Politics & Law

Predicting Safety of U.S. Cities

Application Area: 

Project Details

Term: 

2010

Students: 

Elyas Akram, Min Chen, Phuong Le, Bavan Vargese, Fan Zhang

University: 

UMD

Presentation: 

Report: 

Do certain socio-economic factors influence the violent crime rates of cities in the United States, and hence can be used to predict the safety of these cities? The goal of this project is to classify U.S. cities as “safe” or “unsafe” based on expected violent crime rates.

Predicting the outcome of malpractice lawsuits

Application Area: 

Project Details

Term: 

2005

Students: 

Andrea Chod, David Hofberg, John Jepsen, Christine Nguyen, Eric Zirofsky

University: 

UMD

Presentation: 

Judgment or settlement is an important consideration for professional reputation of doctors in malpractice lawsuits.

The project aim is to build a model for predicting the outcome of a malpractice suit: whether it will result in a settlement or judgment, using data from the National Practitioner Data Bank

Analysis of the 2000 and 2004 presidential elections

Application Area: 

Project Details

Term: 

2005

Students: 

David Alosi, Douglas Boyd, Adam Hughes, Jordan Lichman, Derek Vansant

University: 

UMD

Presentation: 

The goal of this project is to characterize
(1) Democratic vs Republican counties in the US, based on demographics
(2) "Party switchers" - counties that switched parties from 2000 to 2004

Multi-source data were combined: Census data, data from the Bureau of Economic Analysis, geographical data, and data from cnn.com

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