In about 2 hours I'll talk about using category theory to build epidemiology models here on YouTube. That's 17:00 UTC, or 10:00 am here in California.
Here are my talk slides:
I need breakfast first, though.
So, all together we have serious expertise in category theory, computer science, and epidemiology. Any two parts alone would not be enough for this project.
Moral: to apply category theory to real-world problems, you need a team.
And we're just getting started!
(7/n, n = 7)
This work would be impossible without the right team! Brendan Fong developed decorated cospans and then started the Topos Institute. My coauthors Evan Patterson and Sophie Libkind work there, and they know how to program using category theory.
But the key idea is 'compositional modeling'. This lets different teams build different models and then later assemble them into a larger model. The most popular existing software for stock-flow diagrams does not allow this. Category theory to the rescue!
My talk is at a seminar on graph rewriting, so I'll explain how the math applies to graphs before turning to 'stock-flow diagrams', like this here.
Stock-flow diagrams are used to create models in epidemiology. There's a functor mapping them to dynamical systems. (2/n)
However, that chart is not very helpful for atmospheric conditions, where the pressure is 100 kPa and temperature is between 0 °C and 50 °C. A more useful chart shows the density of moist air.
So it's a bit more complicated than I made it sound, but the basic idea is right.
Caveat: for ideal gases at a given temperature and pressure, the density is simply proportional to the molecular weight! But water vapor is sometimes far from ideal. This chart shows the % deviation from ideality of water vapor's volume at various temperatures and pressures.
In 1966, doctors in California tried a new approach to “cure” gay men:
“The goal was to paralyze patients, first their limbs and then their lungs, until they stopped breathing and felt as though they were drowning.”
Learn who blew the whistle!
My talk was part of the Grothendieck Conference at Chapman University. You can see a bunch of other talks too - by Buzzard, Caramello, Landry, McLarty and more! I may tweet about some.
(3/n, n = 3)
Here's my talk video. Slides are here:
I hope you get the basic idea: if primes are particles, zeros of the Riemann zeta function describe waves - and in Grothendieck's simplified version, they correspond to 'motives'.
Luckily the fire department had already sent in 2 engines, 2 bulldozers, 2 hand crews and 2 officers.
They stopped the blaze when it was 3 acres in area, then stayed there for hours putting it out completely.
Whew! Just another night in the land of fire.
Can anyone translate this page into English?
It seems to be an interview of Sính. Under this photo it says "Cót village girl is passionate about math".
I'm a mathematical physicist who likes explaining stuff. Sometimes I work at the Topos Institute.
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