This page is for my Google Knowledge Panel.

Description

Daniel Reisinger finished his doctoral studies at the University of Graz, where he specialized in complexity science and computational modeling. His research on critical transitions, early warning signals, and complex contagions investigates how complex systems undergo tipping and helsp to predict ecosystem collapse and cascading failures in social networks.

Research Interests: Critical transitions, early warning signals, complex contagions, systems resilience, network topology, swarm intelligence

Research Networks: COLIBRI (Complexity of Life in Basic Research and Innovation), HFDT (Human Factor in Digital Transformation)

Education: Doctor of Philosophy, at the University of Graz

Artificial Life Lab

Members of my current research group at the Institute of Biology: Thomas Schmickl, Ronald Thenius, Gerald Radspieler, Martin Stefanec, Asya Ilgün, Wiktoria Rajewicz, Johannes Diebold, Daniel Nicolas Hofstadler, Nikolaus Helmer, Valerin Stokanic, Ifeoma Grassl, Benjamin Hirschbok, Nicole Koller, Doris Kollegger

Complex Systems Science

Members of my previous research group at the Institute of Environmental Systems Sciences: Manfred Füllsack, Georg Jäger, Raven Adam, Fabian Tschofenig, Marie Kogler, Fabian Veider, Ella Breitfuß, Simon Plakolb