Remove Analytics Remove Design Remove Patterns Remove Research

Social Physics - Reinventing Analytics to Better Predict Human Behaviors

Irving Wladawsky-Berger

The book was the result of over a decade’s worth of research in the Human Dynamics group at MIT’s Media Lab. T hey eventually discovered that all event-data representing human activity contain a special set of social activity patterns regardless of what the data is about.

Researching open online courses

George Siemens

One area that I haven’t devoted much attention to is that of distributed online research networks. Most people in higher education participate in research networks – even if the network is merely a means of connecting researchers in different locations, with each running their own labs and research programs. While hardly novel, we are developing a distributed online research program around upcoming (massive) open online courses (MOOCs).

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Design principles in DSS software

Dave Snowden

the next generation of Risk Assessment and Horizon Scanning system for Singapore and as one of the main designers of 1.0 Now Jeff and I provide different perspectives on the whole issue of how you find patterns, my emphasis on human metadata compliments his ability to mash the numbers.

Emergent & Semantic Learning

Clark Quinn

When we built the Intellectricity ™ system, we had a batch of rules that guided how we were sequencing the content, based upon research on learning (rather than hardwiring paths, which is what we mostly do now). Which helps explain the growing interest in analytics.

The Top Ten Emerging Technologies of 2017

Irving Wladawsky-Berger

Precision Farming Increases Crop Yields - “Combining sensors and imaging of every plant with real-time data analytics improves farm outputs and reduces waste”. As new data is ingested, the system rewires itself based on whatever new patterns it now finds.

A Framework for Building AI Capabilities

Irving Wladawsky-Berger

In the 1960s and 1970s, IT brought automation to a number of discrete business processes, including transaction processing, financial planning, engineering design, inventory management, payroll and personnel records.

Data 207

Why Do We Need Data Science when We’ve Had Statistics for Centuries?

Irving Wladawsky-Berger

I decided to switch fields and in 1970 joined the computer science department at IBM’s Watson Research Center. He asked me what I planned to do research on for my degree, and I told him that I was already working with Professor Roothaan on atomic and molecular calculations.

Artificial Intelligence is Ready for Business; Are Businesses Ready for AI?

Irving Wladawsky-Berger

In the past few years, the necessary ingredients have come together to propel AI beyond the research labs into the marketplace: powerful, inexpensive computer technologies; advanced algorithms and models; and most important, oceans and oceans of data. AI is now seemingly everywhere.

Data 215

New Study: When NBA Players Touch Teammates More, They and.

Bob Sutton

Design school project teaches bike safety - The Stanford Daily Online. Tim Brown: Change by Design: How Design Thinking Transforms Organizations and Inspires Innovation. Davenport: Competing on Analytics: The New Science of Winning. Bill Moggridge: Designing Interactions.   A research paper is not a murder mystery.  As the researchers emphasize. more research is needed, but this study at least suggests that it is worth doing. 

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A Framework for Building AI Capabilities

Irving Wladawsky-Berger

In the 1960s and 1970s, IT brought automation to a number of discrete business processes, including transaction processing, financial planning, engineering design, inventory management, payroll and personnel records.

Data 161

Can AI Help Translate Technological Advances into Strategic Advantage?

Irving Wladawsky-Berger

A recent Harvard Business Review article, - Designing the Machines that Will Design Strategy , - takes these questions a few steps further. What technology, people, and design do I need to address these aims?

Social Media Planning and Evaluation for NGOs | Full Circle Associates

Nancy White

This topic is designed to give you some tools and ideas for including social media appropriately in your overall organizational strategic plan and to measure its effectiveness. Track how many times a blog post has been viewed (using your blog software or a tool like Google Analytics ).

Data-Driven Decision Making: Promises and Limits

Irving Wladawsky-Berger

Considerable research is needed as we learn how to strike the right balance between such data-driven decision making and privacy. . The ordered world is the world of facts-based management; the unordered world represents pattern-based management.” .

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Determinism, Best Practice, and the ‘Training Solution’

Charles Jennings

If a chemical engineer is looking to design a new process or parameters for distillation in a chemical plant she may be able to identify the volumes and sequences that produce the highest amount of pure distillate.

The future of higher education and other imponderables

George Siemens

At last count, I’ve been to over 30 countries and have interacted with university presidents, VP academics, European Union education ministers, researchers, national research initiatives, faculty, grad students, students, and many others. Research and dissemination.

Strata Conference Wrap Up: Big Data, Big Opportunities

George Siemens

I’ve had a bit of trouble carving out time to write concluding thoughts about the event (time deficiency is mainly due to last minutes activities related to our Learning and Knowledge Analytics Conference ). Blackboard Analytics : “Transforming data into actionable information.

Data 204

New Tools Beget Revolutions: Big Data and the 21st Century Information-based Society

Irving Wladawsky-Berger

The] big data of this revolution is far more powerful than the analytics that were used in the past,” wrote Brynjolfsson and Andy McAfee in a recent Harvard Business Review article: Big Data: The Management Revolution. “We On May 22 I attended the 2013 MIT Sloan CIO Symposium.

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The Top Ten Emerging Technologies of 2017

Irving Wladawsky-Berger

Precision Farming Increases Crop Yields - “Combining sensors and imaging of every plant with real-time data analytics improves farm outputs and reduces waste”. Sustainable Design of Communities Dramatically Reduces Waste - “Moving beyond the green-home level, ambitious projects are attempting to join blocks of buildings into a single sustainable unit”. As new data is ingested, the system rewires itself based on whatever new patterns it now finds.

practice, creativity, and insight

Harold Jarche

Our research was key to the 10,000-hour rule, but here’s what got oversimplified. “The machine versus human debate has actually divided big data analytics experts into two camps. Every fortnight I curate some of the observations and insights that were shared on social media.

A Framework for Building AI Capabilities

Irving Wladawsky-Berger

In the 1960s and 1970s, IT brought automation to a number of discrete business processes, including transaction processing, financial planning, engineering design, inventory management, payroll and personnel records. Cognitive insight projects take AI to the next level, using machine learning and other advanced algorithms to detect patterns in vast volumes of data.

intangible value

Harold Jarche

Value network modeling and analytics reflect the true nature of collaboration with a systemic human-network approach to managing business operations. You can’t plan networks or force fit them into any pattern.

Big Data Takes Center Stage

Irving Wladawsky-Berger

Sampling requires anticipating how the data will be used so you can design the proper sample. When there was not that much data around, researchers had to make sure that the figures they bothered to collect were as exact as possible.

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A Useful Framework for Analyzing the Impact of Technology on Jobs

Irving Wladawsky-Berger

Last week I discussed a recent Pew Research report on the impact of AI, robotics and other advanced technologies on the future of jobs. As a 2012 NY Times article noted, it took Google researchers 16,000 processors to teach a machine to identify a cat using machine learning principles.

Artificial Intelligence is Ready for Business; Are Businesses Ready for AI?

Irving Wladawsky-Berger

In the past few years, the necessary ingredients have come together to propel AI beyond the research labs into the marketplace: powerful, inexpensive computer technologies; advanced algorithms and models; and most important, oceans and oceans of data. A common theme throughout the report is that the same players who were leaders in the earlier waves of digitization and analytics are now leading in the AI wave. It can discern trends and patterns that can be acted on.”.

The Great Reset

John Hagel

The history of Great Resets He has just written a compelling new book, The Great Reset , that takes a longer term historical view of changing patterns in the settlement of people and places.   As it takes shape around new infrastructure and systems of transportation, it gives rise to new housing patterns, realigning where and how we live and work.  Here’s a paradox.    Silicon Valley’s success hinges on an explosive mix of people and place. 

Edge Perspectives with John Hagel: The Power of Power Laws

John Hagel

In many respects, the history of Western business in the twentieth century represents an effort to build scalable operations through standardization designed to serve “average consumers”. The problem is that most of our analytical tools are designed to understand Gaussian worlds.

[liveblog] International Conf. of Univ. Libs: Morning talks

David Weinberger

Look at user needs to design services. We generate lots of data, which allows us to be strategic, looking for patterns of use. We can do predictive analytics. [ She goes through some analytics with charts that I cannot capture. ]. Some data: In academic libraries, initial circulation is down 44% since 1991 and reference questions are down 69% (source: Association of Research Libraries).

My Viva

Stephen Downes: Half an Hour

Like this: Again, these activations do not stand for anything; they are simply characteristic patterns of spreading activation that occur in the presence of a stimulus. The presumption in the question is that my new research builds on or extends previous research.

Social Business in the Age of the Customer

Irving Wladawsky-Berger

The Social CIO , a recently published study by Forrester Research , concludes that the number of businesses that are truly executing social initiatives remains surprisingly small. In other words, it is no longer enough for graduates to excel in functional, analytical and technical areas. With the advent of social technologies and the unifying vision of systems of engagement, businesses needn’t follow this pattern.

Innovation in an Age of Austerity

Irving Wladawsky-Berger

On December 7 I participated in an Innovation Summit sponsored by the UK Innovation Research Centre (UK-IRC) at the University of Cambridge. The UK-IRC is “a collaborative initiative for cutting-edge research and knowledge exchange activities on how innovation can make businesses more competitive, improve public services delivery and help the UK meet the social, environmental and economic challenges it faces.”

The 2016 Look at the Future of Online Learning

Stephen Downes: Half an Hour

Seven Key Technology Patterns 1. Predictive analytics will grow in significance in terms of student retention and learner support. I did a double take when I read this, since I thought we were done with analytics, but the author assumed (I guess) that we need a whole second class of analytics, this time to predict what students will do. Five Key Features of Online Learning Which Technology Patterns Will Enable 1.

Seminar on MOOCs, Lyon, France, Day 2

Stephen Downes: Half an Hour

LIRIS, Universite Lyon Research questions and methods on the MOOC: what''s new? model - design run the MOOC, evaluate for knwoledge - eg. analytics - richness of social networks but: processing is more marketing than cognitive so far (A/B testing) - and the tension between the individual and the collective plus: the ideology of reducing everything to numbers - education as technology - does big data explain or does it merely predict? -

195 posts about MOOCs

Jay Cross

Designing and running a MOOC (in 9 easy steps) GEORGE SIEMENS | TUESDAY, SEPTEMBER 4, 2012. X-based learning: sorting out pedagogies and design CLARK QUINN | THURSDAY, APRIL 12, 2012. Researching open online courses GEORGE SIEMENS | MONDAY, JULY 4, 2011. Page 1 of 2.

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Leadership and Rational Thinking

Irving Wladawsky-Berger

Ferrucci compared the computational patterns in Watson with leadership in a complex, uncertain world. Another panelist, MIT professor Tom Malone , talked about the research that he and his collaborators are conducting on collective intelligence. In this recent article on his research, Professor Malone said: “Intuitively, we still attribute too much to individuals and not enough to groups.

Beyond Institutions Personal Learning in a Networked World

Stephen Downes: Half an Hour

Thinking in Models: for Design, for Learning… A large part of this talk is about that change. We''re told there will be analytics and data-driven management. Models of how to do learning, learning design patterns: Grainne Conole has done a lot on this.

The Diminishment of Don Draper

Andy McAfee

Watching him, I was reminded of Cayce Pollard, the heroine of William Gibson ‘s novel Pattern Recognition. He brushes off input from account executive Pete Campbell (who is admittedly a tool and a back-stabber) and throws away a research report on smoking written by a Freudian psychologist (OK, that might not be such a bad idea…). Each was shown a screen of three possible packaging designs and asked to select their favorite.

What I've Learned From Philosophy

Stephen Downes: Half an Hour

There are many ways to define things: we can point to them, we can say what they contain, we can say what properties they have, we can talk about what they do, what they were designed to do, what they actually do, what they might do, we can say what they're for, we can talk about where they're from or who (or what) created them, and on and on. The collapse of the analytic-synthetic distinction means that no statement is wither purely syntactical or purely semantical.

Getting Insight from Facebook Insight Requires Sense Making Skills

Beth Kanter

Robin Good curated this article about research on future workplace skills. Design mindset: ability to represent and develop tasks and work processes for desired outcomes. Look for the Patterns. Next look at the comments and see if you can detect any patterns. [link].

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Connective Knowledge and Open Resources

Stephen Downes: Half an Hour

I was trying to get them to spot fallacies by recognizing them, by seeing signs that would remind them of common patterns of argument. When I’m asked to define OERs I use the UNESCO definition, which is, “teaching, learning or research materials that are in the public domain or released with an intellectual property license that allows for free use, adaptation, and distribution.” Whether the learning analytics(LA) can be think as problem-solving techniques?

[liveblog] Noam Chomsky and Bart Gellman at Engaging Data

David Weinberger

Used standard analytics techniques to find that white people are 4x more likely to get pardons, that campaign contributors are also more likely. LS: Does it bug you that the NSA uses your research? The more we know, the more we can design policies to keep power in place. And now hardware in computers is being designed to detect your every keystroke, leading some Americans to be wary of Chinese-made computers, but the US manufacturers are probably doing it better.

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Notes from: MOOCs for Development

Stephen Downes: Half an Hour

intended for massive numbers, but doesn''t prevent designing programs for the needs of a specific group - add that the blend no matter where allows for a collective learning experience - what kind of pedagogy? Welcoming Intro Ezekiel Emmanue l - MOOCs ''democratizing'' education? (vs?

E-Learning Generations

Stephen Downes: Half an Hour

Another key idea was the design of the gaming space itself.Early computer games (and many early arcade games) were designed likeprogrammed learning: they were like a flow chart, guiding you through a seriesof choices to a predetermined conclusion. You can begin to see a pattern developing here. To this day, the learningmanagement system is designed essentially to present content and supportdiscussion and activities around that content.

Presentation to UNCTAD's Advisory Group on "Developing skills, knowledge and capacities through innovation: E-Learning, M-Learning, cloud-Learning"

Stephen Downes: Half an Hour

Only after this, do we move into the idea, of learning design and pedagogy, which is drawn primarily from the field of distance learning, where courses are rounded up as packages, or what we might call program texts, designed to lead the student through a course of instruction. You begin to think in course packages complete with content, learning design, everything you need for an online course. It is, in many ways, an unbundling of this traditional course design.

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