Post Tagged with: "mathematics"

Mathematicians Predict the Future With Data From the Past

Mathematicians Predict the Future With Data From the Past

cliodynamics-chart-660x474

I wrote for Wired:

In Issac Asimov’s classic science fiction saga Foundation, mathematics professor Hari Seldon predicts the future using what he calls psychohistory. Drawing on mathematical models that describe what happened in the past, he anticipates what will happen next, including the fall of the Galactic Empire.

That may seem like fanciful stuff. But Peter Turchin is turning himself into a real-life Hari Seldon — and he’s not alone.

Turchin — a professor at the University of Connecticut — is the driving force behind a field called “cliodynamics,” where scientists and mathematicians analyze history in the hopes of finding patterns they can then use to predict the future. It’s named after Clio, the Greek muse of history.

These academics have the same goals as other historians — “We start with questions that historians have asked for all of history,” Turchin says. “For example: Why do civilizations collapse?” — but they seek to answer these questions quite differently. They use math rather than mere language, and according to Turchin, the prognosis isn’t that far removed from the empire-crushing predictions laid down by Hari Seldon in the Foundation saga. Unless something changes, he says, we’re due for a wave of widespread violence in about 2020, including riots and terrorism. [...]

There are competing theories as well. A group of researchers at the New England Complex Systems Institute — who practice a discipline called econophysics — have built their own model of political violence and concluded that one simple variable is sufficient to predict instability: food prices. In a paper titled “The Food Crises and Political Instability in North Africa and the Middle East,” they explain that although many other grievances may be aired once the violence begins, the cost of food is the primary trigger. They make a similarly grim prediction: large-scale riots over food, beginning around October of this year.

Full Story: Wired Enterprise: Mathematicians Predict the Future With Data From the Past

I’d actually recommend reading journal articles I cite before reading my article:

Dynamics of political instability in the United States, 1780–2010 by Peter Turchin

The Food Crises and Political Instability in North Africa and the Middle East by Marco Lagi, Karla Z. Bertrand and Yaneer Bar-Yam.

Also check out Turchin’s blog.

Previously:

Revolution – history and praxis. Technoccult interviews Johnny Brainwash

The Rise of Predictive Policing: Police Using Statistics to Predict Crime

Are We On the Verge of the Next Psychedelic Explosion?

April 10, 2013 2 comments
Meteorologists: The Original Data Scientists?

Meteorologists: The Original Data Scientists?

Rock star data scientist Nate Silver wrote a long article on meteorology for the New York Times:

Why are weather forecasters succeeding when other predictors fail? It’s because long ago they came to accept the imperfections in their knowledge. That helped them understand that even the most sophisticated computers, combing through seemingly limitless data, are painfully ill equipped to predict something as dynamic as weather all by themselves. So as fields like economics began relying more on Big Data, meteorologists recognized that data on its own isn’t enough.

The New York Times: The Weatherman Is Not a Moron

(via Abe)

September 8, 2012 Comments are Disabled
A New Theory of Everything

A New Theory of Everything

Technology Review covers Stuart Kauffman‘s work to find a mathematical model for autocatalytic sets, the process by which life may emerge from molecules:

What makes the approach so powerful is that the mathematics does not depend on the nature of chemistry–it is substrate independent. So the building blocks in an autocatalytic set need not be molecules at all but any units that can manipulate other units in the required way.

These units can be complex entities in themselves. “Perhaps it is not too far-fetched to think, for example, of the collection of bacterial species in your gut (several hundreds of them) as one big autocatalytic set,” say Kauffman and co.

And they go even further. They point out that the economy is essentially the process of transforming raw materials into products such as hammers and spades that themselves facilitate further transformation of raw materials and so on. “Perhaps we can also view the economy as an (emergent) autocatalytic set, exhibiting some sort of functional closure,” they speculate.

Could it be that the same idea–the general theory of autocatalytic sets–can help explain the origin of life, the nature of emergence and provide a mathematical foundation for organisation in economics?

Full Story: MIT Technology Review: The Single Theory That Could Explain Emergence, Organisation And The Origin of Life

(via Social Physicist)

I find this very interesting, but don’t get too excited. These sorts of grand unification theories are extremely elusive. I’m also skeptical of these sorts of models which try to find universal rules for all types of systems.

See also:

Social Physics with Kyle Findlay

Guest Post: Some resources for thinking about systems

May 12, 2012 0 comments
Researchers Trying to Build a Functioning Babbage’s Analytical Engine

Researchers Trying to Build a Functioning Babbage’s Analytical Engine

 A photo of the Difference Engine constructed by the Science Museum based on the plans for Charles Babbage's Difference Engine No. 2

A photo of the Difference Engine constructed by the Science Museum based on the plans for Charles Babbage’s Difference Engine No. 2 by geni

Forget big data:

The project follows the successful effort by a group at the museum to replicate a far less complicated Babbage invention: the Difference Engine No. 2, a calculating machine composed of roughly 8,000 mechanical components assembled with a watchmaker’s precision. That project was completed in 1991.

The new effort — led by John Graham-Cumming, a programmer, and Doron Swade, a former curator at the museum — has already digitized Babbage’s surviving blueprints for the Analytical Engine. But the challenges of building it are daunting.

In the case of the Difference Engine, a complete set of plans existed. The Analytical Engine, by contrast, was a work in progress, as Babbage continually refined his thinking in a series of blueprints. Thus, the hope is to “crowd-source” the analysis of what should be built; plans will be posted online next year, and the public will be invited to offer suggestions.

New York Times: It Started Digital Wheels Turning

November 9, 2011 0 comments
Punk Mathematics Author Tom Henderson to Keynote EsoZone Portland 2011

Punk Mathematics Author Tom Henderson to Keynote EsoZone Portland 2011

Tom Henderson, author of the forthcoming book Punk Mathematics, will keynote EsoZone Portland 2011 on November 18th at p:ear. Admission is free. Tom’s talk is tentatively titled “Time, Space, and the Self are Illusions – So Do ‘You’ Wanna Go ‘Out’ with ‘Me’ ‘Tonight’?” He’ll cover:

    • Mining your history for strategy
    • Virtual paranoia
    • Your eigenself and “you”
    • Using the howling void beyond your epsilon of consciousness for a good time

Tom has a masters in mathematics from Portland State University. According to the Kickstarter page for his book:

Punk Mathematics will be a series of mathematical stories. It is written for readers who are interested in having their minds expanded by the strange metaphors and implications of mathematics, even if they’re not always on friendly terms with equations. Better living through probability; the fractal dimension of cities and cancers; using orders of magnitude to detect bullshit; free will and quantum economics; and the mathematics of cooperation in a networked world on the brink of a No Future collapse.

For more on Tom, you can follow him on Twitter, read the Technoccult interview with him or listen to this interview on the Acme Science podcast Strongly Connected Components.

EsoZone Portland 2011 will take place over the course of November 18th and 19th. It will include a few pre-scheduled presentations, workshops and performances along with ample free space for ad-hoc “unconference” sessions in the style of BarCamp or Bird of a Feather.

Watch this space for more announcements.

October 14, 2011 0 comments
How Tibetan Singing Bowls Work

How Tibetan Singing Bowls Work

How Tibetan Singing Bowls Work

Ceremonial Tibetan “singing bowls” are beginning to give up their secrets.

The water-filled bowls, when rubbed with a leather-wrapped mallet, exhibit a lively dance of water droplets as they emit a haunting sound.

Now slow-motion video has unveiled just what occurs in the bowls; droplets can actually bounce on the water’s surface.

A report in the journal Nonlinearity mathematically analyses the effect and could shed light on other fluid processes, such as fuel injection.

BBC: Tibetan singing bowls give up their chaotic secrets

(via Edward Borasky)

July 2, 2011 1 comment
The Rise of Predictive Policing: Police Using Statistics to Predict Crime

The Rise of Predictive Policing: Police Using Statistics to Predict Crime

The Minority Report

The Department of Homeland security is field testing a system that will attempt to predict which passengers on an airline are planning terrorist activity, according to Nature. The system, called Future Attribute Screening Technology (FAST) looks at a number of factors, including your pulse, the steadiness of your gaze and the way you walk and calculates the probability that you’re planning to commit a crime. It’s a bit like a polygraph, but it doesn’t require subjects to be connecting to a polygraph.

DHS claims that the system is 70% effective in lab tests.

Nature: Terrorist ‘pre-crime’ detector field tested in United States

But DHS isn’t the only law enforcement agency looking to statistic modeling to predict crime. Earlier this year Slate ran a story on how police departments, including the LAPD and Chicago PD, are researching predictive policing. This projects aren’t about predicting the actions of one individual, Minority Report style, but instead are designed to help decide how best to allocate police resources.

Slate: Can police really predict crime before it happens?.

June 6, 2011 1 comment
“Wisdom of the Crowd” Wiped Out When Individuals Know What Others in the Crowd are Thinking

“Wisdom of the Crowd” Wiped Out When Individuals Know What Others in the Crowd are Thinking

The “wisdom of the crowd” has become a bit of a pop cliché, but it’s backed up by real-world evidence. When groups of people are asked to provide estimates of obscure information, the median value of their answers will often be remarkably close to the right one, even though many of their answers are laughably wrong. But crowds rarely act in the absence of social influences, and some researchers in Zurich have now shown that providing individuals information about what their fellow crowd-members are thinking is enough to wipe out the crowd’s wisdom. [...]

Compared to the control setup, the additional information changed the crowd’s collective behavior dramatically. In what the authors term the “social influence effect,” the panels that were provided with information about their peers quickly narrowed their focus onto a fairly limited set of values, meaning the diversity of their answers decreased. In contrast, the control group retained its initial diversity throughout the repeated rounds of questioning.

Worse still, the panels that were provided with social information narrowed in on answers that were more likely to be wrong.

Ars Technica: Social influences kill the wisdom of the crowd

May 25, 2011 0 comments
Otomata – Flash-based Cellular Automata Music Sequencer

Otomata – Flash-based Cellular Automata Music Sequencer

Otomata

April 17, 2011 8 comments
Patent Filing for Cellular Automata Financial Trading Method and System

Patent Filing for Cellular Automata Financial Trading Method and System

The present invention comprises a method using cellular automata to process existing trading data from traders to generate unprecedented output that improves a wide range of future financial trading decisions and alerts for both individual traders and institutions. However, the method and system of the present invention is not a predictive system based on input of market data and it is not algorithmic. Rather, the method and system instead uses cellular automata logic to mimic human trading behavior. Based on the observations of human trading behavior decisions, the present invention generates an output of buy and sells decisions or simply an alert signal. This use of cellular automata as a basis for evaluating trading behavior provides a different basis for generating trading decisions and alerts and forms a new class of financial alerts over the prior art. The method of using cellular automata logic to process financial trading signals is therefore a paradigm shift in the logic behind trading decisions and alerts. It creates a new kind of technical analysis that features cellular automata interacting with human traders and data.

Free Patents Online: Patent Filing for Cellular Automata Financial Trading Method and System

(via Wade)

See also:

Predicting the Future with Twitter

Pi, Plato, and the Language of Nature

April 1, 2011 0 comments