The MIT Inclusive Innovation Competition

Irving Wladawsky-Berger

As i ts website explains: “While digital technologies are rapidly transforming both business practices and societies and are integral to the innovation-driven economies of the future, they are also the core driver of the great economic paradox of our time.

The 2016 MIT Inclusive Innovation Awards

Irving Wladawsky-Berger

Several months ago, MIT’s Initiative on the Digital Economy launched its first annual Inclusive Innovation Competition (IIC). Let me close by explaining why I feel particularly proud to be associated with the Inclusive Innovation Competition.

The “Recombinant” Nature of Digital Innovations

Irving Wladawsky-Berger

Customer self-service is an excellent example of recombinant innovations , which UC Davis professor Andrew Hargadon defines as innovations that “rather than chasing whole new ideas, [are] focused on recombining old ideas in new ways.” Is innovation accelerating or slowing down?

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?

Preparing Students for an Increasingly Complex Business World

Irving Wladawsky-Berger

Are engineering and management schools adequately preparing students for our fast-changing, highly complex business world? Companies generally want MBA graduates with good social skills who are good at leadership, communications, and innovation.

Innovation in open online courses

George Siemens

This is a short overview of the innovations that we want to explore during the course. The innovations build heavily on community and network approaches that I and others (Stephen Downes, David Wiley, Alan Levine, Jim Groom, Dave Cormier) have used in previous open courses. The connection between learning and application is hampered as MOOC resources do not always persist after a course has ended and there is limited search functionality in MOOCs.

Course 149

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.

An Emerging Platform for Digital, Inclusive Innovation

Irving Wladawsky-Berger

The Internet became an incredible platform for innovation, enabling startups, large institutions, and everyone in between to quickly develop and bring to market many new digital products and services. Its reach and connectivity led to the creation of all kinds of innovative, digital applications. Together, these advances are giving rise to an Internet-based platform for digital, inclusive innovations. Inclusive innovation is a relatively new concept.

A Great Stagnation or a New Golden Age of Innovation?

Irving Wladawsky-Berger

These new ventures continue to attract more and more financial capital from investors, which in turn helps improve the quality and lowers the cost of the new disruptive technology and leads to many new innovative applications. But inevitably, the investments in new companies and applications turns into unsustainable speculation, leading to a financial bubble which eventually crashes. New paradigms emerge for guiding innovation and for determining winners and losers in the marketplace.

[liveblog][act-tiac] A federal portal in the age of search?

David Weinberger

“In a world where everyone can search and has apps, is a web portal relevant?,” Now people arrive through search. People are surprised when it’s complex. Someone has a general idea, but not informed enough to search. Sarah Crane , Dir., Federal Citizen Information Center, GSA., is going to talk about USA.gov. ” she asks. NOTE: Live-blogging. Getting things wrong. Missing points. Omitting key information. Introducing artificial choppiness.

Search 109

Education and Services Innovation

Irving Wladawsky-Berger

He is one the best role models I know of the kind of systems oriented, market-facing engineers that we increasingly need to help us tackle the highly complex, multi-disciplinary problems we are facing in the 21st century. Technology and innovation are badly needed, but progress has been painfully slow. Tags: Complex Systems Economic Issues Education and Talent Innovation Society and Culture

The Urgent Need for Innovation in Job Creation

Irving Wladawsky-Berger

The broadest measure of unemployment and underemployment (which includes people who want to work but have stopped actively searching for a job, along with those who want full-time jobs but can find only part-time work) reached 17.4 To better appreciate our complex societal ecosystems, we need models that not only capture the positive impact of productivity and growth on the economy, but also the negative impacts and true costs, of prolonged unemployment.

Innovating our way out of the industrial era

Harold Jarche

I have frequently said that simple and complicated work is getting automated and outsourced and that the real value in the networked enterprise is in complex (creative) work. These are complex or arcane tasks being done by unique individuals. complexity Technology Work

Is Design Thinking the “New Liberal Arts”?

Irving Wladawsky-Berger

Design thinking is now being applied to abstract entities, - e.g. systems, services, information and organizations, - as well as to devise strategies, manage change and solve complex problems. Design thinking has become an increasingly popular topic of discussion over the past decade.

Design 273

The Evolution of the Firm

Irving Wladawsky-Berger

Transaction costs are incurred in obtaining goods and services outside the firm, such as searching for the right people, negotiating a contract, coordinating the work, managing intellectual property and so on.

Cost 272

Where is Technology Taking the Economy

Irving Wladawsky-Berger

Powerful computers and intelligent algorithms are enabling us to make sense of all that data by searching for patterns and doing something with the results, including computer vision, natural-language processing, language translation, face recognition and digital assistants.

Are we in for perpetual innovation?

David Weinberger

Even within particular functional areas, say, search engines? Or will we be constantly innovating the basic navigational systems of the Net? Or, will some systems become settled — say, search engines with text entry boxes (and their oral equivalent) and lists of results — while there is wild innovation in other areas? But, if I had to bet, I’d say that we’re in for perpetual innovation, with some inventions lasting longer than others.

Blockchains: the Promise of More Frictionless, Trusted Economies

Irving Wladawsky-Berger

Transaction costs are a kind of friction incurred in obtaining goods and services outside the firm, such as searching for the right supply chain partners, establishing a trusted relationship, negotiating a contract, coordinating the work, managing intellectual property and so on.

Data 239

How Will AI Likely Impact How We Work, Live and Play?

Irving Wladawsky-Berger

But each time those fears arose in the past, technology innovations ended up creating more jobs than they destroyed, causing the majority of economists to confidently wave away such automation anxieties.

System 260

Design Thinking and the Workplace Experience

Irving Wladawsky-Berger

Design has long played a major role in product innovation. The article views design thinking as “a human-centered approach to innovation that puts the observation and discovery of often highly nuanced, even tacit, human needs right at the forefront of the innovation process.”

Design 190

Becoming a Data-Driven Business: Challenges and Opportunities

Irving Wladawsky-Berger

It’s very hard to anticipate the consequences of disruptive innovations. I t’s often been said that truly transformative innovations are overhyped in the short term but under-hyped in the long term. The dot-com era was famous for its many innovations, but also for its hype.

Data 204

Trust and the On-Demand Economy

Irving Wladawsky-Berger

Transaction costs are incurred in obtaining goods and services outside the firm, such as searching for the right people, negotiating a contract, coordinating the work, managing intellectual property and so on.

Issues 196

Blockchain - Once Again, the Technological Genie Has Been Unleashed from its Bottle

Irving Wladawsky-Berger

It has been great for reducing the costs of searching, collaborating, and exchanging information… Overall, the Internet has enabled many positive changes - for those with access to it - but it has serious limitations for business and economic activity.”.

The Emerging Data Economy

Irving Wladawsky-Berger

Data is now being generated by just about everything and everybody around us, including the growing volume of online and offline transactions, web searches, social media interactions, billions of smart mobile devices and 10s of billions of smart IoT sensors.

Data 182

The role of informal social networks in building organizational creativity and innovation

Ross Dawson

This is evident in the California Management Review paper I co-authored on Managing Collaboration: Improving Team Effectiveness through a Network Perspective , in which we examined how to improve performance in sales, innovation, and execution.

The Future of Financial Services

Irving Wladawsky-Berger

By analyzing the earliest recorded transactions, researchers believe that writing evolved in ancient Mesopotamia thousands of years ago, as an innovation to keep track of financial records. Periods of rapid ICT and FS innovation are followed by lengthy periods of stability and consolidation.

Data 172

Learning to Apply Data Science to Business Problems

Irving Wladawsky-Berger

But more important for the students, the various A-Lab projects served as a concrete learning experience on what data science is all about, - how to leverage messy, incomplete, real-world data to shed light on a complex and not-so-well-defined problem.

Data 207

Corporate Learning Trends and Innovations Nov 17-21 | Full Circle Associates

Nancy White

Home About Full Circle Contact Resources Wiki Full Circus Full Circle Associates connections for a changing world, online and offline… Oct 25 2008 Corporate Learning Trends and Innovations Nov 17-21 Published by Nancy White at 2:55 pm under communities of practice , events , learning , networks Most of you know me in the non profit world, but Tony Karrer of Tech Empower convinced me I could contribute to a corporate learning event. Innovation. Innovation.

Trends 100

Anticipating the Future of the IT Industry

Irving Wladawsky-Berger

How can we best anticipate the future of a complex, fast changing industry like IT? Which hot technology innovations, - e.g., artificial intelligence, the blockchain, cloud computing, - will end up having a big impact and which are destined to fizzle?

The Coming Robotics Revolution

Irving Wladawsky-Berger

Will they turn out like other major innovations, e.g., steam power, electricity, cars, - highly disruptive in the near term, but ultimately beneficial to society? Hi, Robot: Work and Life in the Age of Automation , reads the Hamlet-inspired cover of the July, 2105 issue of Foreign Affairs.

Issues 199

Shaping the Future of the Internet

Irving Wladawsky-Berger

As is the case with any complex system, the Internet’s design has been the result of many different choices. This generality has enabled the Internet to become a powerful platform for innovation, but it’s come at a price: it’s good-enough but not optimal for any one application.

Data 207

Computing Beyond Moore’s Law

Irving Wladawsky-Berger

And, and as is often the case when it comes to highly complex systems, I find myself turning to biology as a source of inspiration, in particular, to evolutionary biology. By the end of the Cambrian geological period, the diversity and complexity of life began to resemble that of today.

Technology and the Future of Media

Irving Wladawsky-Berger

As always, disruptive innovations have unintended consequences. For example, USC’s Annenberg Innovation Lab (AIL) has been conducting research on how to best quantify fan engagement in a variety of media, including entertainment, music and sports. .

The Evolution of the Internet of Very Smart Things

Irving Wladawsky-Berger

These systems were optimized for simplicity and flexibility, and their graphical user interfaces led to many innovative applications, including the new web-based applications in the 1990s. These factors eventually led to significantly increased management complexities and costs.

Data 199

Cognitive Systems and Big-Data-driven Applications

Irving Wladawsky-Berger

The new generation of cognitive systems will require innovation breakthroughs at every layer of our IT systems, including technology components, system architectures, software platforms, programming environment and the interfaces between machines and humans.

System 207

Cloud, Services and the Transformation of Production

Irving Wladawsky-Berger

Is it a return to centralized computing , driven by the rising complexities, management costs and energy inefficiencies of distributed systems? The development and operation of digital service applications, whether games or music services, become sources of innovation and employment.

The Rise of the On-Demand Economy

Irving Wladawsky-Berger

Complex tasks, such as programming a computer or writing a legal brief, can now be divided into their component parts - and subcontracted to specialists around the world.” .

Lean Principles in the Digital Economy

Irving Wladawsky-Berger

But, this push economy is fading fast in our complex, integrated, fast changing world. Customers are taking advantage of all the information they can now access to search for the best possible values.

Data 169

Reflections on the Future of TV

Irving Wladawsky-Berger

In addition, I’ve been a member of the advisory board of USC’s Annenberg Innovation Lab (AIL) since it was founded in 2010 to study the impact of technology and cultural changes on the media industries. . I’ve long been interested in the impact of digital technologies on the media industry.

The Digital Transformation of the Customer Experience

Irving Wladawsky-Berger

Moreover, as companies struggle to differentiate their increasingly commoditized products, they are looking for new business opportunities by offering all kinds of services around their products, as well as all sorts of innovative products as-a-service.

Data 166