Difference between revisions of "ANLY482 AY2015-16 Term 2"

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<th width=10%>Team</th>
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<th>About the Project</th>
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<th>Project Description</th>
 
<th width=150>Student Member(s)</th>
 
<th width=150>Student Member(s)</th>
 
<th width=150>Project Supervisor</th>
 
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<td>[[Terrorism : Unraveling Hidden Patterns]]</td>
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The purpose of the practicum is to acquaint students with quantitative studies of terrorism. The dataset includes the merger of two kinds of datasets. The first is a dataset of terrorist organizations and their attributes (ideology, size, age, funding, etc). The second is a dataset of events or terrorist attacks and their attributes (date, target, weapon used, people killed, etc) from 1967-2011. The goal is to 1) find a stable pattern, 2) display it visually, and 3) attempt to explain it or at least identify some factors that correlate with it. Those should be theoretically informed. You can also display the way the factors are correlated with explaining the pattern.
 
 
 
'''Types of analysis''':  <br/>
 
Theme: At the big-picture level, the project should focus on two aspects of terrorism:  tactics and targets of terrorist organizations. For example you may consider how a particular tactic such as the use of car bombs has spread across the globe. Alternatively you may examine how there has been a shift in targets over time.  <br/>
 
 
Here are some ideas that express this theme:  <br/>
 
Idea 1: One particular area that is relevant to Singapore is what I call Proxy Terrorism, which is terrorism aimed at a third-party. For most terrorist acts the targets are coterminous with the countries that are being attacked. The target in country A is meant to punish country A. However, some terrorist acts seek to attack targets in country A to punish country B. Examples of such attacks include tourist areas and embassies. In Singapore’s history the single successful terrorist attack – the Laju Incident – was a proxy attack. Similarly plots by Jemaah Islamiyah, that were successfully foiled, were against foreign embassies in Singapore. Neighborhood groups in Indonesia and Malaysia also engaged in proxy terrorism against tourist resorts in those countries or other proxy targets.
 
To illustrate with the above example, you may find that proxy terrorist attacks have declined precipitously or are clustered in a particular geographic area. You might display a graph over time and you may identify some factors or some conditions that make proxy terrorist attacks more likely.  <br/>
 
Idea 2: Most terrorist organizations attack both civilians and military targets. You might find that a given terrorist organization’s civilian:military ratio tends to increase over the lifespan of the terrorist organization. You might illustrate this by displaying a series of graphs over time. It may be that terrorist organizations that are ethnonationalist are more likely to have this ratio increase, while terrorist organizations that are religious tend to have this ratio decrease. <br/>
 
We will soon share a document with more ideas to help you.
 
 
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'''Suggested Platforms''': SAS Visual Analytics suite; tableau or D3.js for developing custom visualizations<br />
 
 
'''Libraries to explore''':  SAS VA, D3.js, C3.js<br />
 
 
'''Other recommendations''': No prior knowledge of any courses is assumed while designing this project but prior knowledge of Visual Analytics will be good for taking up advanced analysis during project related tasks.<br />
 
 
'''Recommended Team Composition''': Students are free to come up with their own teams but forming a team with diverse backgrounds and skill-sets is highly recommended.<br/>
 
More information on the dataset will be shared soon.
 
 
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Revision as of 10:08, 4 December 2015

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About

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List of Projects
Title Project Description Student Member(s) Project Supervisor Sponsor
Prof. Seema Chokshi

Lecturer of Information Systems, Programme Head, SMU Undergraduate Second Major in Analytics

Prof. Michael GENKIN

Assistant Professor of Sociology, SOSS