News archive for Center for Data Science
On 15 November, the University of Bergen will kickstart LEAD AI, a program for training future leaders in artificial intelligence. The event is meant to be a first get-to-know-each-other meeting for representatives from the participating UiB entities and partners.
Introduction of a Factor Augmented Sparse Throughput (FAST) model that utilizes both latent factors and sparse idiosyncratic components for nonparametric regression.
From August 7 - 11, 50+ data scientists from across Norway came together at the Joint CEDAS-NORBIS Summer School to discuss data science and its biomedical applications. The summer school featured keynotes, theoretical and practical sessions on Machine Learning, Statistics, and Visual Data Science.
CEDAS, the Center for Data Science at the University of Bergen, and NORBIS, the Norwegian Research School in Bioinformatics, Biostatistics, and Systems Biology, invite both starting and experienced data scientists to an exciting joint summer school on data science and its biomedical applications from 7-11 August 2023.
An exciting seminar about combining evolutionary optimization algorithms with experimental, atomistic resolution target data to create a semi-automated tool for building high-fidelity molecular dynamics models.
On August 29th and 30th, CEDAS had invited more than 40 PhD students, researchers, teachers, and others in the field of Data Science to a retreat at Solstrand Hotel & Bad to discuss currently relevant topics in CEDAS research and education of data science.
The Center for Data Science (CEDAS) is organizing a networking event, combining scientific sessions on foundational and applied data science with a teaching-related session, discussion groups, and social activities to further facilitate research collaboration among the center’s members (and beyond).
On 23 April 2022, The Faculty of Mathematics and Natural Sciences, in cooperation with several of the University of Bergen's partners, organized OPPLEV på Marineholmen, a knowledge festival aimed at both young and older participants, with or without a science background. The Center for Data Science (CEDAS), in cooperation with the Statistics and Data Science group, presented a «Probability Wheel... Read more
On 1 April 2022, the Statistics & Data Science group and the Center for Data Science (CEDAS) held a cross-faculty workshop on Cooperation Opportunities and Challenges in Data Science Education. The main aim of the workshop was to enhance the interaction between the departments and faculties involved in CEDAS, and start a discussion about how to improve UiB’s educational offer in data science.
The International Artificial Intelligence in Bergen Research School aims at disseminating recent advances on AI. It is mainly intended for master and Ph.D. students, postdocs, and researchers wishing to learn more about the theme of the research school. In 2022, the broad theme of the school is: Knowledge Graphs and Machine Learning.
This seminar will present some of the speakers' space-level AI research activities to assess storm-caused damage to infrastructure networks.
Setting up data science institutions poses rather fundamental questions: What kind of institutions are we building? Who are we serving? What are the politics? In this talk I would like take stock of the larger context: a world lacking futures, fragmented academic disciplines, and the dystopian use of technology.
The talk will be focusing mainly on spatio-temporal data such as molecular dynamics simulations which are unfavorably known to be hard to visualize. In addition, the speaker will touch upon other biochemical datasets where the “curse of dimensionality” poses the biggest visualization challenge.
The very first CEDAS-conference (Center for Data Science at the University of Bergen) was held the 1st and 2nd of June both virtually and physically in Bergen.
Does your work involve data science? Are you curious about research in data science in Bergen? The CEDAS conference 2021 will be a 2-day event featuring talks and discussion by leading international scientists and local experts on the interaction between data science, statistics, machine learning, and AI, as well as their applications in science and society.
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