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Spatial phenomena attract increasingly interest in computational biology. Molecular crowding, i.e. a dense population of macromolecules, is known to have a significant impact on the kinetics of molecules. However, an in-detail inspection of cell behavior in time and space is extremely costly. To balance between cost and accuracy, multi-resolution approaches offer one solution. Particularly, a combination of individual and lattice-population based algorithms promise an adequate treatment of phenomena like macromolecular crowding. In realizing such an approach, central questions are how to specify and synchronize the interaction between population and individual spatial level, and to decide what is best treated at a specific level, respectively. Based on an algorithm which combines the Next Subvolume Method and a simple, individual-based spatial approach, we will present possible answers to these questions, and will discuss first experimental results.

Emergency medical care of patients with support by a telemedical system is technically feasible, safe for the patient and allows medical treatment independent of spatial availability of a physician in different emergency situations.

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Since 2005, Sabina Jeschke has been associate professor for "New Media in Mathematics and Natural Sciences" and director of the MuLF Center (Multimedia Center for New Media in Education and Research) at TU Berlin. Starting in 2001, her Berlin group has been a driving force behind the development of multimedia technologies at the university, implementing multimedia educational elements in the education of undergraduate students, in particular for engineering students. In 2000 and 2001, she worked as an assistant professor at the GaTech (Georgia Institute of Technology, Atlanta). In May 2007, Prof. Dr. Sabina Jeschke took over a full professorship for "Information Technology Services" at the Universität Stuttgart. Additionally, she acts as scientific and executive director (CEO) of the "Center of Information Technologies" of the Universität Stuttgart. The research of S. Jeschke is aimed at developing new concepts of service-oriented architectures for eLearning and eScience in particular in the fields of mathematics, natural sciences and engineering. She focuses on development and networking of interactive mathematical objects and remote/virtual experiments, on mechanisms for the creation, modification and storage of data in cooperative virtual knowledge spaces, and on the design of intelligent data analysis and validation schemes.