Group items tagged

The potential for the Avian Flu (H5N1) virus to become a pandemic disease has mandated an examination of public health surveillance, response and containment strategies for developing countries. We have developed a Multi Agent System Simulation system known as IDESS (Infectious Disease Epidemic Simulation System) that rapidly constructs infectious disease models from existing data for any geographical region. This approach addresses an important area of infectious disease outbreak management, as it allows public health professionals to rapidly construct a simulation model for any geographic region and observe how an infectious disease spreads between communities. Such simulations will facilitate testing of containment strategies for rapid response.

PUBLISHED ON: Proceedings of the 22nd International System Dynamics Conference (ISDC) YEAR: 2011ISBN: 978-1-935056-08-9AUTHOR/s: Armenia, Stefano, Yannis Charalabidis, Diego Falsini, Fenareti Lampathaki, David Osimo and Katarzyna SzkutaREFERENCE PEOPLE/ORGANISATION: Crossroads ProjectLINKS: http://crossroad.epu.ntua.gr/ DESCRIPTION: The role of Government has evolved over the last thirty years and while its role in service provision has diminished, its regulation activity is growing. The world has become increasingly interconnected, complex, and fast-evolving and the effects of individual behavior and policy choices are not predictable. The paradox is that while the amount of data available to governments has increased exponentially, yet policymakers clearly struggle to make sense of it so that during the last years, the European Commission has decided to invest heavily in research on this issue. In this paper, the authors report about their experience in the CROSSROAD Project, whose main goal was to build a roadmap in order to provide strategic directions for future research in the domain of "ICT for Governance and Policy Modelling". The roadmap, recently approved by European Commission, intends to be the basis for developing a shared vision, inspire collaborative and interdisciplinary research between academia, business, civil society and government, and provide support and orientation to policy-modeling also after the project end. In this context, the paper analyzes the Model-based Governance issue as the part of the roadmap that suggests the development of advanced tools for an efficient and effective decision-making process.

MIT course on agent-based modeling for health policy with AnyLogic Nathaniel Osgood - Associate Professor, University of Saskatchewan made a MIT graduate based course on agent-based modeling for health policy with AnyLogic. Please find the original materias here. Material from other supporting lectures and tutorials outside of the scope of this course can be accessed here. This page includes separate tables of materials for both lectures and Java for AnyLogic tutorials; assignments are also available.

In a government bureaucracy, any innovation can take years to come to fruition. But that can change, says Tom Kalil, deputy director for policy for the Office of Science and Technology Policy at the White House. Kalil recently participated in a two-day conference at Wharton titled, "For the Win: Serious Gamification," which looked at the application of gaming techniques in business, education, government and other scenarios. Before the conference, Kalil spoke with Kevin Werbach, a conference organizer and a professor of legal studies and business ethics at Wharton, about why gamification has become a hot topic at the White House.

"Traditional policy analysis approaches are characterized by a focus on system modeling and choosing among policy alternatives. While successful in many cases, this approach has been increasingly criticized for being technocratic and ignoring the behavioral and political dimensions of most policy processes. In recent decades, increased awareness of the multi-actor, multiple perspective, and poly-centric character of many policy processes has led to the development of a variety of different perspectives on the styles and roles of policy analysis, and to new analytical tools and approaches - for example, argumentative approaches, participative policy analysis, and negotiation support. As a result, the field has become multi-faceted and somewhat fragmented. Public Policy Analysis: New Developments acknowledges the variety of approaches and provides a synthesis of the traditional and new approaches to policy analysis. It provides an overview and typology of different types of policy analytic activities, characterizing them according to differences in character and leading values, and linking them to a variety of theoretical notions on policymaking. Thereby, it provides assistance to both end users and analysts in choosing an appropriate approach given a specific policy situation. By broadening the traditional approach and methods to include the analysis of actors and actor networks related to the policy issue at hand, it deepens the state of the art in certain areas. While the main focus of the book is on the cognitive dimensions of policy analysis, it also links the policy analysis process to the policymaking process, showing how to identify and involve all relevant stakeholders in the process, and how to create favorable conditions for use of the results of policy analytic efforts by the policy actors."

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.

Enipedia is an active exploration into the applications of wikis and the semantic web for energy and industry issues. Through this we seek to create a collaborative environment for discussion, while also providing the tools that allow for data from different sources to be connected, queried, and visualized from different perspectives.

Not a game. But recommended because of its originality and eclectic combination.

SentiStrength estimates the strength of positive and negative sentiment in short texts, even for informal language. It has human-level accuracy for short social web texts in English, except political texts. SentiStrength reports two sentiment strengths: -1 (not negative) to -5 (extremely negative) 1 (not positive) to 5 (extremely positive) It can also report binary (positive/negative), trinary (positive/negative/neutral) and single scale (-4 to +4) results. SentiStrength was originally developed for English and optimised for general short social web texts but can be easily configured for other languages and contexts by changing its input files - some variants are demonstrated below.

Code for America collects and maps 150 apps for citizen engagement

How to comunicate with the large public, maybe not only for science but also for policy making,

The Workshop on Argumentation Technology for Policy Deliberations will present the results of the European FP7 IMPACT Project, along with invited talks by leading developers and users of argumentation tools for supporting public participation in policy deliberations on the World-Wide-Web.

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.

Forio simulations improve public policy development and implementation by allowing you to: *Model sophisticated behaviors by importing data and formulas from Excel, AnyLogic, and other programs. *Have global access to your Sim via popular web browsers. *Control access with secure user privileges. *Implement updates centrally, ensuring users have the most up-to-date information (preventing old or obselete info from being reused). *Operate worry-free, with dependable security and design measures. Customized simulations apps are easily accessible via standard web browsers, allowing users to easily make adjustments, share and compare results. With Forio's public policy simulations, users can create interactive online tools to generate, manipulate and illustrate "what if" scenarios that are ideal for long-term policy models.With Forio's public policy simulations, users can create interactive online tools to generate, manipulate and illustrate "what if" scenarios that are ideal for long-term policy models.

easy ready made tool to turn system dynamics models into playable games.

This article examines the foundations of gaming and related concepts, such as policy exercises and serious gaming, in a public policy making context. Examining the relevant publications in Simulation & Gaming since 1969, the author looks back at the development of gaming simulation for purposes such as public policy analysis and planning, and reviews the underlying theories and empirical evidence. The author highlights the recognition that the success of gaming for policy making derives largely from the unique power of that gaming to capture and integrate both the technical-physical and the social-political complexities of policy problems.

My view on the how, what and why of policy gaming.

Catastrophic events have raised numerous issues concerning how effectively the built environment accommodates the evacuation needs of individuals with disabilities. Individuals with disabilities represent a significant, yet often overlooked, portion of the population disproportionately affected in emergency situations. Incorporating disability considerations into emergency evacuation planning, preparation, and other activities is critical. The most widely applied method used to evaluate how effectively the built environment accommodates emergency evacuations is agent-based or microsimulation modeling. However, current evacuation models do not adequately address individuals with disabilities in their simulated populations. This manuscript describes the BUMMPEE model, an agent-based simulation capable of classifying the built environment according to environmental characteristics and simulating a heterogeneous population according to variation in individual criteria. The method allows for simulated behaviors which more aptly represent the diversity and prevalence of disabilities in the population and their interaction with the built environment. Comparison of the results of an evacuation simulated using the BUMMPEE model is comparable to a physical evacuation with a similar population and setting. The results of the comparison indicate that the BUMMPEE model is a reasonable approach for simulating evacuations representing the diversity and prevalence of disability in the population.

This research note provides a general introduction to REsCape: an agent-based computational framework for studying the relationship between natural resources, ethnicity, and civil war. By permitting the user to specify: (i) different resource profiles ranging from a purely agrarian economy to one based on the artisanal or industrial extraction of alluvial or kimberlite diamonds; (ii) different patterns of ethnic domination, ethnic polarization, and varying degrees of ethnic salience; as well as (iii) specific modes of play for key agents, the framework can be used to assess the effects of key variables - whether taken in isolation or in various combinations - on the onset and duration of civil war. Our objective is to make REsCape available as an open source toolkit in the future, one that can be used, modified, and refined by students and scholars of civil war.

EpiSimS is a stochastic, agent-based simulation engine that models the spread of disease in regions, allowing for the assessment of disease prevention, intervention, and response strategies. EpiSimS explicitly represents the daily movements and interactions of synthetic individuals in a city or region, including their interactions with others. It is used as an experimental test bed for analyzing the consequences, feasibility, and effectiveness of response options to disease outbreaks.