International futures programme In 2006, the OECD launched the OECD Space Forum in co-operation with the space community. The Forum aims to assist governments, space-related agencies and the private sector to better identify the statistical contours of the growing space sector worldwide, while investigating the space infrastructure’s economic significance and potential impacts for the larger economy. Read more This project – involving telecoms, land transport, water and electricity – explores the many factors shaping demand for infrastructures worldwide over the coming decades, and points to the mounting difficulties, particularly in OECD countries, of financing growing infrastructure needs from public sector sources. Read more
Aid Workers Network This page focuses on where to find in-depth information (web sites, books, journal articles and other publications) on shelter options during a crisis situation. This page was authored by a volunteer from the AWN community. Updates and new pages are welcomed! Chaos Theory: A Brief Introduction What exactly is chaos? The name "chaos theory" comes from the fact that the systems that the theory describes are apparently disordered, but chaos theory is really about finding the underlying order in apparently random data. When was chaos first discovered? The first true experimenter in chaos was a meteorologist, named Edward Lorenz.
Urban Scaling and Its Deviations: Revealing the Structure of Wealth, Innovation and Crime across Cities With urban population increasing dramatically worldwide, cities are playing an increasingly critical role in human societies and the sustainability of the planet. An obstacle to effective policy is the lack of meaningful urban metrics based on a quantitative understanding of cities. Typically, linear per capita indicators are used to characterize and rank cities. However, these implicitly ignore the fundamental role of nonlinear agglomeration integral to the life history of cities. As such, per capita indicators conflate general nonlinear effects, common to all cities, with local dynamics, specific to each city, failing to provide direct measures of the impact of local events and policy. Agglomeration nonlinearities are explicitly manifested by the superlinear power law scaling of most urban socioeconomic indicators with population size, all with similar exponents (
TQM, Chaos and Complexity - Human Systems Management - Volume 14, Number 4 / 1995 Authors Kevin J. Dooley1, Timothy L. Johnson1, David H. Bush2 Official, IGO & NGO Resources - Development Studies - Guides at Emory University - Main Library (Woodruff) Directories/Lists Directory of Development Organizations lists almost 54,000 organizations involved in development. For easier referencing, the directory has been divided into 6 geographical sections: Africa, Asia and the Middle East, Europe, Latin America and the Caribbean, North America, and Oceania. Self-organization Self-organization occurs in a variety of physical, chemical, biological, robotic, social and cognitive systems. Common examples include crystallization, the emergence of convection patterns in a liquid heated from below, chemical oscillators, swarming in groups of animals, and the way neural networks learn to recognize complex patterns. Overview The most robust and unambiguous examples of self-organizing systems are from the physics of non-equilibrium processes.
A Network Way of Working: A Compilation of Considerations about Effectiveness in Networks “Wrap” by Kevin Dwyer/www.wooburntaichi.co.uk “In groups we can do together what we cannot achieve alone. With networks and new computer-based tools now ordinary people can become a group even without the benefit of a corporation or organization.
Resilience Alliance - Panarchy No system can be understood or managed by focusing on it at a single scale. All systems (and SESs especially) exist and function at multiple scales of space, time and social organization, and the interactions across scales are fundamentally important in determining the dynamics of the system at any particular focal scale. This interacting set of hierarchically structured scales has been termed a "panarchy" (Gunderson and Holling 2003). Panarchy is a framework of nature's rules, hinted at by the name of the Greek god of nature- Pan - whose persona also evokes an image of unpredictable change. Since the essential focus of Panarchy is to rationalize the interplay between change and persistence, between the predictable and unpredictable, Holling et al. (2002) draw on the notion of hierarchies of influences between embedded scales, that is pan-archies, to represent structures that sustain experiments, test its results and allow adaptive evolution.
Intellectual Property Rights (IPR) Programme At INTERPOL, we are working to identify, disrupt and dismantle transnational organized networks behind the trafficking in illicit goods. Trafficking in illicit goods, is a generic term used by INTERPOL to describe all types of illicit trade. It includes such practices as counterfeiting (trademark infringements), piracy (copyright infringements), smuggling of legitimate products and tax evasion. Selling fake or counterfeit products as the real thing is one aspect of this crime; so is selling genuine goods on the black market to avoid paying taxes. By avoiding regulatory controls the criminals behind these activities typically peddle often dangerous goods with a complete disregard for the health and safety of consumers.
Complex systems Complex systems present problems both in mathematical modelling and philosophical foundations. The study of complex systems represents a new approach to science that investigates how relationships between parts give rise to the collective behaviors of a system and how the system interacts and forms relationships with its environment. Such systems are used to model processes in computer science, biology, economics, physics, chemistry, and many other fields. It is also called complex systems theory, complexity science, study of complex systems, sciences of complexity, non-equilibrium physics, and historical physics. A variety of abstract theoretical complex systems is studied as a field of mathematics. The key problems of complex systems are difficulties with their formal modelling and simulation.
Step by Step Social Network Analysis using Gephi: Getting Started In continuation to my previous blog post on Social Network Analysis using Gephi, I’m writing this post to explain how do create a very simple social network analysis using Gephi. You can also look at a very good introduction to Gephi written by Martin Grandjean here Goal and Scenario: We have a friends network we want to depict visually how the friends are interconnected with each other. The goal is to understand how to use Gephi Step by step along with having very fundamental understanding of how the data is represented. Pre-Requisites: