Welcome to your calendar for data science events! Dive into a curated list of courses, conferences, seminars, workshops, and key deadlines. Tailor your search to match your interests by adjusting the event category filters. For those specifically looking for PhD courses, simply modify the filter settings to include these events as well. Stay connected and up-to-date with the latest in data science, all in one place.
ARCO (Algorithmic Research: Cooperation around Oresound) was established 2011 as a network for exchange of research within algorithms and to promote the general interest in this research area within the Oresund Region. The idea is to meet once or twice per year for a one-day workshop. On April 12th 2024, at the Royal Danish Academy […]
Kan du lide at løse problemer sammen med andre, og kan du programmere (en smule)? D-Pop er et landsdækkende arrangement i holdbaseret problemløsning og programmering. Vi har lavet en masse sjove programmeringsopgaver, som I kan gå ombord i, og vi hjælper jer også gerne undervejs, hvis der skulle blive brug for det. Kom alene, snup […]
The goal of the workshop is to promote and advance the combination and integration of visualization and analytics methods for the purpose of problem solving in a variety of application domains including engineering, business, public policy, medicine, security, etc.
MAPSP is a biennial workshop dedicated to building a community of researchers interested in theoretical and practical aspects of scheduling, planning, and timetabling. The 16th Workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP 2024) will be organized at Hotel Koldingfjord, Kolding, Denmark. The impressive 1911 building of Hotel Koldingfjord is located right […]
A three-day workshop that brings together Danish and international researchers applying machine learning techniques to physics domains, including particle physics, astrophysics and cosmology, climate science, geophysics, molecular physics, quantum physics, condensed matter and biophysics. The program includes keynote speakers from ETH Zurich, Columbia University and DeepMind, fireside chats, research speed-dating, student lightning talks, and a […]
Machine learning has shown promising results in medical image diagnosis, at times with claims of expert-level performance. However, algorithms with high reported performances do not always generalize to real-life settings, leading to incorrect and/or biased diagnoses. Two key datasets-related issues contribute to this challenge: (i) the presence of shortcuts, i.e. spurious correlations between artifacts in […]