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The research presented in this volume, developed in the EC-funded Project ISCOM (Information Society as a Complex System), takes off from two fundamental premises: -- to guide innovation policies, taking account of the social, economic and geographic dimensions of innovation processes are at least as critical as the science and technology; and -- complex systems science is essential for understanding these dimensions. Online version (possibly available at http://www.springerlink.com/content/978-1-4020-9662-4 -- Table of contents -- 18 Chapters Front Matter I-IX Part 1 Introduction David Lane, Robert Maxfield, Dwight Read and Sander van der Leeuw 1-7 Part I From Biology to Society Front Matter 9-9 From Population to Organization Thinking David Lane, Robert Maxfield, Dwight Read and Sander van der Leeuw 11-42 The Innovation Innovation Dwight Read, David Lane and Sander van der Leeuw 43-84 The Long-Term Evolution of Social Organization Sander van der Leeuw, David Lane and Dwight Read 85-116 Biological Metaphors in Economics: Natural Selection and Competition Andrea Ginzburg 117-152 Innovation in the Context of Networks, Hierarchies, and Cohesion Douglas R. White 153-194 Part II Innovation and Urban Systems Front Matter 195-195 The Organization of Urban Systems Anne Bretagnolle, Denise Pumain and Cline Vacchiani-Marcuzzo 197-220 The Self Similarity of Human Social Organization and Dynamics in Cities Luis M.A. Bettencourt, Jose Lobo and Geoffrey B. West 221-236 Innovation Cycles and Urban Dynamics Denise Pumain, Fabien Paulus and Cline Vacchiani-Marcuzzo 237-260 Part III Innovation and Market Systems Front Matter 261-261 Building a New Market System: Effective Action, Redirection and Generative Relationships David Lane and Robert Maxfield 263-288 Incorporating a New Technology into Agent-Artifact Space: The Case of Control Syst

daviding says: This article published in the Rotman Magazine on "Wicked Problems" is available on the Ideo web site. Designing a system for scale is a practical and interesting challenge.

Growing Influential Networks Following are three approaches that specifically deal with the idea of humanizing big problems to influence people to change and grow influential networks. 1. Human-Centered Systems: Design for People, Not the System 2. Sticky Systems: Design for Scale 3. Reciprocal Systems: Connect by Sharing The Five Principles of Systems at Scale 1. Ask how the system feels, not just how it works. 2. Recognize that a good system is often the best influencer. 3. Let the user close the loop. 4. Go micro with the human factors. 5. Start with hope, and take the long view.

In an age in which consumers, businesses and governments are increasingly focused on socially responsible actions, much of our planet's natural and financial resources are being squandered simply by conducting business as usual: Much of the world's food supply never makes it to consumers. A considerable portion of the water used each year is frivoled away by poor agricultural water management. And road congestion, poor routing and other traffic issues around the globe contribute to substantial crude oil waste. Much - if not most - of this inefficiency can be attributed to the fact that we have optimized the way the world works within silos, with little regard for how the processes and systems that drive our planet interrelate. We've tuned these processes to generate specific outcomes for individual communities, nations, enterprises and value chains. To root out inefficiencies and reclaim a substantial portion of that which is lost, businesses, industries, governments and cities will need to think in terms of systems, or more accurately, a system of systems. We'll also need to collaborate at unprecedented levels. Certainly, no single organization owns the world's food system, and no single entity can fix the world's healthcare system. Success will depend upon understanding the full set of cause-and-effect relationships that link systems and using this knowledge to create greater synergy. The chief obstacle that remains is mindset - moving from short-sighted to long-term perspectives, from siloed to system-of-systems decision making. Download the IBM Institute for Business Value executive report, "The world's trillion-dollar challenge: Using a system-of-systems approach to build a smarter planet," to discover a framework for helping solve real-world problems using a system-of-systems approach.

daviding says: The use of the phrase "systems of systems" in a report from IBM Global Business Services (i.e. the management consulting arm) is interesting.

COURSE DESCRIPTION Networked Life looks at how our world is connected -- socially, economically, strategically and technologically -- and why it matters. The answers to the questions at the top of this page are related. They have been the subject of a fascinating intersection of disciplines including computer science, physics, psychology, sociology, mathematics, economics and finance. Researchers from these areas all strive to quantify and explain the growing complexity and connectivity of the world around us, and they have begun to develop a rich new science along the way. Networked Life will explore recent scientific efforts to explain social, economic and technological structures -- and the way these structures interact -- on many different scales, from the behavior of individuals or small groups to that of complex networks such as the Internet and the global economy. This course covers computer science topics and other material that is mathematical, but all material will be presented in a way that is accessible to an educated audience with or without a strong technical background. The course is open to all majors and all levels, and is taught accordingly. There will be ample opportunities for those of a quantitative bent to dig deeper into the topics we examine. The majority of the course is grounded in scientific and mathematical findings of the past two decades or less (often much less). Spring 2010 is the seventh offering of Networked Life. You can get a detailed sense for the course by visiting the extensive course web pages from Spring 2009, Spring 2008, Spring 2007, Spring 2006, Spring 2005, and Spring 2004. This year the course will cover many of the same topics, updated in light of new research since the 2007 offering. As has become standard in the course, we plan to include communal experiments in distributed human decision-making on networks.

daviding says: A course on networks in the Arts and Sciences program at the University of Pennsylvania. The recency of references is striking.