NASA. Data. Good.
Tracking the aerosols carried on the winds let scientists see the currents in our atmosphere. This visualization follows sea salt, dust, and smoke from July 31 to November 1, 2017, to reveal how these particles are transported across the map.
The first thing that is noticeable is how far the particles can travel. Smoke from fires in the Pacific Northwest gets caught in a weather pattern and pulled all the way across the US and over to Europe. Hurricanes form off the coast of Africa and travel across the Atlantic to make landfall in the United States. Dust from the Sahara is blown into the Gulf of Mexico. To understand the impacts of aerosols, scientists need to study the process as a global system.
Read more here.
Tags: environment, NASA, simulation
Here’s a fun what-if simulation that imagines a world where all natural causes of death were gone. People only die of things like car crashes and homicide. The result: people who live to thousands of years old.
Of course, this assumes that the likelihood of dying from external causes stays the same. With such a long life expectancy, do people start to take more risks? Or do we become more sloth-like because we have all the time in the world? Ah, that’s a thinker.
Want a simulation closer to reality? Here you go.
Tags: mortality, simulation
Disinformation is kind of a problem these days, yeah? Fatih Erikli uses a simulation that works like a disaster spread model applied to social networks to give an idea of how disinformation spreads.
I tried to visualize how a disinformation becomes a post-truth by the people who subscribed in a network. We can think this network as a social media such as Facebook or Twitter. The nodes (points) in the map represent individuals and the edges (lines) shows the relationships between them in the community. The disinformation will be forwarded to their audience by the unconscious internet (community) members.
Set the “consciousness” parameter and select a node to run.
Tags: disinformation, simulation
Uber uses psychology and video game mechanics to encourage drivers to work longer and drive in certain areas. Noam Scheiber for The New York Times details the gray area that Uber resides in since drivers aren’t official employees.
Uber exists in a kind of legal and ethical purgatory, however. Because its drivers are independent contractors, they lack most of the protections associated with employment. By mastering their workers’ mental circuitry, Uber and the like may be taking the economy back toward a pre-New Deal era when businesses had enormous power over workers and few checks on their ability to exploit it.
This probably doesn’t come as a surprise to most, but it’s interesting to hear about it in such detail. It’s also fun to play with the simulations by Jon Huang, which help you better understand the strategies Uber use.
Tags: New York Times, simulation, Uber
Nicky Case, whose projects to simulate segregation and systems with emoji you might recognize, likes to think in systems. Piece together steps and objects, and let them interact with each other using various probabilities and weights. Simulate. See what happens.
Case’s newest project, LOOPY, is a tool to build your own systems. No programming required. Just click-and-drag things and press play.
You have a mouth with a bunch of tissue in it and manipulate your tongue, lips, throat, and other pieces so that somehow words come out. A lot of variables figure in, which can make the whole process of talking a complex process. Neil Thapen makes it more understandable with a fun simulator he calls Pink Trombone. Turn your sound on, and click and drag any of the words to see how voice changes when you modulate parts of the mouth.
Tags: simulation, talking
Daniel Smilkov and Shan Carter at Google put together this interactive learner for how a neural network works. In case you’re unfamiliar with the method:
It’s a technique for building a computer program that learns from data. It is based very loosely on how we think the human brain works. First, a collection of software “neurons” are created and connected together, allowing them to send messages to each other. Next, the network is asked to solve a problem, which it attempts to do over and over, each time strengthening the connections that lead to success and diminishing those that lead to failure.
I took one course on neural networks in college and poked around at those parameters for hours for various homework assignments and projects. I was basically a monkey pushing at buttons to see what images I could produce. I wish I had something like this to mess around with, so I could actually see the process.
Tags: neural networks, simulation
With election season in full swing, as far as the news is concerned at least, we get to see poll after poll in the beginning of a voting day and then reports the next day about which ones were wrong. Based on the news alone, it feels like almost every poll is just plain wrong. Maarten Lambrechts shows what’s going on here with Rock ‘n Poll. It simulates a poll and then multiple polls, showing how small differences in the numbers can seem like a lot once the voting results come in.
Tags: polling, simulation, uncertainty
As we know, there are various outcomes during election season, with uncertainty in each round. The Upshot is currently using a simulation to show the expectations of tonight.
These estimates, which include states that have not yet reported all their votes, are based on several factors: Our expectations of every candidate’s performance, the voting results in other states and the demographic makeup and historical voting patterns of voters in each state. As votes come in, we expect the uncertainty around our estimates will narrow.
Tags: elections, simulation, uncertainty, Upshot
It pains me to imagine a time when Donald Drumpf earns a Republican nomination. There are a number of ways he can get there, but there are a number of ways Marco Rubio can win the nod too. The Upshot simulated the possible routes.
To figure out what it will take for Donald J. Trump — or Marco Rubio or Ted Cruz — to win the Republican nomination, we built the G.O.P. presidential nomination process in code. This interactive delegate calculator uses each state’s delegate allocation rules, along with estimates of how favorable each district is for each candidate, to simulate how the race might unfold.
And if you have a different idea of what the results will be like, you can adjust the sliders for each candidate to simulate your own results.
Tags: elections, government, simulation, Upshot