# Articles sur Mathematics

## What Amazon’s decision to retrain a third of its employees means for the future of work

Amazon's plan to invest \$700 million retraining its workforce signals very soon all jobs will be STEM jobs – and higher education needs to play a bigger role.

## Mathematics is about wonder, creativity and fun, so let’s teach it that way

Mathematician Peter Taylor taught high school math to prepare to develop a new 'RabbitMath' curriculum that emphasizes collaborative creativity and learning to work with complex systems.

## Math explains why the Democrats may have trouble picking a candidate

The more candidates that there are, the likelier it is that voters cannot come to a consensus on the best candidate.

## Cricket’s Duckworth-Lewis method: how to work out who wins when rain interrupts

When bad weather hits, there's a complex formula organisers turn to to make lost game time fair.

## We taught bees a simple number language – and they got it

We're left wondering whether we as humans are so very special after all – that perhaps the ability to learn mathematics could be universal.

## South Africa’s voter turnout: a mathematician runs the numbers

To a mathematician the idea of, "voter turnout" is not a very precise term. What exactly does it mean? And how is it calculated?

## Mathematics of scale: Big, small and everything in between

What do earthquakes, wealthy Italian families and your circulatory system have in common? Scientists use fractals, self-similarity and power laws to translate from local to global scales.

## AI develops human-like number sense – taking us a step closer to building machines with general intelligence

A human knows that four cats, four apples and the symbol 4 all have one thing in common – the abstract concept of 'four'. Now robots are catching up.

## What happens when a raindrop hits a puddle?

Why does the impact of rain in a puddle look different from when it falls elsewhere, like in a lake or the ocean? A 'puddle equation' dives deep into the secret math of ripples.

## Four ways in which Leonardo da Vinci was ahead of his time

Engineer, artist, mathematician, thinker: Leonardo da Vinci was all these and more.

## Here’s how to increase diversity in STEM at the college level and beyond

Researchers find promising results for two programs patterned after the Meyerhoff Scholars Program, a renowned initiative launched at UMBC in the 1980s and known to increase diversity in STEM.

## Why Facebook belongs in the math classroom

Simple math reveals some surprising facts about the underlying structure of Facebook and other social networks.

## We’ve found a quicker way to multiply really big numbers

To multiply two numbers by hand take a few steps but it's something we're taught in school. When dealing with big numbers, really big numbers, we need to a quicker way to do things.

## Using computers to crack open centuries-old mathematical puzzles

Mathematicians have known how to solve something called an S-unit equation for several years. However, the process is so convoluted that few can actually use it to tackle their problems.

## 3 times political conflict reshaped American mathematics

When is math not just math? Political conflicts have led to new study-abroad initiatives, the creation of a world-class university, the migration of mathematicians and serious educational reforms.

## Want to fix gerrymandering? Then the Supreme Court needs to listen to mathematicians

Supreme Court justices have previously called statistical methods of measuring partisan gerrymandering 'sociological gobbledygook' and 'a bunch of baloney.'

## Statistics ruined baseball by perfecting it

An obsession with statistics has made teams better than ever -- but the game is now more tedious for fans to watch.

## I build mathematical programs that could discover the drugs of the future

Artificially intelligent drug design programs could discover new therapies for conditions that are difficult or prohibitively expensive to cure.

## Endangered species could be saved from extinction by mathematical models – here’s how

Mathematic models are becoming more sophisticated and now they could actually predict how likely a species is to die out.

## Why it’s so difficult for scientists to predict the next outbreak of a dangerous disease

In January, measles returned to the Pacific Northwest, while Ebola resurged in the Congo. It would take a lot more research for scientists to be able to stop threats like these in their tracks.