The Land Economics group brings together excellent researchers from various disciplines to identify under which conditions public policies, institutional changes, and technological innovations most effectively and efficiently improve land conditions.
Our aim is to find the best policy levers to mitigate and reverse global land degradation. We use spatial data from remote sensing, machine learning, and area-based statistics, and analyze it with econometric techniques such as difference-in-differences, regression discontinuity design, and difference-in-discontinuity. We also use different modelling techniques to model land degradation and also the profitability of different technological innovations under different conditions.
Vacancies
We currently have an open Postdoc position in the field of Spatial Data Processing and Analysis (especially using Google Earth Engine)
We currently have an open Postdoc position in the field of farm level mathematical modelling and optimization
We currently have an open PhD position in the field of Spatial Data Processing and Analysis (especially using Google Earth Engine)
We currently have open PhD positions in the field of policy evaluation / causal inference (especially Diff-in-Diff and RDD)
We have multiple and diverse open student assistant positions
Projects
PhenoRob
PhenoRob aims to transform crop production by optimizing breeding and farming management through developing and deploying new technologies. PhenoRob addresses a real-world problem with a technology-oriented approach.
LAND-POLICY
Under which conditions are public policies most effective and efficient to improve land conditions? What are the cost-benefit ratios of different policy designs in different contexts?
