The impacts of climate change on human migration
Tamma Carleton, Professor
Agricultural and Resource Economics
Applications for Fall 2024 are closed for this project.
We are looking for highly motivated students interested in conducting research and analyses on a project investigating the impacts of climate change on human migration at global scale.
This research initiative aims to leverage large historical datasets to empirically quantify how human migration responds to climate change, both within and across country borders. To do so, we will identify, clean, and assemble a variety of data sets, including household surveys, administrative censuses, and population surveys, as well as geospatial and climate data products. These will be used in econometric and structural models of migration to assess how population movements respond to short and long-run shifts in the climate.
The URAP group will meet once a week with the supervisor(s) (preferably on campus but with possibility of hybrid meetings) during which each team member will provide weekly updates, discuss progress and next steps. Apprentices will work in close contact with the supervisor(s), who will be available for bilateral communication and meetings.
Each apprentice will have roughly 10 hours of individual work outside of the group meeting.
Role: The apprentice will work closely with the supervisors on the project to perform a variety of tasks including, but not limited to:
-Collecting, preparing, processing, synthesizing, and visualizing a variety of data sources, including household surveys, administrative data, climate and other geo-spatial data
- Conducting statistical and econometric analyses on the assembled large data sets
- Performing literature reviews
This project is a great fit for students who want to understand how the research process works and be exposed to research in environmental economics.
Qualifications: The required qualifications are:
- Excellent grades overall, and experience with coursework in economics (in particular econometrics), data science, statistics, environmental science and management
- Familiarity with conducting data processing and analysis in R, Stata, and/or Python
- Excellent work ethic and attention to detail
- Excellent communication, organizational and time management skills
- Ability to take initiative and work and problem solve independently
- Strong intellectual curiosity
Preferred qualifications:
- Past experience in projects involving data collection, data analysis, including working with survey data and geo-spatial data, and handling research tasks, especially in economics
- Interest in pursuing graduate studies in economics, environmental economics, sustainable development, or a related field
- Experience using Github and writing code in collaboration with others
Day-to-day supervisor for this project: Guglielmo Zappalà, Post-Doc
Hours: 9-11 hrs
Related website: https://www.tammacarleton.com/
Related website: https://guglielmozappala.github.io/