Falling Off the Cliff? Increasing Economic Security for Low Income Adults as the Safety Net Shrinks Joshua D. Hawley, Julie A. Maurer

The public assistance system is supposed to offer a bridge between poverty and self-sufficiency. Families receive benefits such as Temporary Assistance for Needy Families (TANF) or Supplemental Nutrition Assistance Program (SNAP) to soften the impact of loss of income. The programs are intended to be limited in duration and provide a very modest amount of financial support. Some families are fortunate to also receive a housing voucher or a child care subsidy to help offset basic expenses. Eligibility for benefits varies by program and is based on different criteria, most of which are linked to personal income. This study asks: what happens when benefits are cut before individuals reach economic stability? This is frequently called the “benefits cliff.”
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Hybrid Simulation in Healthcare: New Concepts and New Tools Sally C. Brailsford

Until relatively recently, developing hybrid simulation models using more than one simulation paradigm was a challenging task which required a degree of ingenuity on behalf of the modeler. Generally speaking, such hybrid models either had to be coded from scratch in a programming language, or developed using two (or more) different off-the-shelf software tools which had to communicate with each other through a user-written interface. Nowadays a number of simulation tools are available which aim to make this task easier. This paper does not set out to be a formal review of such software, but it discusses the increasing popularity of hybrid simulation and the rapidly developing market in hybrid modeling tools, focusing specifically on applications in health and social care and using experience from the Care Life Cycle project and elsewhere.
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Major City Evacuation Planning Using Simulation Modeling A, Kirby, J.E. Dietz, E. Matson, J. Pekny, C. Wojtalewicz and J. Pekny

Disaster, whether manmade or natural, can have a catastrophic impact on a populated area. Sometimes, the disaster is so devastating that it requires a large-scale evacuation. As a result, evacuation plans have become a necessity. One such evacuation plan is the regional hub reception center (RHRC), which will help evacuate the careless population when an evacuation is needed. Using AnyLogic as a simulation modeling software, an RHRC model was developed to test the efficiency of the proposed plan.
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Agent-based population model used to identify and evaluate dog population management strategies L. Kisiel, A. Jones-Bitton, A.L. Greer; Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON Canada; CEFUTREMA

Developing countries are faced with finding novel and humane ways to permanently reduce and control their dog population. Agent-based models developed to describe dog populations represent a unique, platform for using computer based simulation to identify control strategies with the greatest potential for success, aid in the design of more effective control measures, and provide a means to evaluate the success of different interventions.
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A Hybrid Simulation Framework for Integrated Management of Infrastructure Networks Mostafa Batouli, Ali Mostafavi, Florida International University. Winter Simulation Conference, 2014.

The objective of this paper is to propose and test a framework for integrated assessment of infrastructure systems at the interface between the dynamic behaviors of assets, agencies, and users. For the purpose of this study a hybrid agent-based/mathematical simulation model is created and tested using a numerical example related to a roadway network.
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Towards a Semiconductor Supply Chain Simulation Library (SCSC-SIMLIB) Jingjing Yuan, Thomas Ponsignon, Infineon Technologies AG. Winter Simulation Conference, 2014.

Simulation is a widely used technique for analyzing and managing supply chains. Simulation software packages offer standard libraries for selected functions and application areas. However, no commercial or freeware simulation tool proposes building blocks specific to semiconductor manufacturing.
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Discrete Choice, Agent Based and System Dynamics Simulation of Health Profession Career Paths T. Flynn, Y. Tian, K. Masnick, G. McDonnell, E. Huynh, A. Mair, N. Osgood. Winter Simulation Conference, 2014.

Modelling real workforce choices accurately via Agent Based Models and System Dynamics requires input data on the actual preferences of individual agents. Often lack of data means that analysts can have an understanding of how agents move through the system, but not why, and when.
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Return to Work Behavior of People with Disabilities: A Multi-Method Approach Mariusz Balaban, MYMIC LLC. Winter Simulation Conference, 2014.

This paper discusses the development of a simulation model to mimic a return to work phenomenon of Social Security Disability Insurance (SSDI) enrollees in the United States. Agent Based and Bayesian Network methods are used within a multi-method simulation model to capture system conditions and enrollee behavior.
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Agent-based modelling to visualise trustworthiness: a socio-technical framework Shuyuan Mary Ho, Ram Reddy Katukoori; Int. J. Mobile Network Design and Innovation, Vol. 5, No. 1, 2013

This paper describes a socio-technical study based on physical world scenarios of deceptive behaviour occurring in a virtual collaborative environment. An agent-based modelling (ABM) approach was adopted to visualise trustworthiness that can signal deceptive behaviour in virtual communications among social actors. The modelling strategies were guided by attribution theories toward an agent’s perceived trustworthiness.
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Modeling the Cycles of Gang and Criminal Behavior: Understanding the Social and Economic Influences Bruce Skarin, Jeanine Skorinko, Khalid Saeed, Oleg Pavlov, 27th International Conference of the System Dynamics Society, 2009

One of the challenges in developing policy for dealing with asocial behavior, such as burglary, vehicle theft, or violent crimes is the seemingly unpredictable rise and fall of activity. In retrospect these cycles in crime are often attributed to changes in factors such the size of a police force, level unemployment, or high school drop-out rate. What causes changes in these factors can some times be external to a local community, such as economic shifts affecting tax revenue, however many are internally linked. For example when crime is high, there is a call for more police and when crime is low, there is a justification for reducing the size of the force. Therefore, understanding how these factors are linked together as a whole may allow for better policies that reduce asocial behavior further and create more stability in the long term.
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