Abhishek Nagaraj, Professor

Open (1) "Big Data" in Weather: The Economic Impacts of Better Hurricane Prediction

Open. Apprentices needed for the spring semester. Please do NOT contact faculty before February 5th (the start of the 4th week of classes)! Enter your application on the web beginning January 9th. The deadline to apply is Tuesday, January 23rd at 8 AM.

While there were a mystery before the 1950s, due to scientific progress in weather forecasting, we have been able to better prediction the arrival and intensity of hurricanes. What have been the main driving force behind these improvements? And what are the real economic impacts of improved hurricane predictions?

We are looking for motivated research assistants who can help us clean, build, analyze and interpret large datasets of geographic information with regards to hurricane prediction and its impacts. We will be using linux, stata, python, ArcGIS/QGIS and related software programs in our analysis.

Students with experience in data analysis / economics / environmental modeling are encouraged to apply. Expertise in analyzing data using python, Stata and Linux command line is preferred.

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 better predictions on economic outcomes.

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 hurricane prediction and/or other GIS platforms will be welcome.

Weekly Hours: 9-12 hrs

Related website: http://abhishekn.com

Open (2) Analyzing Scientific Publication data

Open. Apprentices needed for the spring semester. Please do NOT contact faculty before February 5th (the start of the 4th week of classes)! Enter your application on the web beginning January 9th. The deadline to apply is Tuesday, January 23rd at 8 AM.

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