GNH

Lowering society cost of car accidents by predicting high-risk drivers

Application Area: 

Project Details

Term: 

Fall 2014

Students: 

Vannessa Peng, Davin Tsai, Shu-Ming Yeh

University: 

NTHU

Presentation: 

Report: 

Traffic accident happened every day. In order to decrease the number of traffic accident and the losses caused by the traffic accident. Our government have a lot of policy, but these policy are focus on all the citizen. But now we think the policy have to focus on the certain group, the group who have high rate in traffic accident, to let the policy have more Significant effect.

Predicting Rural Migration in India using Socio-Demographic Information

Application Area: 

Project Details

Term: 

2011

Students: 

Akshad Viswanathan, Anjali Kumari, Imran Ali Richa Gupta, Varun Sayal

University: 

ISB

Presentation: 

Report: 

India as a nation has seen a high migration rate in recent years. Over 98 million people migrated from one place to another in 1990s, the highest for any decade since independence according to the 2001 census details. However in 1970s migration was slowing down. The number of migrants during 1991-2001 increased by about 22% over the previous decade an increase since 1951. Apart from women migrating due to marriage, employment is the biggest reason for migration. The number of job seekers among all migrants has increased by 45% over the previous decade.

What makes People “HAPPY”

Application Area: 

Project Details

Term: 

2009

Students: 

Dan Curtis, Lynn Foo, Prab Goriparthi, Bakta Salla, Rob Whitener

University: 

UMD

Presentation: 

Report: 

This project explores what macroeconomic, cultural, and political factors are most predictive of the overall happiness of a nation. The project combines data from the World Database of Happiness, The World Factbook 2009, and the United Nations Human Development Report.

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