Id 4375 Data Science For Carbon Harvesting And The Agriculture Transition (Ds-Changes)
Organisation/Company: Scuola Superiore Sant'Anna di Pisa
Research Field: Economics
Researcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3)
Country: Italy
Application Deadline: 13 Feb 2025 - 12:00 (UTC)
Type of Contract: To be defined
Job Status: Not Applicable
Is the job funded through the EU Research Framework Programme?
Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure?
No
Offer Description The research will analyze the drivers of crop diversification and the adoption of carbon farming techniques in Italy, harnessing the extensive dataset generated within the project.
The activities will involve mixing econometric and machine learning techniques to construct empirical models predicting the evolution of land use change, crop yields, and the adoption and diffusion of carbon farming practices.
Particular emphasis will be placed on the examination of climatic and policy variables, encompassing regional and European incentive structures, as well as the characteristics of soil.
Furthermore, the research will assess the profitability of carbon farming practices and determine the appropriate valuation for carbon credits in the agricultural sector.
Knowledge of software for the statistical analysis of large datasets is strongly required (R, Python, Matlab, Stata).
A strong quantitative background is appreciated.
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