A new approach to measuring and understanding polarization

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.

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.

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...

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 ...

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...

A comprehensive study of the city's potential to supply fresh vegetables is conducted for the first time

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, ...

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...