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  • 1.  Exploring our assumptions with a simple systems dynamics model

    Posted 04-30-2020 12:49:00 PM
    Edited by Blake Ives 04-30-2020 05:07:21 PM
    Simple systems dynamics model

    I used Loopy to create a systems dynamics model of the impact of Covid-19 on a large public US university. Your can run the model.

     

    My assumptions are:

    • Covid-19 increase unemployment
    • Unemployments cuts university funding
    • More funding results in more administrators and a more complex organization. Administrators have increased at a significantly faster rate than faculty over the last few decades and universities have taken on more activities and services.
    • More funding means more faculty hiring
    • More faculty means lower faculty teaching loads in terms of classes or class sizes
    • Higher faculty loads reduce research productivity 
    • High unemployment will result in more high school graduates opting for university 
    • More students means more classes
    • More classes will create more graduates

    The positives:

    • An increase in university educated citizens
    • A concentration on the core activities of the university. As complexity increases, effectiveness often decreases. 

    The negatives:

    • Less research publications

    Your university might well be different so change the model to fit your circumstances.

     

    Consider using Loopy to help your university understand the implications and what actions it might take. 



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    Richard Watson
    J. Rex Fuqua Distinguished Chair for Internet Stra
    Athens GA
    706.542.3706
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  • 2.  RE: Exploring our assumptions with a simple systems dynamics model

    Posted 04-30-2020 01:40:00 PM
    A proposed restatement of Rick's Assumptions

    Loopy is very cool and Rick has used it to good advantage to pull out some assumptions.  However, I found the plus and minus signs a bit confusing as well as the descriptions as they seem to conflate recent trends with likely future trends:

    I haven't modified the model, and perhaps there is no need to as, for example, if funding does go up (down) then administrative costs will indeed go up (down) - there is a positive correlation.  But I suggest we reword the assumptions  so as to be in line with where things appear to be heading as Rick had already done with the first and last three assumptions.

    Here is my go at restating Rick's model.

    • Covid-19 will increase unemployment
    • Unemployment cuts university funding (particularly for state supported institutions and assuming we do not see a big rise in tuition revenue from out of work students)
    • Less funding will  (should) result in less administrators and a less complex organization
    • Administive ranks have increased at a significantly faster rate than faculty over the last few decades as universities have taken on more activities and services.
    • Less funding means less faculty hiring
    • Less faculty means higher faculty teaching loads in terms of classes taught or class sizes
    • Higher faculty loads reduce research productivity 
    • Higher unemployment will result in more high school graduates opting for university 
    • More students means more classes
    • More classes will create more graduates.  

    Of course, the funding model for most universities is much more varied with alumni giving, sports revenues, endowment income, and so on factoring in.  But the outcome is predictably the same  - less funding (revenues) should mean less administration and reductions in faculty.  However, in another posting ( https://aisnet.org/forums/posts.aspx?group=&topic=1546465&page=1&hhSearchTerms=#post_1546470 ) Jason Thatcher argues that in his experience, faculty have been hurt more than administrators - perhaps because it is easier to eliminate faculty than climbing walls or career services.  Much of the complexity is baked in.  As the proportion of tenured and tenure track faculty have steadily given way to legions of adjuncts, the faculty have become the more malleable piece of the puzzle.



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    Blake Ives
    Bauer Professor
    University of Houston
    Houston TX
    713-743-4697
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