WE SEARCH FOR
In an increasingly volatile global landscape, the challenges facing modern industry, infrastructure, and society are no longer isolated; they are deeply interconnected nodes within a vast, dynamic system. Complexity science provides the essential lens to decode these interdependencies, moving beyond linear models to understand how shifts in global supply chains, the evolution of digital ecosystems, and the transformation of mobility directly impact environmental resilience and social cohesion. By analyzing these cross-sectoral links, our research aims to bridge the gap between technological innovation and systemic stability. We provide the data-driven foresight required to navigate cascading risks and design robust frameworks for a sustainable, inclusive, and sovereign future. Prospective researchers will work at this critical intersection, turning complex data into actionable insights for long-term societal resilience.
Priority research areas for the current call include:
Key technology sectors and innovation, supply chain intelligence, systemic risk analysis, applied AI, integrated transportation networks, sustainable mobility, sustainable cities, socio-ecological modeling and green resilience, impacts of climate change, social cohesion, and tools/methods for handling and analyzing large datasets.
Applicants with more foundational backgrounds should make clear how their work could be applied to questions or problems in one of the above-noted areas. The current call will not support foundational research that lacks a clearly articulated connection to real-world questions.
Priority research areas for the current call include:
Key technology sectors and innovation, supply chain intelligence, systemic risk analysis, applied AI, integrated transportation networks, sustainable mobility, sustainable cities, socio-ecological modeling and green resilience, impacts of climate change, social cohesion, and tools/methods for handling and analyzing large datasets.
Applicants with more foundational backgrounds should make clear how their work could be applied to questions or problems in one of the above-noted areas. The current call will not support foundational research that lacks a clearly articulated connection to real-world questions.