How does heat affect family violence?

Climate change is bringing rising temperatures and more frequent extreme heatwaves, with consequences at many levels. Over the next three years, Antonio Piolanti, a postdoctoral researcher at the University of Klagenfurt’s Department of Health Psychology, will explore how extreme ambient temperatures may contribute to violence against women in intimate relationships and to child maltreatment. He has secured an MSCA Global Postdoctoral Fellowship from the European Commission (Horizon Europe) as well as an Erwin Schrödinger Fellowship from the Austrian Science Fund FWF to support this research.

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Artificial Intelligence in Software Development: “AI Is Swimming in Its Own Soup.”

Although artificial intelligence can handle straightforward tasks in software development, we particularly need well-trained junior developers right now, argues Martin Pinzger, Professor of Software Engineering at the University of Klagenfurt. In this interview, he explains why large language models stagnate without fresh human input – and how they can nevertheless add real value to software development.

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“We seek to aggregate the behaviour of individuals in order to predict the behaviour of organisations or networks.”

With the publication of “The Oxford Handbook of Agent-Based Computational Management Science” in February 2026, Friederike Wall, Shu-Heng Chen, and Stephan Leitner present the first comprehensive handbook on agent-based modelling in management science. In this interview, Wall and Leitner explain how they model individual behaviour through agents and how this approach enables them to explain and anticipate the behaviour of entire systems.

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Data-driven fleet planning: How many vehicles does a company need to deploy?

How many delivery vehicles does a company really need, and which vehicle configurations make sense throughout the year? This question poses major challenges for corporate logistics departments. Christian Truden (University of Klagenfurt) and Mike Hewitt (Loyola University Chicago) have now developed a new data-driven approach that shows how vehicle fleets can be planned efficiently even under strongly fluctuating demand and pronounced seasonality.

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