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Tag: SYSTEMS/CHAOS/PATTERN FORMATION/COMPLEXITY
Unraveling 66 million years of climate history from ocean sediments
Based on extensive data analysis, an international team publishes global reference curve in the journal Science
Why crisis happen, and how systems react to turbulence: A manifesto for economic research
In a book co-authored by Massimo Riccaboni, professor of economics at IMT School, a new perspective on innovation and growth
Is APM the best way to evaluate NBA players?
Syracuse, N.Y. – A recent study by sport analytics professors shows the Adjusted Plus-Minus (APM) statistic used to evaluate the performance of NBA players is sometimes misleading because it does not accurately account for the quality of a player’s teammates.…
Deep underground forces explain quakes on San Andreas Fault
Rock-melting forces occurring much deeper in the Earth than previously understood appear to drive tremors along a notorious segment of California’s San Andreas Fault, according to new USC research that helps explain how quakes happen. The study from the emergent…
New mathematical method shows how climate change led to fall of ancient civilization
A Rochester Institute of Technology researcher developed a mathematical method that shows climate change likely caused the rise and fall of an ancient civilization.
Towards new algorithms and discretization
Mathematician of the University of Jena awarded an ERC Starting Grant
New mathematical method shows how climate change led to fall of ancient civilization
Chaos paper by RIT Assistant Professor Nishant Malik applies method to Indus Valley Civilization
A small number of self-organizing autonomous vehicles significantly increases traffic flow
With the addition of just a small number of autonomous vehicles (AVs) on the road, traffic flow can become faster, greener, and safer in the near future, a new study suggests. The study, published in Journal of Physics A: Mathematical…
Managing data flow boosts cyber-physical system performance
Researchers from North Carolina State University have developed a suite of algorithms to improve the performance of cyber-physical systems – from autonomous vehicles to smart power grids – by balancing each component’s need for data with how fast that data…
Researchers set sights on theory of deep learning
DOD-funded team is developing guiding principles for popular form of AI
Detailed dataset of measures to curb COVID-19 ready for statistical analyses
The Complexity Science Hub Vienna compiled more than 6,000 governmental interventions from 56 countries and 24 US states in unprecedented granularity.
Thermodynamics of computation: A quest to find the cost of running a Turing machine
Turing machines were first proposed by British mathematician Alan Turing in 1936, and are a theoretical mathematical model of what it means for a system to “be a computer.” At a high level, these machines are similar to real-world modern…
Journalists invited to cover the Virtual HLF this September 21-25
Traverse separation with a diverse online scientific program
Why COVID-19 infection curves behave so unexpectedly
Scientists at the Complexity Science Hub Vienna are the first to offer an explanation for the linear growth of coronavirus infection curves.
Fear of stricter regulations spurs gun sales after mass shootings, new analysis suggests
It’s commonly known that gun sales go up after a mass shooting, but two competing hypotheses have been put forth to explain why that’s the case: is it because people fear more violence and want to protect themselves, or is…
Study ties gun purchases to fear of firearm regulations, kicks off major research
A new firearm study led by NYU Tandon Institute Professor Maurizio Porfiri reveals why people buy guns after a mass shooting; It kicks off a much larger study — the first of its kind — on individual, state, and national drivers of firearm behavior
Mathematical patterns developed by Alan Turing help researchers understand bird behavior
Scientists from the University of Sheffield have used mathematical modelling to understand why flocks of long-tailed tits segregate themselves into different parts of the landscape. The team tracked the birds around Sheffield’s Rivelin Valley which eventually produced a pattern across…
Network of sounds: New research reveals the magic secret of human networks
Synchronization, in which a complex system operates as one body, is an important phenomenon that takes place in an enormous range of scales — from subatomic particles to galaxies. In biology, fish, birds, and even cells synchronize in order to…
How maths modelling helps efforts to eradicate banana bunchy top virus, QUT study
QUT develops new model to track probability of banana plant infection
Updating Turing’s model of pattern formation
Through fresh analysis of a method first proposed by Alan Turing to explain the diversity of natural patterns, a team of researchers offer new explanations of how living systems can order themselves on large scales
Study finds dedicated clinics can reduce impact of flu pandemic
A new study concludes that opening clinics dedicated specifically to treating influenza can limit the number of people infected and help to “flatten the curve,” or reduce the peak prevalence rate. While the work focused on influenza, the findings are…
Statistician John Brian Copas to receive Third Akaike Memorial Lecture Award
British statistician John Brian Copas will be awarded the Akaike Memorial Lecture Award, the Japanese statistical research community’s major prize, for his many contributions to the study of data bias in the fields of medical statistics, econometrics and psychometrics. He…
How the zebrafish got its stripes
Animal patterns – the stripes, spots and rosettes seen in the wild – are a source of endless fascination, and now researchers at the University Bath have developed a robust mathematical model to explain how one important species, the zebrafish, develops its stripes.
Optimizing neural networks on a brain-inspired computer
Many computational properties are maximized when the dynamics of a network are at a “critical point”, a state where systems can quickly change their overall characteristics in fundamental ways, transitioning e.g. between order and chaos or stability and instability. Therefore,…
Spider monkey groups as collective computers
The wild spider monkeys living in a protected area near Punta Laguna, Mexico, collectively figure out good ways to divide up and conquer the forest. These monkeys live in a special type of society called a “fission-fusion” society. The group…
Spider monkey groups as collective computers
The wild spider monkeys living in a protected area near Punta Laguna, Mexico, collectively figure out good ways to divide up and conquer the forest. These monkeys live in a special type of society called a “fission-fusion” society. The group…
Ultracold mystery: Solved
By manipulating ultracold molecules mid-chemical reaction, researchers crack a molecular disappearing act
A new theory about political polarization
A new model of opinion formation shows how the extent to which people like or dislike each other affects their political views–and vice versa. The resulting division of societies can even become a matter of life and death, as the current crises show.
Researchers use machine learning to build COVID-19 predictions
BINGHAMTON, NY — As parts of the U.S. tentatively reopen amid the COVID-19 pandemic, the nation’s long-term health continues to depend on tracking the virus and predicting where it might surge next. Finding the right computer models can be tricky,…
A new theory about political polarization
A new model of opinion formation shows how the extent to which people like or dislike each other affects their political views–and vice versa. The resulting division of societies can even become a matter of life and death, as the current crises show.
No keys to the kingdom: New single sign-on algorithm provides superior privacy
Researchers develop cryptographic scheme that completely hides your personal information from third parties when using single sign-on systems.
No keys to the kingdom: New single sign-on algorithm provides superior privacy
Researchers develop cryptographic scheme that completely hides your personal information from third parties when using single sign-on systems.
Researchers use machine learning to build COVID-19 predictions
BINGHAMTON, NY — As parts of the U.S. tentatively reopen amid the COVID-19 pandemic, the nation’s long-term health continues to depend on tracking the virus and predicting where it might surge next. Finding the right computer models can be tricky,…
Imaging magnetic instabilities using laser accelerated protons
An international team of researchers highlighted two variants of Weibel’s instability
Imaging magnetic instabilities using laser accelerated protons
An international team of researchers highlighted two variants of Weibel’s instability
Brexit’s and research networks: Lower efficiency, reorganization of research communities
An analysis of 19,200 private companies, research organizations, public entities and higher education institutions involved in Horizon 2020 projects shows a loss of efficiency in some sectors if U.K. organizations are removed.
Brexit’s and research networks: Lower efficiency, reorganization of research communities
An analysis of 19,200 private companies, research organizations, public entities and higher education institutions involved in Horizon 2020 projects shows a loss of efficiency in some sectors if U.K. organizations are removed.
Envy divides society
A game theoretical study shows that envy coupled with competition divides society into an upper and lower class
Envy divides society
A game theoretical study shows that envy coupled with competition divides society into an upper and lower class
New analysis of human portraits reveals shift in culture, cognition
Throughout history, portraits featuring the human profile have evolved to reflect changing cultural norms. A new study led by Helena Miton, a Santa Fe Institute Omidyar Fellow, and co-authored by Dan Sperber of Central European University and Miko?aj Hernik, of…
New analysis of human portraits reveals shift in culture, cognition
Throughout history, portraits featuring the human profile have evolved to reflect changing cultural norms. A new study led by Helena Miton, a Santa Fe Institute Omidyar Fellow, and co-authored by Dan Sperber of Central European University and Miko?aj Hernik, of…
All that base
BE-Hive, a new machine learning model predicts which base editor performs best to repair thousands of disease-causing mutations
Can’t concentrate at work? This AI system knows why
Computer scientists have developed a way to measure staff comfort and concentration in flexible working spaces using artificial intelligence.
Can’t concentrate at work? This AI system knows why
Computer scientists have developed a way to measure staff comfort and concentration in flexible working spaces using artificial intelligence
Can’t concentrate at work? This AI system knows why
Computer scientists have developed a way to measure staff comfort and concentration in flexible working spaces using artificial intelligence
Genome evolution goes digital
Move over codons — flipons are the faster way to evolve
Swing voters, swing stocks, swing users
Scientists develop a general technique for identifying swing components
Topology sheds new light on synchronization in higher-order networks
Like an orchestra playing in time without a conductor, the elements of a complex system can naturally synchronize with each other. This collective phenomenon, known as synchronization, occurs throughout nature, from neurons firing together in the brain to fireflies flashing…
Topology sheds new light on synchronization in higher-order networks
Like an orchestra playing in time without a conductor, the elements of a complex system can naturally synchronize with each other. This collective phenomenon, known as synchronization, occurs throughout nature, from neurons firing together in the brain to fireflies flashing…