Alexandra Bruncrona conducts research on narratives, specialising in Natural Language Processing (NLP) for interdisciplinary research. In her work, Alexandra applies critical futures studies methods to study energy transitions. Alexandra’s research interests cover a wide range of topics, investigating the power of language use now, in the past, and in the future.

Currently, Alexandra works as a research associate at the Professorship for Algorithmic Governance and Public Policy at the Munich School of Politics and Public Policy at TUM.

Before pursuing a doctorate degree, Alexandra worked as a policy and market expert in the renewable energy field. Alexandra has a BSc (Tech.) in Environmental and Energy Engineering and an MSc (Tech.) in Advanced Energy Solutions from Aalto University, Finland, as well as a BA in Linguistics – minoring in History and Digital Humanities – from the University of Helsinki, Finland, and a PGCert in Narrative Futures from the University of Edinburgh, United Kingdom.

Vaibhav Agarwal is interested in how algorithmic governance and digitalisation shape public trust, with a particular focus on the heuristics people use when making decisions. His research also explores methods and data suited to uncovering these patterns, especially conjoint experiments. Beyond this, Vaibhav experiments with multimodal approaches that bring together text, audio, image, and video. He presents his research in accessible and creative formats, ranging from presentations and articles to videos and posters. 

He grew up in Bangalore, a city in Southern India, where he pursued his Bachelor of Arts in Economics with a minor in Data, Democracy, and Development from Azim Premji University. For his master’s he travelled to Helsinki to study Social Data Science and graduated with a Master’s in Social Sciences from the University of Helsinki. At present, He is starting his PhD at the Munich School of Politics and Public Policy at the Technical University of Munich, in Germany.