Nava Tintarev

Assistant professor and Delft Technology Fellow at the Web Information Systems group of the Faculty of Engineering, Mathematics and Computer Science (EEMCS/EWI), Delft University of Technology.

She studies how to best present and adapt the presentation of complex data (using both natural language generation, and visualizations) in artificial advice giving systems.

Her fellowship project (ENSURE - ExplaiNing SeqUences in REcommendations) looks at ways of improving the transparency and decision support for recommender systems (like Amazon and Spotify), in recommendation scenarios that contain both surprising recommendations and trade-offs, while considering privacy concerns. She is also leading a smaller CEL project looking at issues relating to fake news in education and problem-based learning: SuSPECT: Scaffolding Student PErspectives for Critical Thinking. She is currently interested in contributing to projects and grant applications tackling issues regarding ethics in big data, algorithmic transparency, fake news, and filter bubbles.

Nava was previously an assistant professor at Bournemouth University (UK), a research fellow in Aberdeen (UK), and a research engineer for Telefonica research in Barcelona (Spain). Please see her personal website (http://navatintarev.com) for further information.

Nava Tintarev