Traditional Data Analysis and Data Science

Irving Wladawsky-Berger

Domain expertise is also needed to be able to draw the proper conclusions from their analysis, and to communicate their findings to business leaders in their own terms. . In addition to their multidisciplinary skills, data scientists bring increased breadth and depth to the analysis of these different sources of information compared to traditional analyst roles, as described in this short article in IBM’s website, So what does a data scientist do? : .

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Cognitive Task Analysis

Clark Quinn

A technique for doing that is Cognitive Task Analysis (CTA). When I talk about the performance ecosystem , particularly for complex tasks, you want just this sort of support to determine what should be distributed across formal learning and performance support. If you’ve got performances that absolutely have to be right, you’ll want to do the analysis ala CTA, and use it to decide what really needs to be in training, checklists , etc.

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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. This has brought attention to approaches informed by complexity science for working with intractable problems as well as a way to square the circle of making localization workable and relevant. So what is applying complexity thinking to public policy really all about?

Managing in Complexity

Harold Jarche

As our markets and technologies get more complex, we need new models to get work done. Simple systems are easily knowable, whereas complicated systems, while not simple, are still knowable through analysis. However, complex systems are not fully knowable, though they can be partially understood through interaction with them. If companies want to remain competitive in the global market, they need to focus on complex and creative work. complexity Wirearchy Work

Design thinking & complexity pt 1

Dave Snowden

I started talking about the differences that complexity theory makes to design thinking some time ago - In Malmo at the XP conference as I remember it - and have now introduced that material in modified form onto day four of our accreditation programme. The essence of the approach seemed to be: A claim to be a solution rather than a 'science' A focus on synthesis rather than analysis.

Big Data, Complex Systems and Quantum Mechanics

Irving Wladawsky-Berger

In thinking about this question over the last few years, I started to notice that a number of subtle, non-intuitive concepts that I learned many years ago as a physics student seem to apply to the world of big data and information-based predictions in highly complex systems. So is the world of highly complex systems , especially those systems whose components and interrelationships are themselves quite complex, as is the case with systems biology and evolution. .

Scale and Complex Systemic Innovation

Irving Wladawsky-Berger

We generally think of large companies as being good at operations and incremental innovations, which require them to excel at management discipline, detailed information analysis and project management. It favors large companies because of their ability to address complex systemic problems, manage the large-scale ecosystems that solving such problems requires, and bring their solutions to market all round the world.

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The Science of Complex Systems

Irving Wladawsky-Berger

When I look back over my long, relatively eclectic career, complex systems have been a common theme in all the activities I’ve been involved in. It started in the 1960s, when I was an undergraduate and graduate student at the University of Chicago majoring in physics, - the study of complex natural systems. The research for my thesis was focused on the highly complex world of atoms and molecules.

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Social Learning, Complexity and the Enterprise

Harold Jarche

Our relationship with knowledge is changing as our work becomes more intangible and complex. PDL – Personal Directed Learning: from Clockwork & Predictable to Complexity & Surprising. In complex environments it no longer works to sit back and see what will happen.

The Complex Relationship Between Science and the Public

Irving Wladawsky-Berger

Two years ago, the American Academy of Arts and Sciences launched The Public Face of Science , an initiative whose objective is to better understand the complex relationship between scientists and the public in America. Its analysis is based on survey data from multiple sources, including the Pew Research Center , the National Science Board Science and Engineering Indicators , the National Opinion Research Center , Research!America

Embracing complexity at work

Harold Jarche

The Cynefin framework is a good way to explain different types of work and how training can only help in some cases: when work is simple (cause & effect are obvious) or complicated (cause & effect can be determined through analysis). Remember, almost all of this complexity is man-made.

Organizations and Complexity

Harold Jarche

Tweet I’ve discussed this table before, but I’d like to put it all the links together to highlight what we need to do with our organizations and structures to deal with complexity. Complexity. How we can support emergent practices in the increasingly complex enterprise: COMPLEXITY. Patti Anklam , in discussing value networks and complexity states: Understanding of complexity provides a practical guide to managing context.

Strategy and Execution in an Increasingly Complex World

Irving Wladawsky-Berger

Often, this is because they associate strategy with analysis and execution with getting things done, and they attribute more value to doing than to analyzing.” . Twenty-thirty years ago, the business world was arguably less complex, slower moving and more predictable. These shifts are unyielding and contribute to the sense of a world growing more uncertain, volatile and complex.” .

How Can We Ensure that Our Complex AI Systems Do What We Want Them to Do?

Irving Wladawsky-Berger

Things are even tougher with people-centric sociotechnical systems, which not only have to deal with potential software problems, but with the even more complex issues involved in human behaviors and interactions. And, at the bleeding-edges of complexity are data-driven AI systems , which are generally based on statistical analysis and machine learning methods. . What is it that makes these systems so intrinsically complex? What purpose does this complexity serve?

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7 principles of intervention in complex systems

Dave Snowden

Now one of the basic Cynefin mantras is that of safe-fail interventions, and lots of them, if the problem is complex. One can only really understand a complex system by interacting with it (the probe of probe-sense-respond ) and while people get that, getting them to take on board the full implications is another matter. It is important to realise that a lot of conflict happens in the complex arena. I may buy this T-Shirt as its a great slogan.

Complexity and Design in Warfare

Irving Wladawsky-Berger

The workshop explored how design-oriented approaches can help us better understand and deal with the very complex problems we are increasingly encountering in all aspects of business, economies, government, public policy, military operations and society in general. Over the past few meetings the Forum has focused on various topics related to complex systems, - how to best understand and manage them in the present, as well as predict and shape their future directions.

The Complex Relationship Between Science and the Public

Irving Wladawsky-Berger

Two years ago, the American Academy of Arts and Sciences launched The Public Face of Science , an initiative whose objective is to better understand the complex relationship between scientists and the public in America. Its analysis is based on survey data from multiple sources, including the Pew Research Center , the National Science Board Science and Engineering Indicators , the National Opinion Research Center , Research!America

Growing Up in a Complex World

Irving Wladawsky-Berger

The primary challenge emerging out of the CEO conversations was complexity - the fact that CEOs now operate in a world that is substantially more volatile, uncertain and complex. Inheriting a Complex World: Future Leaders Envision Sharing the Planet invited graduate and undergraduate students to participate in a Web-based survey between October 2009 and January 2010. They grew up in a complex world. Several weeks ago IBM released its 2010 Global CEO Study.

learning in complexity and chaos

Harold Jarche

But more of our challenges are complex and cannot be solved in a standard way — inequality, refugees, populism, racism. Whenever people are involved, within a global context of climate change, the situation is likely complex. In complex situations there is less reliance on detailed plans and analysis and a greater emphasis on continuous experimentation coupled with good observation and tracking. We have to learn constantly in complexity. Complexity & Chaos.

Increased complexity needs simplified design

Harold Jarche

Now that many of us live in messy democracies and work in loose networks, learning has become complex with more connections to influence us. According to the authors of Getting to Maybe , in complex environments : Rigid protocols are counter-productive. Analysis for Informal Learning.

complexity & chaos — the new normal

Harold Jarche

A major challenge I have had in my organizational change work is getting people to understand that complicated environments are different from complex ones, and the latter are almost always the situation when people are involved. This is my 200th post on the topic of complexity.

Harold Jarche » Workplace Performance Analysis Job Aid

Harold Jarche

Complex Organizational Systems: Some Common Principles

Irving Wladawsky-Berger

Following Vest’s keynote, I participated in a panel on Critical Issues and Grand Challenges , in which we discussed the kinds of complex and exciting societal challenges Chuck told us are needed to inject excitement into engineering. I was the last speaker in the panel, and talked about complex organizational systems. After listening intently to what they said, I came up with four key such common principles for complex systems. It is very complicated, but not quite complex.

Measuring the Effectiveness of Social Distancing Policies

Irving Wladawsky-Berger

Let me briefly describe the sources of the data used in the analysis as well as the methods used to preserve data privacy. In these countries, it ’ s thus important to turn to sophisticated data analysis methods that are compliant with privacy policies.

The Collapse of Complex Business Models ? Clay Shirky

Clay Shirky

The Times’ Paywall and Newsletter Economics » The Collapse of Complex Business Models. In 1988, Joseph Tainter wrote a chilling book called The Collapse of Complex Societies. Every one of those groups had rich traditions, complex social structures, advanced technology, but despite their sophistication, they collapsed, impoverishing and scattering their citizens and leaving little but future archeological sites as evidence of previous greatness. Clay Shirky.

Reconnecting Society and Reopening the Economy

Irving Wladawsky-Berger

These findings are based on the analysis of two distinct scenarios for reopening the economy. Complex Systems Data Science and Big Data Economic Issues Future of Work Healthcare Systems Innovation Management and Leadership Political Issues Society and Culture Technology and Strategy

Scenario Planning - Formulating Strategy in the Face of High Uncertainty

Irving Wladawsky-Berger

Based on an analysis of more than 70 key forces and a survey of over 40 business leaders, Heidrick researchers identified more than 30 key trends shaping the post-pandemic future of work. “How can we formulate strategy in the face of uncertainty?,”

The Simple Test and Complex Phenomena

Stephen Downes: Half an Hour

Either he thinks very poorly of certification programs, or he did not read Thalheimer's analysis. But if the test measures complex phenomena, then it is going to systematically misrepresent the student's understanding of the phenomena. Specifically, a very simple one-dimensional understanding will fare as well (and in this case, better) than a complex, nuanced understanding. Written after taking the test described by Will Thalheimer.

Can Democracy and Free Markets Survive in the Coming Age of AI?

Irving Wladawsky-Berger

This is clearly the case when attempting to apply machine learning to highly complex and open-ended problems like markets and human behavior. Can technology plan economies and destroy democracy?

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The Long-Term Impact of Early-Career Setbacks

Irving Wladawsky-Berger

To asses the impact of early-career successes and setbacks, the research team focused its analysis on junior scientists who early in their careers applied for NIH grants between 1990 and 2005. Further analysis of various versions of this hypothesis concluded that it was insufficient to account for the observed difference between near misses and narrow wins. Fail fast, fail often is one of Silicon Valley’s best known mantras.

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our wake-up call

Harold Jarche

The complications of drills in England had been replaced by the complexity of war and the chaos of battle. He said that leaders who are used to getting a lot of data and then applying good analysis to make decisions, are ill-suited to make decisions when there is little data. Complexity and chaos are the new normal as climate change drives more crises our way — pandemics, refugees, environmental disasters, and the overall degradation of our environment. Complexity Leadershi

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“the future of work will be based on hacking uncertainty”

Harold Jarche

The unit of analysis is now communication and emergence, not entities. Esko said that in order to develop the necessary emergent practices to deal with complexity you need to first cultivate diversity and by this I would say the autonomy of each learner. Communities Complexity Learnin

The Blockchain Value Framework

Irving Wladawsky-Berger

The white paper is based on a global survey of 550 individuals across 13 industries, including automotive, banking, and retail; interviews with CEOs and public sector leaders; and a detailed analysis of 79 blockchain projects. Based on its analysis of almost 80 blockchain projects and its dozens of interviews with private and public sector leaders, the study developed the “blockchain value framework.”

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Strategic Doing — getting to metamodernity

Harold Jarche

The process of Strategic Doing is fairly simple and easy to understand, which gives it the robustness needed to deal with complex challenges. For example, some Liberating Structures would help with Skills#1 & #9 and value network analysis could be useful for Skills #3 & #4. For instance, I noticed that the book refers to The Medici Effect and Where Good Ideas Come From as well as the work of Valdis Krebs in network analysis and Amy Edmondson in psychological safety.

Skills 188

The Myth of the Washed-Up, Middle-Age Entrepreneur

Irving Wladawsky-Berger

Their analysis yielded around 350,000 potential high-growth firms. Further analysis showed that the forward 5-year multiples of their stock price tended to rise as they got older, with the peak coming at 48 for Jobs, 39 for Gates, 45 for Bezos, and 36 for Brin and Page.

Blockchain - the Networked Ecosystem is the Business

Irving Wladawsky-Berger

Based on the analysis of over 25 blockchain networks in various stages of production across multiple industries and geographies, the report recommends that a company’s blockchain journey should evolve along three distinct stages: in search of value, - establishing a minimum value ecosystem; getting to scale - creating value for an overall industry; and designing for new markets, - creating entirely new markets and business models.

Could AI Reshape the Global Balance of Power?

Irving Wladawsky-Berger

AI-enabled machines, systems, and weapons can help military leaders understand and quickly develop a coherent operating picture of the battlespace, make complex decisions faster, put fewer U.S. Artificial Intelligence Complex Systems Data Science and Big Data Economic Issues Education and Talent Innovation Management and Leadership Political Issues Society and Culture Technology and Strategy

Are Innovation and R&D Yielding Decreasing Returns?

Irving Wladawsky-Berger

The authors conducted a similar in-depth analysis in the agricultural and pharmaceutical industries. Analysis of a rich patent data set shows that the age of first patent has been increasing over time at a substantial rate.

leadership through cooperation

Harold Jarche

Machine learning is enabling the analysis of enormous data sets. Communities Complexity LeadershipOne of the few areas where most nations cooperate is in infectious disease control.

Social Physics - Reinventing Analytics to Better Predict Human Behaviors

Irving Wladawsky-Berger

They’ve enabled the construction of AI algorithms that can be trained with lots and lots of sample inputs, which are subsequently applied to complex problems like language translation, natural language processing, and playing championship-level Go.

Getting on the AI Learning Curve: A Pragmatic, Incremental Approach

Irving Wladawsky-Berger

The paper is particularly focused on machine learning and related technologies, and is based on a detail analysis of more that 400 use cases across 19 industries and 9 business functions. It’s still quite difficult to explain in human terms the results from large, complex AI applications.

The Business Value of Augmented Reality

Irving Wladawsky-Berger

We generally think of products as physical entities built with a combination of mechanical and electrical components, - e.g., appliances, cars, agricultural machines, industrial equipment, - some quite simple and some highly complex. We need smart connected humans to help us better deal with our complex SCPs.

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3 Reasons Why Personalized Learning Projects Fall Short

Xyleme

Personalization is easier said than done — especially when delivering content at scale. While strategic visions may vary, the need to deliver the right content, to the right audience, at the right time, and in the right format, remains the same.