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limited understanding of the drivers of managerial behavior in complex organizations. A great challenge lies in understanding what are crucial design elements of control systems, what design options
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. The project will have a strong quantitative component relying on computer science, machine learning, policy evaluation and causal inference. In addition, it will also contain a strong business component, in
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systems in ways that align with the social and organizational environments in which they operate? Addressing these questions requires ethnographic inquiry that considers not only the technical elements
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description In the NWO-project “Dignity in place” we combine fundamental philosophical analysis of the concept of dignity with an engaged participatory research approach, co-creating knowledge with migrant
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that are part of this program adopt a sociologically informed macro perspective - meaning that they start from the organization, organizational field, or societal level as the main unit of analysis. Otherwise
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reasoning to integrate data and theory. Methods include regression analysis, experiments, Bayesian modeling, and abductive reasoning. Our work in this area also covers how firms learn and protect knowledge
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The research at ERIM-LIS is interdisciplinary and multi-methodological. Some examples of methods we apply in our research are mathematical modelling, optimization, statistical data analysis, surveys, case
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have some experience in programming (e.g., R, Python, Julia, Scala, Java, or C++) and in data analysis, management, preparation, and visualization, ideally as part of at least one end-to-end data science
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related field. You demonstrate a strong interest and a proven track record in one of the abovementioned fields. You have a strong background in quantitative empirical data analysis methods, such as
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and implement the research independently and under guidance of the promotor and supervisor. This entails the set-up of the research, the selection of methods and theories, data collection and analysis