More information about me can be found on my scholars duke page and the math department profile.
Duke math mattingly.
Duke distinguished professor of mathematics and electrical and computer engineering.
Jonathan christopher mattingly grew up in charlotte nc where he attended irwin ave elementary and charlotte country day.
Jonathan mattingly is the chair of mathematics at duke and an alumnus of the nc school of science and math what began as an undergraduate project looking at how to create a typical map of congressional districts expanded to a national investigation for duke mathematics chair jonathan mattingly.
In addtion to the above sites many of my publication can be found on the arxiv and on google scholar.
Duke mathematics professor jonathan mattingly and colleagues wanted to find out if north carolina s congressional map was gerrymandered.
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District maps thursday january 11 2018 duke mathematics professor jonathan mattingly s algorithm demonstrating political gerrymandering i.
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A mathematician goes to court.
So they did the math.
Photo by jared lazarus.
Professor in the department of mathematics.
He graduated from the nc school of science and mathematics and received a bs is applied mathematics with a concentration in physics from yale university.
This a story of both mathematics informing the law and legal questions suggesting new mathematical problems.
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My analysis shows that the remedial map was much less sensitive to swings in the partisan vote fractions than the vast majority of the maps in the ensemble the plots below where the remedial plan is labeled hb 1029 show that under a uniform swing analysis the nonpartisan maps in the ensemble often produce 6 and sometimes 7 democratic seats in election environments when the democrats perform.
Mathematics chair jonathan mattingly s math exposes political gerrymandering in n c.
With our award winning faculty nationally recognized programs and challenging but engaging curriculum duke s department of mathematics prepares students for successful careers whether that s in a math field academia or a different area altogether.