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Mar 2020
CANCELLED: CSH Workshop: “Building non‐Euclidian spaces to measure, understand, and navigate complex social transitions”
This workshop is organized by Shade Shutters, Arizona State University and Carlos Molinero, CSH Faculty. Abstract: Urban systems are characterized by complex and cryptic structures of interdependent parts and sub‐ systems. Elucidating those parts and their connections is extremely difficult for systems such as urban economies. Often, researchers must rely on distributions of system parts to compare one complex system to another. Yet using distance metrics between distributions ignores the relative importance of the individual categories of a…
Find out more »CSH–OeAW Lecture by Ronnie Ellenblum: “‘Resilience’ or ‘Fragility’? Reconsidering Climate and Historical Civilizations”
OEAW's FWF Wittgenstein-Prize Project “Moving Byzantium” and the Complexity Science Hub Vienna, Research Group "Social Complexity and Collapse", would like to invite to a public lecture on "'Resilience' or 'Fragility'? Reconsidering Climate and Historical Civilizations" by Prof. Ronnie ELLENBLUM, The Hebrew University of Jerusalem The lecture will take place at the Österreichische Akademie der Wissenschaften, Hollandstraße 11-13/1, 1020 Vienna. After the talk we invite to a wine reception. Abstract: In his lecture, Ronnie Ellenblum will suggest…
Find out more »CSH Talk by Mirsad Hadzikadic: “Data Science, Machine Learning, Artificial Intelligence, Complex Adaptive Systems, Computational Social Science, and Ethics: What Do They Have in Common?”
The lecture by Mirsad Hadzikadic from the University of North Carolina at Charlotte will take place at the Complexity Science Hub Vienna. If you are interested in participating, please email to office@csh.ac.at. Abstract: We live in a digital world today. Almost every aspect of our existence is recorded somewhere, on some computer. But, are these data on our behavior being used truly effectively? Ethically? Usefully? In this talk, we will cover a range of advanced technologies that…
Find out more »CSH Talk by Marcia Ferreira Goncalves: “The ‘adjacent possible’ theory and how it can help research evaluation”
The lecture by Marcia Ferreira Goncalves from CSH Vienna will take place at the Complexity Science Hub Vienna. If you are interested in participating, please email to office@csh.ac.at. Abstract tba
Find out more »2nd Complexity Science Hub Vienna Winter School
Join us for a week of interactions with internationally renowned complexity scientists in the beautiful Austrian mountains. The Complexity Science Hub Vienna Winter School offers an intensive week of morning and afternoon classes, afternoon skiing and evening fireside chats with internationally renowned complexity scientists. March 22-27, 2020 | Obergurgl University Center Arrival day: March 22, 2020 Opening of the Course: Monday, March 23, 2020 | 8.00 a.m. Closing of the Course: Friday, March 27, 2020 | noon …
Find out more »May 2020
CSH Workshop: “Stochastic thermodynamics of complex systems”
This workshop is organized by David Wolpert, Santa Fe Institute & CSH External Faculty and Jan Korbel, CSH Associate Faculty. Abstract Stochastic thermodynamics is an emerging extension of conventional equilibrium statistical physics designed for analyzing non-equilibrium thermodynamics of small systems, down to the level of individual trajectories. In stochastic thermodynamics, we typically consider a system undergoing a continuous-time Markov process while coupled to (one or more) infinite heat, particle, or work reservoirs. If there is a single infinite…
Find out more »Jun 2020
CSH Workshop: “Stochastic dynamics for complex systems”
This workshop is organized by Christian Kühn, CSH External Faculty and TU Munich as well as Maximilian Engel & Alexandra Neamtu, TU Munich. Abstract In many complex systems modeling at a full-scale detail is impossible. Either, not all relevant processes are known precisely, or even if they are, there are uncertainties in parameters and external influences. Furthermore, microscopic models often become far too complicated for analytical or even numerical treatment. In all these cases, stochastic methods have proven to…
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