KLI Colloquia are informal, public talks that are followed by extensive dissussions. Speakers are KLI fellows or visiting researchers who are interested in presenting their work to an interdisciplinary audience and discussing it in a wider research context. We offer three types of talks:
1. Current Research Talks. KLI fellows or visiting researchers present and discuss their most recent research with the KLI fellows and the Vienna scientific community.
2. Future Research Talks. Visiting researchers present and discuss future projects and ideas togehter with the KLI fellows and the Vienna scientific community.
3. Professional Developmental Talks. Experts about research grants and applications at the Austrian and European levels present career opportunities and strategies to late-PhD and post-doctoral researchers.
- The presentation language is English.
- If you are interested in presenting your current or future work at the KLI, please contact the Scientific Director or the Executive Manager.
Event Details
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In the biosciences, the rapidly growing amount of experimental results and the increasing complexity of the phenomena under investigation pose an unprecedented challenge for the interpretation and integration of the accumulated data. Abstraction and modeling are required. Due to the improvement of computational methods, the modeling of biological phenomena has reached a completely new stage. It is now possible to model spatial and temporal interactions of nearly all processes in hitherto unknown detail, and with increasing sophistication. The generation of models promotes the organization of data and knowledge, the formulation of hypotheses, the estimation of measures, and the analysis and classification of results. At the same time, bottom up models elucidate the properties of natural biological systems. Therefore, the concepts and methods used in modeling and simulation are a key for major advances in the biological sciences. The present workshop investigates the ways in which the new modeling strategies help and influence our understanding of biological processes.
