Researchers found that disease transmission between farms persists despite movement restrictions, with cattle movement activities being the strongest predictor of farm infections. The study calls for a multifaceted approach to managing Salmonella Dublin, including closer monitoring and targeted interventions.
Researchers at the Complexity Science Hub analyzed friendships and listening habits to find social networks are a crucial predictor of song popularity. The study showed that individuals with strong influence and large friend circles accelerate a song's popularity, making social connections a key factor in music trends.
A recent study found that social networks with protected minority opinions foster innovation, economic prosperity, and collective intelligence. Decentralizing social networks by unfollowing influential individuals can promote sociodiversity.
A new mathematical model developed by researchers at the Complexity Science Hub shows how diaspora size affects migration flows. The study reveals that people migrate to smaller destinations if their diaspora is present, highlighting the importance of social influence in shaping migration patterns.
The Complexity Science Hub is launching a new PhD program in Austria, focusing on complexity research to address current challenges. The interdisciplinary program will provide students with expertise in data, network, and complexity science.
A study published in Research Policy found that job displacement leads to significant heterogeneity in earning losses, ranging from 4% to 16.5%, and is exacerbated by skill mismatch. Workers who switch jobs with reduced skill requirements experience the largest losses, while those upskilling are able to catch up within seven years.
Researchers analyzed firm-level data from the global supply network, revealing that wealthy nations are only exposed to supply chain disruptions from other high-income countries. Poor and developing nations are disproportionately affected by economic shocks due to their structural embeddedness in their local or national supply chains.
A new study by the Complexity Science Hub demonstrates how climate policies can be implemented with minimal economic damage. The researchers used a data set from Hungary to examine what would happen if certain companies were forced to cease production in various scenarios aimed at reducing greenhouse gas emissions by 20%.
Mirta Galesic has been awarded a €3 million ERC Advanced Grant to investigate collective adaptation. The project, hosted at the Complexity Science Hub, aims to understand how human groups navigate complex problem landscapes using computational models and empirical data.
A study published in PNAS Nexus found that granular supply chain data using VAT information can provide a more accurate estimate of economic impact in times of crises. This is particularly important for countries seeking to prepare better for armed conflicts, epidemics, or floods.
A new study published in Philosophical Transactions of the Royal Society A reveals that Supreme Court decisions are significantly shaped by interactions within the court. The researchers found that justices' decisions result from a complex process of negotiation and influence, rather than personal views or ideological leanings.
According to a new study, around 51% of global commutes are made by car, varying greatly across regions. In contrast, cities like Copenhagen, Paris, and Utrecht rely heavily on cycling and public transportation. The US also shows minimal variation in modal share across cities, with nearly 92% of commutes made by car.
Researchers at the Complexity Science Hub identified key points where disease trajectories diverge, providing clues for early and personalized prevention strategies. The study analyzed hospital stays in Austria between 2003 and 2014 and found correlations between different diseases among different age groups.
Researchers at the Complexity Science Hub have isolated and genotyped Leptospira bacteria from Austrian cattle, revealing a widespread and adaptable strain that poses a public health risk. The study's findings highlight the need for improved diagnostic tests and biosecurity measures to prevent infection on farms.
Researchers introduce a mathematical model that connects innovation and obsolescence to unify insights across economics, biology, and science. The model reveals three possible scenarios: an ever-expanding scenario, Schumpeterian dystopia, and creation and destruction.
Researchers have developed a new method to measure homophily in social networks, which can accurately capture biases within group interactions. The study found that traditional methods may produce misleading results, particularly in networks with unequal groups and asymmetric mixing.
A recent study by the Complexity Science Hub found that at least two-thirds of animal COVID-19 deaths were not reported to official sources. The researchers compiled a comprehensive list of 35 animal species susceptible to SARS-CoV-2, highlighting the need for improved data exchange and reporting.
The study analyzed over 1.2 million criminal incidents, revealing that specialists tend to operate within a confined geographic area and collaborate with local networks. The method can help law enforcement agencies anticipate criminal developments and tailor measures for prevention, policing, and rehabilitation.
A new analysis method can map individual company-level connections, revealing up to 13 billion supply connections worldwide. This data could reduce tax evasion (€130 billion) and improve climate and human rights compliance by creating a global supply network map.
A study by the Complexity Science Hub analyzed work discourse on Reddit between 2018 and 2021, finding that mental health concerns significantly contributed to the surge in quit rates. The study suggests that companies can improve working conditions by prioritizing employees' relational and self-fulfillment needs.
A new study by researchers at the Complexity Science Hub found that Mexican cartels have between 160,000 and 185,000 members, making them the fifth largest employer in the country. Disrupting cartel recruitment is the only way to lower violence in Mexico, according to the research.
A study from the Complexity Science Hub reveals that rare shops and services in urban locations can bring people of different socio-economic backgrounds together. Researchers found that neighborhoods offering a range of unique amenities, like zoos or cinemas, tend to attract more diverse audiences. This understanding can inform policy ...
Researchers analyzed over 150 past crises, revealing that not every ecological shock or climatic anomaly leads to collapse or severe crisis. Societies' cultural, political, and economic dynamics interact with environmental forces to shape their responses.
A new study by the Complexity Science Hub has pinpointed three main drivers of the Qing Dynasty's collapse: population explosion, elite competition, and financial burden. These factors culminated in a series of uprisings that led to the dynasty's downfall despite being wealthier than modern-day China.
Researchers at the Complexity Science Hub developed a mathematical method to analyze armed conflict data, identifying causal links between battles and predicting future conflicts. The approach, inspired by physics and biophysics, reveals how violence spreads like avalanches across Africa and can be applied to other armed conflicts.
Researchers at the Complexity Science Hub found a significant link between malnutrition during pregnancy and an increased risk of type 2 diabetes. The study analyzed data from over 3.5 million people in Austria and found that men born during severe famine periods had a 78% higher incidence rate of new diabetes cases.
The study creates a network that maps domestic trades between holdings in Austria, revealing the most significant risks of disease spread. The analysis highlights the importance of monitoring and prevention strategies in regions with high animal density and frequent transfers.
NetSci 2023 brings together top researchers in physics, computer science, biology, and social sciences to exchange ideas on network structures. Keynote speakers discuss the application of superconducting elements and the dynamic processes governing large networks.
Researchers argue that 'The Line' should not be a showcase for future cities due to its unfeasible urban design, including extremely high population density and limited mobility. The city's planned 60-minute average commute times highlight the importance of efficient transportation systems in urban planning.
Researchers at the Complexity Science Hub found that periodic outbreaks of warfare can account for boom-bust patterns in population dynamics of early farming societies. The study suggests that social conflict played a crucial role in shaping the population dynamics of these societies, contrary to previous assumptions that climate chang...
Researchers from Complexity Science Hub highlight similarities in models used by economists and physicists to analyze financial markets. The study aims to create an overview of these models, promoting interdisciplinary collaboration and avoiding research that gets lost in translation.
A recent study by the Complexity Science Hub reveals interdependencies in the global food supply chain, uncovering profound indirect effects of the Russia-Ukraine conflict on product availability worldwide. The study found that indirect effects often exceeded direct effects, with losses up to 85% in maize and 89% in edible oils.
Researchers in Austria found that one in three patients with Type 2 diabetes stopped treatment and monitoring for at least a year, resulting in higher mortality rates. This group had a significantly higher mortality rate compared to those who regularly accessed care.
A recent study published in Translational Psychiatry found that obesity significantly increases the likelihood of developing mental disorders, including depression and anxiety, across all age groups. Women were found to be at a higher risk for most diseases compared to men.
A new study by the Complexity Science Hub recommends aligning quotas with an inclusive culture to improve women's representation in science. The research finds that even extreme quotas are not sufficient to increase minorities' visibility in top ranks, highlighting the need for behavioral interventions and regulation to overcome biases.
A team of researchers from the Complexity Science Hub and Central European University created more-detailed poverty maps for Sierra Leone and Uganda, identifying poor areas with greater accuracy. The maps use a combination of survey information, satellite imagery, and social media data to provide a more accurate picture of wealth distr...
Scientists developed a new clustering method to analyze similarities between chess openings, revealing ten distinct clusters that group similar strategies. The new classification complements the existing ECO Code and provides insights into player skill and opening complexity.
Researchers developed a model to infer opinions from social networks and measure left-right political division. The model shed new light on how political beliefs are shaped, providing insights for policymakers and real-world debates.
A recent study analyzed data from 41,516 refugees and 207,729 Swedish-born individuals to investigate the impact of mental and somatic illnesses on labor market integration. The study found that multimorbidity poses a significant risk for unemployment among young refugees, highlighting the need for targeted public health actions.
Researchers at the Complexity Science Hub have developed an algorithm that can be applied to different languages and expand word lists significantly better than others. The new method, called LEXpander, outperforms previous algorithms in German and English, especially in sentiment analysis tasks.
A new machine learning model can predict city traffic activity in different zones of cities, enabling targeted responses from policymakers. Understanding people's mobility patterns is crucial for improving urban traffic flow, and the model provides insights into urban interactions.
Researchers analyzed 183 million buildings in 6,000 African cities and found that a city's shape affects its energy demand. Double the population means triple the energy costs due to increased commuting distances and pollution.
Researchers at Complexity Science Hub developed a model using physics principles to predict group sizes in humans. By analyzing social stress and homophily, they found that group sizes can be predicted with relatively small information, revealing new insights into human behavior.
A comprehensive study found that up to 82 percent of Berlin's vegetable demand could be met locally if all available land was used for urban gardening. Investing in water and human resources would be crucial for this production, with a total investment cost of 753 million euros required.
A study published in Diabetes Research and Clinical Practice found that women with diabetes mellitus are at a higher risk of venous thromboembolism (VTE) than men, particularly during perimenopause. The risk is 1.52 times higher for women with DM compared to those without DM.
Researchers found no evidence of a critical mass needed to start and maintain new research fields. Instead, pioneering regions with early investment can establish dominance. However, late-comers face significant costs to catch up, as seen in China's semiconductor science, where strategic interventions over decades led to a dominant role.
Researchers from Complexity Science Hub and Medical University of Vienna found that high doses of cholesterol-lowering statins impair bone quality in mice, with a significant increase in osteoporosis risk. The study confirms previous findings on the correlation between statin use and osteoporosis diagnosis in humans.
A new algorithm unravels the structure of financial services on the Ethereum blockchain, revealing highly intertwined structures that involve risks not yet fully understood. The findings highlight the need for transparency and awareness among users, regulators, and policymakers to mitigate systemic risks associated with cryptoassets.
A study by physicists Fariba Karimi and her team has confirmed that women are underrepresented in physics, but found that the gender gap is largely due to a first-mover advantage enjoyed by men. The research suggests that women face higher entry barriers and structural inequalities, leading to differences in citation recognition.
An international team of scientists developed a computer simulation to predict the economic impact of the Covid-19 pandemic. The model accurately forecasted the UK's GDP contraction and tracked relevant economic variables on both individual industries and the entire economy.