Besøger en ekstern, akademisk institution: University of Zurich (Ekstern Organisation)

The academic literature on blockchain and DLT systems is overflowing with use cases and Proof of Concept (PoC) implementations. However, the purpose is to look beyond. We must gather network insights to enable a more straightforward and better risk-averse transition toward production and build solid network risk tolerance. Collecting data enables us to examine and better understand the decision-making process and risk assessment on blockchain/DLT systems. The research topic is risk management in networks, and we are investigating and exploring behavior and visualizations in networks and applying risk identification and analytics.