Abhishek Nagaraj, Professor

Closed (1) Big Data Mapping: Analysing the Impact of Geographic Information

Applications for Fall 2017 are now closed for this project.

Geographic information or digital maps are everywhere -- think about Google Maps, traffic information or weather information. We are interested in the quantifying the impact of geographic information on consumers and firms. By understanding the value of geographic information we are hoping to better design these data platforms for consumers and improve social outcomes.

We are looking for motivated research assistants who can help us clean, build, analyze and interpret large datasets of geographic information. This includes gigabytes of traffic information and user-generated geographic information from the OpenStreetMap platform.

You may contact me at nagaraj@berkeley.edu for any questions or concerns.


You will be involved with creating datasets from unstructured data, structuring and cleaning these data using python and analyzing them using STATA. You will perform analyses and jointly work with me towards understanding the impact of geographic information on outcomes such as traffic patterns and route choice of drivers.

Qualifications: The following skills will be needed and familiarity with them is preferred: a) regression analysis using STATA (required) b) python programming (desirable) c) typesetting using Latex (desirable) d) familiarity with linux server and command line tools (required) In addition, any interest in and familiarity with OpenStreetMap and/or other GIS platforms will be welcome.

Weekly Hours: 9-12 hrs

Related website: http://abhishekn.com

Closed (2) Analyzing Scientific Publication data

Applications for Fall 2017 are now closed for this project.

We are interested in understanding the production of scientific articles in the field of remote sensing and earth and planetary sciences. An an URAP you will analyze data on scientific publications, including the content analysis of the text of the papers, the authors, the universities and creating maps of collaborations over time. Data will be collected and analyzed using a combination of Stata and Python.


You may contact me at nagaraj@berkeley.edu for any questions or concerns.

Qualifications: URAP will need to be familiar with regression analysis and summary statistics using STATA. Some knowledge of python / command line data manipulation is also desired.

Weekly Hours: 9-12 hrs

Related website: http://www.abhishekn.com