Annie Waldherr is a postdoctoral researcher at the Free University of Berlin, Institute for Media and Communication Studies. In 2012, she received her PhD for her dissertation on the dynamics of media attention. Her research interests include modeling public spheres, political online communication as well as science and technology discourses.
My dissertation research at the Johnson-Shoyama Graduate School of Public Policy focuses on food safety and consumer choices, using agent-based models as a novel method for investigating this policy space.
Social Innovation and Monetary Innovation. Developing Social Finance tools for social enterprises.
Agent-based modeling and simulation of public policies.
Local Policing and Colorism
complex systems science; implementation science; agent based modeling; health care infrastructure and population health; public health
Pedagogy and Web-based GIS role-playing simulation games for monitoring and restoration in watersheds and biological corridors, with public high school teachers and their students
My research interests include policy informatics and decision making, modeling in policy analysis and management decisions, public health management and policy, and the role of public value in policy development. I am particularly interested in less mainstream approaches to modeling that account for learning, feedback, and other systems dynamics. I include Bayesian inference, agent-based models, and behavioral assumptions in both my research and teaching.
In my dissertation research, I conceptualize state Medicaid programs as complex adaptive systems characterized by diverse actors, behaviors, relationships, and objectives. These systems reproduce themselves through both strategic and emergent mechanisms of program management. I focus on the mechanism by which citizens are sorted into or out of the system: program enrollment. Using Bayesian regression and agent-based models, I explore the role of administrative practices (such as presumptive eligibility and longer continuous eligibility periods) in increasing enrollment of eligible citizens into Medicaid programs.