Category: Research

46

At noon eastern today, Joe Biden will take the Oath of Office and become the 46th President of the United States.  The Pumpkin Fascist may be out of our hair, at least for awhile, what with the pending bankruptcy, sexual assault charges, tax, bank and real estate fraud charges, the emoluments case, plus whatever charges he will face for his role in the Cosplay March on Rome earlier this month.  But the country still faces the task of getting out of

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Whales

One of the weirdest thing about Canadian tech policy (insofar as we have one) is the obsession with Canadian “champions”.   Whenever a promising company – say Verafin, or Element AI – gets sold to a foreign (mainly American) buyer, there is always much wailing and gnashing of teeth about Canada being “unable to compete”.    The idea seems to be that unless we have big behemoth players striding the globe, we are not a serious tech country.  It’s not entirely clear why competitiveness should

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When Science Outruns Business

I have a few projects where I keep seeing the same problem again and again.  And it’s a real poser because it’s a problem that the literature on knowledge and economic development mostly passes over.  It goes like this: Universities play an important role in local economies for two reasons.  The first is that they provide a stream of talented graduates which, in theory, acts as a honeytrap for capital.  The second is that the flow of information between institutions

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How Not to Write About a Pandemic

So, I think I have found what is definitively the worst possible take on COVID-19 and universities.  It is called: “The Academy’s Neoliberal Response to COVID-19: Why We Should Be Wary and Why We Should Push Back”, by St. Jerome’s University’s Honor Brabazon and it was published by Academic Matters, the house organ of the Ontario Confederation of University Faculty Associations (a shorter version also was published by CAUT). Do read it because it’s a classic of academic narcissism: 100%

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Work in 2030

All models are wrong, but some models are useful.  This phrase, usually attributed to the statistician George Box, is especially apt when it comes to labour market forecasts.  There is an obsession among policymakers about “getting better data” and “getting good labour market projections,” which can in turn (to some extent) drive planning for skills training and post-secondary education.  And it is definitely a phrase that comes to mind when describing the new, bold labour market projection system described in

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