Bettina Berendt is affiliated with KU Leuven in Belgium. Their research primarily lies at the intersection of computer science and social sciences, with a focus on artificial intelligence and its societal implications. The main fields of study for Bettina include Computer Science and Social Sciences, with subfields emphasizing Artificial Intelligence, Safety Research, Sociology and Political Science, Information Systems, and Communication.
The research topics frequently explored include Ethics and Social Impacts of AI, Topic Modeling, Natural Language Processing Techniques, Explainable Artificial Intelligence (XAI), Adversarial Robustness in Machine Learning, Artificial Intelligence in Healthcare and Education, and Social Media and Politics.
Bettina Berendt has contributed to several significant publications. Notable papers include:
The scientist often collaborates with other researchers. Frequent co-authors include Pieter Delobelle, Katharina Kinder-Kurlanda, Eirini Ntoutsi, Steffen Staab, and David Hartmann.
The publication venues where Bettina has appeared most often comprise arXiv (Cornell University), The International Review of Information Ethics, Lirias (KU Leuven), Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, and Learning Media and Technology.
Eirini Ntoutsi;Pavlos Fafalios;Ujwal Gadiraju;Vasileios Iosifidis
Sarah Spiekermann;Jens Grossklags;Bettina Berendt
Bettina Berendt;Oliver Günther;Sarah Spiekermann
Myra Spiliopoulou;Bamshad Mobasher;Bettina Berendt;Miki Nakagawa
Bettina Berendt;Andreas Hotho;Gerd Stumme
Bettina Berendt;Myra Spiliopoulou
Gerd Stumme;Andreas Hotho;Bettina Berendt
Bettina Berendt;Bamshad Mobasher;Miki Nakagawa;Myra Spiliopoulou
Bettina Berendt;Allison Littlejohn;Mike Blakemore
Sarah Spiekermann;Bettina Berendt;Jens Grossklags
Bettina Berendt;Bamshad Mobasher;Miki Nakagawa;Myra Spiliopoulou
Pieter Delobelle;Thomas Winters;Bettina Berendt
Sören Preibusch;Bettina Hoser;Seda Gürses;Bettina Berendt
Bettina Berendt;Thomas Barkowsky;Christian Freksa;Stephanie Kelter
Daniel Oberle;Bettina Berendt;Andreas Hotho;Jorge Gonzalez
Bettina Berendt
Petra Jansen-Osmann;Bettina Berendt
B. Berendt;A. Hotho;D. Mladenic;M.W. van Someren
Bettina Berendt;Andreas Hotho;Dunja Mladenic;Maarten van Someren
Ilija Subašić;Bettina Berendt
Bettina Berendt
Bettina Berendt;Sören Preibusch
Bettina Berendt;Anett Kralisch
Bettina Berendt;Andreas Hotho;Dunja Mladenic;Maarten Van Someren
If you think any of the details on this page are incorrect, let us know.
Exploring online Computer Science programs opens doors not only to coding but also to specialized areas that are in high demand. If you’re considering expanding your skill set, data science programs offer a pathway to roles in analytics, AI, and machine learning—fields known for impressive job growth and competitive salaries.
For those interested in the technical side of computing and innovation, the top online electrical engineering schools in the USA provide rigorous training and flexible learning options, enabling you to break into industries like robotics, telecommunications, and hardware design.
Looking for quicker entry points into a lucrative tech career? Consider certificate programs that pay well. These programs are designed to boost employability and salary potential without the long-term commitment of traditional degrees.
If you’re eager to upskill rapidly, you can also explore the quickest cheapest masters degree options in technology and related fields. These programs help professionals advance quickly without taking years off work or incurring excessive financial burden.
Curtin University
Murdoch University
University of Wisconsin–Madison
University of Manchester
Southern Illinois University School of Medicine
Stanford University
University of Zurich
Utrecht University
The University of Texas Southwestern Medical Center
Comprehensive Research Organization for Science and Society
Purdue University West Lafayette
University of Pavia
SLAC National Accelerator Laboratory
The Ohio State University
Brown University
Michigan State University