Inverse problems such as imaging or parameter identification deal with the recovery of unknown quantities from indirect observations, connected via a model describing the underlying context. While traditionally inverse problems are formulated and investigated in a static setting, we observe a significant increase of interest in time-dependence in a growing number of important applications over the last few years. Here, time-dependence affects a) the unknown function to be recovered and / or b) the observed data and / or c) the underlying process. Challenging applications in the field of imaging and parameter identification are techniques such as photoacoustic tomography, elastography, dynamic computerized or emission tomography, dynamic magnetic resonance imaging, super-resolution in image sequences and videos, health monitoring of elastic structures, optical flow problems or magnetic particle imaging to name only a few. Such problems demand for innovation concerning their mathematical description and analysis as well as computational approaches for their solution.

Inverse problems such as imaging or parameter identification deal with the recovery of unknown quantities from indirect observations, connected via a model describing the underlying context. While traditionally inverse problems are formulated and investigated in a static setting, we observe a significant increase of interest in time-dependence in a growing number of important applications over the last few years. Here, time-dependence affects a) the unknown function to be recovered and / or b) the observed data and / or c) the underlying process. Challenging applications in the field of imaging and parameter identification are techniques such as photoacoustic tomography, elastography, dynamic computerized or emission tomography, dynamic magnetic resonance imaging, super-resolution in image sequences and videos, health monitoring of elastic structures, optical flow problems or magnetic particle imaging to name only a few. Such problems demand for innovation concerning their mathematical description and analysis as well as computational approaches for their solution.

Anne Walde analysiert politische Aushandlungsprozesse im Zusammenhang mit sinkenden Schulerzahlen in vom demografischen Wandel und Abwanderung betroffenen Stadten. Am Beispiel Leipzigs und der rumanischen Stadt Timisoara betrachtet sie die hierbei haufig kontrovers diskutierten Entscheidungen uber Schulschliessungen sowie das Aufeinanderstossen gegensatzlicher Interessen von Eltern, Schulen, Politik und Verwaltung. Mithilfe der Governance-Perspektive zeigt die Autorin, dass die politischen Entscheidungen von den Akteuren und deren Handlungsmoeglichkeiten gegenuber anderen Akteuren abhangen und wie sich dies konkret vor Ort darstellt.