16.Is anMPHstudentHas a jointappointmentwith WCGovt & UCTPart of theDepartmentResearchCommittee(SPH)Cried overSPSS,Stata, orR37.Can’t explaintheir researchto familywithoutoversimplifyingHas usedmemes in apresentationBelongs to theTransformationCommittee(TEC)24.Has a jointappointmentwith WCGovt & UCTIs anMPHstudentStayed upall nightwriting agrantHas aresearchcrush(someonethey admire)41.Keeps dataon morethan onehard drive“just in case”1.Publishedsomethingthis yearHascollecteddata inextremeweatherWorks withcommunitiesor youthHas moretabs openthan can beseen on theirbrowserKnows atleast 3coffee shopswith goodWi-Fi nearby33.Has moretabs openthan can beseen on theirbrowserIs a nightowl (workslate ratherthan early)Hasreviewed apaper whileon holiday25.Working onsome kindof cure orvaccine23.Is a nightowl (workslate ratherthan early)35.Hascollecteddata inextremeweatherLovesfieldworkmore thandesk workOnce gave atalk to thewrongaudience (orwrong room)40.Has appliedfor fundingthey weren’tsure they’dget34.Knows atleast 3coffee shopswith goodWi-Fi nearby20.Part of theadminhub withinthe SPHHas appliedfor fundingthey weren’tsure they’dgetChangedtheirresearchtopic mid-wayBeenghosted bya journalreviewer7.Changedtheirresearchtopic mid-wayUsed funkydata(WhatsAppchats,TikTok, etc.)9.Cried overSPSS,Stata, orR21.FREESPACEHas beenchased byan animalwhile doingfieldwork17.Heads adivision orunit withinthe SPHCan’t explaintheir researchto familywithoutoversimplifyingHas forgottentheirconferencelanyard atleast once10.Works withcommunitiesor youth5.Presentinga postertoday2.Workingon a coolnewproject27.Has citedthemselvesin a paperHas citedthemselvesin a paper18.Part of theDepartmentResearchCommittee(SPH)Presentinga postertodayPart of theadminhub withinthe SPH12.Has aresearchcrush(someonethey admire)13.Presentedwith slidesout oforder11.Beenghosted bya journalreviewerIs apractisingmedicaldoctorOwns atleast oneconferencetote bagDoesHIVresearchCannot bespoken to inthe morningbefore coffeeUses “just onemoreregression” asaprocrastinationexcuseWorking onsome kindof cure orvaccine39.Owns atleast oneconferencetote bagFREESPACE4.Lovesfieldworkmore thandesk workPresentedwith slidesout oforder32.Uses “just onemoreregression” asaprocrastinationexcuse26.Has forgottentheirconferencelanyard atleast onceHasaccidentally“replied all” toan academicemail28.Hasaccidentally“replied all” toan academicemail22.Cannot bespoken to inthe morningbefore coffee3.Stayed upall nightwriting agrant29.Once gave atalk to thewrongaudience (orwrong room)31.Hasreviewed apaper whileon holidayHas turnedan abstractin secondsbefore thedeadline30.Has turnedan abstractin secondsbefore thedeadline6.Once lostall theirdata (andsurvived!)Workingon a coolnewproject8.Used funkydata(WhatsAppchats,TikTok, etc.)Once lostall theirdata (andsurvived!)Heads adivision orunit withinthe SPH14.DoesHIVresearch38.Has usedmemes in apresentation15.Is apractisingmedicaldoctorKeeps dataon morethan onehard drive“just in case”36.Has beenchased byan animalwhile doingfieldwork19.Belongs to theTransformationCommittee(TEC)Publishedsomethingthis year16.Is anMPHstudentHas a jointappointmentwith WCGovt & UCTPart of theDepartmentResearchCommittee(SPH)Cried overSPSS,Stata, orR37.Can’t explaintheir researchto familywithoutoversimplifyingHas usedmemes in apresentationBelongs to theTransformationCommittee(TEC)24.Has a jointappointmentwith WCGovt & UCTIs anMPHstudentStayed upall nightwriting agrantHas aresearchcrush(someonethey admire)41.Keeps dataon morethan onehard drive“just in case”1.Publishedsomethingthis yearHascollecteddata inextremeweatherWorks withcommunitiesor youthHas moretabs openthan can beseen on theirbrowserKnows atleast 3coffee shopswith goodWi-Fi nearby33.Has moretabs openthan can beseen on theirbrowserIs a nightowl (workslate ratherthan early)Hasreviewed apaper whileon holiday25.Working onsome kindof cure orvaccine23.Is a nightowl (workslate ratherthan early)35.Hascollecteddata inextremeweatherLovesfieldworkmore thandesk workOnce gave atalk to thewrongaudience (orwrong room)40.Has appliedfor fundingthey weren’tsure they’dget34.Knows atleast 3coffee shopswith goodWi-Fi nearby20.Part of theadminhub withinthe SPHHas appliedfor fundingthey weren’tsure they’dgetChangedtheirresearchtopic mid-wayBeenghosted bya journalreviewer7.Changedtheirresearchtopic mid-wayUsed funkydata(WhatsAppchats,TikTok, etc.)9.Cried overSPSS,Stata, orR21.FREESPACEHas beenchased byan animalwhile doingfieldwork17.Heads adivision orunit withinthe SPHCan’t explaintheir researchto familywithoutoversimplifyingHas forgottentheirconferencelanyard atleast once10.Works withcommunitiesor youth5.Presentinga postertoday2.Workingon a coolnewproject27.Has citedthemselvesin a paperHas citedthemselvesin a paper18.Part of theDepartmentResearchCommittee(SPH)Presentinga postertodayPart of theadminhub withinthe SPH12.Has aresearchcrush(someonethey admire)13.Presentedwith slidesout oforder11.Beenghosted bya journalreviewerIs apractisingmedicaldoctorOwns atleast oneconferencetote bagDoesHIVresearchCannot bespoken to inthe morningbefore coffeeUses “just onemoreregression” asaprocrastinationexcuseWorking onsome kindof cure orvaccine39.Owns atleast oneconferencetote bagFREESPACE4.Lovesfieldworkmore thandesk workPresentedwith slidesout oforder32.Uses “just onemoreregression” asaprocrastinationexcuse26.Has forgottentheirconferencelanyard atleast onceHasaccidentally“replied all” toan academicemail28.Hasaccidentally“replied all” toan academicemail22.Cannot bespoken to inthe morningbefore coffee3.Stayed upall nightwriting agrant29.Once gave atalk to thewrongaudience (orwrong room)31.Hasreviewed apaper whileon holidayHas turnedan abstractin secondsbefore thedeadline30.Has turnedan abstractin secondsbefore thedeadline6.Once lostall theirdata (andsurvived!)Workingon a coolnewproject8.Used funkydata(WhatsAppchats,TikTok, etc.)Once lostall theirdata (andsurvived!)Heads adivision orunit withinthe SPH14.DoesHIVresearch38.Has usedmemes in apresentation15.Is apractisingmedicaldoctorKeeps dataon morethan onehard drive“just in case”36.Has beenchased byan animalwhile doingfieldwork19.Belongs to theTransformationCommittee(TEC)Publishedsomethingthis year

Untitled Bingo - 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. Is an MPH student
    16.
  2. Has a joint appointment with WC Govt & UCT
  3. Part of the Department Research Committee (SPH)
  4. Cried over SPSS, Stata, or R
  5. Can’t explain their research to family without oversimplifying
    37.
  6. Has used memes in a presentation
  7. Belongs to the Transformation Committee (TEC)
  8. Has a joint appointment with WC Govt & UCT
    24.
  9. Is an MPH student
  10. Stayed up all night writing a grant
  11. Has a research crush (someone they admire)
  12. Keeps data on more than one hard drive “just in case”
    41.
  13. Published something this year
    1.
  14. Has collected data in extreme weather
  15. Works with communities or youth
  16. Has more tabs open than can be seen on their browser
  17. Knows at least 3 coffee shops with good Wi-Fi nearby
  18. Has more tabs open than can be seen on their browser
    33.
  19. Is a night owl (works late rather than early)
  20. Has reviewed a paper while on holiday
  21. Working on some kind of cure or vaccine
    25.
  22. Is a night owl (works late rather than early)
    23.
  23. Has collected data in extreme weather
    35.
  24. Loves fieldwork more than desk work
  25. Once gave a talk to the wrong audience (or wrong room)
  26. Has applied for funding they weren’t sure they’d get
    40.
  27. Knows at least 3 coffee shops with good Wi-Fi nearby
    34.
  28. Part of the admin hub within the SPH
    20.
  29. Has applied for funding they weren’t sure they’d get
  30. Changed their research topic mid-way
  31. Been ghosted by a journal reviewer
  32. Changed their research topic mid-way
    7.
  33. Used funky data (WhatsApp chats, TikTok, etc.)
  34. Cried over SPSS, Stata, or R
    9.
  35. FREE SPACE
    21.
  36. Has been chased by an animal while doing fieldwork
  37. Heads a division or unit within the SPH
    17.
  38. Can’t explain their research to family without oversimplifying
  39. Has forgotten their conference lanyard at least once
  40. Works with communities or youth
    10.
  41. Presenting a poster today
    5.
  42. Working on a cool new project
    2.
  43. Has cited themselves in a paper
    27.
  44. Has cited themselves in a paper
  45. Part of the Department Research Committee (SPH)
    18.
  46. Presenting a poster today
  47. Part of the admin hub within the SPH
  48. Has a research crush (someone they admire)
    12.
  49. Presented with slides out of order
    13.
  50. Been ghosted by a journal reviewer
    11.
  51. Is a practising medical doctor
  52. Owns at least one conference tote bag
  53. Does HIV research
  54. Cannot be spoken to in the morning before coffee
  55. Uses “just one more regression” as a procrastination excuse
  56. Working on some kind of cure or vaccine
  57. Owns at least one conference tote bag
    39.
  58. FREE SPACE
  59. Loves fieldwork more than desk work
    4.
  60. Presented with slides out of order
  61. Uses “just one more regression” as a procrastination excuse
    32.
  62. Has forgotten their conference lanyard at least once
    26.
  63. Has accidentally “replied all” to an academic email
  64. Has accidentally “replied all” to an academic email
    28.
  65. Cannot be spoken to in the morning before coffee
    22.
  66. Stayed up all night writing a grant
    3.
  67. Once gave a talk to the wrong audience (or wrong room)
    29.
  68. Has reviewed a paper while on holiday
    31.
  69. Has turned an abstract in seconds before the deadline
  70. Has turned an abstract in seconds before the deadline
    30.
  71. Once lost all their data (and survived!)
    6.
  72. Working on a cool new project
  73. Used funky data (WhatsApp chats, TikTok, etc.)
    8.
  74. Once lost all their data (and survived!)
  75. Heads a division or unit within the SPH
  76. Does HIV research
    14.
  77. Has used memes in a presentation
    38.
  78. Is a practising medical doctor
    15.
  79. Keeps data on more than one hard drive “just in case”
  80. Has been chased by an animal while doing fieldwork
    36.
  81. Belongs to the Transformation Committee (TEC)
    19.
  82. Published something this year