Ergebnisse der DialogKonferenz

Wir danken auf diesem Wege nochmals allen Teilnehmenden der DialogKonferenz auf der Sommerakademie der Führungsakademie Baden-Württemberg für Ihre Beiträge und der Führungsakademie für die Ermöglichung. Anbei ein Einblick in die Ergebnisse zur Aufgabenstellung: „Welchen Fragen sollten wir uns stellen? Für eine Digitalisierung, die das demokratische Gemeinwesen stärkt.“

Katrin Steglich

The eukaryotic cell emerged as an evolutionary algorithmic phase transition
Eukaryogenesis happened abruptly, led by the tension of increasing gene length and the constraints on producing longer proteins
Interest rate decision: ECB should send a strong signal to the economy
The European Central Bank (ECB) is expected to cut its deposit rate by 25 basis points to 2.25 percent today. Lena Dräger, an expert on monetary policy, and trade researcher Julian Hinz see the move as a further step toward monetary easing, but are calling for a stronger signal in view of the economic risks […]
New Study on Crises: How Some Companies Can Grow During Tough Times
Researchers at the University of Hamburg Business School, the University of Queensland, and Jönköping International Business School suggest that adverse economic circumstances during crises can actually significantly stimulate the growth of a select few companies, beyond what would be achievable under normal conditions. Their theory is featured in the journal "Academy of Management Review."
A pioneering spectrometer for hard X-rays at European XFEL
Researchers at the European XFEL have developed a new device for X-ray measurements at high photon energies–a so-called Laue spectrometer. It enables X-ray light with photon energies of over 15 kiloelectronvolts to be detected with improved efficiency and highest precision. This is important for researching technically significant materials that, for example, transport electricity without losses […]
(Almost) Like Us: Creativity in Artificial Intelligence
Computational neuroscientists have assessed how humans and large language models (LLMs) approach creativity. They identify similar creative strategies in both people and machines, with LLMs consistent adhering to their preferred approach in each task. The findings suggest that pairing humans with LLMs that complement their creative style could improve co-creation.

Katrin Steglich

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