Pradeep Chhibber, Professor

Closed (1) The growing socio-economic disparity and the Indian Democracy

Applications for Spring 2019 are now closed for this project.

As India becomes more unequal can it remain democratically vibrant? We want to answer this question by looking at micro-level data across more than 200,000 village councils. In order to know how socio-economic inequality is distributed across a vast country, we will use a combination of big-data analytics, complex machine learning algorithms, and novel spatial visualization techniques.

Specifically, we intend to create and consolidate numerous large individual and village level datasets for profiling Indian villages. Consolidation of datasets with different information is a programming challenge and requires combining techniques from social science with data science.

We are looking for students with good programming skills and a basic understanding of machine learning. The students will help in web-scraping, building a fuzzy name matching algorithm for merging village and individual level datasets, and analyzing broad socio-economic patterns.

Day-to-day supervisor for this project: Pranav Gupta, Graduate Student

Qualifications: • Strong skills in Python, R, and understanding of data science libraries • Available minimum 6-8 Hours/ week • Enthusiastic about Data Science • Contextual knowledge about India is desirable but not required.

Weekly Hours: 6-8 hrs

Closed (2) Can Technology reduce Poverty? Maybe.

Applications for Spring 2019 are now closed for this project.

Just like San Francisco, in Rayagada, Odisha, India (a remote part of the diverse country) you can order everything from pizza to a washing machine online. But can you order a government service online? The answer is technically yes, but in reality, maybe. The maybe is because how the online order of public service gets fulfilled depends on who you are.

We are looking for students who can help us in ascertaining how making government services available online impacts the ability of citizens to access them. We plan to analyze data over two time periods – before and government services were made available online and assess the impact on the time taken to access services.

A team of students will work us to put together a novel dataset. The first part of the assignment will involve a detail-oriented task of searching and collating information across different sources. This will require carefully sorting through excel based datasets. Next, we will work with the team to visualize and statistically analyze the data.

We are looking for students with a keen interest in understanding the relationship between governance and human development in developing countries. Students should be detail oriented and willing to patiently work through repetitive tasks. Students with limited experience in programming will be able to develop R programming and visualization skills.



Day-to-day supervisor for this project: Anustubh Agnihotri

Qualifications: • Detail oriented • Available minimum 8-10 Hours/ week • Some programming experience is preferred but not required. • Enthusiastic about understanding the challenges of governance and human development • Contextual knowledge about India is desirable but not required.

Weekly Hours: 9-11 hrs