The roles of economy as we know them now are slowly shifting. Ultimately the power of being co-creator (formerly known as the "customer") will have much lager effect than most of us are willing to anticipate now.
“Everyday at the Dingman Center, students drop by, or send us emails, with questions on how to get started with their entrepreneurial ideas. We love connecting with UMD students and continuously loo...”
Via massimo facchinetti
“Millions of users have successfully applied the Business Model Canvas both in the startup and corporate world. Here are five common questions that people don't always dare to ask us.”
Via Jeremy Hayes, massimo facchinetti
“The faster, more effective way to communicate your business model with internal and external stakeholders. Create your FREE Lean Canvas today. (Lean Canvas - a version of the Business Model Canvas - could be helpful for strategy discussions.”
Via massimo facchinetti
... Among his keen insights on the craft, synthesized from the interviews, is a theory of how the creative process works, outlining the four stages of writing: There would seem to be four stages in the composition of a story. First comes the germ of the story, then a period of more or less conscious meditation, then the first draft, and finally the revision, which may be simply ‘pencil work’ as John O’Hara calls it — that is, minor changes in wording — or may lead to writing several drafts and what amounts to a new work. Cowley illustrates each of the four stages with anecdotes from the interviewees....
Thanks Peter for this ... "The Internet is littered with abandoned knowledge-sharing portals, so what questions do you need to ask before jumping in and setting up a new one? Kirsty Newman lists four questions to ask before setting up your knowledge sharing one-stop shop." Comment: this prompted more questions than a simple comment allows me to phrase. In essence, I think what Kirsty says makes a lot of sense, also from the experience we have with setting up and maintaining learning networks. See for further details my blogpost at http://pbsloep.blogspot.com.au/2012/11/about-setting-up-learning-network.html
Via Peter B. Sloep, David Wilcox
“Building a product is fun. Building a dynamic platform is even more fun. Did you know that Scoop.it has the best engineering team in the entire world, and that they put out a new release of the platform almost every week?In each of these releases, there are little new features and hacks that aren’t always announced. Some are data-backed and meant to help our team figure out what works and what doesn’t within the platform, but others are little gifts to you, the curators, and I’ve compiled a few so that you can all get up to date on what you might have been missing.”
Via Brian Yanish - MarketingHits.com
Connection is important in a community. However, for it to exist, you must first generate trust. Trust arises from your community’s engagement. Unless you give rise to such engagement on the basis of the credibility you earn with what you do and what you say, then there is no community, you have nothing.Engagement is everything
Via Brian Yanish - MarketingHits.com, massimo facchinetti
“"Making political decision-making truly inclusive is always challenging. Diversity of concerns and perspectives to be considered is a significant driver of complexity. How much inclusiveness can be achieved is limited by how much diversity can be integrated without losing the ability to organize constructive discourses that lead to adequate decisions, and that achieve this within a reasonable timeframe. I propose that “logic tree” methods of the so-called “Theory of Constraints” are highly promising as a means of managing this complexity in a logically and socially sound and inclusive manner. Mapping concerns by such logic trees allows to identify power structures (which turn up as root causes for concerns), conflicts, and to discover and discuss innovative ideas. The application of these methods to Internet governance and sustainable development objectives should be tried and researched."”
Via jean lievens
“One of the key components of transformation and innovation is the business model, and since the ability of companies to transform and reinvent themselves is crucial to their lifeline, I went straight to the source....”
Via massimo facchinetti
"Social Entrepreneurs are role models, not only for young entrepreneurs, but, more importantly, for businesses like us. We can't address in our business model many important societal issues if we don't link up firmly with the creativity and passion and purpose-driven models of social entrepreneurs."
Via jean lievens
Resource allocation takes place in various kinds of real-world complex systems, such as the traffic systems, social services institutions or organizations, or even the ecosystems. The fundamental principle underlying complex resource-allocation dynamics is Boolean interactions associated with minority games, as resources are generally limited and agents tend to choose the least used resource based on available information. A common but harmful dynamical behavior in resource-allocation systems is herding, where there are time intervals during which a large majority of the agents compete for a few resources, leaving many other resources unused. Ac- companying the herd behavior is thus strong fluctuations with time in the number of resources being used. In this paper, we articulate and establish that an intuitive control strategy, namely pinning control, is effective at harnessing the herding dynamics. In particular, by fixing the choices of resources for a few agents while leaving majority of the agents free, herding can be eliminated completely. Our investigation is systematic in that we consider random and targeted pinning and a variety of network topologies, and we carry out a comprehensive analysis in the framework of mean-field theory to understand the working of control. The basic philosophy is then that, when a few agents waive their freedom to choose resources by receiving sufficient incentives, majority of the agents benefit in that they will make fair, efficient, and effective use of the available resources. Our work represents a basic and general framework to address the fundamental issue of fluctuations in complex dynamical systems with significant applications to social, economical and political systems.
"Zizek!" is a feature documentary exploring the eccentric personality and esoteric work of the "wild man of theory": the eminent Slovenian philosopher Slavoj... (Philosopher Slavoj Zizek is simply amazing!
Over the past few years, BCG examined workforce supply-and-demand dynamics in 25 major economies (including the G20) through 2030.1 Today, these countries collectively account for more than 2 billion economically active people, or around 65 percent of the world’s population—and more than 80 percent of total world GDP. This report highlights the impending labor shortages and surpluses and their implications for future growth. Trends across the 25 economies we studied are alarming: an equilibrium in supply and demand is rapidly becoming the exception, not the norm. Between 2020 and 2030, we project significant worldwide labor-force imbalances—shortfalls, in particular. One significant implication is the potential aggregate value of GDP squandered, because either these nations cannot fill the jobs available or they cannot create enough jobs for the workers they have. This represents a stunning $10 trillion—around 60 percent of U.S. GDP and more than 10 percent of total world GDP (according to the latest available 2013 figures). This report, the first of a series on this topic, summarizes the findings of The Boston Consulting Group’s extensive research on global talent risk and outlines basic solutions to mitigate these imbalances. The series as a whole will describe the consequences of labor imbalances for businesses and governments and offer further remedies to help mitigate them.
Via Andrée Laforge, Denis Pennel
Networks are a powerful abstraction with applicability to a variety of scientific fields. Models explaining their morphology and growth processes permit a wide range of phenomena to be more systematically analysed and understood. At the same time, creating such models is often challenging and requires insights that may be counter-intuitive. Yet there currently exists no general method to arrive at better models. We have developed an approach to automatically detect realistic decentralised network growth models from empirical data, employing a machine learning technique inspired by natural selection and defining a unified formalism to describe such models as computer programs. As the proposed method is completely general and does not assume any pre-existing models, it can be applied “out of the box” to any given network. To validate our approach empirically, we systematically rediscover pre-defined growth laws underlying several canonical network generation models and credible laws for diverse real-world networks. We were able to find programs that are simple enough to lead to an actual understanding of the mechanisms proposed, namely for a simple brain and a social network.Symbolic regression of generative network models • Telmo Menezes & Camille RothScientific Reports 4, Article number: 6284 http://dx.doi.org/10.1038/srep06284See Also: https://github.com/telmomenezes/synthetic
Via Complexity Digest