Data-Driven Collaborative Decision Making in Complex Industrial Systems

Diana Volkova

Research Associate

Diana Volkova is a professional working at the intersection of European energy systems, transparency, and infrastructure governance. She is currently associated with ENTSOG as Transparency Subject Manager and is also engaged in doctoral research in knowledge-driven decision making, combining practical sector insight with analytical research on complex energy transition challenges.

Since 1 February 2026, she has been serving as a PhD Researcher at the Data-Driven Industrial Systems group. Her research focuses on knowledge-driven explainable causal analysis of European energy policies and project implementation. In particular, she investigates how ontologies, knowledge graphs, and causal inference can be combined to evaluate the implementation of European gas and hydrogen infrastructure policies and projects in a transparent and interpretable way. Her work aims to support structured what-if analysis of alternative policy and project pathways, while also exploring reinforcement learning as an explainable, knowledge-constrained decision-support approach for forward-looking assessment under uncertainty. This research contributes to more robust and transparent decision-making for the European energy transition.