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X-ORIGINAL-URL:https://ddsa.dk
X-WR-CALDESC:Events for DDSA
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BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20260202T090000
DTEND;TZID=Europe/Copenhagen:20260202T170000
DTSTAMP:20260414T234611
CREATED:20260113T065115Z
LAST-MODIFIED:20260113T065115Z
UID:10001781-1770022800-1770051600@ddsa.dk
SUMMARY:Multimodal Anomaly Detection
DESCRIPTION:Anomaly detection is highly important in many machine learning-driven fields\, yet developing mostly independently for different data modalities such as audio\, EEG signals\, images\, text\, videos or time-series in general. This workshop aims at bringing together experts in anomaly detection from different communities and at promoting joint research activities of its members.
URL:https://ddsa.dk/event/multimodal-anomaly-detection/
LOCATION:Aalborg Innovation\, Thomas Manns Vej 25\, Aalborg\, Aalborg\, 9220\, Denmark
CATEGORIES:Other Events
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20251201
DTEND;VALUE=DATE:20251202
DTSTAMP:20260414T234611
CREATED:20250428T112037Z
LAST-MODIFIED:20250428T112037Z
UID:10001610-1764547200-1764633599@ddsa.dk
SUMMARY:First Interdisciplinary Workshop on Responsible AI for Value Creation
DESCRIPTION:Responsible technology is redefining the AI landscape. AI is no longer about developing algorithms/solutions for a given problem\, from only technical perspectives. Legal\, ethical\, and organizational aspects\, to name a few\, are among other perspectives\, that are crucial to deal with\, when developing responsible AI solutions for creating value such as economic value and acceptance by the public. This calls for interdisciplinary research. Such research however might be difficult to publish in single-disciplined topics\, unless they make their work biased towards one of the disciplines. This workshop aims to remedy this by focusing on interdisciplinary research about AI. Concretely\, this workshop calls for papers on AI\, targeting at solving problems from any field\, requiring truly interdisciplinary research\, covering at least two different disciplines\, to name a few: \n\nTechnical development of AI solutions\nEthical aspects of developing and deploying AI solutions\nLegal aspects governing AI solutions\nOrganizational aspects related to integrating AI into work practices\nCreating societal value or economic values through AI solutions.\n\nImportant Dates\nPaper submission: September 1st\, 2025\nDecision notification: September 15th\, 2025\nCamera ready: October 1st\, 2025
URL:https://ddsa.dk/event/first-interdisciplinary-workshop-on-responsible-ai-for-value-creation/
LOCATION:Aalborg University Copenhagen\, A. C. Meyers Vænge 15\, Copenhagen\, 2450\, Denmark
ATTACH;FMTTYPE=image/png:https://ddsa.dk/wp-content/uploads/2025/04/Billede1-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20251027
DTEND;VALUE=DATE:20251029
DTSTAMP:20260414T234611
CREATED:20250819T062913Z
LAST-MODIFIED:20250819T062913Z
UID:10001665-1761523200-1761695999@ddsa.dk
SUMMARY:9th Annual Danish Bioinformatics Conference 2025
DESCRIPTION:The Danish Bioinformatics Conference\, under the umbrella of ELIXIR Denmark (www.elixir-denmark.org)\, 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. You will have the chance to learn\, connect\, and stay up-to-date with the most cutting-edge developments in the field. \nThe main themes of this year’s conference are: Method development\, Deep Learning\, Integrative Omics\, and Translational Bioinformatics and we have four excellent keynote speakers for each of these. During the conference\, there will be two poster sessions and several parallel in-person workshops. \nWe are looking forward to welcoming you at this vibrant Danish bioinformatics event!
URL:https://ddsa.dk/event/9th-annual-danish-bioinformatics-conference-2025/
LOCATION:Aalborg University\, Selma Lagerløfs Vej 249\, Selma Lagerløfs Vej 249\, Gistrup\, 9260\, Denmark
CATEGORIES:DDSA-Funded Event
ATTACH;FMTTYPE=image/jpeg:https://ddsa.dk/wp-content/uploads/2025/08/Poster2025_13082025_forPNG.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250811
DTEND;VALUE=DATE:20250816
DTSTAMP:20260414T234611
CREATED:20250505T103857Z
LAST-MODIFIED:20250505T103857Z
UID:10001612-1754870400-1755302399@ddsa.dk
SUMMARY:Ph. D. school on multi-modal learning
DESCRIPTION:Multi-modal learning is an innovative field in machine learning that focuses on integrating and leveraging data from multiple diverse sources or modalities. This approach aims to create more robust\, accurate\, and comprehensive models by combining information from different types of data\, such as images\, text\, audio\, and numerical data. \nIn this summer school\, we will explore multi-modal learning with a particular emphasis on integrating images data with other modalities. We have invited a group of speakers that are specialist in learning from multiple data sources. The course will examine real-world applications across various disciplines\, including healthcare (integrating medical scans with patient records) and biology (combining genetic information with visual data of insects)\, as well as theoretical developments in combining images with e.g. text or video. \nBy learning to harness the power of multiple data modalities\, researchers can generate new insights and tackle complex problems that single-modality approaches may struggle to solve. This course will provide participants with the theoretical foundations and practical skills needed to apply multi-modal learning techniques in their own research domains. \nA key component of the summer school will be hands-on\, group-based project work. Participants will engage in a programming challenge that applies multi-modal learning techniques to a real-world problem. The format of a challenge will encourage collaboration\, creativity\, and critical thinking in the practical application of multi-modal learning concepts.
URL:https://ddsa.dk/event/ph-d-school-on-multi-modal-learning/
LOCATION:Hotel Kobæk Strand\, Kobækvej 85\, Skælskør\, 4230\, Denmark
CATEGORIES:DDSA-Funded Event,PhD Course
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20250520T100000
DTEND;TZID=Europe/Copenhagen:20250521T160000
DTSTAMP:20260414T234611
CREATED:20250307T101838Z
LAST-MODIFIED:20250307T101838Z
UID:10001578-1747735200-1747843200@ddsa.dk
SUMMARY:Resampling Techniques in Statistics and Data Analysis
DESCRIPTION: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 accurately approximating the sampling distribution of a statistic\, which resampling techniques effectively address. \nResampling techniques have become essential tools in modern statistical analysis\, enabling robust inferential procedures without relying on restrictive model assumptions. These methods leverage computational power to provide highly accurate inference while offering flexibility in complex data settings. These computer-intensive methods have profoundly shaped scientific research by enabling more reliable statistical inferences without relying on unrealistic assumptions. As computational power continues to expand\, the full potential of these methods for tackling complex inferential problems is still unfolding \nThis course on resampling techniques will cover key resampling methods\, with a focus on practical applications using real data. Topics include resampling techniques such as the jackknife\, bootstrap\, and subsampling\, with a focus on bias\, variance\, and distribution estimation. We will explore their applications in inference\, including confidence intervals\, hypothesis testing\, and accuracy assessments. Additionally\, we will cover resampling methods for dependent data\, including block and model-based bootstraps\, as well as approaches for handling non-stationarity and long-memory processes.
URL:https://ddsa.dk/event/resampling-techniques-in-statistics-and-data-analysis/
LOCATION:AAU INNOVATE\, Thomas Manns Vej 25\, Aalborg\, 9220\, Denmark
CATEGORIES:DDSA-Funded Event,PhD Course
ATTACH;FMTTYPE=image/jpeg:https://ddsa.dk/wp-content/uploads/2025/03/dolls.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250422
DTEND;VALUE=DATE:20250423
DTSTAMP:20260414T234611
CREATED:20250214T074247Z
LAST-MODIFIED:20250214T074247Z
UID:10001450-1745280000-1745366399@ddsa.dk
SUMMARY:Earth Day 2025 Climate Change Data Dashboards
DESCRIPTION:The Department of Mathematical Sciences invites students\, faculty\, and the public to join us for the Earth Day 2025 Event. The theme for this year is “Climate Change Data Dashboards”. \nThe event is a day-long celebration of the importance and challenges of communicating climate change research to the public. The event is open to researchers\, students\, and anyone who is interested in learning more about this pressing topic. \nThe event will take place on April 22\, 2025\, at Aalborg University\, Denmark.
URL:https://ddsa.dk/event/earth-day-2025-climate-change-data-dashboards/
LOCATION:AAU INNOVATE\, Thomas Manns Vej 25\, Aalborg\, 9220\, Denmark
CATEGORIES:DDSA-Funded Event
ATTACH;FMTTYPE=image/png:https://ddsa.dk/wp-content/uploads/2025/02/earth_day_cc.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241206
DTEND;VALUE=DATE:20241207
DTSTAMP:20260414T234611
CREATED:20241011T084633Z
LAST-MODIFIED:20241011T084633Z
UID:10001405-1733443200-1733529599@ddsa.dk
SUMMARY:Artificial Nature Transposium: Transdisciplinary Symposium on Artificial Life and Sustainable Complex Systems
DESCRIPTION:Artificial Nature Transposium: Transdisciplinary Symposium on Artificial Life and Sustainable Complex Systems\, accompanied by a media art exhibition EDEN\, is organized by scholars and researchers from Aalborg University and the University of Southern Denmark. The one-day symposium will take place at the Musikkens Hus in Aalborg on 6 December 2024. The symposium is conducted in coordination with a public Art & Science exhibition EDEN that opens at Kunsthal Nord in Aalborg on December 6th and runs through December 13th. The exhibition challenges normative perspectives on biological life\, exploring alternative ways humans perceive and interact with other forms of living processes. \nThe Artificial Nature Transposium (ANT) is a transdisciplinary symposium connecting researchers and industry leaders. ANT focuses on soft ALife (emergent AI\, artificial life modeling)\, hard ALife (robotics and AI)\, wet ALife (synthetic biology\, disease modeling)\, sustainability (ecosystem modeling)\, as well as the arts and design (music and architecture). This event aims to catalyze collaboration and dialogue between experts from fields spanning AI\, robotics\, synthetic biology\, and bio-materials\, with a core focus on the sustainable development of complex\, technology-driven systems that enhance human-society-nature interactions. \nThe keynote speakers at the event are bioarchitecture visionaries Hanaa Dahy and Phil Ayres\, and bio artist and researcher Fara Paluso. The transposium functions as a catalyst for transdisciplinary conversations across industry and academia\, therefore panelists Jonas Jørgensen (SDU)\, Anca Horvath (AAU)\, Kresten Jon Korup Kromphardt (UNIBIO)\, and Kasper Lynov (Copenhagen Zoo) will take part in a plenary discussion “When Art and Science Meet”\, moderated by Markus Löchtefeld (AAU). \nYou can find more details on the events at https://www.anthub.dk/
URL:https://ddsa.dk/event/artificial-nature-transposium-transdisciplinary-symposium-on-artificial-life-and-sustainable-complex-systems/
LOCATION:Musikkens Hus Aalborg\, Musikkens Pl. 1\, Aalborg\, 9000\, Denmark
CATEGORIES:DDSA-Funded Event
ATTACH;FMTTYPE=image/jpeg:https://ddsa.dk/wp-content/uploads/2024/10/ANT_EDEN.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20241203T123000
DTEND;TZID=Europe/Copenhagen:20241203T193000
DTSTAMP:20260414T234611
CREATED:20241126T102931Z
LAST-MODIFIED:20241126T102931Z
UID:10001418-1733229000-1733254200@ddsa.dk
SUMMARY:AAU NLP Symposium 2024
DESCRIPTION:We’re thrilled to announce the upcoming AAU NLP 2024 Symposium\, bringing together students\, researchers\, and industry practitioners to explore and discuss NLP topics within the realm of such as LLM-Security\, LLM factuality and multilinguality. We look forward to welcoming you to the symposium\, below you can find core relevant information. Note that we have a limit of 125 attendees\, so please register as soon as possible to secure your seat! \nDate: Dec 3\, 2024 12:30 PM — 6:00 PM\nEvent: AAU NLP Symposium 2024\nLocation: Aalborg University Copenhagen\, AC Meyers Vænge 15\, Copenhagen\, 2450\nTentative Agenda (subject to change): \n*Light refreshments and snacks will be provided during the breaks\n12:30 – 12:50: Registration and Coffee\n12:50 – 13:00: Introduction to the Symposium (Prof. Johannes Bjerva\, AAU)\n13:00 – 13:50: Leon Derczynski (NVIDIA) – “Raising the LLM Security Poverty Line”\n14:00 – 14:50: Jonas Pfeiffer (Google DeepMind\, Zurich) – “Modular Deep Learning”\n14:50 – 15:15: Coffee Break\n15:15 – 16:00: Desmond Elliot (University of Copenhagen) – “Pixel-based Models of Language”\n16:00 – 16:50: Anna Rogers (IT University of Copenhagen) – “AI ‘News’ Content Farms Are Easy to Make and Hard to Detect”\n16:50 – 17:15: Coffee Break\n17:15 – 18:00: Lightning talks by AAU NLP researchers – Speakers TBA\n18:00 – 19:30: Reception\, including drinks and snacks \nRegistration: https://forms.gle/pRL9BQQVQXMwkAap8
URL:https://ddsa.dk/event/aau-nlp-symposium-2024/
LOCATION:Aalborg University Copenhagen\, A. C. Meyers Vænge 15\, Copenhagen\, 2450\, Denmark
CATEGORIES:DDSA-Funded Event
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240812
DTEND;VALUE=DATE:20240817
DTSTAMP:20260414T234611
CREATED:20240410T104415Z
LAST-MODIFIED:20240410T104415Z
UID:10001057-1723420800-1723852799@ddsa.dk
SUMMARY:Summer school on biomedical image analysis – from acquisition to fairness and bias
DESCRIPTION:Biomedical image analysis is a broad topic that covers a variety of disciplines in modern computer science\, AI Research\, medical sciences and biology. In this summer school\, we aim at given the participant a good overview of the current state-of-the-art in several of the fundamental topics used in modern biomedical image analysis. \nBiomedical image analysis typically starts with the acquisition of data. This can for example be large 3D volume data from high-energy scanners\, human motion data from optical or infrared sensors\, cell images from microscopes or standard historical photos of species. We have invited a group of speakers that are specialist in several of these techniques. \nA common issue with complex data is how to represent the data in a compact way but where the information is still preserved. Currently\, there is a large research interest in implicit representation of 3D shapes for machine learning. These representation and other suitable ways of handling complex biomedical data is also presented at the summer school. \nWhile much modern image analysis is based on large deep neural networks\, there is still a need for knowing about core methods like advanced 3D morphological analysis and statistics of shapes. There will be expert speakers in this field. \nWith the modern data driven approaches it can be very hard to judge the fairness and biases of the models. We will have a session on these complex topic. \nThe course will include group based project work\, where the participants make a programming project relating their research to the summer school’s topics. It will be in the form of a challenge.
URL:https://ddsa.dk/event/summer-school-on-biomedical-image-analysis-from-acquisition-to-fairness-and-bias/
LOCATION:Hotel Christiansminde\, Christiansmindevej 16\, Svendborg\, 5700\, Denmark
CATEGORIES:PhD Course
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240617
DTEND;VALUE=DATE:20240622
DTSTAMP:20260414T234611
CREATED:20240530T112741Z
LAST-MODIFIED:20240530T112741Z
UID:10001303-1718582400-1719014399@ddsa.dk
SUMMARY:Nordic Probabilistic AI School (ProbAI)
DESCRIPTION: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 topic: introduction to probabilistic modeling\, variational inference\, and optimization\, deep generative models\, Monte Carlo methods\, probabilistic circuits\, Bayesian workflow\, and causality. We will have a collaborative and immersive learning environment where students\, lecturers\, and teaching assistants work together to deliver an efficient and high-quality knowledge transfer.
URL:https://ddsa.dk/event/nordic-probabilistic-ai-school-probai/
LOCATION:The Pioneer Centre for Artificial Intelligence\, The Pioneer Centre for Artificial Intelligence\, Øster Voldgade 3\, 1350 København K\, København\, 1350\, Denmark
CATEGORIES:DDSA-Funded Event
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240617
DTEND;VALUE=DATE:20240622
DTSTAMP:20260414T234611
CREATED:20240408T072838Z
LAST-MODIFIED:20240408T072838Z
UID:10001056-1718582400-1719014399@ddsa.dk
SUMMARY:Nordic ProbAI Summer School
DESCRIPTION:The Nordic ProbAI summer school aims to deliver a comprehensive curriculum to explore the intricacies of probabilistic machine learning and its real-world applications in bioinformatics and chemistry. The current program includes lectures and hands-on practical sessions provided by leading worldwide experts and researchers in this field. Invited speakers will cover a diverse range of topics\, including foundational concepts and advanced techniques\, such as variational inference\, deep generative models\, Bayesian flow networks\, Causal Inference\, Monte Carlo methods\, and more. \nIn addition to lectures and practical sessions\, the summer school program will also include poster sessions\, social meetings\, and a dinner to foster collaboration and knowledge exchange among participants and speakers alike. Overall\, the ProbAI summer school aims to offer a stimulating and enriching learning experience\, equipping attendees with the knowledge and tools to harness the power of probabilistic approaches in their research and professional endeavors.
URL:https://ddsa.dk/event/nordic-probai-summer-school/
CATEGORIES:DDSA-Funded Event
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240422
DTEND;VALUE=DATE:20240423
DTSTAMP:20260414T234611
CREATED:20240223T094255Z
LAST-MODIFIED:20240223T094255Z
UID:10000370-1713744000-1713830399@ddsa.dk
SUMMARY:Earth Day 2024: Data Science to Combat Global Heating
DESCRIPTION: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 future climate\, and design mitigation policies. \nThe event will feature: \n* Research presentations by invited speakers on how Mathematics\, Statistics\, and Data Science are used for Climate Change Research. \n* A climate-related hackathon where you can apply your data science skills to solve real-world problems related to climate change. Free pizza🍕 and drinks🥤for all participants in the hackathon (indicate dietary constraints at registration). \n* A climate change-related meme competition.
URL:https://ddsa.dk/event/earth-day-2024-data-science-to-combat-global-heating/
LOCATION:Aalborg University\, Aalborg\, Fredrik Bajers Vej 7K\, Aalborg\, 9220\, Denmark
CATEGORIES:DDSA-Funded Event
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