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Edgar Analytics & Complex Systems
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Cloud and Big Data, Together: A Huge Springboard to Innovation - Forbes

Cloud and Big Data, Together: A Huge Springboard to Innovation - Forbes | Edgar Analytics & Complex Systems | Scoop.it
Forbes Cloud and Big Data, Together: A Huge Springboard to Innovation Forbes This sentiment was recently expressed in an interview with Motley Fool analyst Tim Byers, who analyzed the zeitgeist coming out of the South-by-Southwest (SXSW) conference...
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Big Data: A Revolution That Will Transform How We Live, Work, and ...

Big Data: A Revolution That Will Transform How We Live, Work, and ... | Edgar Analytics & Complex Systems | Scoop.it
One of the many fascinating big data analysis examples recounted in the book is the story of how a crack team of young data scientists found a way to identify “Illegal conversion” in New York—the practice of cutting up a ...
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Big Data Under Attack - Huffington Post (blog)

Big Data Under Attack - Huffington Post (blog) | Edgar Analytics & Complex Systems | Scoop.it
Big Data Under Attack
Huffington Post (blog)
But what if you don't have the algorithms and the requisite supernerds to analyze that data? This is a real problem.
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Building the Massive Simulation Sets Essential to Planck Results

Building the Massive Simulation Sets Essential to Planck Results | Edgar Analytics & Complex Systems | Scoop.it
Berkeley CA (SPX) Mar 19, 2013 - To make the most precise measurement yet of the cosmic microwave background (CMB) - the remnant radiation from the big bang - the European Space Agency's (ESA's) Planck satellite mission has been co.
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Demystifying the 'Big Deal' about Big Data - CXOtoday.com

Demystifying the 'Big Deal' about Big Data - CXOtoday.com | Edgar Analytics & Complex Systems | Scoop.it
The web is adrift with overindulgent buzz words like Big Data and Data Scientist. It seems to be ...
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Large Data Analytics Made Easy with Google BigQuery ...

Large Data Analytics Made Easy with Google BigQuery ... | Edgar Analytics & Complex Systems | Scoop.it
where computer science meets social science. Search for: About · SiliconANGLE Pro Reports · Editorial Masthead · SILICON ANGLE · CLOUD ...
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CFP: Springer CASM Special Issue on Modeling Large-scale Communication Networks


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Data Enthusiasts Convene at the Bank to Tackle Poverty and Anti-Corruption - World Bank Group

Data Enthusiasts Convene at the Bank to Tackle Poverty and Anti-Corruption World Bank Group More than 150 topic experts, data scientists, civic “hackers,” civil society groups and development practitioners gathered for the DC Big Data Exploration...
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Balance between Noise and Information Flow Maximizes Set Complexity of Network Dynamics

Boolean networks have been used as a discrete model for several biological systems, including metabolic and genetic regulatory networks. Due to their simplicity they offer a firm foundation for generic studies of physical systems. In this work we show, using a measure of context-dependent information, set complexity, that prior to reaching an attractor, random Boolean networks pass through a transient state characterized by high complexity. We justify this finding with a use of another measure of complexity, namely, the statistical complexity. We show that the networks can be tuned to the regime of maximal complexity by adding a suitable amount of noise to the deterministic Boolean dynamics.(...) Our results suggest that the maximization of complexity near to the state transition might be a more general phenomenon in physical systems, and that noise present in a system may in fact be useful in retaining the system in a state with high information content.

 

Mäki-Marttunen T, Kesseli J, Nykter M (2013) Balance between Noise and Information Flow Maximizes Set Complexity of Network Dynamics. PLoS ONE 8(3): e56523. http://dx.doi.org/10.1371/journal.pone.0056523


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Knowledge Discovery from Mining Big Data - Astronomy Computing ...

Knowledge Discovery from Mining Big Data - Astronomy Computing ... | Edgar Analytics & Complex Systems | Scoop.it
Broadly speaking, this involves the application of machine learning (“Knowledge Discovery in Databases”) to big data. There are four classes of machine learning problems in big-data science: Correlation Discovery.
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Journalists reporting the end of journalism as a profession - Fabius Maximus (blog)

Journalists reporting the end of journalism as a profession - Fabius Maximus (blog) | Edgar Analytics & Complex Systems | Scoop.it
Fabius Maximus (blog)
Journalists reporting the end of journalism as a profession
Fabius Maximus (blog)
Now they have the opportunity to do first person reporting, as computers replace professionals. Like journalists.
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Q&A: Tom Davenport urges more clarity in data analytics - SmartPlanet.com (blog)

Q&A: Tom Davenport urges more clarity in data analytics - SmartPlanet.com (blog) | Edgar Analytics & Complex Systems | Scoop.it
Q&A: Tom Davenport urges more clarity in data analytics SmartPlanet.com (blog) I recently had the opportunity to chat with Tom Davenport, visiting professor at Harvard University and co-author of the seminal work Competing on Analytics: The New...
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How cloud computing is revolutionizing pharma and genomics | Solr ...

How cloud computing is revolutionizing pharma and genomics | Solr ... | Edgar Analytics & Complex Systems | Scoop.it
automating science to enable the art ... The takeaway was clear: Cloud Computing, Full Text Search, and Big Data are revolutionizing genomics and pharmaceutical research. So much compute ...
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Thinking Big: Tools, Resources, and Strategies to Bring Big Data to the Classroom - Campus Technology

Thinking Big: Tools, Resources, and Strategies to Bring Big Data to the Classroom - Campus Technology | Edgar Analytics & Complex Systems | Scoop.it
TechWeekEurope UK
Thinking Big: Tools, Resources, and Strategies to Bring Big Data to the Classroom
Campus Technology
The tools we use every day are quietly producing enormous amounts of data.
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Online learning: Campus 2.0

Online learning: Campus 2.0 | Edgar Analytics & Complex Systems | Scoop.it

The ferment is attributable in part to MOOCs hitting at exactly the right time. Bricks-and-mortar campuses are unlikely to keep up with the demand for advanced education: according to one widely quoted calculation, the world would have to construct more than four new 30,000-student universities per week to accommodate the children who will reach enrolment age by 2025 (...), let alone the millions of adults looking for further education or career training. Colleges and universities are also under tremendous financial pressure, especially in the United States, where rocketing tuition fees and ever-expanding student debt have resulted in a backlash from politicians, parents and students demanding to know what their money is going towards.

 

Online learning: Campus 2.0

M. Mitchell Waldrop

http://www.nature.com/news/online-learning-campus-2-0-1.12590


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Data-Driven Companies Outperform Competitors Financially - IDG News Service

Data-Driven Companies Outperform Competitors Financially IDG News Service Companies that have embraced a data-driven culture--rating themselves substantially ahead of their peers in their use of data--are three times more likely to rate themselves...
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How Natural Selection Can Create Both Self- and Other-Regarding Preferences, and Networked Minds

How Natural Selection Can Create Both Self- and Other-Regarding Preferences, and Networked Minds | Edgar Analytics & Complex Systems | Scoop.it

Biological competition is widely believed to result in the evolution of selfish preferences. The related concept of the ‘homo economicus’ is at the core of mainstream economics. However, there is also experimental and empirical evidence for other-regarding preferences. Here we present a theory that explains both, self-regarding and other-regarding preferences. Assuming conditions promoting non-cooperative behaviour, we demonstrate that intergenerational migration determines whether evolutionary competition results in a ‘homo economicus’ (showing self-regarding preferences) or a ‘homo socialis’ (having other-regarding preferences). Our model assumes spatially interacting agents playing prisoner's dilemmas, who inherit a trait determining ‘friendliness’, but mutations tend to undermine it. Reproduction is ruled by fitness-based selection without a cultural modification of reproduction rates. Our model calls for a complementary economic theory for ‘networked minds’ (the ‘homo socialis’) and lays the foundations for an evolutionarily grounded theory of other-regarding agents, explaining individually different utility functions as well as conditional cooperation.

 

How Natural Selection Can Create Both Self- and Other-Regarding Preferences, and Networked Minds

Thomas Grund, Christian Waloszek & Dirk Helbing

Scientific Reports 3, Article number: 1480 http://dx.doi.org/10.1038/srep01480


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