02 March, 2018

I’m Jordan Ellenberg, author of How Not To Be Wrong: The Power of Mathematical Thinking, and I’m on this week's NOVA: “Prediction By The Numbers.” Ask me anything about mathematics, predicting the future, predicting the future of mathematics, data, and number theory!


See the source article by following the link below:

We do math in order to understand what has happened and what is happening, and one reason we want to understand those things is so we can make good guesses about what’s going to happen.

I’m Jordan Ellenberg, a math professor at the University of Wisconsin-Madison. I study number theory, algebraic geometry and topology, which basically means I study very old questions about numbers using very new methods developed in the last few decades. I’m also a writer; I’ve written articles about math for Slate, the New York Times, the Wall Street Journal, Wired, and a bunch of other publications… plus two books. The most recent, How Not To Be Wrong: The Power of Mathematical Thinking, is about the ways mathematics is wrapped up with everything we do and think about, from elections to poems to religious reveries to Supreme Court decisions to baseball games.

Here are a few things I’ve written lately:

The war on gerrymandering, and how math is fighting on both sides: https://www.nytimes.com/2017/10/06/opinion/sunday/computers-gerrymandering-wisconsin.html

Are we paying too much attention to child math prodigies? https://www.wsj.com/articles/the-wrong-way-to-treat-child-geniuses-1401484790

The amazing, autotuning sandpile: http://nautil.us/issue/23/dominoes/the-amazing-autotuning-sandpile

I’m featured in NOVA’s latest episode, “Prediction by the Numbers,” which asks what math can and can't tell us about the future. The show is now available for streaming online. I’m here now to take questions about the math on the show, or anything else mathematical you want to talk about!

">I’m Jordan Ellenberg, author of How Not To Be Wrong: The Power of Mathematical Thinking, and I’m on this week's NOVA: “Prediction By The Numbers.” Ask me anything about mathematics, predicting the future, predicting the future of mathematics, data, and number theory!

Science AMA Series: I'm Yaniv Erlich, from Columbia University, we analyzed the family tree of 13 million people to understand human longevity and marriage patterns, AMA!


See the source article by following the link below:

Hi, I am Yaniv Erlich – the Chief Science Officer of MyHeritage and an Associate Professor of Computer Science at Columbia University. We harnessed the work of millions of genealogists trying to understand their past to create a family tree of 13 million people. This pedigree spans all habitable continents and over 500 hundred years. My team analyzed this data to understand how genes affect longevity and reveal migration and martial patterns. Ask me anything!

">Science AMA Series: I'm Yaniv Erlich, from Columbia University, we analyzed the family tree of 13 million people to understand human longevity and marriage patterns, AMA!

01 March, 2018

Stress-related hormone cortisol lowers significantly after just 45 minutes of art creation


For the first time, the rotating "donut" of dust and gas around a supermassive black hole has been clearly imaged. This allows astronomers to relate the black hole's rotation loss to the magnetic fields around its jets.


Researchers have created the largest scientifically-vetted family tree to date, consisting of 13 million people that spans 11 generations.


Scientists have discovered a pair of ancient tattoos on two 5,000-year-old Egyptian mummies. They are the oldest figural tattoos yet found, pushing back the advent of tattooing in Africa some 1,000 years.


With DNA from a museum specimen, scientists reconstruct the genome of a bird extinct for 700 years