Group items tagged

PUBLISHED ON: Proceedings of the 22nd International System Dynamics Conference (ISDC) YEAR: 2004 ISBN: 0-9745329-0-8 AUTHOR/s: Armenia, Onori et al.- REFERENCE PEOPLE/ORGANISATION: Armenia, Onori USED TOOL: POWERSIM DESCRIPTION: The implementation of specific management control/decision support systems, based on System Dynamics models, allow first for a better learning of the environmental dynamics which influence the economic behavior of the firm, and second, for a deep understanding of the results of the decisional policies which the Chemist himself, together with his collaborating staff, may choose among a plethora of strategic choices. By ignoring that "structure influences behavior", all the actions, even the ones deemed most brilliant, may have a very different result if the very nature of the environment is not clear. A system dynamics approach has helped identifying those modeling and conflict resolution policies which may help in conducting a group model building session, towards the sharing of a common mental model and the collegiality of decisions which, in the long run, may bring economic success to the Chemist's business.

Play to be Mario Draghi, form the ECB web site, and learn economics and politics.

A serious gama to improve economic participation of citizens.

REFERENCE PEOPLE/ORGANISATION: XJ-Technologies LINKS: http://www.xjtek.com/ DESCRIPTION: AnyLogic is the only tool that supports all the most common simulation methodologies in place today: System Dynamics, Process-centric (AKA Discrete Event), and Agent Based Modeling. The unique flexibility of the modeling language enables the user to capture the complexity and heterogeneity of business, economic and social systems to any desired level of detail. AnyLogic's graphical interface, tools, and library objects allow you to quickly model diverse areas such as manufacturing and logistics, business processes, human resources, consumer and patient behavior. The object-oriented model design paradigm supported by AnyLogic provides for modular, hierarchical, and incremental construction of large models.

YEAR: 2010 ISSN: 1996-1073 AUTHOR/s: Bassi REFERENCE PEOPLE/ORGANISATION: Millennium Institute LINKS: http://www.millennium-institute.org/ DESCRIPTION: With the adoption of the Kyoto Protocol in 1997 national leaders have startedinvestigating options for reducing carbon emissions within national borders. Despiteconfronting similar energy issues, every country that adopted the Kyoto Protocol has aunique energy strategy -being characterized by a different context, social, economicor environmental that influences the way different nations deal with climate change andother energy-related issues. Finding that currently available energy models are often toodetailed or narrowly focused to inform longer-term policy formulation and evaluation holistically, the present study proposes the utilization of an integrated cross-sectoralmedium to longer-term research and modeling approach, incorporating variousmethodologies to minimize exogenous assumptions and endogenously represent the keydrivers of the system analyzed. The framework proposed includes feedback, delays andnon-linearity and focuses on structure, scenarios and policies, requires a profoundcustomization of the model that goes beyond a new parameterization. The inclusion of social and environmental factors, in addition to economic ones, all unique to thegeographical area analyzed, allows for a wider analysis of the implication of policies byidentifying potential side effect or longer-term bottlenecks for socio-economicdevelopment and environmental preservation arising from cross-sectoral relations.

The interconnectedness of the global economy makes it more vulnerable to major shocks. In the wake of the 2008 financial meltdown, global leaders are acutely aware of the threats another such crisis would pose to economic recovery, social cohesion and political stability. How can governments and business prepare for and respond to such unanticipated events?

To introduce myself in the group: what I study and I teach, related to a new perspective in economic modeling.

For over 100 years, the hospital has been the core of our healthcare system, and a pillar of every community-the central hub where people enter and leave this world, and where scientific discoveries become life saving procedures. But in the last couple decades, technological, social and economic forces have chipped away at this model. As these trends continue-making traditional clinical environments punishingly expensive to run, and increasingly less necessary for many healthcare needs - the future of the community hospital is uncertain. This is the premise of our new Foresight Engine game on the Future of the Hospital-a 24-hour collaborative forecasting game playing from 12pm EST (9am PST) January 8 to 12pm EST (9am PST) on January 9, 2013!

Blog about agent-based modeling applied to socioeconomic development