IT in Global Economy Report: Policy Making and EMA Analysis

This report delves into the application of Information Technology (IT) within the global economy, focusing on Exploratory Modeling and Analysis (EMA) Workbench as a key research methodology for complex and uncertain systems. It explores EMA's use in creating smart city policies, specifically analyzing the placement of traffic lights, the deployment of surveillance cameras, and the licensing of taxis. The report further identifies and discusses two crucial ICT tools for policymaking: Visualization Tools, which aid in interpreting large datasets, and Simulation Tools, particularly agent-based modeling, for reproducing complex systems. These tools are shown to be beneficial in optimizing public transport schedules and energy usage within the smart city environment. The report concludes by referencing key literature supporting the findings, highlighting the importance of data-driven decision-making in modern urban planning and technological advancements.

Running head: IT IN GLOBAL ECONOMY
IT IN GLOBAL ECONOMY
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Table of Contents
Answer to Question 1......................................................................................................................2
Answer to Question 2......................................................................................................................3
References........................................................................................................................................4

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Answer to Question 1
Exploratory Modelling and Analysis (EMA) is a well-known research methodology that
makes use of computational experiments for complex and uncertain systems. This can be defined
as an exploratory model that provides computational decision support for decision making in
robust decision making and deep uncertainty (Reddick, 2012). EMA workbench focus on
providing and support for EMA models which are developed in different modelling packages
and environment (van Berchum et al., 2018). EMA workbench is a growing set of tools which
comes up with certain tools and methods. EMA workbench is completely implemented in
Python.
EMA aims to offer suitable connection with Vensim and Excel. EMA workbench aims to
offer design for an experiment which provides support for parallel processing on both single
machine and cluster (Houghton & Siegel, 2015). EMA workbench can be used for creating a
smart city policy and this can be achieved by the use of the details of innovation. There is deep
uncertainty regarding the primary evolution in this particular area
Placement of Traffic Light: There has been the use of a simple system that come up
with deep uncertainties. It will merely assist in the implementation of traffic light more
specifically in the case of an emergency (van Berchum et al., 2018). Various devices like android
technology will help in communicating with traffic lights in a smart city. This particular step will
allow the driver to have complete control over it. This will merely help in optimizing the
response time in case of emergency.

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Surveillance camera: The use of model based integration decision support system in the
smart city. It is mainly done in the case of implementation of Information and Communication
Technology (ICT). It will provide benefits like installation of security camera in case of issues
related to theft and productivity. A security camera can easily provide a proper solution to the
given problem (van Berchum et al., 2018). It generally empowers people and prevents home and
office for becoming a much easy target.
Taxi licensed issued: EMA is beneficial in analysing the license issued by Transport
Board that indicates answering of question over the telephone from license holder. It is all about
dispatch of requirements against the Taxicab regulation.
Answer to Question 2
Depending on the literature survey, the two tools that are identified for ICT tools and
technologies which can be used for policymaking are
Visualisation Tools: This particular tool helps in having large amount of raw data which
is highlighted in interpretable form. They mainly aim to provide proper methods by which they
can uncover patterns, observation and relationship (Schwarz & Pruyt, 2016). The observation
cannot be apparent from looking at the non-visual format. In the last few years, geo-visualization
which has gained proper field of geographic information system (GIS). This particular can be
considered to be a branch of data visualization.
Simulation Tools: It is completely based on agent based modelling. It can be considered
to be technique which is model and reproducing complex system. An agent-based system is

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mainly formed by interacting with autonomous agent which represent human (Reddick, 2012).
The behaviour of agent is completely described by collection of rules.
These two tools can be considered to be beneficial in developing policy which is needed
for optimizing bus and schedule of trains. It is mainly used for energy usage and passenger wait
time in the environment of smart city.

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References
Houghton, J., & Siegel, M. (2015). Advanced data analytics for system dynamics models using
PySD. revolution, 3(4).
Reddick, C. G. (2012). Public administration and information technology. Burlington, MA:
Jones & Bartlett Learning.
Schwarz, P., & Pruyt, E. (2016). Modelling and simulation the Zika Outbreak under Deep
Uncertainty: A Multi-Method Multi-Resolution Approach. In 34rd International System
Dynamics Conference.
van Berchum, E. C., Mobley, W., Jonkman, S. N., Timmermans, J. S., Kwakkel, J. H., & Brody,
S. D. (2018). Evaluation of flood risk reduction strategies through combinations of
interventions. Journal of Flood Risk Management, e12506.