nm - kirrane

Dr. Sabrina Kirrane is an assistant professor at the Institute for Information Systems and New Media. In addition, she is the Vice President of the Semantic Technology Institute International and the Founding Director of the Sustainable Computing Lab, She is also a member of the Vienna University of Economics and Business Research Institute for Cryptoeconomics. Dr. Kirrane was the Scientific/Technical Co-ordinator of the SPECIAL H2020 project from 2017 to 2019.

Sabrina's work has been published in a number of highly ranked international computer science journals (e.g., the Semantic Web Journal, and the IEEE Security & Privacy Journal) and conferences (e.g., the Extended Semantic Web Conference, the International Semantic Web Conference and the International Conference on Logic Programming).

Sabrina co-founded the Society, Privacy and the Semantic Web - Policy and Technology (PrivOn) workshop, which was co-located with the International Semantic Web Conference between 2013 and 2017. She is on the editorial board of the Journal of Web Semantics, and was a guest editor of the Semantic Web Journal’s special issue on “The Semantic Web and Linked Data: Security, Privacy and Policy”. Over the years, she has also been on the organising committee of the International Semantic Web Conference (ISWC), the Extended Semantic Web Conference (ESWC), and the International Conference on Semantic Systems (Semantics).

Her research primarily focuses on Security and Privacy aspects of the Semantic Web, Linked Data, Next Generation Internet (NGI), Big Data and Data Science, with a particular focus on policy representation and reasoning (e.g., access constraints, usage policies, regulatory obligations, societal norms, business processes), distributed data and decentralised applications, and trust and transparency mechanisms.

Publications

List of publications in WU PURE database

Projects

List of projects in WU PURE database

Thesis Topics

Dr. Kirrane supervises bachelor, master, and doctoral students on topics relating to data science, artificial intelligence, as well as data and algorithmic governance. Topics of interest include, but are not limited to, the following:

Explainable AI - especially model agnostic framework (e.g., LIME & SHAP)
Big data batch and streaming processing (e.g., Spark, Kafla, Flink)
Natural language processing (e.g., PyTorch, TensorFlow, Keras)
Bias in data science (e.g., cognitive, contextual, unconscious, statistical)
Decentralisation initiatives (e.g., Solid, Mastodon, Digi.me)
Voice assistants (e.g., Amazon Alexa, Google Assistant, Apple Siri, Microsoft Cortana, Samsung Bixby)
Next generation internet projects and initiatives (e.g., https://www.ngi.eu/ngi-projects/, https://protocol.ai/)
Artificial intelligence governance (e.g., https://2021.ai/ai-governance-kpi/, https://digital-strategy.ec.europa.eu/en/policies/european-approach-artificial-intelligence)