Weekly Picks
June 1, 2011 § 2 Comments
Let’s assume the weekly picks are on time but we’re in a hurry.
Monday was lost in the storms
Tuesday
Ask a mathematician // ask a physicist explains why the earth orbits the sun.
Statistical Modeling, Causal Inference, and Social Science offers a theory of plagiarism.
Wednesday
The Universe of Discourse writes about seemingly bad solutions.
Peter Cameron Counts wonders if Lem anticipated Furstenberg.
Broken Airplane turns our eyes to two projects promoting women in STEM.
Michael Trick discusses OR vs business analytics.
Thursday
Shtetl Optimized offers some problems for students.
Mr Honner warns: be careful what you blog for!
Friday
Azimuth uses Quora to collect ways to slow climate change.
Freakonometrics thinks about pancakes, athletes, and bad days (translation).
Maththen finds a Moebius Ship.
Saturday
Matem@ticaMente writes a wonderful introduction to Magical Squares (translation).
Computational Complexity celebrates 75 years of computer science.
Nuit Blanche calls for a Google Exacycle application for the DUMBEST.
Sunday
Mathalicious writes an open letter to Sal Khan.
Monday
Xi’an’s Og encounters a very real credit system for authors and reviewers.
SymOmega links to upcoming changes for the Australian research community.
Intersections is found by a poem.
Mathematics under the Microscope republishes an old post on the mathematical world (also, check out the webinar announcement).
Science after Sunclipse complains about TEAL.
The Renaissance Mathematicus starts a series on the astronomical revolution.
La covacha matematica offers a history of mathematics education in Puerto Rico (translation).
Enjoy!
Thanks for picking Azimuth! Actually, “Azimuth uses Quora to collect ways to slow climate change” isn’t exactly right. Our plan so far is to use the Azimuth Project to come up with good answers to questions on Quora. The first question we tackled was “What is the one best thing everyone could do to slow down climate change?”
For a more math-y post from last week, try Information Geometry (Part 8), where we saw how the replicator equation in evolutionary biology is related to information geometry. In a nutshell: evolution is like learning, and we can make this into theorems.
John, sorry for the delay — wordpress thought your post was spam. Thanks for the links!