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.
Description: There is a long history of the application of statistical methods on collected data (for example data from experiments). The current replication crisis in science is evidence that sometimes (maybe even often) statistical methods are used wrongly or their results misinterpreted. In this course we give a coherent introduction to statistical analyses and their interpretation […]
6th International Conference on Big Data (CBDA 2025) April 26 ~ 27, 2025, Copenhagen, Denmark https://cosit2025.org/cbda/index Call for Papers 6th International Conference on Big Data (CBDA 2025) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data. It will also serve to […]
Aim and content Four week school designed to introduce different key aspects of Data Science and Machine Learning in different branches of science (chemistry, food & feed, physics, environmental, political economics, etc). The course has the following modules: 1) PROGRAMMING - Introduction to Programming for Multivariate data analysis in Matlab, Python and R This online […]
Aim and content The course will take place over five consecutive Tuesdays, starting Apr. 29, 2025 (i.e. April 29. May 6, May 13, May 20, May 27). The Machine Learning for SCIENCE (MLS) course introduces key analysis methods in Machine Learning. These methods allow investigations of scientific data from most fields, including data from physical […]
Date and time: 30 April 2025 from 9:00 to 16:00. Target group This course is exclusively for PhD students at University of Copenhagen. Academic Aim The purpose of this course is to introduce PhD students from the humanities to the basics of research data management, how to comply with the UCPH Data Management Policy, and how to […]
Welcome to Method comparison reliability and agreement 2025 Program: BEN (also relevant for B, CPM, CSLTM, HES) Description: The course will focus on the importance of method comparison studies when evaluating new clinical and experimental methods. The course will describe how method comparison studies are designed and how obtained results are analysed and described. Application of analytical […]
Speaker: Magnus Madsen Location: Peter Bøgh Auditorium (Building: 5335, Room: 016), Finlandsgade 21, 8200 Aarhus When: May 1st, 2025, at 14:15 Abstract: In this talk, I will present an overview of the Flix programming language, a functional, imperative, and logic programming language developed at Aarhus University and by a community of open-source contributors. I will […]
Join us on May 1st at DTU Skylab in Lyngby for an afternoon of thought-provoking talks, expert-led discussions, and meaningful networking focused on the latest trends in technical AI. Shortly about this event: Hear from top researchers and professionals on: - AI in Life Sciences: Discover how AI is reshaping healthcare and driving innovation in […]
Aim and content This 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 […]
# Computational Research Methods, a PhD Course at Copenhagen Business School. ## Course Description This course is designed for doctoral students who are interested in applying computational research methods to social science research. The overarching objectives of the course are to (1) familiarize students with key concepts in the field of computational social science, and […]
Welcome to Radio Simulation Techniques Description: Due to the increasing complexity of radio systems, the use of advanced simulations is becoming one of the preferred methodologies for realistic performance assessments. In line with this statement, the leading industrial standardization forum for cellular systems – the Third-Generation Partnership Program (3GPP) – also relies heavily on advanced simulations […]
Aim and content This course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD Students from NorDoc member faculties. All other participants must pay the course fee. Anyone can apply for the course, but if you are not a PhD student at a Danish university, you will […]
Aim and content Researchers are usually interested in investigating causal relationships, i.e., how one thing affects another thing. While the analysis of causal relationships is easiest when using experimental data, in several research areas (e.g., social sciences) experiments are not always feasible, and when they are feasible, they may suffer from important limitations. As a […]
Aim and content Researchers are usually interested in investigating causal relationships, i.e., how one thing affects another thing. While the analysis of causal relationships is easiest when using experimental data, in several research areas (e.g., social sciences) experiments are not always feasible, and when they are feasible, they may suffer from important limitations. As a […]
In recent years, the increasing role of computational methods has significantly influenced statistical practice. Resampling techniques have become essential tools for constructing inferential procedures. These inferential procedures usually consist of constructing confidence intervals, estimating standard errors, performing hypothesis tests, generating prediction regions, and selecting regression models. A key challenge in many of these tasks is […]
Aim and content Four week school designed to introduce different key aspects of Data Science and Machine Learning in different branches of science (chemistry, food & feed, physics, environmental, political economics, etc). The course has the following modules: 1) PROGRAMMING - Introduction to Programming for Multivariate data analysis in Matlab, Python and R This online […]
Aim and content Four week school designed to introduce different key aspects of Data Science and Machine Learning in different branches of science (chemistry, food & feed, physics, environmental, political economics, etc). The course has the following modules: 1) PROGRAMMING - Introduction to Programming for Multivariate data analysis in Matlab, Python and R This online […]
Pioneer Centre for Artificial Intelligence (P1), Danish e-Infrastructure Consortium (DeiC), and Danish Data Science Academy (DDSA) invite all Bachelors and Masters students enrolled at Danish universities for an exciting 1-day all-inclusive workshop on High-Performance Computing (HPC). This event is designed to provide you with the knowledge and hands-on experience needed to leverage HPC systems effectively. […]
Aim and content This 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 […]
“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 […]
Aim and content This course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD Students from NorDoc member faculties. All other participants must pay the course fee. Anyone can apply for the course, but if you are not a PhD student at a Danish university, you will […]
Description: In today’s world, data is at the heart of decision-making processes across various domains. Dataflow is a programming paradigm and execution model that underpins many modern distributed data processing systems. In this model, developers create programs by defining sequences of functional transformations on input data. The system runtime then manages the execution of these programs […]
Aim and content This 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 […]
Welcome to Development and implementation of machine learning models for dynamic risk prediction models in health care applications PhD Programme: Epidemiology and Biostatistics Description: Traditional risk prediction generates a risk estimate at a defined timepoint a patient’s trajectory, for example the risk of death within 30 days following a surgical procedure. In contrast, dynamic risk prediction enables […]
Aim and content This 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 […]
Organisers: Johan Rønby and Jakob Hærvig Lecturers: Johan Rønby, Roskilde University (RUC) Jakob Hærvig, Aalborg University (AAU) Deadline: 20 May 2025 Place: Roskilde University, Universitetsvej 1, 4000 Roskilde, Denmark, Building and room TBA Format: In person Max no. of participants: 25 Description: This course is an introduction to CFD using OpenFOAM, which is the most […]
Description: Urban computing is an emerging field that aims to address the challenges of rapid urbanization, such as pollution, energy consumption, and traffic congestion. Urban computing involves acquiring, integrating, and analyzing large and heterogeneous data generated by a variety of sources in urban spaces, including sensors, devices, vehicles, buildings, and people, to tackle major urban challenges. […]
Welcome to Convex Optimization, Game Theory, and Machine Learning for Upcoming 6G Networks Description: Nowadays, wireless networks have faced an explosive growth of data traffic because of the dramatic increase in the use of mobile devices and, consequently, data-greedy and delay-sensitive applications. Furthermore, bringing everyone and everything unconnected to the connected world is crucial. Thus, researchers […]
The SMARTbiomed summer school will be held from 23rd to 27th of June 2025 at Sandbjerg Gods. The registration deadline is 19th of April. The summer school is a great opportunity for PhD students and postdocs to broaden their professional skills and network. The summer school offers plenty of opportunities to engage with our expert […]
Aim and content The aim of this course is to introduce the students to all phases in a nutritional metabolomics study, to instruct the students on sample handling, and to train the student in data analysis and in the use of freely available tools for the metabolomics data flow. The course will provide a general […]
The PhD School on Intersections of Algorithms and Machine Learning Theory will take place at the University of Southern Denmark, Campus Odense, from July 1 to 4, 2025. The speakers will be Paul Dütting, Roi Livni, Nicole Megow, and Sahil Singla. They will cover the topics Prophet Inequalities, Foundations of Machine Learning, Algorithms with Predictions, […]
The 21st Nordic Workshop on Scattering from Soft Matter is hosted by Professor Jan Skov Pedersen, iNANO & Department of Chemistry, Aarhus University. The leading Nordic researchers within the field of soft matter studied by scattering methods will meet in Aarhus on 07th - 09th of January 2025. Scientific meeting 07-08 January (lunch to lunch) and tutorial […]
Aim and content The course is designed to equip students with the necessary tools to reflect upon and quantify sustainability performance, a crucial component in research, policymaking, corporate decision making, and reporting. It focuses on introducing the fundamental principles of quantitative sustainability assessment of various production systems, including dynamic carbon modelling and utilizing unexplored side […]
Welcome to The social side of robots and AI. Exploring video-based method for the analysis of interaction with robots and artificial intelligence This PhD course prepares students to explore video-based methods for the analysis and design of people’s interactions with robots or artificial intelligence (AI) in social settings. Social and collaborative robots as well as […]
Free, annual event for bachelor’s- and master’s students in data science (or related) study programmes who are curious about doing a PhD in data science. This is your opportunity to spend 24+ hours with like-minded students and a line-up of PhD students, young researchers, and data science professionals ready to share their experiences and advice […]
Aim and content The aim of course is to equip the participants with statistical methods, and knowledge of the newest research within statistical methods, for evaluation of machine learning and AI. The course runs as a summer school, retreat for five full days. As preparation, the students prepare a poster framing their own research in […]
Aim and content This course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD Students from NorDoc member faculties. All other participants must pay the course fee. Anyone can apply for the course, but if you are not a PhD student at a Danish university, you will […]
DDSA is thrilled to announce the dates of D3A – Danish Digitization, Data Science and AI 3.0 – hosted by Danish Data Science Academy, Pioneer Centre for AI, and Digital Research Centre Denmark! On August 26-27, 2025, we are bringing together visionary researchers and leading professionals at Hotel Nyborg Strand to grow the Danish digitalization, […]
Welcome to Design and Query Processing in Specialized Data Management Systems Description: Relational Database Management Systems have been applied in many different domains and build the foundation of every larger software application stack. However, highly specific applications and use cases often require more tailored systems along with a non-relational data model and use-case specific query language. […]
Welcome to Ethnography in health care sciences PhD Programme: Health Care, Health Promotion and Organizations (HCHPO) Description: Ethnographic research has become increasingly popular in health care sciences. This course provides a solid methodological foundation for using ethnographic research to understand real-world issues in context. Attention will be paid to how ethnographic strategies can be deployed in health […]
Welcome to clinical cancer research – from laboratory to bedside Program: B Description: This PhD course is offered by the Doctoral School of Medicine, Biomedical Science and Technology, Aalborg University and Clinical Cancer Research Center, Aalborg University Hospital This PhD course is aimed at PhD students working within the field of translational and clinical cancer research. […]
Faculty Professor Peter Bogetoft Department of Economics, CBS Prerequisites A basic knowledge of quantitative methods and statistics is required; however, the course will revisit and refresh participants’ prior knowledge as needed. The focus will be on practical applications in research and consultancy, with training in the use of open-source software such as R. Participants are […]
Welcome to System Dynamics for Modeling Complex Systems 2025 Description: Systems are getting increasingly complex every day and their interdependency is considerably growing. Therefore, effective modeling approaches are required to improve our understanding of their behavior and investigate the long-term consequences of our decisions. System dynamics (SD) is a powerful modeling tool to understand and analyze the […]
Aim and content This 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 […]
Description: Artificial Intelligence has experienced a tremendous increase in attention in recent years across all sectors, including health, transportation, finance, construction, and entertainment. In the realm of software engineering, integrating AI in a human-centered manner is crucial for ensuring that these technologies enhance human capabilities and maintain ethical integrity. Ben Shneiderman envisions "computing devices that […]
Aim and content This course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD Students from NorDoc member faculties. All other participants must pay the course fee. Anyone can apply for the course, but if you are not a PhD student at a Danish university, you will […]
Health Data Science Day (HDSD) aims to bring together students, researchers, and industry employees that work across the wide field of health data science. The Center for Health Data Science (HeaDS) aims to assemble everyone from master's students, PhD fellows, early career researchers and established experts. HDSD is a meeting place for those engaged or […]
Welcome to Bayesian Statistics Simulation and Software (2025) Description: During the last decades, Bayesian statistics has gained enormous popularity as an elegant and powerful computational tool to perform statistical analysis in complex stochastic models as applied in engineering, science and medicine. Bayesian statistics offers an alternative approach to traditional data analysis by including prior knowledge about the […]
Welcome to Advanced Qualitative Methods for User and Consumer Research 2025 Description: This course will outline theory and practice of qualitative research. The entire course will have a very applied approach towards qualitative studies. A variety of methodological approaches will be introduced and a special focus will be within: 1. How to implement validity and reliability in […]
DDSA is thrilled to announce the dates of D3A – Danish Digitization, Data Science and AI 4.0 – hosted by Danish Data Science Academy, Pioneer Centre for AI, and Digital Research Centre Denmark! On October 8 and 9, 2026, we are bringing together visionary researchers and leading professionals at Hotel Nyborg Strand to grow the […]
