How countries can benefit from linking data

A recent study makes it clear: Countries like Sweden that can link data from different areas - such as the labor market and health care - have a decisive advantage when it comes to setting targeted actions.
A new and better way to create word lists

Word lists are the basis of so much research in so many fields. Researchers at the Complexity Science Hub have now developed an algorithm that can be applied to different languages and can expand word lists significantly better than others.
Complexity Science Hub takes the lead in supply chain research

Securing supply chains, knowing strategic dependencies and proactively shaping sustainable, as well as efficient production networks - with these goals, the Supply Chain Intelligence Institute Austria (ASCII) aims to put the Central European country in a leading role wor...
Peter Klimek: "We need to better understand production and value networks"

Global knowledge loopholes about supply networks have emerged since the pandemic. The Supply Chain Intelligence Institute Austria (ASCII) should now be able to close these gaps. In an interview, ASCII director and complexity researcher Peter Klimek discusses the origins ...
How to predict city traffic

A new machine learning model can predict traffic activity in different zones of cities. To do so, a Complexity Science Hub researcher used data from a main car-sharing company in Italy as a proxy for overall city traffic. Understanding how different urban zones interact ...
Measuring 6,000 African cities: double the population means triple the energy costs

Using a new dataset, Rafael Prieto-Curiel of the Complexity Science Hub and colleagues analyzed the coordinates and surface of 183 million buildings in nearly 6,000 African cities. With their model, they quantify the shape of cities. Thus, they show that if a city's popu...
Berlin could produce more than 80% of its fresh vegetables locally

A comprehensive study of the city's potential to supply fresh vegetables is conducted for the first time
PREDICTING HUMAN GROUP SIZES WITH PHYSICS

Only by knowing the average number of friends each person has, scientists at Complexity Science Hub Vienna (CSH) were able to predict the group sizes of people in a computer game. For this purpose, they modelled the formation of social groups on an example from physics, ...
Diabetes mellitus: Women are at higher risk of venous thromboembolism than men

A research team from the Complexity Science Hub and MedUni Vienna analyzed 180,034 patients with diabetes mellitus and found evidence that women are at higher risk of venous thromboembolism than men - particularly during perimenopause. In total, massive amounts of data f...
A new approach to measuring and understanding polarization

Model created by Samuel Martín-Gutiérrez and colleagues captures social division in multiparty democracies. The US could also benefit from it.
How countries can benefit from linking data

A recent study makes it clear: Countries like Sweden that can link data from different areas - such as the labor market and health care - have a decisive advantage when it comes to setting targeted actions.
A new and better way to create word lists

Word lists are the basis of so much research in so many fields. Researchers at the Complexity Science Hub have now developed an algorithm that can be applied to different languages and can expand word lists significantly better than others.
Complexity Science Hub takes the lead in supply chain research

Securing supply chains, knowing strategic dependencies and proactively shaping sustainable, as well as efficient production networks - with these goals, the Supply Chain Intelligence Institute Austria (ASCII) aims to put the Central European country in a leading role wor...
Peter Klimek: "We need to better understand production and value networks"

Global knowledge loopholes about supply networks have emerged since the pandemic. The Supply Chain Intelligence Institute Austria (ASCII) should now be able to close these gaps. In an interview, ASCII director and complexity researcher Peter Klimek discusses the origins ...
How to predict city traffic

A new machine learning model can predict traffic activity in different zones of cities. To do so, a Complexity Science Hub researcher used data from a main car-sharing company in Italy as a proxy for overall city traffic. Understanding how different urban zones interact ...
Measuring 6,000 African cities: double the population means triple the energy costs

Using a new dataset, Rafael Prieto-Curiel of the Complexity Science Hub and colleagues analyzed the coordinates and surface of 183 million buildings in nearly 6,000 African cities. With their model, they quantify the shape of cities. Thus, they show that if a city's popu...
Berlin could produce more than 80% of its fresh vegetables locally

A comprehensive study of the city's potential to supply fresh vegetables is conducted for the first time
PREDICTING HUMAN GROUP SIZES WITH PHYSICS

Only by knowing the average number of friends each person has, scientists at Complexity Science Hub Vienna (CSH) were able to predict the group sizes of people in a computer game. For this purpose, they modelled the formation of social groups on an example from physics, ...
Diabetes mellitus: Women are at higher risk of venous thromboembolism than men

A research team from the Complexity Science Hub and MedUni Vienna analyzed 180,034 patients with diabetes mellitus and found evidence that women are at higher risk of venous thromboembolism than men - particularly during perimenopause. In total, massive amounts of data f...
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