Danish Digitalization, Data Science, and AI - D3A

Do you want to host a session at this beautiful location in August? 👇 𝐓𝐡𝐞𝐧 𝐬𝐮𝐛𝐦𝐢𝐭 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐩𝐨𝐬𝐚𝐥 𝐟𝐨𝐫 𝐚 𝐩𝐚𝐫𝐚𝐥𝐥𝐞𝐥 𝐬𝐞𝐬𝐬𝐢𝐨𝐧 𝐚𝐭 𝐃𝟑𝐀 𝟑.𝟎! 📅 Calls for sessions are open until 𝐌𝐚𝐫𝐜𝐡 𝟑𝟎𝐭𝐡! 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗗𝟑𝗔? D3A brings together researchers, students, and professionals from diverse disciplines in computer science, data science and AI to share cutting-edge research and insights. 𝗪𝗵𝗲𝗻 & 𝘄𝗵𝗲𝗿𝗲? The conference takes place August 26th-27th in Nyborg. 𝗪𝗮𝗻𝘁 𝘁𝗼 𝘀𝗵𝗮𝗿𝗲 𝘆𝗼𝘂𝗿 𝗶𝗱𝗲𝗮𝘀 𝗮𝗻𝗱 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀? 𝗛𝗲𝗿𝗲 𝗶𝘀 𝗵𝗼𝘄 𝘆𝗼𝘂 𝗱𝗼 𝗶𝘁 👀 You submit a proposal for a parallel session before March 30th. A session can take a variety of formats, from workshops, seminars, or panels to hackathons. All submissions will then be reviewed by the Scientific Program Committee, who will select a number of sessions based on a list of assessment criteria. Find out more and submit your proposal here 👉 https://lnkd.in/eWFEFhn2 We look forward to gathering the community in August! ☀️ DDSA - Danish Data Science Academy Pioneer Centre for AI DIREC - Digital Research Centre Denmark #opencall #parallelsessions

𝐉𝐨𝐢𝐧 𝐭𝐡𝐞 𝐜𝐨-𝐜𝐫𝐞𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐃3𝐀 3.0! Mark your calendars for 26-27 August 2025, as we bring the community together once again for an inspiring conference in Nyborg! We invite you to help shape the programme by submitting a proposal for a parallel session. You do not need to be affiliated with DDSA - The Danish Data Science Academy , DIREC - Digital Research Centre Denmark , or the Pioneer Centre for AI to contribute or take part in D3A 3.0. We strongly encourage collaboration across disciplines to spark new ideas and synergies through your sessions. Find more details and submit your proposal here 👉 https://lnkd.in/eWFEFhn2 📅 𝐒𝐮𝐛𝐦𝐢𝐬𝐬𝐢𝐨𝐧 𝐝𝐞𝐚𝐝𝐥𝐢𝐧𝐞: 30 March 2025 Got any questions? Feel free to reach out—we’re happy to help! Danish Digitalization, Data Science, and AI - D3A is a scientific conference dedicated to exploring the latest research and insights in the field.

I recently had the opportunity to attend the Danish Digitalization, Data Science, and AI - D3A conference in Nyborg, where I presented my poster on “Automatic Detection of Cerebral Microbleeds: A Clinically Robust Deep Learning Framework.” This project, conducted at CEREBRIU as part of my MSc thesis in Data Science at IT-Universitetet i København, sits at the intersection of Medical Image Analysis and Deep Learning. We developed a 3D segmentation model that accurately detects cerebral microbleeds (CMBs) on both GRE T2* and SWI MRI sequences, while remaining robust to clinical data variability. CMBs are crucial diagnostic and prognostic imaging biomarkers linked to over 30 medical conditions. However, their manual detection is time-consuming and prone to error, making AI-driven automation a vital advancement. 👉 Project report: https://lnkd.in/d726MzaR 👉 GitHub repository: https://lnkd.in/dXwG8b2j #AI #DeepLearning #MedicalImaging #MRI #CerebralMicrobleeds #DataScience #Cerebriu #D3AConference

Amal Alghamdi, Rémi Laumont and Jakob Sauer Jørgensen from the CUQI_DTU team participated in the Danish Digitalization, Data Science, and AI - D3A conference in Nyborg last week and co-organized a session on Bayesian Methods for Uncertainty Quantification together with Jun Yang from the Department of Mathematical Sciences, University of Copenhagen. The session featured a range of insightful talks, including a presentation by Jakob Sauer Jørgensen, senior researcher and CUQIpy  software lead, who introduced our software tool, CUQIpy.   The conference was an excellent opportunity for engaging discussions and meaningful connections with the data science community.   CUQI_DTU is supported by Villum Fonden and DTU Compute

Reflecting, refining and ramping up for D3A 3.0. We are still high from last week where 525+ of you came to Nyborg to share cutting-edge research and insights, gain new knowledge, exchange ideas, and build valuable connections across geographical, scientific, and specialized domains. A massive thanks to everyone of you 🙏 The organizing committee is diving deep into your feedback to keep what you loved, tweak what could be better and add a few surprises to D3A 3.0. If you haven't fill out the evaluation yet, please make sure to do so or reach out to us - all your feedback is greatly appreciated. Stay tuned for more info about D3A 3.0. Simone Pasolini Michelle Løkkegaard Malene Hjulmand Bundgaard #D3A

From October 22 - 23, I had the amazing opportunity to attend the Danish Digitalization, Data Science, and AI - D3A 2.0 conference at Nyborg Strand. What a fantastic gathering of minds coming together to explore the latest frontiers and challenges in the field! I was able to take part in some truly exciting workshops, like: 🧪 Clinical Predictive Modeling: Closing the Gap between Data Science and Clinical Research Where Professor Gary Collins, Director of the Centre for Statistics in Medicine at the University of Oxford, and Paula Dhiman, Senior Researcher in Medical Statistics (also Oxford) focused on the latest practices in developing, evaluating, and reporting clinical prediction models. 🧠 From Brain Circuits to the Edge AI using Active Inference Tools Where Chris Mathys (Aarhus University), Dr. Carmelo Bellardita (University of Copenhagen), and Assoc. Prof. Melih Kandemir (University of Southern Denmark) walked us through how Machine Learning and edge AI are coming together with Neuroscience to better understand movement. During the two days, I also had the opportunity to meet a bunch of incredible people—special shoutout to Csilla Duray for her brilliant poster on Social Data Science for Urban Green Transition. So many interesting conversations and just the right community I was looking for to fuel my passion for research! I even had the privilege of sitting front-row for inspiring talks from professors and pioneers such as Alfred Spector and Cecilia Mascolo. Already looking forward to D3A 3.0 next year!😎 Huge thanks to all the participants, the speakers, and the organizers Pioneer Centre for AI, DDSA - Danish Data Science Academy, and DIREC - Digital Research Centre Denmark, for putting it all together and making it such a great space for learning and connection. #D3A #DataScience #Digitalization #ArtificialIntelligence #NLP #ML

Huge congratulations to the Danish National Champions of AI 2024: William B., Christian Steensbjerg Munk Jensen, Luis Sebastian Galán, Elias Rasmussen Lolck, and Thor Vejen Eriksen! 🇩🇰🏆👏 For the first time ever, a team of students from both Københavns Universitet - University of Copenhagen and DTU - Technical University of Denmark have been crowned the winners of the Danish National Championship in AI for students. The winning team, PER (Performance-Enhancing Rundstykke), secured first place and the prize of DKK 40,000 after an intense competition. Team PER impressed the jury with their solutions to three complex cases within Traffic Simulation, CT Inpainting, and Cell Classification - and delivered results that were accurate and creative. Team PER demonstrated that collaboration across educational backgrounds and technical fields can lead to extraordinary results, and that diversity in skills is a strength when tackling complex AI challenges! 💪 “We have been reminded of the importance of good organization, thorough testing, and early exploration of different strategies to identify the best approach. Participating in the Danish National Championship in AI has been an interesting and exciting experience. The competition is intense, testing whether you can rapidly develop three effective AI systems that perform well and are completely error-free. The challenge is to master every aspect of this process, but especially AI. We look forward to applying our experience in future projects and hope for opportunities to collaborate in the AI field,” says Team PER. DM in AI for students is organized by Ambolt AI, DDSA - Danish Data Science Academy and the Pioneer Centre for AI. The winners and two runner-up teams were celebrated last week at the national conference Danish Digitalization, Data Science, and AI - D3A. #DMinAI https://dmiai.dk/ DTU Compute Datalogisk Institut, Københavns Universitet - DIKU, Institut for Matematiske Fag, Københavns Universitet, Andreas Berre Eriksen, Marius Cortsen, Michelle Løkkegaard

Huge congratulations to the Danish National Champions of AI: William B., Christian Steensbjerg Munk Jensen, Luis Sebastian Galán, Elias Rasmussen Lolck, and Thor Vejen Eriksen! 🇩🇰🏆👏   For the first time ever, a team of students from both Københavns Universitet - University of Copenhagen and DTU - Technical University of Denmark has been crowned winners of the Danish National Championship in #AI for students in 2024. The winning team, PER (Performance-Enhancing Rundstykke), secured first place and the prize of DKK 40,000 after an intense competition.   Team PER impressed the jury with their solutions to three complex cases within Traffic Simulation, CT Inpainting, and Cell Classification - and delivered results that were accurate, creative, and error-free. Team PER demonstrated that collaboration across educational backgrounds and technical fields can lead to extraordinary results, and that diversity in skills is a strength when tackling complex AI challenges! 💪   “𝘞𝘦 𝘩𝘢𝘷𝘦 𝘣𝘦𝘦𝘯 𝘳𝘦𝘮𝘪𝘯𝘥𝘦𝘥 𝘰𝘧 𝘵𝘩𝘦 𝘪𝘮𝘱𝘰𝘳𝘵𝘢𝘯𝘤𝘦 𝘰𝘧 𝘨𝘰𝘰𝘥 𝘰𝘳𝘨𝘢𝘯𝘪𝘻𝘢𝘵𝘪𝘰𝘯, 𝘵𝘩𝘰𝘳𝘰𝘶𝘨𝘩 𝘵𝘦𝘴𝘵𝘪𝘯𝘨, 𝘢𝘯𝘥 𝘦𝘢𝘳𝘭𝘺 𝘦𝘹𝘱𝘭𝘰𝘳𝘢𝘵𝘪𝘰𝘯 𝘰𝘧 𝘥𝘪𝘧𝘧𝘦𝘳𝘦𝘯𝘵 𝘴𝘵𝘳𝘢𝘵𝘦𝘨𝘪𝘦𝘴 𝘵𝘰 𝘪𝘥𝘦𝘯𝘵𝘪𝘧𝘺 𝘵𝘩𝘦 𝘣𝘦𝘴𝘵 𝘢𝘱𝘱𝘳𝘰𝘢𝘤𝘩. 𝘗𝘢𝘳𝘵𝘪𝘤𝘪𝘱𝘢𝘵𝘪𝘯𝘨 𝘪𝘯 𝘵𝘩𝘦 𝘋𝘢𝘯𝘪𝘴𝘩 𝘕𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘊𝘩𝘢𝘮𝘱𝘪𝘰𝘯𝘴𝘩𝘪𝘱 𝘪𝘯 𝘈𝘐 𝘩𝘢𝘴 𝘣𝘦𝘦𝘯 𝘢𝘯 𝘪𝘯𝘵𝘦𝘳𝘦𝘴𝘵𝘪𝘯𝘨 𝘢𝘯𝘥 𝘦𝘹𝘤𝘪𝘵𝘪𝘯𝘨 𝘦𝘹𝘱𝘦𝘳𝘪𝘦𝘯𝘤𝘦. 𝘛𝘩𝘦 𝘤𝘰𝘮𝘱𝘦𝘵𝘪𝘵𝘪𝘰𝘯 𝘪𝘴 𝘪𝘯𝘵𝘦𝘯𝘴𝘦, 𝘵𝘦𝘴𝘵𝘪𝘯𝘨 𝘸𝘩𝘦𝘵𝘩𝘦𝘳 𝘺𝘰𝘶 𝘤𝘢𝘯 𝘳𝘢𝘱𝘪𝘥𝘭𝘺 𝘥𝘦𝘷𝘦𝘭𝘰𝘱 𝘵𝘩𝘳𝘦𝘦 𝘦𝘧𝘧𝘦𝘤𝘵𝘪𝘷𝘦 𝘈𝘐 𝘴𝘺𝘴𝘵𝘦𝘮𝘴 𝘵𝘩𝘢𝘵 𝘱𝘦𝘳𝘧𝘰𝘳𝘮 𝘸𝘦𝘭𝘭 𝘢𝘯𝘥 𝘢𝘳𝘦 𝘤𝘰𝘮𝘱𝘭𝘦𝘵𝘦𝘭𝘺 𝘦𝘳𝘳𝘰𝘳-𝘧𝘳𝘦𝘦. 𝘛𝘩𝘦 𝘤𝘩𝘢𝘭𝘭𝘦𝘯𝘨𝘦 𝘪𝘴 𝘵𝘰 𝘮𝘢𝘴𝘵𝘦𝘳 𝘦𝘷𝘦𝘳𝘺 𝘢𝘴𝘱𝘦𝘤𝘵 𝘰𝘧 𝘵𝘩𝘪𝘴 𝘱𝘳𝘰𝘤𝘦𝘴𝘴, 𝘣𝘶𝘵 𝘦𝘴𝘱𝘦𝘤𝘪𝘢𝘭𝘭𝘺 𝘈𝘐. 𝘞𝘦 𝘭𝘰𝘰𝘬 𝘧𝘰𝘳𝘸𝘢𝘳𝘥 𝘵𝘰 𝘢𝘱𝘱𝘭𝘺𝘪𝘯𝘨 𝘰𝘶𝘳 𝘦𝘹𝘱𝘦𝘳𝘪𝘦𝘯𝘤𝘦 𝘪𝘯 𝘧𝘶𝘵𝘶𝘳𝘦 𝘱𝘳𝘰𝘫𝘦𝘤𝘵𝘴 𝘢𝘯𝘥 𝘩𝘰𝘱𝘦 𝘧𝘰𝘳 𝘰𝘱𝘱𝘰𝘳𝘵𝘶𝘯𝘪𝘵𝘪𝘦𝘴 𝘵𝘰 𝘤𝘰𝘭𝘭𝘢𝘣𝘰𝘳𝘢𝘵𝘦 𝘪𝘯 𝘵𝘩𝘦 𝘈𝘐 𝘧𝘪𝘦𝘭𝘥,” says Team PER.   The winners and two runner-up teams were celebrated last week at the national conference Danish Digitalization, Data Science, and AI - D3A (#D3A), organized by DDSA, the Pioneer Centre for AI, and DIREC - Digital Research Centre Denmark.   The DM in AI for students is organized by Ambolt AI, DDSA - The Danish Data Science Academy, and the Pioneer Centre for AI.

An honor to speak at D3A Conference about the importance of Sustainability in a world increasingly shaped by AI. 🌱 Thank you for the many questions, discussions and connections made - were truly inspiring! It is evident that Sustainability and AI are inextricably linked in our journey forward. As we innovate and push the boundaries of technology, AI has the power to transform our world. We must ensure these advancements drive positive environmental impact and safeguard that innovation and sustainability go hand in hand.   Thank you again to the organisers Danish Digitalization, Data Science, and AI - D3A, Pinar Tozun, Raghavendra Selvan, DDSA - Danish Data Science Academy, DIREC - Digital Research Centre Denmark Speakers Sebastian Bugge Loeschcke, Emil Njor, Ties Robroek, Subham Subhasis Sahoo and attendees for a memorable experience. Let's continue to drive change and create a sustainable future, together.   #AI #Sustainability #d3e #Innovation #ResponsibleAI #Oracle

𝟑𝐫𝐝 𝐩𝐥𝐚𝐜𝐞 𝐢𝐧 𝐭𝐡𝐞 𝐃𝐚𝐧𝐢𝐬𝐡 𝐍𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐡𝐚𝐦𝐩𝐢𝐨𝐧𝐬𝐡𝐢𝐩 𝐢𝐧 𝐀𝐈 𝟐𝟎𝟐𝟒! 🎉 About a month ago, as team 𝐓𝐡𝐞 𝐕𝐢𝐤𝐢𝐧𝐠, 𝐭𝐡𝐞 𝐁𝐞𝐚𝐫, 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐎𝐥𝐢𝐯𝐞—myself, Björn Thor Stefánsson, and Oliver Sanchez—we tackled three tough challenges: traffic light optimization, cell classification on an imbalanced dataset, and CT image reconstruction. After a week of high screen time, caffeine-fueled sessions, and minimal sleep, we developed solid solutions, securing 𝟑𝐫𝐝 𝐩𝐥𝐚𝐜𝐞, earning a 𝟓,𝟎𝟎𝟎 𝐃𝐊𝐊 𝐩𝐫𝐢𝐳𝐞 plus an invitation to the Danish Digitalization, Data Science, and AI - D3A 𝟐.𝟎 𝐜𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞! 🙌 Each challenge in the competition pushed us to explore advanced methods and refine our approach to AI problem-solving. We experimented with models we hadn’t used before—like Vision Transformers and conditional GANs—and gained valuable insights along the way. For example, classification models on extracted features outperformed image-based networks for the cell classification of fluorescence microscope images, while UNet architectures minimized the mean absolute error (MAE) loss better than generative models for CT reconstructions (though with slightly less realistic results). Deploying our models on a virtual machine with a 10-second response time was also an important learning experience in real-time model deployment and optimization. 📡 With just three of us on the team and all of us still bachelor’s students, this was a true test of what we could achieve in AI, and we couldn’t be prouder of the outcome! 🥉 A huge thanks to the organizers, Ambolt AI, DDSA - Danish Data Science Academy, and Pioneer Centre for AI, for hosting such a fantastic learning experience. The competition was both intense and fun—the active memes channel kept us laughing through the challenging moments! We loved connecting with other teams and sharing approaches, and hope to have the chance to compete again in the future! 🚀 Competitions like this are fantastic, and I’d love to see more of these events in 𝐈𝐜𝐞𝐥𝐚𝐧𝐝 🇮🇸, where AI and creativity can combine to tackle real-world challenges. Check out the challenge details here: https://lnkd.in/eRpfWYSJ.