Apart from a scientific semester programme CWI organizes mini-symposia, masterclasses, lectures with renowned speakers (like the Abel prize winners from 2022), hackathons and data challenges. Additionally, we organize and host other regular scientific meetings like reading groups, seminars, collaboration sessions and open-problem sessions. The format is flexible to meet the preferences of the participants.
Events 2018
Find future and past events.
Software Engineering Netherlands Symposium (SEN)
We cordially invite you to attend the fourth edition of our SEN Symposium
CWI Scientific Meeting 26 January 2018
Hannes Mühleisen (DA) , Reconciling process in statistical computation and data management. Benjamin Sanderse (SC), Uncertainty quantification for fluid dynamics applications.
Open Access: turning promises into reality
CWI organizes a meeting concerning Open Access aimed for a broad audience. Please register (free of costs) by sending an email to: Susanne.van.Dam@cwi.nl
SC Seminar Enrico Colizzi (SC)
Multilevel Evolution in the RNA world - In modern life, DNA stores genetic information and proteins perform most of the functions needed in a cell. This separation between information and function was not present before the origin of life.
Lecture Sandy Zabell: The paradox of German high-level cryptography in WWII
Everyone is welcome to attend this CWI Lecture of Sandy Zabell ( a joint ML-group/RISC colloquium)
ML & CR Lecture: Prof. Sandy Zabell: The paradox of German high-level cryptography in WWII
Everyone is welcome to attend the lecture of prof. Sandy Zabell
PhD defence Tom Florian Sterkenburg (ML)
Everybody is welcome to attend the public lecture of Tom Florian Sterkenburg of his thesis entitled 'Universal Prediction'.
LSH Seminar talk by Marleen Balvert
The genetic code can be considered as a recipe book for a living organism: it indirectly describes all the properties and functions of the organism such as its physical form and its metabolic processes. Over the past decades, reading the genetic code of an individual has become easier and cheaper. This yields large amounts of data on the DNA of viruses, bacteria, plants, humans, etcetera.
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