Universiteit Antwerpen, Stadscampus, Faculteit Sociale Wetenschappen, Departement Politieke Wetenschappen
Universiteit Antwerpen, Stadscampus, Faculteit Sociale Wetenschappen, Departement Politieke Wetenschappen
2 Projects, page 1 of 1
assignment_turned_in Project2011 - 2017Partners:Universiteit Antwerpen, Universiteit Antwerpen, Stadscampus, Faculteit Sociale Wetenschappen, Departement Politieke Wetenschappen, Leiden University, Universiteit Leiden, Faculteit der Sociale Wetenschappen, Instituut Politieke WetenschapUniversiteit Antwerpen,Universiteit Antwerpen, Stadscampus, Faculteit Sociale Wetenschappen, Departement Politieke Wetenschappen,Leiden University,Universiteit Leiden, Faculteit der Sociale Wetenschappen, Instituut Politieke WetenschapFunder: Netherlands Organisation for Scientific Research (NWO) Project Code: 452-10-016News media are a central player in contemporary western democracies. Yet their political influence is poorly understood and the ways politics and media interact require deeper investigation. Studies of the ways media set the political agenda have given insights into aspects of the relationship between media and politics. Problematically, however, this literature hardly ever treats the relationship as a reciprocal one, wherein both journalists and politicians influence one another. The aim of this project is to map out and explain how politicians and journalists interact and how they influence each others? work. Using a comparative research design, I will study how the interactions between politicians and journalists are shaped by systemic and institutional factors related to both political institutions and media systems in different countries. Key questions to be addressed are: Under what circumstances do the news media influence political actors? And how often is the news determined by political pressure or spin? The project will look from different angles at the same negotiating process between politicians and journalists to enhance our understanding of the relationship and its consequences. To disentangle this political media complex the project consists of three subprojects: (1) a comparative large N-analysis of parliamentary questions and media content, (2) a survey among political elites and journalists in three countries and (3) a number of in-depth case studies of the media?s role in the Dutch process of policy making. The broader aim of this study is to contribute to a theory that can explain why, when and how political actors influence and are influenced by the news media.
more_vert assignment_turned_in ProjectFrom 2024Partners:Universiteit Antwerpen, Maastricht University, Maastricht University, MERLN - Institute for Technology-Inspired Regenerative Medicine, Cell Biology - Inspired Tissue Regeneration (cBITE), Universiteit Antwerpen, Stadscampus, Faculteit Sociale Wetenschappen, Departement Politieke Wetenschappen, Universitair Medisch Centrum Utrecht, Orthopedie +4 partnersUniversiteit Antwerpen,Maastricht University,Maastricht University, MERLN - Institute for Technology-Inspired Regenerative Medicine, Cell Biology - Inspired Tissue Regeneration (cBITE),Universiteit Antwerpen, Stadscampus, Faculteit Sociale Wetenschappen, Departement Politieke Wetenschappen,Universitair Medisch Centrum Utrecht, Orthopedie,Maastricht UMC+,Maastricht UMC+, Reumatologie,Maastricht University, MERLN - Institute for Technology-Inspired Regenerative Medicine, Cell Biology - Inspired Tissue Regeneration (cBITE), Spatial Omics for Regenerative Medicine,Universitair Medisch Centrum UtrechtFunder: Netherlands Organisation for Scientific Research (NWO) Project Code: KICH2.V4P.RNL22.007Osteoarthritis (OA) affects hundreds of millions of patients, and its incidence will increase due to our aging population. Considering this, the urge for early diagnosis has never been stronger. In this project we will develop state-of-the-art methods to detect blood proteins and genetic material associated with the onset of OA in people who are followed over a long period of time until they develop OA. Artificial intelligence, digital PCR and Proximity extension assay will be employed to design predictive tests. Finally, we will investigate what determines the perception of people towards healthcare screening, thereby decreasing the risk of developing OA.
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