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if the necessary clean energy and energy infrastructure is available at competitive costs. Large-scale investments in the energy sector meanwhile get off the ground only if industry is prepared to electrify its
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and interests: A MSc degree in a relevant field such as data science, econometrics, health economics, operations research, or a related discipline. A strong background in quantitative research, with
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may include (but are not limited to): peer effects, work team design, rank effects, and managerial effects. The PhD project will be primarily empirical, with a focus on applying modern micro-econometric
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disclosure on this topic. For instance, as of 2024, the European Corporate Social Responsibility Directive (CSRD) mandates disclosure and assurance of non-financial information for large firms. This project
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Social Responsibility Directive (CSRD) mandates disclosure and assurance of non-financial information for large firms. This project aims to examine how various stakeholders affect the CSR challenges firms
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quantitative discipline such as (Quantitative) Marketing, Econometrics, (Quantitative) Psychology, Data Science or related fields. Is skilled in working with time series, panel and/or unstructured data. Has
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work will support policy makers to make better-informed decisions. Using large administrative datasets, you will develop models and provide estimates for two policy cases: (i) free-of-charge
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Psychology, Marketing, Business, Economics, Econometrics, Communication, Data Science, or a closely related field. You have experience with data analysis (e.g., R, SPSS, Stata, Python, SQL), web scraping, and
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(or will complete by September 2025) a (Research) Master’s degree in Psychology, Marketing, Business, Economics, Econometrics, Communication, Data Science, or a closely related field. You have
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are interested in retaining donors and increasing donations. Though the topic of charitable giving has been studied a lot in the past, there is ample room for research focused on dynamics, long-term effects, large