ITS832 UMUC Policy Making in Complex World Annotated Bibliography

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XFP1

Business Finance

ITS832

University of Maryland University College

Description

You'll have to identify similar research, read the papers, and assimilate prior work into your own research. An annotated bibliography helps you develop and hone these research skills.

Your paper will be an annotated bibliography, specifically focusing on the topic of using simulations for policy making. The papers you select must address how IT is used to model behavior for policy making.

You paper must be in correct APA format, use correct grammar, and will need to include at five (5) resources, ALL of which must:

1) Be current. Published within the last few years.

2) Be peer-reviewed.

3) Relate directly to using simulations for policy making. The papers you select must address how IT is used to model behavior for policy making.

USE YOUR OWN WORDS!!!! DO NOT PLAGIARIZE!!!!

Remember that an annotation is not the same as an abstract. Abstracts are descriptive. Your annotations are to be evaluative and critical. Give me enough information for me to decide if I'm interested enough to read the paper, and also how you perceive the paper. Don't go skimpy on these annotations, but DO NOT write too much here. Quality is far more important that quantity. This exercise is for each of you to demonstrate that you can identify, categorize, and digest multiple research papers.

Every resource you choose must be peer reviewed. That means the paper must have undergone a formal peer review before being published in a journal or presented at a conference. You must ensure that your resources have undergone rigorous reviews. In most cases, you can find out the review process for a conference or journal by visiting the appropriate web site. Do not simply assume that a resource is peer reviewed - check it out.

Here are a few URLs with additional information: (I strongly suggest that you look at these. Really.)

https://sites.umuc.edu/library/libhow/bibliography...

https://www.bethel.edu/library/research/apa-annobib-sixth.pdf\

http://libguides.enc.edu/writing_basics/annotatedb... <<<< Check out the "Rules! rules! rules!" section

http://guides.library.cornell.edu/annotatedbibliog...

https://owl.english.purdue.edu/owl/resource/614/03...

Unformatted Attachment Preview

ITS 832 Chapter 3 The Quality of Social Simulation: An Example from Research Policy Modelling Information Technology in a Global Economy Professor Michael Solomon Introduction • • • • The Quality of Social Simulation: • An Example from Research Policy Modelling A simulation is good • “… when we get from it what we originally would have liked to get from the target” Different views • • • Standard Constructionist User community Chapter focus • Different approaches to assessing the quality of a simulation Simulation comparison Standard View • Verification • Does the code do what it is supposed to do? • Validation • Do the outputs resemble observations of the target? • Relies on the observability of reality • Must be able to compare simulation output to reality • Standard view may suffer from under-determination • Multiple incompatible theories may result from the same data Constructionist View • Compares • • What you observe in the real world with, What you observe as simulation output • Seems similar to Standard view, right? • Constructionists view all observations as constructions • Evaluation is not possible • Even observations of reality lack the ability to pass validation User Community View • Evaluation is carried out • Using the observations of the affected user community • Not just based on prior knowledge • Closer to “real” results • Often, results are influenced by multiple related factors Policy Modelling for Ex-ante Evaluation of EU Funding Programs Horizon 2020 Study Workflow Summary • Simulation quality depends on simulation process • Three different simulation views • • • Standard Constructionist User community • User community view • • Most promising Most work-intensive ITS 832 Chapter 4 Policy Making and Modelling in a Complex World Information Technology in a Global Economy Professor Michael Solomon Introduction • Policy Making and Modelling in a Complex World • Complexity • Managing Complex Systems • Modelling for Complex Systems Complexity • System composed of multiple interacting elements • Possible behavioral states can combine in ways that are hard to predict • Many complex systems in the physical world • Adaptive capacity of organisms allow for long-term survival in complex systems • Complex Adaptive Systems (CAS) Double Pendulum Example Common Mistakes in Managing Complex Systems • Quantification • • • Policy is biased towards easily quantifiable features Most often, monetary quantification Commonly overlooks important non-quantifiable aspects • Compartmentalization • • • Attempts to simplify complex social systems Large systems are split into smaller systems Likely to miss interactions between smaller systems • Spillover effect Complexity in Policy Making • Common approaches • Instrumental • • • Choosing between a set of possible policies Evaluated based on past effectiveness Requires • Large enough pool of available strategies • Effective assessment if effectiveness • Representational • • Series of models Each is assessed on its ability to predict observed behavior Instrumental Approach Representational Approach Agent-based Models • Represents individuals as separate models • Agents interact through a network • Distributed nature allows for realistic interactions • SIMSOC • • Simulated Society Modeling projects repository Summary • Complex systems are difficult to model • Interactions can be unpredictable • Common mistakes in modeling complex systems • • Quantification Compartmentalization • Two common approaches to complex system modeling • • Instrumental Representational • Agent-based modeling
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Explanation & Answer

Attached.

Running head: ANNOTATED BIBLIOGRAPHY

Annotated Bibliography: Using Simulations for Policy Making
Student’s Name
Institutional Affiliation

1

ANNOTATED BIBLIOGRAPHY

2
Introduction

The process of policymaking has been adhering to the behavioural models for an
extended period as the fundamental guidelines for decision-making. This way, there has been a
lack of a particular set of activities, which have been acknowledged for utilisation during the
decision-making process. The objective of this paper is composing an annotated bibliography for
some models, which could be utilized for the process of making policy in IT.
Annotated Bibliography
Ahrweiler, P., (2017). Agent-based simulation for science, technology, and innovation
policy. Scientometrics, 110(1), 391-415. https://doi.org/10.1007/s11192-016-2105-0
Ahrweiler points out the challenges of uncertainty, complexity, and urgency that
refute the anticipation of social systems mainly, where there is involvement of the new
knowledge as a changer of the original game. Agent-based simulation and modelling, as the
author highlights offer unique opportunities for addressing the challenges of prediction and
planning (policymaking) in social systems. The IT inform the ABMs in a way that STI
(science, technology and innovation) policy worlds can be integrated into computers. The
worlds under computational STI enhances case analysis, policy modelling, experimentation,
and testing before any implementation of the policy to the real world. This way, the author is
clear in the description of the simulation for policymaking utilising IT. However, the
simulation can assist individuals in shedding light into the future darkness rather than
anticipating it...


Anonymous
Very useful material for studying!

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