INCLuDE 2016 - 1st International Workshop on Integrative Analysis and Computation of Life Data for Smart Ecosystems (INCLuDE 2016)

The enormous progress in information technologies (IT), in circuit miniaturization as well as the immense efforts in the investigation of biomedical and ecological systems builds a strong basis to realize an optimal, healthy, economically efficient environment. The data flow, coming from sensors, business processes, enquiries, social networks and other manifold sources is extremely complex and dynamic. Therefore, sufficient analysis methods and corresponding IT solutions are crucial for the extraction and handling of the information embedded in the data. The data generating systems need to be investigated separately. However, these systems function or exist in continuous interaction among one another. The content as well as the influence of these relations is partly investigated yet, and poses a huge challenge on innovative concepts, methodologies, models and IT-architectures. New paradigms of thought are needed for empowering science, society and business to understand, design and optimize high-dimensional, spatio- temporally interacting systems and processes.
This workshop provides the opportunity for interdisciplinary discussions of problems and potential solutions as well as for cooperation on the fascinating new world of complex life data. Competences from the area of Information Systems, Data Science, Environmental Science, Computer Science, Mathematics, Medicine, Psychology, Philosophy and Business are required to present complimentary knowledge, advanced approaches and new promising ideas contributing to the investigation of life data determined ecosystems.
Topics of interest
Methods for data analysis
Predictive analytics
Data integration
Fusion of data, methods and results
Modelling of complex life processes
Process monitoring
Ecosystem modelling
IT-infrastructures
IT-architectures
Services, e.g. for the extraction, fusion, analytics and presentation of data
Transformation processes
Sources of complex life data, e.g. social media, enterprise databases, health data
Privacy
Data protection
Result interpretation and application