iiinova — where your digital self keeps evolving

𝗧𝗵𝗲 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿𝘀: We're proud to have the following people working on this topic at the Complexity Science Hub: @behas.bsky.social, Rainer Stütz, Stefan Kitzler, Alexander Kropiunig, Allison Owen, Johann Stockinger.

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𝗧𝗵𝗲 𝗜𝗺𝗽𝗮𝗰𝘁: Vast sums of money are circulating in digital currencies. When failures occur, society ultimately bears the costs. Data-driven insights can identify risks at the individual level as well as the potential for systemic collapse, enabling the design of safeguards and interventions.

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Based on this new information, a model can be constructed that represents the cryptoasset ecosystem as closely as possible. The model allows to address questions such as: How can a stablecoin collapse? How resilient is the system to cyberattacks? And much more.

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𝗧𝗵𝗲 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗮𝗻𝗱 𝗪𝗵𝗲𝗿𝗲 𝘁𝗵𝗲 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 𝗟𝗶𝗲𝘀: To tackle illicit activities on the dark web, transaction-flow networks and large-scale graphs with billions of nodes (wallet addresses) and edges (transactions) are computed from publicly available blockchain data and subsequently processed and analyzed.

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𝗖𝗦𝗛 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝘁𝗼𝗽𝗶𝗰 𝗼𝗳 𝘁𝗵𝗲 𝗺𝗼𝗻𝘁𝗵 𝗡𝗼. 4️⃣ 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗖𝘂𝗿𝗿𝗲𝗻𝗰𝘆 𝗘𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺𝘀 Digital currencies such as #Bitcoin have become the primary means of payment in global #cybercrime. Using #complexity science, it becomes possible to follow the crypto money. 🧵👇🧪 csh.ac.at/news/digital...

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Congratulations to both of you, well deserved!! We’re very happy to have had you as part of the CSH community and wish you all the best for whatever comes next! More about Hannah: csh.ac.at/hannah-schus... More about Jan: csh.ac.at/jan-bachmann/

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And Jan investigated how inequalities in academia can emerge and compound over time. He defended his thesis "Dynamics of Inequality Among Individuals, Groups, and Departments in Academia". @tugraz.bsky.social @netincsh.bsky.social

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Hannah defended her thesis "The Complexity of Crisis Situations: Data-Driven Approaches for Disaster Management." At CSH and @wuvienna.bsky.social, she explored different use cases of data-driven crisis management ‒ from critical infrastructure accessibility to heat-related health risks

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Twice the reason to celebrate: 𝗛𝗮𝗻𝗻𝗮𝗵 𝗦𝗰𝗵𝘂𝘀𝘁𝗲𝗿 and 𝗝𝗮𝗻 𝗕𝗮𝗰𝗵𝗺𝗮𝗻𝗻 have both earned their #PhD!

Five people stand smiling in front of a large video screen showing close-up faces of remote participants joining via video conference.

Jan Bachmann, wearing a doctoral hat and glasses, gestures with both hands open, standing in front of a glass wall decorated with network diagram illustrations and a checkerboard pattern, with champagne bottles and glasses on a table below.

Three people stand in front of a projection screen showing two remote participants in a video call, in a classroom with a green chalkboard and a small robot visible in the foreground

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Interested in becoming a #postdoc at CSH? In addition to our regular job openings, we also have a postdoc program. There’s no application window open right now, but you can find out more and stay up to date here: csh.ac.at/education/po...

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A highlight of last week's #PostDocAppreciationWeek at CSH was the 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗖𝗿𝗮𝘀𝗵 𝗖𝗼𝘂𝗿𝘀𝗲 led by our award-winning dataviz expert 𝗟𝗶𝘂𝗵𝘂𝗮𝘆𝗶𝗻𝗴 𝗬𝗮𝗻𝗴. 30 postdocs from various institutions explored hands-on strategies to make data-driven scientific findings clearer and more engaging #complexity

group of people stand in an ornate room with a crystal chandelier, decorative wall panels, and colorful chairs, with screens displaying presentation content and banners visible in the background.

A large group of people stand in an ornate room with decorated walls and arched windows, gathered around white work tables with laptops, facing a screen displaying a 'Sketch Challenge' slide.

About a dozen people sit around white tables with laptops in an ornate ballroom with a crystal chandelier listening to a presentation as part of the Data Visualization Crashcourse

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What's different this time? "There's an open question whether it will be humans who take the new jobs generative AI creates," says Vipond. The speed of adoption also matters, and it is likely much faster than in the 19th century.

𝗪𝗵𝗮𝘁 𝗰𝗼𝘂𝗹𝗱 𝘁𝗵𝗶𝘀 𝗺𝗲𝗮𝗻 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗔𝗜 𝗮𝗴𝗲? "The impact on workers, their families, and regions will not only depend on how many jobs are lost to generative AI. How many jobs are created, where, and for whom will be at least as important," says Hillary.

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📍𝗡𝗲𝘄 𝗯𝗼𝗼𝘁𝗺𝗮𝗸𝗶𝗻𝗴 𝗷𝗼𝗯𝘀 𝗰𝗹𝘂𝘀𝘁𝗲𝗿𝗲𝗱 𝗴𝗲𝗼𝗴𝗿𝗮𝗽𝗵𝗶𝗰𝗮𝗹𝗹𝘆. 44% emerged in just two counties where factories were built. 🚺 𝗙𝗲𝗺𝗮𝗹𝗲 𝘄𝗼𝗿𝗸𝗲𝗿𝘀 𝘄𝗲𝗿𝗲 𝗿𝗲𝗽𝗹𝗮𝗰𝗲𝗱. Most women in the industry hand-stitched leather pieces together. The new machines replaced them entirely, while most men had more skills that stayed in demand.

🔨 𝗜𝗻𝗰𝘂𝗺𝗯𝗲𝗻𝘁 𝘄𝗼𝗿𝗸𝗲𝗿𝘀 𝗱𝗶𝗱𝗻'𝘁 𝗹𝗼𝘀𝗲 𝘁𝗵𝗲𝗶𝗿 𝗷𝗼𝗯𝘀. A market for handmade shoes persisted, especially among wealthier consumers. 👦 𝗬𝗼𝘂𝗻𝗴 𝗽𝗲𝗼𝗽𝗹𝗲 moved into new occupations, such as machine operation, management, and sales. 👉 The trade disappeared 𝗽𝗿𝗶𝗺𝗮𝗿𝗶𝗹𝘆 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝘁𝗵𝗶𝘀 𝗰𝗼𝗹𝗹𝗮𝗽𝘀𝗲 𝗼𝗳 𝗲𝗻𝘁𝗿𝘆 of young workers.

What happened next: 📉 𝗝𝗼𝗯𝘀 𝗱𝗶𝘀𝗮𝗽𝗽𝗲𝗮𝗿𝗲𝗱: 153,000 bootmaking jobs vanished between 1851 and 1911 📈 𝗝𝗼𝗯𝘀 𝗲𝗺𝗲𝗿𝗴𝗲𝗱: Yet nearly as many – around 140,000 new jobs – were created.

Bootmaking was one of England's largest industries – employing around 220,000 people by 1851. Then new sewing machines were invented that could process thick shoe leather, and bootmaking was mechanized.

👞 𝗪𝗵𝗮𝘁 𝗯𝗼𝗼𝘁𝗺𝗮𝗸𝗶𝗻𝗴 𝗶𝗻 𝗩𝗶𝗰𝘁𝗼𝗿𝗶𝗮𝗻 𝗘𝗻𝗴𝗹𝗮𝗻𝗱 𝗰𝗮𝗻 𝘁𝗲𝗹𝗹 𝘂𝘀 𝗮𝗯𝗼𝘂𝘁 #𝗔𝗜 𝗮𝗻𝗱 𝘁𝗵𝗲 #FutureOfWork. CSH's 𝗛𝗶𝗹𝗹𝗮𝗿𝘆 𝗩𝗶𝗽𝗼𝗻𝗱 quantified the labor market impact of labor-saving tech across an entire technological shock (1851-1911) and how workers adapted. 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗽𝗮𝗽𝗲𝗿: shorturl.at/7VIce 𝗧𝗵𝗿𝗲𝗮𝗱 👇🧵🧪

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📖 Eric's just published a new paper on how property rights and status competition shape wealth display, evil eye beliefs, and egalitarian norms 👉 www.sciencedirect.com/science/arti...

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𝗝𝗼𝗶𝗻 𝘂𝘀 𝗳𝗼𝗿 𝗼𝘂𝗿 𝗻𝗲𝘅𝘁 "𝗪𝗘𝗱𝗻𝗲𝘀𝗱𝗮𝘆 𝗦𝗔𝗟𝗢𝗡". The big question of the evening: 𝗛𝗼𝘄 𝗱𝗼𝗲𝘀 𝗮 𝘀𝘄𝗮𝗿𝗺 𝗰𝗼𝗼𝗿𝗱𝗶𝗻𝗮𝘁𝗲 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗮 𝗹𝗲𝗮𝗱𝗲𝗿? Orit Peleg (@colorado.edu) explores this on the example of fireflies. Moderated by @spintheory.bsky.social #scicomm 📆✍️ 𝗪𝗲𝗱, 𝗢𝗰𝘁 𝟳 𝟮𝟬𝟮𝟲, 𝟲 𝗽𝗺 @ CSH 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿: shorturl.at/DbqrE

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🔗 The contribution was published in the 𝟮𝟬𝟮𝟲 𝗪𝗼𝗿𝗹𝗱 𝗥𝗶𝘀𝗸 𝗥𝗲𝗽𝗼𝗿𝘁, published annually by @dasbuendnis.bsky.social, Institute for International Law of Peace and Armed Conflict (IFHV), (Andrea paid them a visit at the #ExtremWetterKongress Hamburg), and @ruhr-uni-bochum.de weltrisikobericht.de

Andrea Vismara (middle) at the stand of Bündnis Entwicklung Hilft at ExtremWetterKongress Hamburg. On the left managing director Dr. Ilona Auer-Frege and Daniel Weller from IFHV.

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💡 𝗪𝗛𝗔𝗧 𝗧𝗢 𝗗𝗢 Policy makers could reduce the cost of money transfers before a storm, the authors argue. Other measures could include expanding access to financial services in rural, disaster-prone areas; or tax reliefs/subsidies for storm-resistant renovations, such as reinforced roofs.

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4️⃣ 𝗡𝗼𝘁 𝗮𝗹𝗹 𝗰𝗼𝘂𝗻𝘁𝗿𝗶𝗲𝘀 𝗯𝗲𝗻𝗲𝗳𝗶𝘁 𝗲𝗾𝘂𝗮𝗹𝗹𝘆 The capacity of a diaspora to provide support varies. For example, the diasporas of Guatamela and Honduras primarily lives in the US, meaning they could send more money home after the 2020 hurricanes than Nicaragua (chiefly based in lower-income Costa Rica).

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3️⃣ 𝗧𝗿𝗮𝗻𝘀𝗳𝗲𝗿 𝗰𝗵𝗮𝗻𝗻𝗲𝗹𝘀 𝗺𝗮𝘁𝘁𝗲𝗿 The speed and effectiveness of remittances also depend on how easily and cheaply money can be sent. Making transfers faster, cheaper and more accessible can therefore strengthen their role in disaster response.

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2️⃣ 𝗕𝘂𝘁 𝗼𝘃𝗲𝗿𝗿𝗲𝗹𝗶𝗮𝗻𝗰𝗲 𝗰𝗿𝗲𝗮𝘁𝗲𝘀 𝗿𝗶𝘀𝗸𝘀 Not everyone has relatives abroad, so remittances can increase inequality. They also can't be targeted as precisely as public aid. An economy overly reliant on remittances may also create incentives to emigrate, potentially contributing to a loss of skilled workers.

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𝗞𝗘𝗬 𝗜𝗡𝗦𝗜𝗚𝗛𝗧𝗦 1️⃣ 𝗥𝗲𝗺𝗶𝘁𝘁𝗮𝗻𝗰𝗲𝘀 𝗵𝗲𝗹𝗽 𝘀𝘁𝗿𝗲𝗻𝗴𝘁𝗵𝗲𝗻 𝗿𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝗰𝗲 “They help communities to better cope with disasters, and aid preparedness and adaptation,” says Andrea. Households that regularly receive remittances tend to invest more in prevention, insurance, and storm-resistant construction.

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To give you a sense of the scale: between 2010 and 2024, global disaster-related remittances totaled more than USD 500 billion – more than USD 200 billion above the volume of official development assistance (ODA).

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𝗪𝗵𝗲𝗻 𝗱𝗶𝘀𝗮𝘀𝘁𝗲𝗿 𝘀𝘁𝗿𝗶𝗸𝗲𝘀, 𝗺𝗼𝗻𝗲𝘆 𝘁𝗿𝗮𝗻𝘀𝗳𝗲𝗿𝘀 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗱𝗶𝗮𝘀𝗽𝗼𝗿𝗮 𝗮𝗿𝗲 𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝗿𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝗰𝗲. In international #climate policy, however, they are still little considered. That is why CSH's Andrea Vismara and @rafaelprietocuriel.bsky.social took a closer look as part of the 2026 #WorldRiskReport 🧪🧵

CSH PhD candidate Andrea Vismara, left, and faculty member Rafael Prieto-Curiel sit next to each other for the photo in fron of a wall in teh garden of the Complexity Science Hub.

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Complexity Science Hub @csh.ac.at · 24/09/2026

𝗪𝗮𝗻𝘁 𝘁𝗼 𝗷𝗼𝗶𝗻 𝘂𝘀 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 #𝗣𝗵𝗗 𝗮𝗻𝗱 𝗱𝗶𝘃𝗲 𝗶𝗻𝘁𝗼 #𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 𝗦𝗰𝗶𝗲𝗻𝗰𝗲? Applications for the 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 𝗶𝗻 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 at the Complexity Science Hub are open until 15 October 2026. #AcademicSky 📅 Apply by 15 October 2026 👉 More info: csh.ac.at/education/gr...

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𝗖𝗢𝗡𝗚𝗥𝗔𝗧𝗨𝗟𝗔𝗧𝗜𝗢𝗡𝗦 to Ola Megahed Ali, who successfully defended her #PhD this week! At CSH and @tuwien.at, she worked across disciplines to better understand human migration, building models of movement and integration. Ola, we hope you'll stay connected to CSH in whatever form the future brings!

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𝗘𝗿𝗶𝗰 𝗦𝗰𝗵𝗻𝗲𝗹𝗹 is the newest addition to our #postdoc squad. Eric joined the 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝘃𝗲 𝗠𝗶𝗻𝗱𝘀 group, led by Mirta Galesic and Henrik Olsson, to study how groups reach collective decisions when individuals have competing interests. #psychology Welcome, Eric! More about Eric: csh.ac.at/eric-schnell/

Portrait of Eric Schnell, postdoc at the Complexity Science Hub, under the text-in-image "Welcome, Eric Schnell!"

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Great to have you all at CSH! Want to join us as Postdoc? Check out our CSH Postdoc Program: csh.ac.at/education/po...

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• 𝗛𝗶𝗹𝗹𝗮𝗿𝘆 𝗩𝗶𝗽𝗼𝗻𝗱 examines the impact of technological change on the labor market from a long-term perspective; aaaand: • 𝗬𝗶𝗳𝗲𝗶 𝗪𝗮𝗻𝗴 studies how technological advancements affect labor markets and regional economies

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• 𝗣𝗲𝘁𝗲𝗿 𝗦𝘁𝗲𝗶𝗴𝗹𝗲𝗰𝗵𝗻𝗲𝗿 uses empirical data to explore variations in belief systems • 𝗥𝗮𝘆𝗮𝗻 𝗦𝘂𝗰𝗰𝗮𝗿 develops data science tools for inferring the structure of complex systems

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• 𝗔𝗻𝗮 𝗠𝗮𝗿𝗶𝗮 𝗣𝗲𝗿𝗲𝘇 explores how climate change affects health and helps prioritize zoonoses in Austria • 𝗘𝗿𝗶𝗰 𝗦𝗰𝗵𝗻𝗲𝗹𝗹 studies how groups make collective decisions when individuals have competing interests • 𝗧𝗶𝗻𝗮 Š𝗳𝗶𝗹𝗶𝗴𝗼𝗷 researches the intersection of complex networks and public transport systems

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• 𝗝𝗮𝗻 𝗞𝗼𝗿𝗯𝗲𝗹 uses methods from physics to study social dynamics and complex systems • 𝗞𝗮𝘁𝗵𝗮𝗿𝗶𝗻𝗮 𝗟𝗲𝗱𝗲𝗯𝘂𝗿 explores the impact of environmental and contextual factors on health • 𝗚𝘂𝗶𝗹𝗹𝗮𝘂𝗺𝗲 𝗠𝗼𝗶𝗻𝗮𝗿𝗱 studies distributed governance within a decentralized economy

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• 𝗟𝗲𝗼𝗻𝗮𝗿𝗱𝗼 𝗡𝗶𝗰𝗰𝗼𝗹ò 𝗜𝗮𝗹𝗼𝗻𝗴𝗼 applies network models to the study of macroeconomic phenomena • 𝗦𝘁𝗲𝗳𝗮𝗻 𝗞𝗶𝘁𝘇𝗹𝗲𝗿 focuses on data analysis of crypto assets • 𝗗á𝗻𝗶𝗲𝗹 𝗞𝗼𝗻𝗱𝗼𝗿 focuses on large-scale, agent-based models of interactions among historical societies

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• 𝗫𝗶𝗮𝗻𝗴𝗻𝗮𝗻 𝗙𝗲𝗻𝗴 studies networks, technology and the changing world of work • 𝗚𝗲𝗼𝗿𝗴 𝗛𝗲𝗶𝗹𝗲𝗿 works on large-scale data, machine learning, and tools for analyzing complex data • 𝗣𝗵𝗶𝗹𝗶𝗽𝗽 𝗛𝗶𝗹𝗺𝗯𝗮𝘂𝗲𝗿-𝗛𝗼𝗳𝗺𝗮𝗿𝗰𝗵𝗲𝗿 studies how cities shape professional networks, workplace segregation, and labor market outcomes

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• 𝗠𝗶𝗿𝘂𝗻𝗮 𝗖𝗼𝘁𝗲𝘁 explores how groups adapt their behavior • 𝗧𝗲𝗼𝗱𝗼𝗿𝗼 𝗖𝗿𝗶𝘀𝗰𝗶𝗼𝗻𝗲 works on supply chain analysis, supply chain security, and related social innovations • 𝗟é𝗼 𝗗𝗲𝗹𝗮𝗹𝗮𝗻𝗱𝗿𝗲 examines historical developments in gender inequality • 𝗘𝗹𝗺𝗮 𝗛𝗼𝘁 𝗗𝗲𝗿𝘃𝗶𝗰 uses medical data to unravel disease trajectories

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𝗪𝗲 𝗮𝗽𝗽𝗿𝗲𝗰𝗶𝗮𝘁𝗲 𝗼𝘂𝗿 𝗳𝗮𝗻𝘁𝗮𝘀𝘁𝗶𝗰 𝗽𝗼𝘀𝘁𝗱𝗼𝗰𝘀 𝗲𝘃𝗲𝗿𝘆 𝘀𝗶𝗻𝗴𝗹𝗲 𝗱𝗮𝘆! But during #PostDocAppreciationWeek we take a pause to say a proper 𝗧𝗛𝗔𝗡𝗞 𝗬𝗢𝗨! To give you a glimpse of the brilliant people behind the research, meet the #postdocs in the thread! 👇🧵 All people at CSH: csh.ac.at/people/

The book has 3️⃣ parts: tools for studying how new ideas emerge, models of how innovations develop and compete, and empirical case studies of how novelty spreads. In case you're in Rome right now: The authors present it tomorrow as part of Rome Future Week: shorturl.at/tsCKM

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How does novelty emerge? Are there patterns? Can we measure it? 📖 In their new book "𝗧𝗵𝗲 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗡𝗲𝘄", CSH's 𝗩𝗶𝘁𝗼 𝗗. 𝗣. 𝗦𝗲𝗿𝘃𝗲𝗱𝗶𝗼 as well as Vittorio Loreto and Francesca Tria propose a unified quantitative framework for the dynamics of novelty and innovation. #complexity 👉 shorturl.at/cEI5e

Vito Servedio smiles while holding a copy of his book 'The Science of the New' by Vittorio Loreto, Vito D.P. Servedio, and Francesca Tria, standing in the courtyard of the Complexity Science Hub.

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Thanks to Ljubica, science journalist 𝗔𝗮𝘀𝗵𝗶𝗺𝗮 𝗗𝗼𝗴𝗿𝗮-𝗙𝗿𝗲𝗶𝘁𝗮𝗴 for moderating the event, and everyone who joined! 𝗪𝗮𝗻𝘁 𝘁𝗼 𝗷𝗼𝗶𝗻 𝗻𝗲𝘅𝘁 𝘁𝗶𝗺𝗲? Stay tuned for updates, the next edition of the 𝗪𝗘𝗱𝗻𝗲𝘀𝗱𝗮𝘆 𝗦𝗔𝗟𝗢𝗡 will follow 𝘃𝗲𝗿𝘆 𝘀𝗼𝗼𝗻!

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Ljubica ended with 𝟯 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 policymakers should think about: • How will the EU compete to capture AI-led growth? • If labor's contribution to production falls significantly, should taxation shift away from labor? • Can people in declining occupations make the transition to growing ones?

𝗛𝗶𝘀𝘁𝗼𝗿𝗶𝗰𝗮𝗹𝗹𝘆, 𝗻𝗲𝘄 𝗷𝗼𝗯𝘀 𝗵𝗮𝘃𝗲 𝗮𝗹𝘄𝗮𝘆𝘀 𝗲𝗺𝗲𝗿𝗴𝗲𝗱. But where do they emerge, both geographically and in terms of skills? This is also what we need to ask today.

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