The European Summer School in Resource and Environmental Economics offers advanced training on European topics in environmental and resource economics for young researchers from all over Europe and beyond. A maximum of 20 students is selected to participate each year. The summer school includes lectures by professors, presentations by participants, reading sessions, counseling sessions and social events. The lecturers are leading experts in the field and cover it comprehensively.
The 2024 EAERE Summer School will address the topic Data science in environmental economics research and will take place from 22 to 28 June 2024 in Castle Seggau, close to Graz, Styria, Austria.
Objectives: Today, the availability of data coming from numerous different sources and formats, e.g.; remote sensing data, geospatial data, very large and/or high frequency datasets, allows to empirically analyze problems in environmental economics in an unpreceded detail. In order to process and use this data, a large set of different tools need to be applied. The 2024 EAERE Summer School will focus on the intersection of environmental economics and data science, with a particular emphasis on the increasing use of data science and novel statistical methods in environmental economics research. This includes the use of machine learning, spatial statistics and data analysis, remote sensing, the use of "alternative data" and big data applications. The goal of the summer school is to address new developments in these fields, to highlight their potential applications in environmental economics, and to foster the implementation of novel empirical methods in environmental economics research.
Admission: The Summer School is targeted to doctoral and post-doctoral students. Admission is conditional on the presentation by each student of his/her doctoral work; therefore applicants normally need to be advanced in their PhD to have produced at least one substantive chapter, but are not requested to have completely finished their thesis. >> Apply now!
