Prof. Dr. Mascha Kurpicz-Briki
Prof. Dr. Mascha Kurpicz-Briki Dozentin
School of Engineering and Computer Science
Applied Natural Language Processing
Fairness and Diversity in Natural Language Processing
Augmented Intelligence for Humanities and Health
- Dr. Mascha Kurpicz-Briki obtained her PhD in the area of energy-efficient cloud computing at the University of Neuchâtel, Switzerland. After her PhD, she worked a few years in industry, in the area of open-source engineering, cloud computing and analytics. She is now professor for data engineering and the deputy lead of the Applied Machine Intelligence Research Group at the Bern University of Applied Sciences in Switzerland, investigating how to apply digital methods and in particular natural language processing to social and community challenges.
- In particular, she is working on applied natural language processing (NLP) / machine learning for use cases having social or societal impact. This includes applications for healthcare, in particular in the field of AI for mental health, as well as research in the field of fairness in NLP, where she investigates how to measure and mitigate bias in word embeddings and language models. She is interested in human-centered NLP applications, following the principle of augmented intelligence - supporting humans instead of replacing them.
Dégallier Rochat, Sarah; Kurpicz-Briki, Mascha; Endrissat, Nada; Yatsenko, Olena (2022). Human augmentation, not replacement: A research agenda for AI and robotics in the industry Frontiers in Robotics and AI, 9, p. 270. Frontiers Research Foundation 10.3389/frobt.2022.997386 <http://dx.doi.org/10.3389/frobt.2022.997386>
Merhbene, Ghofrane; Nath, Sukanya; Puttick, Alexandre Riemann; Kurpicz-Briki, Mascha (2022). BurnoutEnsemble: Augmented Intelligence to Detect Indications for Burnout in Clinical Psychology Frontiers in Big Data, 5(2022) Frontiers 10.3389/fdata.2022.863100 <http://dx.doi.org/10.3389/fdata.2022.863100>
Haug, Sophie; Kurpicz-Briki, Mascha (2022). Burnout and Depression Detection Using Affective Word List Ratings Studies in health technology and informatics, 292, pp. 43-48. IOS Press 10.3233/SHTI220318 <http://dx.doi.org/10.3233/SHTI220318>
Bernet, Niklaus Stefan; Thomann, Silvia; Kurpicz-Briki, Mascha; Roos, Leonie; Everink, Irma H.J.; Schols, Jos M.G.A.; Hahn, Sabine (2022). Potential of Electronic Medical Record Data for National Quality Measurement In: Bürkle, Thomas; Denecke, Kerstin; Holm, Jürgen; Sariyar, Murat; Lehmann, Michael (eds.) Healthcare of the Future 2022. Studies in Health Technology and Informatics: Vol. 292 (pp. 51-56). IOS Press 10.3233/SHTI220320 <http://dx.doi.org/10.3233/SHTI220320>
Schmid, Alexander; Kurpicz-Briki, Mascha (20 May 2022). The Digital Transformation of Mental Health Care and Psychotherapy – A Market and Research Maturity Analysis In: Bürkle, Thomas; Denecke, Kerstin; Holm, Jürgen; Sariyar, Murat; Lehmann, Michael (eds.) Healthcare of the Future: Digital Health – From Vision to Best Practice! Studies in Health Technology and Informatics: Vol. 292 (pp. 63-68). Amsterdam, Netherlands: IOS Press 10.3233/SHTI220322 <http://dx.doi.org/10.3233/SHTI220322>
Kurpicz-Briki, Mascha; Leoni, Tomaso Aurelio Domenico (2021). A World Full of Stereotypes? Further Investigation on Origin and Gender Bias in Multi-Lingual Word Embeddings Frontiers in Big Data, 4(625290) Frontiers 10.3389/fdata.2021.625290 <http://dx.doi.org/10.3389/fdata.2021.625290>
Nath, Sukanya; Kurpicz-Briki, Mascha (November 2021). BurnoutWords - Detecting Burnout for a Clinical Setting CS & IT Conference Proceedings, 11(18), pp. 177-191. CS & IT Conference Proceedings 10.5121/csit.2021.111815 <http://dx.doi.org/10.5121/csit.2021.111815>
Glauser, Christoph; Schmid, Loris; Kurpicz-Briki, Mascha (September 2020). Identifying the Public Interest in COVID-19 Contact Tracing Apps in Switzerland Based on Online Search Behavior In: Proceedings of ICEGOV 2020. Athens Greece. 23-25.09.2020. 10.1145/3428502.3428517 <http://dx.doi.org/10.1145/3428502.3428517>
Kurpicz-Briki, Mascha (24 June 2020). Cultural Differences in Bias? Origin and Gender Bias in Pre-Trained German and French Word Embeddings In: 5th SwissText & 16th KONVENS Joint Conference 2020. Zürich. 23-25.06.2020.
Language skills and intercultural knowledge
- German - Native or bilingual proficiency
- English - Full professional proficiency
- French - Full professional proficiency