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

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