Metody analizy systemów złożonych - osobisty punkt widzenia
[Data-intensive methods for complex systems analysis - a personal perspective]

Michael Bussmann (CASUS, Helmholtz-Zentrum Dresden-Rossendorf, Germany)


Complex systems have been under investigation for more than 50 years as an 
interdisciplinary subject. Similar to the revitalization of Machine Learning 
driven by huge amounts of high quality data and affordable hardware, the 
understanding of complex systems is driven by massive amounts of scientific 
data coming from both measurement and simulation. Many scientific disciplines 
face similar challenges in extracting knowledge from these data. We want to 
show how this development can be understood as a new kind of movement towards 
data-intensive complex systems understanding. 


More information on CASUS - the Center for Advanced Systems Understanding - 
is available from: https://www.hzdr.de/db/Cms?pOid=57317&pNid=0&pLang=en