Complexity Science Hub

Complexity Science Hub We Are Europe's Research Center Translating Data into Solutions for a Better World.

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

rks that underlie society, from healthcare to supply chains. Through our complexity science approaches linking physics, mathematics, and computational modeling with data and network science, we develop the capacity to address today's and tomorrow’s challenges. CSH members are AIT Austrian Institute of Technology, BOKU University, Central European University CEU, Graz University of Technology, IT:U Interdisciplinary Transformation University Austria, Medical University of Vienna, TU Wien, University of Continuing Education Krems, Vetmeduni Vienna, Vienna University of Economics and Business, and WKO Austrian Economic Chambers.

🚀 A MAMMOth innovation has made it onto the 𝗘𝘂𝗿𝗼𝗽𝗲𝗮𝗻 𝗖𝗼𝗺𝗺𝗶𝘀𝘀𝗶𝗼𝗻’𝘀 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗥𝗮𝗱𝗮𝗿!A tool developed within the MAMMOth p...
03/09/2026

🚀 A MAMMOth innovation has made it onto the 𝗘𝘂𝗿𝗼𝗽𝗲𝗮𝗻 𝗖𝗼𝗺𝗺𝗶𝘀𝘀𝗶𝗼𝗻’𝘀 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗥𝗮𝗱𝗮𝗿!

A tool developed within the MAMMOth project has been recognised as a tech-ready innovation: intersectional inequality analysis and fair ranking methods for multi-attribute social networks.

Its market creation potential was rated “very high” – meaning the innovation shows multiple signals of potential to create new markets.

The tool is part of the Project’s broader work to develop methods that help AI systems work more fairly and reduce the risk of discrimination against minorities and marginalised groups – in particular by addressing multiple discrimination in tabular, network-based and multimodal data.

🧑‍🔬 MAMMOth was led by Fariba Karimi, who is a faculty member at the Complexity Science Hub, together with her team: Lisette Espín-Noboa, Mauritz Cartier van Dissel, Nicola Cinardi, Ph.D., Ana María Jaramillo Mejía, Noy Lev. It was funded by the European Commission under .

Congrats! A great recognition of research with the potential to turn into real-world impact. 👏

🔗 Innovation Radar: https://innovation-radar.ec.europa.eu/innovation/67537
🔗 MAMMOth project: https://csh.ac.at/project/multi-attribute-multimodal-bias-mitigation-in-ai-systems/

No. 3️⃣ Research Topic of the month: 𝗖𝗿𝗶𝗺𝗲 𝗶𝗻 𝘁𝗵𝗲 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗔𝗴𝗲🎯 𝗧𝗵𝗲 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲A fraud, a drug shipment, a cyberattack: at ...
01/09/2026

No. 3️⃣ Research Topic of the month: 𝗖𝗿𝗶𝗺𝗲 𝗶𝗻 𝘁𝗵𝗲 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗔𝗴𝗲

🎯 𝗧𝗵𝗲 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲
A fraud, a drug shipment, a cyberattack: at first, crime often appears as a series of individual incidents. But behind them can lie networks of people, resources and connections spanning countries and technologies.
And those networks are changing. Digitalization and globalization are creating new opportunities for cybercrime, recruitment and coordination, while AI is opening entirely new avenues for criminal activity.

🧬 𝗧𝗵𝗲 𝗦𝗰𝗶𝗲𝗻𝗰𝗲
This is where complexity science comes in. Rather than looking at cases one by one, researchers study the relationships and dynamics that shape criminal networks, drawing on mathematics, computer science, and psychology, among other fields. They employ agent-based simulations and machine learning to reconstruct criminal systems and detect behavioral patterns.

💡 𝗧𝗵𝗲 𝗜𝗺𝗽𝗮𝗰𝘁
A better understanding of criminal networks can inform more targeted use of law-enforcement resources and provide a basis for evaluating crime-control measures.

We're proud to have these researchers working on this topic at CSH: Bernhard Haslhofer, Rafael Prieto-Curiel, Stefan Kitzler, and Stefan Thurner.

🗓️ 𝗖𝗼𝗺𝗶𝗻𝗴 𝗨𝗽

We’re excited to host the 𝗜𝗡𝗧𝗘𝗥𝗣𝗢𝗟 𝗡𝗲𝘄 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗙𝗼𝗿𝘂𝗺 again this year. On 29–30 September, around 100 participants from around the world will gather under the theme “NextGen Investigation: Decoding Emerging Technologies.”

🔗 https://csh.ac.at/news/crime-in-the-digital-age-whats-it-all-about/
🔗 https://csh.ac.at/research/research-topic/crime-in-the-digital-age/

___
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. Curious about how we celebrated? Find our photos here: https://www.flickr.com/photos/complexitysciencehub/albums/72177720334349289/ — and 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/

🌟 𝗧𝗵𝗮𝘁 𝗼𝗻𝗲 𝘄𝗲𝗲𝗸 𝗲𝘃𝗲𝗿𝘆 𝘆𝗲𝗮𝗿 𝗿𝗲𝗮𝗹𝗹𝘆 𝗶𝘀 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝘀𝗼 𝘀𝗽𝗲𝗰𝗶𝗮𝗹: last week, the CSH hosted the 2026 edition of the 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗶𝗻𝗴...
01/09/2026

🌟 𝗧𝗵𝗮𝘁 𝗼𝗻𝗲 𝘄𝗲𝗲𝗸 𝗲𝘃𝗲𝗿𝘆 𝘆𝗲𝗮𝗿 𝗿𝗲𝗮𝗹𝗹𝘆 𝗶𝘀 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝘀𝗼 𝘀𝗽𝗲𝗰𝗶𝗮𝗹: last week, the CSH hosted the 2026 edition of the 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗶𝗻𝗴 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽! The ~40 participants from all over the world were challenged to visualize research projects that have one thing in common: they are complex – and therefore not exactly easy to visualize.

This year, 7️⃣ teams of designers, programmers, journalists, artists, and scientists dove deep into research on in Mexico 🇲🇽 and the impact of extreme heat on the Austrian 🇦🇹 system. They then created visual communication prototypes (from charts and gameplay to sound, performance, animation, and theater, everything was possible).

𝗝𝘂𝘀𝘁 𝘁𝗼 𝗴𝗶𝘃𝗲 𝘆𝗼𝘂 𝗮𝗻 𝗶𝗺𝗽𝗿𝗲𝘀𝘀𝗶𝗼𝗻 𝗼𝗳 𝘄𝗵𝗮𝘁 𝘁𝗵𝗶𝘀 𝗹𝗼𝗼𝗸𝘀 𝗹𝗶𝗸𝗲:

One team created a performative dramatic reading 🗣️ and data physicalization, gathering and pouring seeds to sonify the flow 🌬️ of human lives through the recruitment and violence of the cartel system.

Another team visualized statistics about the changing age groups in Vienna’s future population, their vulnerability to excess heat 🌡️, and the lives saved by increasing the city’s green space 🌳.

And another team modeled an interactive game for public installations to communicate the complex relationship between increasing budget 💸 allocations for security or rehabilitation and the reduction of cartel violence.

👏 First and foremost, a massive thanks to the amazing Liuhuaying Yang and Paul Kahn for running this incredible workshop!

👏 Also, huge thanks to Katharina Ledebur and Rafael Prieto-Curiel from the Complexity Science Hub for presenting the scientific background of the projects the participants worked on, as well as to our fantastic guest speakers Melinda Sipos, Marco Hernandez, and Cary Staples.

👏 Last but not least, thanks to all participants! In the end, it was your enthusiasm that made the workshop what it was – great fun and something really special.

If you're interested in joining the 5th edition of the workshop next year, watch this space, our other channels, or our newsletter (https://csh.ac.at/events-news/newsletter/).

🔗 All CSH visualizations: https://csh.ac.at/visuals/
🔗 More about data visualization at CSH: https://csh.ac.at/news/data-visualization-whats-it-all-about/

💫 Last chance: We’re and looking for a DIS Program Coordinator to join CSH’s Digital Innovation School.Join us in empo...
27/08/2026

💫 Last chance: We’re and looking for a DIS Program Coordinator to join CSH’s Digital Innovation School.

Join us in empowering the next generation of complexity scientists and building the future of interdisciplinary research training.

From admissions to onboarding and program development to student support and partnerships, the DIS Program Coordinator will play a key role in creating outstanding training experiences for early-career researchers across disciplines.

👀 Applications are reviewed on a rolling basis
📅 Apply by 31 August 2026
🕐 Full-time

👉 More information: https://bit.ly/4hj24Bw

Join us in welcoming 𝗚𝘂𝗶𝗹𝗹𝗮𝘂𝗺𝗲 𝗠𝗼𝗶𝗻𝗮𝗿𝗱 to the Complexity Science Hub as a postdoctoral researcher! 🎉 Guillaume joins the...
27/08/2026

Join us in welcoming 𝗚𝘂𝗶𝗹𝗹𝗮𝘂𝗺𝗲 𝗠𝗼𝗶𝗻𝗮𝗿𝗱 to the Complexity Science Hub as a postdoctoral researcher! 🎉

Guillaume joins the 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗖𝘂𝗿𝗿𝗲𝗻𝗰𝘆 𝗘𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺𝘀 team led by Bernhard Haslhofer to study distributed governance within a decentralized economy. He explores whether the “web of trust,” a decentralized identification system, efficiently prevents fraud without preventing newcomers from joining an economic network.

Guillaume holds a PhD in computer science at Sorbonne University, where he already applied complex network approaches to social issues. He studied how a group of people, scattered over a city, can gather, thus modeling protests.

Welcome, Guillaume!

🔗 More about Guillaume: https://csh.ac.at/guillaume-moinard/
🔗 More about research on Digital Currency Ecosystems at CSH: https://csh.ac.at/research/research-topic/digital-currency-ecosystems/

25/08/2026

𝗛𝗼𝘄 𝗳𝗮𝗶𝗿 𝗮𝗿𝗲 #𝗔𝗜 𝗲𝘅𝗽𝗲𝗿𝘁 𝗿𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀? 🤖 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝘃𝗶𝘀𝘂𝗮𝗹 𝘀𝗵𝗼𝘄𝘀 𝘄𝗵𝗲𝗿𝗲 𝗟𝗟𝗠𝘀 𝗳𝗮𝗹𝗹 𝘀𝗵𝗼𝗿𝘁.
CSH's Lisette Espin-Noboa and colleagues benchmarked various large language models on their ability to recommend academic experts in physics, and how fair these recommendations are.

Together with CSH data visualization expert Yi Zhe Ang, the team published the interactive visualization “𝗪𝗵𝗼𝘀𝗲 𝗻𝗮𝗺𝗲 𝗰𝗼𝗺𝗲𝘀 𝘂𝗽”.

👩‍💻‍ Explore how often each physicist was recommended across runs. On the dashbaord and leaderboard, you can view individual chatbot performance per evaluation metric.

ℹ️ View the walkthrough video to see how to use the dashboard!

💡𝗪𝗵𝗮𝘁 𝘁𝗵𝗲 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 𝘀𝗵𝗼𝘄𝘀:
• 𝟮𝟮 𝗟𝗟𝗠𝘀 from widely used model families, including Gemini, GPT, Llama, Qwen, DeepSeek, Grok, Mistral, and Gemma.
• 𝗡𝗶𝗻𝗲 𝗺𝗲𝘁𝗿𝗶𝗰𝘀 covering technical quality and social representation.
• Users can 𝗰𝗼𝗺𝗽𝗮𝗿𝗲 𝗺𝗼𝗱𝗲𝗹𝘀 and model families and explore their performance across the different metrics.

🔗 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝘀𝘁𝗼𝗿𝘆 𝘁𝗼 𝗹𝗲𝗮𝗿𝗻 𝗮𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗸𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀: https://csh.ac.at/news/who-does-ai-consider-an-expert-new-benchmark-shows-bias-across-22-llms/

🔗 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝘁𝗵𝗲 𝘃𝗶𝘀𝘂𝗮𝗹: https://vis.csh.ac.at/whosenamecomesup/

𝗧𝗵𝗲 𝟮𝟬𝟮𝟲 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗶𝗻𝗴 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽 is underway! 🚀 This week professionals from a multitude of backgrounds ...
24/08/2026

𝗧𝗵𝗲 𝟮𝟬𝟮𝟲 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗶𝗻𝗴 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽 is underway! 🚀 This week professionals from a multitude of backgrounds ‒ scientists, journalists, artists, designers, developers, and data analysts ‒ come together to sharpen their skills in the art of visualizing scientific findings. 📊

The workshop, led data by expert Liuhuaying Yang and information designer Paul Kahn, challenges participants to collaboratively analyze data from current complexity science research problems and then create visualization prototypes in hands-on team sessions.

After a short intro, things kicked off with a few rounds of speed dating in the garden. Multidisciplinary teams were formed to foster the exchange of different perspectives during what will be an exciting and inspiring week!

P.S.: Couldn't make it to the workshop but still want to meet the hosts and participants? Sign up for the 𝗗𝗮𝘁𝗮𝗩𝗶𝘇 𝗚𝗮𝗿𝗱𝗲𝗻 𝗣𝗮𝗿𝘁𝘆 𝗼𝗻 𝗧𝗵𝘂𝗿𝘀𝗱𝗮𝘆, 𝟮𝟳 𝗔𝘂𝗴𝘂𝘀𝘁, 7 pm: https://vis.csh.ac.at/vis-workshop-2026/

P.P.S.: Workshop co-host Paul Kahn just published his book "Mapping Knowledge Across Time" and will present it 𝘁𝗼𝗺𝗼𝗿𝗿𝗼𝘄 at the Shakespeare and Company Vienna book store. More info here: https://www.shakespeare.co.at/en/news/mapping-knowledge-across-time

𝗜𝗳 𝘆𝗼𝘂'𝗿𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗮𝗻 𝗲𝘅𝗽𝗲𝗿𝘁, 𝘄𝗵𝗲𝗿𝗲 𝗱𝗼 𝘆𝗼𝘂 𝘁𝘂𝗿𝗻? Whether you're a journalist, a panel discussion organizer, or a deci...
24/08/2026

𝗜𝗳 𝘆𝗼𝘂'𝗿𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗮𝗻 𝗲𝘅𝗽𝗲𝗿𝘁, 𝘄𝗵𝗲𝗿𝗲 𝗱𝗼 𝘆𝗼𝘂 𝘁𝘂𝗿𝗻? Whether you're a journalist, a panel discussion organizer, or a decision-maker looking for expert advice, finding the right expert is crucial. Increasingly, tools help with that. 𝗕𝘂𝘁 𝘄𝗵𝗼 𝗱𝗼𝗲𝘀 𝗔𝗜 𝗿𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱 𝗮𝘀 𝗮𝗻 𝗲𝘅𝗽𝗲𝗿𝘁, 𝗮𝗻𝗱 𝗵𝗼𝘄 𝗳𝗮𝗶𝗿 𝗶𝘀 𝘁𝗵𝗮𝘁? Experts who are left out can miss important career opportunities.

In a trilogy of studies, researchers at the Complexity Science Hub (CSH) benchmarked AI tools on their ability to recommend academic experts.

𝗛𝗲𝗿𝗲’𝘀 𝘄𝗵𝗮𝘁 𝘁𝗵𝗲𝘆 𝗳𝗼𝘂𝗻𝗱:

👨‍🔬 𝗙𝗶𝗿𝘀𝘁, the researchers examined AI-generated expert recommendations in physics and found that models tended to favor male, senior and highly cited scholars from the US. They also made factual errors in around 20% of recommendations.

📊 𝗡𝗲𝘅𝘁, they introduced a benchmark with nine metrics covering technical quality and social representation, and tested four user interventions across 22 LLMs for recommending physics experts. The interventions improved either factual accuracy or social representation, but not both at the same time.

🌍 𝗙𝗶𝗻𝗮𝗹𝗹𝘆, they examined whether a person’s role, language or geographic location affects the experts recommended across six academic disciplines. Geographic location influenced who was recommended, while language and role did not.

Together with CSH data visualization expert Yi Zhe Ang, the team created the interactive Hashtag “𝗪𝗵𝗼𝘀𝗲 𝗻𝗮𝗺𝗲 𝗰𝗼𝗺𝗲𝘀 𝘂𝗽”, where users can explore the performance of 22 large language models (LLMs) across nine metrics, including diversity, parity and factual accuracy.

🔗 Learn more: https://csh.ac.at/news/who-does-ai-consider-an-expert-new-benchmark-shows-bias-across-22-llms/
🔗 Explore the visualization: https://vis.csh.ac.at/whosenamecomesup/

You can find links to the three studies in the About section of the visual. The second study was recently presented at the conference. The first and third studies are currently available as preprints.

𝗪𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝘁𝗼 𝗮 𝗰𝗶𝘁𝘆 𝘄𝗵𝗲𝗻 𝗽𝗲𝗼𝗽𝗹𝗲 𝗺𝗼𝘃𝗲 — 𝗼𝗿 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗺𝗼𝘃𝗲 — 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗰𝗲𝗻𝘁𝗲𝗿 𝘁𝗼 𝘁𝗵𝗲 𝗼𝘂𝘁𝘀𝗸𝗶𝗿𝘁𝘀? Between 1990 and 2020, Mex...
21/08/2026

𝗪𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝘁𝗼 𝗮 𝗰𝗶𝘁𝘆 𝘄𝗵𝗲𝗻 𝗽𝗲𝗼𝗽𝗹𝗲 𝗺𝗼𝘃𝗲 — 𝗼𝗿 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗺𝗼𝘃𝗲 — 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗰𝗲𝗻𝘁𝗲𝗿 𝘁𝗼 𝘁𝗵𝗲 𝗼𝘂𝘁𝘀𝗸𝗶𝗿𝘁𝘀? Between 1990 and 2020, Mexico's urban population doubled – and it continues to grow. Yet at the same time, city centers have lost population (around 2.5 million people), according to a study by Tecnológico de Monterrey in collaboration with the Complexity Science Hub, published in .

The researchers examined 69 cities across Mexico to understand how they're growing. They found that every one of them lost population in its central areas — regardless of the city's size or characteristics. In 1990, more than 40% of the urban population lived in central areas. By 2020, that share had fallen to 22%.

🚗 𝗪𝗵𝗲𝗻 𝗰𝗶𝘁𝗶𝗲𝘀 𝗴𝗿𝗼𝘄 𝗼𝘂𝘁𝘄𝗮𝗿𝗱
When residents leave city centers and cities sprawl outward, the consequences can extend across urban life — including longer commutes, poorer access to public services such as hospitals and government offices, and greater reliance on cars. These changes reshape how people live, move and access the city — with consequences for quality of life, the environment, and much more

🔗 Read the study: https://doi.org/10.1038/s41467-026-75780-5

🇦🇹 𝗣𝗦: 𝗔 𝗴𝗹𝗶𝗺𝗽𝘀𝗲 𝗼𝗳 𝗩𝗶𝗲𝗻𝗻𝗮
Separate from the study, Rafael Prieto-Curiel also looked at how Vienna's population has shifted over time. In 1950, nearly 600,000 people – about 37% of the city – lived in the inner districts (1–9). By 2000, that had dropped to 35%. Since then, the inner districts have gained population back. But the outer districts are growing much faster.

𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝗿𝗲 𝗼𝗽𝗲𝗻 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 𝗶𝗻 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 at the Complexity Science Hub! This year’s call is ...
20/08/2026

𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝗿𝗲 𝗼𝗽𝗲𝗻 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 𝗶𝗻 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 at the Complexity Science Hub! This year’s call is open until October 15, 2026.

❓ 𝗛𝗼𝘄 𝗱𝗼 𝘆𝗼𝘂 𝗸𝗻𝗼𝘄 if the program is right for you ❓

If you want to use science to help change the world and create real impact. If you’re excited about combining large datasets with quantitative modeling and rigorous theory. If you’re driven to tackle critical real-world challenges.

And, a little more technically: if you have a background in the natural or social sciences or mathematics, with a strong foundation in quantitative approaches.

📅 Apply by 15 October 2026
👉 More information: https://csh.ac.at/education/graduate-program/

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