Recent research identified the presence of biases in published empirical findings across the sciences, with environmental science and economics being no exceptions. Biases in published findings pose a threat to the cumulative research process and to evidence-based environmental/climate policies. This PhD project aims to assess the extent of biases in environmental research and to compare it with other disciplines. The focus is on the application and development of methods to improve the reliability of published empirical findings to pave the way for evidence-based decision making. Particularly, systematic replication studies and meta-analysis are of interest. In addition, the candidate may be asked to assist in a limited teaching assignment.
The PhD project is embedded in a strong international research network and will be executed jointly with researchers from the Crawford School of Public Policy at the Australian National University and with researchers from the Meta-Research Innovation Center at Stanford University.
- Master in (applied) economics, business engineer, statistics, mathematics, master in (applied) sciences (or similar master with quantitative-empirical focus).
Final-year students are (likewise) encouraged to apply.
- You have a strong research interest into environmental science and economics.
- You have a strong quantitative background, ideally with a focus on (applied) statistics/econometrics.
- You dispose an outstanding problem-solving capacity.
- You dispose of very good communicative skills.
- You are cooperative and can work well in teams.
- You have a very good knowledge of English.
Deadline for application is 31 August 2019.
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