Complexity Science Hub
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The Complexity Science Hub (CSH) is Europe’s research center for the study of complex systems. We derive meaning from data from a range of disciplines – economics, medicine, ecology, and the social sciences – as a basis for actionable solutions for a better world. Established in 2016, we have grown to over 70 researchers, driven by the increasing demand to gain a genuine understanding of the netwo
No. 1️⃣ Research Topic of the month: 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀 𝗼𝗳 𝗖𝗼𝗺𝗽𝗹𝗲𝘅 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 – meet Jan Korbel!
What is his research about? What's he working on right now that he can't stop thinking about? What would he like his research to change in society? And why does he actually do what he does?
In this interview series, our researchers give you a behind-the-scenes look into their field.
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𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗶𝘀 𝘀𝗲𝗿𝗶𝗲𝘀:
In June 2026, the Complexity Science Hub celebrated its 10th anniversary — and throughout our anniversary year, we're spotlighting one research topic every month. For a deep dive into a decade of complexity science, read our 10-year publication here: https://csh.ac.at/news/its-the-complexity-stupid/
10/07/2026
Join us in welcoming Yifei Wang to the Complexity Science Hub as a new postdoctoral researcher!
Within the Transforming Economies research group, Yifei will study how technological advancements, including artificial intelligence, affect labor markets and regional economies.
Yifei completed her PhD in Economic Geography at the University of Gothenburg. In her doctoral thesis, she used Swedish administrative register data to examine how firm investments in R&D and machinery influence regional labor market dynamics.
Welcome, Yifei! 👋⠀
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🔗 More about Yifei: https://csh.ac.at/yifei-wang/
🔗 More about the Transforming Economies research group led by Frank Neffke: https://csh.ac.at/research/research-topic/transforming-economies/
10/07/2026
Huge congratulations to Jan Korbel on receiving the 🏆 𝗕𝗲𝘀𝘁 𝗢𝗿𝗮𝗹 𝗣𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗔𝘄𝗮𝗿𝗱 at the Entropy 2026 conference in Barcelona, for his talk "Homophily-Based Social Group Formation in a Spin Glass Self-Assembly Framework"!
In his research, Jan used a spin glass model – a framework from statistical physics – to describe how social groups form based on shared traits and preferences, also known as homophily.
It's a nice example of how tools built for physical systems can also help us understand social ones.
The project was developed together with Tuan Pham Minh, Simon David Lindner, Rudolf Hanel, and Stefan Thurner.
Congratulations, Jan – well deserved! 🎉
🌟 This is also a great moment to celebrate our 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗧𝗼𝗽𝗶𝗰 𝗼𝗳 𝘁𝗵𝗲 𝗠𝗼𝗻𝘁𝗵 𝗳𝗼𝗿 𝗝𝘂𝗹𝘆: Foundations of Complex Systems – https://csh.ac.at/news/foundations-of-complex-systems-whats-it-all-about/
📸 MDPI
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