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Research Assistants

Measurement and Valuation of Natural Capital

Professor Eli Fenichel is seeking a Research Assistant (RA) to support his research on the measurement and valuation of natural capital. The RA will initially help to a collate data on country-level measures of natural capital and comprehensive wealth. The position will involve compiling, cleaning, and harmonizing datasets covering natural resource stocks (e.g., forests, fisheries, minerals), indicators of environmental quality (e.g., air, water, and soil), and non-use values of the environment both across countries and over time. RA tasks specific to this project will include (but may not be limited to) working with Professor Fenichel’s postdoctoral associates in searching for datasets, documenting existing methodology and harmonizing these metrics across datasets. The RA may engage in other collaborations inside the lab of data gathering for this project, including hedonic pricing methods for wildfires and/or the valuation of topsoil resources across U.S. geographies.

Requisite Skills and Qualifications

A qualified candidate will possess strong data management skills and a willingness to attend to technical details. A key component of this particular project will be digging into dense methodological documentation from non-governmental organizations; a good candidate will be one who is not put off extracting this kind of technical information. Basic data manipulation skills using Excel or a statistical programming language (e.g., R, STATA, Python, etc...) will be required for this project and highly applicable for other projects in the lab. Established data science skills in one of these languages would likely be of additional benefit. Ability to work independently is also important.