Remove Complexity Remove Design Remove Patterns Remove Research

hyper-connected pattern seeking

Harold Jarche

From a recent post by the BBC : Crucial in surviving all of these unpredictable variables is the use of network design tools – software suites that can simulate what happens at the point of disaster. Here is more confirmation that work is learning, and learning is the work.

Complexity and Public Administration

Dave Snowden

Some 10 years ago now when I first became interested in how complexity science might be used in public administration there was a body of thinking but relatively few practical examples of applications. So what is applying complexity thinking to public policy really all 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).

Course 164

Complexity and Collaboration

Harold Jarche

timkastelle Nice post from @EskoKilpi: Complexity. The Internet changes the patterns of connectivity and makes possible new enriching variety in interaction. The sciences of complexity change our perspective and thinking. Following the thinking presented by the most advanced scientific researchers, the important question to answer is not what should happen in the future, but what is happening now? Tags: Friday's Finds complexity

Design principles in DSS software

Dave Snowden

Thursday and Friday is a mixture of a foresight event and a complexity conference and I then return home on Saturday. the next generation of Risk Assessment and Horizon Scanning system for Singapore and as one of the main designers of 1.0

Six habits for visual designers new to UX design.

Adaptive Path

I haven’t noticed much basic guidance for visual designers new to the UX world. Often these are positions designing for singular needs. Develop an eye for patterns. Reoccurring themes can be as simple as a control repeated in a user flow or as complex as scripted interactions. The more you look at wireframes and schematics, the more you can pinpoint patterns to describe. Siloing yourself strictly to visual design is too isolating.

Design 176

All Social is Learning | Organizational Knowledge Design

Martijn Linssen

Home About Complexity Reading List Knowledge Management Reading List All Social is Learning John 8 comments Decision Science , Social Media Nov 22 I’ve been reflecting lately on my brief sojourn into education reform prior to returning to “the world.”

Design 249

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.

Edge Perspectives with John Hagel: Retailers and Customers

John Hagel

Almost a decade ago, I detected an intriguing pattern regarding the unbundling and rebundling of firms (purchase unfortunately required). Of course, the pace and trajectory of unbundling (and related rebundling) differs across industries and geographies – the patterns are complex and fractal.

The Simple Test and Complex Phenomena

Stephen Downes: Half an Hour

And this quiz fits true to the pattern: A was the correct response 2 times, B 4 times, C 6 times, D 2 times, E none, and F once.) And it can be expressed generally as the following: The test author believes (based on some research, which is never cited) that "Learning is better if F" where 'F' is some principle, such as "Performance objectives that most clearly specify the desired learner behavior will produce the best instructional design." Test the page after design b.

Feed the Habit: Digital Multitasking

Adaptive Path

During a recent research and strategy project at Adaptive Path, our team uncovered a fascinating pattern around media multitasking—most participants between 20 and 30 years of age watched TV or movies while engaging with laptops, iPads, and smart phones. This raises an important issue: should we design for multitasking behavior, or are we feeding a habit that is a gateway to distraction and overall work inefficiency?

Feed 203

Has AI (Finally) Reached a Tipping Point?

Irving Wladawsky-Berger

The panel examined key AI research trends, AI’s impact on various sectors of the economy, and major issues concerning AI public policy. The report’s first section addresses a very important question: How do researchers and practitioners define Artificial Intelligence? .

Tips 268

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

Minds and Machines

Irving Wladawsky-Berger

Brynjolfsson and McAfee are professor and research scientist respectively at MIT’s Sloan School of Management , as well as co-Directors of MIT’s Initiative on the Digital Economy. Machines have a deep but narrow view of the world they were designed for.

Data 215

A Slow Community Movement? | Full Circle Associates

Nancy White

The article talks about the work of communities in Oaxaca who are eschewing schools and centrally designed learning experiences to take learning back into the hands of the community – on it’s own time, terms and tempo.

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.

Corporate Survival: Lessons from Biology

Irving Wladawsky-Berger

Let’s take a closer look at the nature of complex adaptive systems. Why are these systems so complex? I found the most satisfying answer to this seemingly Socratic question in an excellent 2002 paper - Complexity and Robustness - by professors Jean Carlson and John Doyle.

System 207

AI - the Creation of a Human-Centric Engineering Discipline

Irving Wladawsky-Berger

Over the past few years, the necessary ingredients have finally come together to propel AI beyond the research labs into the marketplace : powerful, inexpensive computer technologies; huge amounts of data; and advanced algorithms. AI as a field of academic research was born in 1956.

Data 138

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

Where is Technology Taking the Economy

Irving Wladawsky-Berger

Brian Arthur , - External Professor at the Santa Fe Institute , Visiting Researcher at PARC , and former faculty member at Stanford University. I recently read Where is Technology Taking the Economy? , an article in McKinsey Quarterly by W.

Data-Driven Decision Making: Promises and Limits

Irving Wladawsky-Berger

They tend to be complex, and unstructured because of the uncertainty and risks that generally accompany longer term decisions. Considerable research is needed as we learn how to strike the right balance between such data-driven decision making and privacy. .

Data 247

AI and The Future of Work

Irving Wladawsky-Berger

While such statistical pattern recognition approaches can be applied to many tasks, they’re no substitute for model formation , the main approach used by humans, - from toddlers to physicists, - to understand how the world works.

Data 195

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

Go is a very complex game, for which there are more possible board positions than there are particles in the universe. A recent Harvard Business Review article, - Designing the Machines that Will Design Strategy , - takes these questions a few steps further.

Creating More Intelligent Organizations

Irving Wladawsky-Berger

The CCI is conducting research on a number of topics related to collective intelligence. Their research results were published in the October 2010 issue of Science. I recently read a fascinating online conversation on Collective Intelligence with Tom Malone.

Reinventing Society in the Wake of Big Data

Irving Wladawsky-Berger

For example, Gartner’s Research director Svetlana Sicular recently observed that big data has already reached the peak of the hype cycle , and is now falling into the trough of disillusionment , a necessary step before (hopefully) moving on to the slope of enlightenment.

Data 277

Smart Cities: A kind of 21st Century “Urban Electrification?”

Irving Wladawsky-Berger

Urban informatics, succinctly defined as Big Cities + Big Data , is a complex new field requiring considerable research and experimentation. Among the various theories for urban design, two major approaches stand out: top-down, central planning; and bottom-up, grass-roots planning.

Data 235

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. Most high-skill jobs involve expert problem solving, complex communications and other cognitive human activities for which there are no rule-based solutions.

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.

Data 241

intangible value

Harold Jarche

Only through the power of value networks can we address our complex issues – together – and create a more hopeful future.” – Verna Allee. “A You can’t plan networks or force fit them into any pattern. Complexity NetworkedLearning

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

Irving Wladawsky-Berger

It will be complex, develop hitherto unforeseen forms, and will have to respond to unforeseen challenges. Bertsimas told us that his research was motivated by the cancer treatment his own father went through. On May 22 I attended the 2013 MIT Sloan CIO Symposium.

Data 194

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.

Minds and Machines

Irving Wladawsky-Berger

Brynjolfsson and McAfee are professor and research scientist respectively at MIT’s Sloan School of Management , as well as co-Directors of MIT’s Initiative on the Digital Economy. But, this isn’t quite the case, as shown in the pioneering research of Princeton Professor Emeritus Daniel Kahneman , - for which he was awarded the 2002 Nobel Prize in Economics , - and his long time collaborator Amos Tversky , - who died in 1996.

Data 100

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. MOOC on complexity.

eLgg 238

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. Demand forecasting, supply chain optimization, and improved product design and productivity. “ Organizations need to constantly anticipate the future to gain competitive advantage. AI is now seemingly everywhere.

AI and The Future of Work

Irving Wladawsky-Berger

While such statistical pattern recognition approaches can be applied to many tasks, they’re no substitute for model formation , the main approach used by humans, - from toddlers to physicists, - to understand how the world works. There was a very interesting panel on AI’s Implications for Productivity, Wages and Employment , comprised of some of the top economists doing research on the subject: MIT’s Daron Acemoglu and Erik Brynjolfsson and Northwestern’s Robert Gordon and Joel Mokyr.

Data 100

Where is Technology Taking the Economy

Irving Wladawsky-Berger

Brian Arthur , - External Professor at the Santa Fe Institute , Visiting Researcher at PARC , and former faculty member at Stanford University. From mainframe and supercomputers to PCs and workstation, IT was now being used in a wide variety of applications, from financial services and oil exploration, to computer-aided design and office systems. “The economy for the first time had serious computational assistance.”. I recently read Where is Technology Taking the Economy? ,

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. As the line between products and services blurs into holistic customer experiences, companies are finding that their past focus on optimizing labor costs through automation and outsourcing finds them ill-equipped to design and build the required end-to-end customer experiences. .

Leadership and Rational Thinking

Irving Wladawsky-Berger

But, I believe that an overriding message kept coming through loud and clear: to make progress in addressing the very complex problems that we all face, we must leverage the power of rational thinking. And, we now have an array of highly sophisticated tools that, when properly used, can help us make sense of all that complexity. Ferrucci compared the computational patterns in Watson with leadership in a complex, uncertain world.

Reflections on the Nature of Human Organizations

Irving Wladawsky-Berger

Geoffrey West , a physicist formerly at Los Alamos National Lab and now at the Santa Fe Institute , has analyzed the impact of scaling in complex systems including cities. They also discovered that the socioeconomic or human patterns of a city followed a similar power law, but this time it was superlinear with an exponent of 1.15. Urbanization is one of the major forces transforming societies all over the world.

Three Mobile User Experience Trends to Watch in 2009

Adaptive Path

Most of us will agree that mobile user interfaces of the past were featured-laden, complex and off-putting for most users. Design decisions were largely based on product design; user interface was an afterthought. 2009 will be the year inspired mobile UI design goes mainstream. They’ll see user interface design as important as the product design. Creativity and invention in UI design will triumph over the logic and consistency of the past.

Trends 184

Machine Learning and Knowledge Discovery

Irving Wladawsky-Berger

In addition, the article nicely explains the technologies developed by the Google Brain research project to achieve its breakthrough improvements. As new data is ingested, the system rewires itself based on whatever new patterns it now finds.

Data 179

The IT-based Transformation of Services

Irving Wladawsky-Berger

On September 27 I participated in a workshop at IBM’s Almaden Research Lab on The Co-Evolution of Future Technologies, Skills, Jobs, and Quality-of-Life. In a series of talks and panel discussions , the workshop first reviewed the historical patterns of technology innovations and economic cycles, and then looked at the future of work economics in three key areas: technologies and societal infrastructure; skills and jobs; and careers and quality-of-life measures.