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25 FEBRUARY 2016

Universal resilience patterns in complex networks

"Resilience, a system's ability to adjust its activity to retain its basic functionality when errors, failures and environmental changes occur, is a defining property of many complex systems. Despite widespread consequences for human health, the economy and the environment, events leading to loss of resilience—from cascading failures in technological systems to mass extinctions in ecological networks—are rarely predictable and are often irreversible. These limitations are rooted in a theoretical gap: the current analytical framework of resilience is designed to treat low-dimensional models with a few interacting components, and is unsuitable for multi-dimensional systems consisting of a large number of components that interact through a complex network. Here we bridge this theoretical gap by developing a set of analytical tools with which to identify the natural control and state parameters of a multi-dimensional complex system, helping us derive effective one-dimensional dynamics that accurately predict the system's resilience. The proposed analytical framework allows us systematically to separate the roles of the system's dynamics and topology, collapsing the behaviour of different networks onto a single universal resilience function. The analytical results unveil the network characteristics that can enhance or diminish resilience, offering ways to prevent the collapse of ecological, biological or economic systems, and guiding the design of technological systems resilient to both internal failures and environmental changes."

(Jianxi Gao, Baruch Barzel & Albert-László Barabási, 17 February 2016, Nature)

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2016Albert-Laszlo Barabasi • Baruch Barzel • biological systems • cascading failure • Cognitive Visualization Lab • complex networkscomplex systems • critical phenomena • data visualisationdroughtecological balance • ecological networks • ecological sustainability • ecological systems • ecosystemenvironmental changeenvironmental statisticsextinctionglobal issuesIBM • IBM Watson • interrelationships • irreversible change • Jianxi Gao • loss of resilience • Mauro Martino • multidimensional systems • network dynamics • network earth • network ecologynetwork model • network relationships • networked interaction • nonlinear phenomena • Northeastern University • one-dimensional dynamics • phase transitions • resiliencespeciationsustainability • system collapse • technological systems • universal resilience function • universal resilience patterns • visual explanations • visual representation graphicallyvisual representations of scientific conceptsvisualising data • wildfire

CONTRIBUTOR

Simon Perkins
22 DECEMBER 2013

Global Technology Outlook 2013: Personalised Education

"An industry at the brink of transformation: The education industry is at the brink of an IT–enabled transformation. This transformation is driven by a demand for quality education that outstrips supply especially in the growth markets, misalignment between education and employment needs, and impatience with inefficiencies of education systems. For example, the government of Brazil is already funding students to go abroad because of a shortage of education infrastructure and quality educators. If growth continues to follow the existing trajectory, India will need about 800 more traditional universities than current levels today of about 350 universities.

Today, the most talked about application of technology to address these gaps is the advent of Massive Open Online Courses, or MOOC, which are growing rapidly. Several startups have emerged including Udacity, Khan Academy and Coursera, with millions of students enrolled across hundreåds of countries. Large amounts of new data are being created, which thus far is untapped for its potential.

What is Personalized Education: Education today is mainly delivered on a one size fits all basis. This is a key cause of the poor quality and inefficiencies associated with the industry. Educational institutions can learn from healthcare by drawing the parallels of doctors to educators, patients to learners, medicine/treatment to courses/learning, and payers to education loan providers. From a technology point of view, the use of electronic health data to form patient records, derive evidence, and provide patient–centric personalized healthcare can be extended to education, with the formulation of digital student records helping to inform and provide personalized learning pathways based on the capabilities of the learner and the desired outcomes.

Implications for the industry: The education industry is ripe for innovation, as new business models are instantiated on the emerging new sources of data, in particular the longitudinal learning data (tracking student information over multiple years in multiple schools). Predictive and prescriptive analytics will be applied to improve outcomes and efficiency. Clustering learners into groups, assigning new learners to existing clusters, identifying when a learner is deviating from a particular path are some possible outcomes. Prescriptive analytics would identify personalized learning pathways, track progress, and provide feedback to ultimately improve timely graduations and employability. Combined with industry demand data, supply estimates could be provided and targeted courses created with intakes tweaked to meet estimated demand. What will it take to succeed?: Ultimately there are many stakeholders who will be involved in improving education. This includes academic institutions, state education departments, students, learning management systems (LMS) and MOOC providers, government social service agencies and corporations. In order to achieve their often–shared goals, particularly to improve graduation and employment rates, they'll need to come together to create an open platform for sharing this data and insights from the analytics."

(William LaFontaine, 2013, IBM Research)

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2013 • Alabama State Education • analyticsBrazilCourseradata integration • demand for quality education • Desire2Learn • digital student records • e-learningeducationeducation and employment • education industry • education shortage • electronic health data • healthcareIBM • IBM Global Technology Outlook (GTO) • IBM Research • IndiaKhan Academy • learning management systems • LMSlongitudinal learning dataMassive Open Online CoursesMOOCsone-size-fits-all solution • outcomes and efficiency • patient records • patient-centric • personalised educationpersonalised healthcarepersonalised learning • personalised learning pathways • predictive analytics • prescriptive analytics • Qatar Supreme Education • study abroadUdacity

CONTRIBUTOR

Simon Perkins
18 DECEMBER 2013

Video lecture of the December TEL Event at Bournemouth University

"BU December TEL Event", Uploaded on 17 Dec 2013 by BU Business School.

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2013Blackboard (LMS)Bournemouth UniversityBrazil • Centre for Excellence in Media Practice (CEMP) • creating and integrating small dataDesire2Learneducation technology • Gelareh Roushan • IBMIndian • internet learning • John East • learning engagementlearning technologyLMS • Media School at Bournemouth University • MOOCspeople and organisationspersonalised educationpersonalised healthcareRaspberry PiRavensbourneremote learningresearch and innovation • reverse outsourcing • small data • Small Private Online Course (SPOC) • SPOCs • Stephen Heppellstudent engagementTELvideo lecture • window on the world • Wipro Technologies Ltd

CONTRIBUTOR

Simon Perkins
24 NOVEMBER 2013

PhoneGap: Adobe's mobile development framework

"Building applications for each device–iPhone, Android, Windows Mobile and more–requires different frameworks and languages. PhoneGap solves this by using standards–based web technologies to bridge web applications and mobile devices. Since PhoneGap apps are standards compliant, they're future–proofed to work with browsers as they evolve."

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2012Adobe Systems IncAndroid OS • Apache Callback • Apache Cordova • Apache License • Apache Software Foundation (ASF)application developmentappsBlackBerry Ltdcross-platformCSS3 • device-specific languages • enabling technologiesHTML5 • hybrid code snippets • hybrid technologyIBMinteroperabilityiOS • iPhone application development • JavaJavaScriptMicrosoftmobile apps • mobile development framework • mobile devices • mobile platform • native code snippets • native device APIs • Nitobi Software • Objective-C • open frameworkopen source • open source framework • open source platform • PhoneGap • PhoneGap Deploy • platform independent • Research in Motion (RIM) • RIM • SDKsoftware deploymentsoftware framework • software wrapper • standardisationstandards compliantstandards-based web technologiesweb application developmentweb standardsweb technologiesWindows Mobile

CONTRIBUTOR

Simon Perkins
09 JANUARY 2013

Roberto Busa and the Invention of the Machine-Generated Concord

"This is a story from early in the technological revolution, when the application was out searching for the hardware, from a time before the Internet, a time before the PC, before the chip, before the mainframe. From a time even before programming itself.

Tasman's 1957 prophecy was no shot in the dark. His view of the future was a projection from his recent past. Thomas J. Watson, Sr. had assigned him in 1949 to be IBM liaison and support person for a young Jesuit's daring project to produce an index to the complete writings of St. Thomas Aquinas. First, Tasman's thesis, as subsequent history turned out, was a huge understatement; and second, it essentially defines the first large invention of Father Roberto Busa, S. J., namely, to look at 'tools developed primarily for science and commerce' and to see other uses for them. As will be seen, this was a case of fortune favoring the prepared mind. Redirecting scholarship, he essentially invented the machine–generated concordance, the first of which he had published in 1951.

Father Busa, of course, is best known as the producer of the landmark 56–volume Index Thomisticus. As he began this work in 1946, and produced a sample proof–of–concept, machine–generated concordance in 1951, his professional life spans the entire computing chapter in the history of scholarship. Emphasis in this article will be on the early steps."

(Thomas Nelson Winter, January 1999)

Published in The Classical Bulletin 75:1 (1999), pp. 3–20. Copyright © 1999 Bolchazy–Carducci Publishers, Inc.

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1946194919511957 • analytical indexes • automatically analysing • automatically indexing • computing • concordance • concordances • Dead Sea Scrolls • electronic data processing machine • fortune favouring the prepared mind • history of computinghistory of scholarshipIBM • IBM 705 • Index Thomisticus • indexing • International Business Machines Corporation • literary data processing • machine-generated concordance • Paul Tasman • printed works • proof of concept • prophecy • punch cardspunched-card system • rapid compilation • Roberto Busa • science and commerce • St Thomas Aquinas • Summa Theologica of St Thomas Aquinas • technological revolution • Thomas Nelson Winter • Thomas Watson • tools developed for science and commerce

CONTRIBUTOR

Simon Perkins
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