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candidate will have strong data-driven methodological learning opportunities with high social impact on cancer care organisation. They will work within an interdisciplinary team, applying advanced modeling
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of limited value. An eHTA requires building a health-economic model and scenario analyses, which will help determine the plausible range of health improvements and cost consequences. As more data become
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’, i.e. policies that deal with problems after they occur, rather than long-term prevention. By developing innovative simulation models that incorporate the life-course consequences of policy options, your
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. Legal systems worldwide—and particularly within the European Union (EU)—are facing urgent challenges in addressing the ethical and societal impacts of AI-driven applications and machine-learning
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diseases, and how these influence, or are influenced by, labor force participation and income. In addition, you will develop simulation models to predict how different policies could reduce the disease
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to discuss findings in a peer-learning infrastructure The project is embedded in the Team Policy, Politics and Society of the Department of Public Administration and Sociology at the Erasmus School of Social
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on the situational assessment of street-level workers by vignette studies 4) SP4 includes Local and Transnational Labs in which participants will be brought together to discuss findings in a peer-learning
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on comparative effectiveness from randomised controlled trials at initial assessments and the desire to learn from the use and effects of technologies in every day clinical practice. To fully realize the value