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.
The PhD Meetups invite you to shape and take part in a data science PhD community to share common challenges, create meaningful connections and foster collaboration and knowledge sharing across data science fields. The meetups will gather up to 60 PhD students from different fields and across Denmark to form new relationships, be engaged by […]
DDSA is thrilled to announce the dates of D3A – Danish Digitization, Data Science and AI 2024 – hosted by Danish Data Science Academy, Pioneer Centre for AI, and Digital Research Centre Denmark! On February 1 and 2, 2024, we are bringing together visionary researchers and leading professionals at Hotel Nyborg Strand to grow the […]
The event will revolve around the upcoming generation of devices for Spatial Computing, how they can collect data about consumers in new ways we as consumers haven't been accustomed to before, how we can process data with AI, and the potential purposes for which data can be used. The program consists of presentations from each […]
Applied AI Lunch Talks are a series of free talks where people from industry, academia, and the startup world get together to learn more about the business cases, technical challenges, ethical aspects relevant for specific applied AI use cases. On March 14th 12:00-13:00 you can attend the following two talks - either online or at […]
The general theme of the meeting is “Causal Inference in Health, Economic and Social Sciences”. Causal inference is broadly defined, and the focus is on statistical methodology and challenging applications that highlight necessary methodological extensions. Tuesday, April 16, is reserved for half-day and full-day courses. The main conference is Wednesday, April 17 to Friday, April […]
The Department of Mathematical Sciences invites students, faculty, and the general public to join us for the “Data Science to Combat Global Heating” event commemorating Earth Day 2024. The event consists of a day of learning and exploring how Mathematics and Data Science can contribute to Climate Change Research, help us understand and predict our […]
Every year on May 12, mathematicians across the world celebrate the International Women in Math Day. To mark this date and showcase the excellent work done in all areas of theoretical and applied mathematics, Department of Mathematical Sciences at KU and DTU Compute will hold an international conference celebrating women in mathematical sciences from May […]
Enabling digital twins through modeling, data, and learning — a few examples by Jan S. Hesthaven Provost, Professor of Mathematics Ecole Polytechnique Fédérale de Lausanne The seminar series is open to everyone. More information: https://dtumods.github.io/ Date: May 17, 2024 Time: 12:00–12:55 Location: Building 303A aud. 42, DTU Lyngby Campus (Google Maps: https://www.google.com/maps/place/DTU+Building+303/@55.7851139,12.5190574,17z/data=!4m5!3m4!1s0x0:0x79802939c5deff09!8m2!3d55.7852953!4d12.5197333?coh=164777&entry=tt&shorturl=1) The seminar will […]
EuroVis 2024 will be held physically in Odense, Denmark. This 26th edition of EuroVis will be hosted by the The University of Southern Denmark. The exciting and vibrant field of Visualization is an increasingly important research area due to its wide range of applications in many disciplines. In general, our ability to collect, store, and […]
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.
The ProbAI is here to provide an inclusive educational environment that serves state-of-the-art machine learning and artificial intelligence expertise with a probabilistic twist. With a carefully designed curriculum and a seamless blend of theory and hands-on sessions, our expert team of invited lecturers will guide you through five intensive days each dedicated to a different […]
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 […]
Abstract: In this HIDA Lecture, Ute Brönner (SINTEF Ocean, Norway) talks about the enormous potential of digital twins in ocean research. The National Academy of Sciences, Engineering, and Medicine defines a digital twin as a virtual construct that mimics the structure, context, and behaviour of a natural, technical, or social system and is dynamically updated […]
This is a 2.5 ECTS PhD-course in advanced machine learning under the topic of "Physics meets Machine Learning". The course consists of five days (Monday-Friday, 9 AM - 4 PM) of lectures and exercises. The lectures will cover theoretical and practical aspects of prominent intersections between Physics and Machine Learning. Technical aspects, programming and application […]
The Danish Bioinformatics Conference, under the umbrella of ELIXIR Denmark, aims to be a dynamic forum for the bioinformatics community, including data scientists, statisticians, software developers, and wet lab scientists. This conference has been an excellent platform to exchange about the latest research and tools development in Danish bioinformatics. Participants have the chance to learn, […]
This course is supported by Danish Data Science Academy (DDSA) Registration: https://phd.moodle.aau.dk/course/view.php?id=2422 Lecturer(s): Associate Professor Roman Jurowetzki (Aalborg University Business School) Associate Professor Rolf Lyneborg Lund (Department of Sociology and Social Work, Aalborg University) Assistant Professor Mathieu Jacomy (Department of Culture and Learning, Aalborg University) Numbers of seats: 21 - We will contact you after […]
Aim and contentThis is a generic course. This means that the course is reserved for PhD students at the Graduate School of Health and Medical Sciences at UCPH. Anyone can apply for the course, but if you are not a PhD student at the Graduate School, you will be placed on the waiting list until […]
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 […]
DDSA is thrilled to announce the dates of D3A – Danish Digitization, Data Science and AI 2.0 – hosted by Danish Data Science Academy, Pioneer Centre for AI, and Digital Research Centre Denmark! On October 22-23, 2024, we are bringing together visionary researchers and leading professionals at Hotel Nyborg Strand to grow the Danish digitalization, […]
"This must be the place" to hear about the latest and greatest in the expanding field of health data science. The mission of the Center for Health Data Science is to not only strengthen health data science within the Faculty of Health and Medical Sciences (SUND) at the University of Copenhagen, but to serve as […]
This talk will outline the challenges of developing efficient models with limited data and resources. It will explore strategies to maximise data and model efficiency, emphasising the importance of managing large models that typically require significant computational resources and are predominantly trained on English data. It will also discuss techniques like pre-filtering, online methods, data […]
