabidopsis...does a lotofmicroscopy...hasalready donetheir ChangeofEnvironment...has had afrustratingreviewer ona paper...haschangedtheir PhDproject...has taken aPhDFundamentalsmodule...has afavoritecanteenmeal...doesNOTstudyplants...collaborateswith aresearch groupat anotherUniversity...takespipette tipsout of thebox with nopattern...didcompletelydifferentresearch intheir Master's...worksonproteins...wantsto stay inacademiaFree!...workswithmetabolites...sequencesDNA or RNA...prefersdigitallab-books...wantsto go intoindustry...hatesthe smellof LBmedia...studiesplants, butNOTArabidopsis...is in anindustrialPhD...worksonDNA...hassuperviseda student...does a lot ofbioinformatics...doesfieldwork...works onArabidopsis...does a lotofmicroscopy...hasalready donetheir ChangeofEnvironment...has had afrustratingreviewer ona paper...haschangedtheir PhDproject...has taken aPhDFundamentalsmodule

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 favorite canteen meal
  2. ...does NOT study plants
  3. ...collaborates with a research group at another University
  4. ...takes pipette tips out of the box with no pattern
  5. ...did completely different research in their Master's
  6. ...works on proteins
  7. ...wants to stay in academia
  8. Free!
  9. ...works with metabolites
  10. ...sequences DNA or RNA
  11. ...prefers digital lab-books
  12. ...wants to go into industry
  13. ...hates the smell of LB media
  14. ...studies plants, but NOT Arabidopsis
  15. ...is in an industrial PhD
  16. ...works on DNA
  17. ...has supervised a student
  18. ...does a lot of bioinformatics
  19. ...does field work
  20. ...works on Arabidopsis
  21. ...does a lot of microscopy
  22. ...has already done their Change of Environment
  23. ...has had a frustrating reviewer on a paper
  24. ...has changed their PhD project
  25. ...has taken a PhD Fundamentals module