DENKFRÜHSTÜCK AM 12. JUNI

© Dado Ljaljevic

INPUT

Elma Dervić

Networks are everywhere. They represent systems of interconnected entities, from social media and internet infrastructure to financial systems, supply chains, public transport, and healthcare. Network science helps us understand how these connections shape our world, influencing everything from social interactions to global trade. Analyzing polarization – Understanding why societies become more divided and how to mitigate divisions. Social influence – Identifying key nodes (influencers & opinion leaders) that drive trends, misinformation, or social change. Predicting social tipping points – Detecting when small shifts lead to significant societal changes. We can predict crises, design data-driven policies, and create a more connected, sustainable world by applying network insights.

Elma Dervić is a postdoctoral fellow at the Complexity Science Hub and the Medical University of Vienna. She is a Masters of Science (MSc) in Electrical Engineering, a passionate traveler, book lover, and coffeeholic. She is known as a 3-time “share positive impact” TEDx speaker. Elma’s research interests include machine learning, network science, and everything impactful related to data science. Currently, she is working with medical data on unraveling disease trajectories. Furthermore, she is working on trading data to analyze systemic risk in supply chains.