Events Calendar

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.


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Ask Me Anything webinar with Laura Alessandretti

Virtual Event Virtual Event

Are you curious to hear what a Data Science career in Denmark looks like? Join DDSA’s Young Academy Panel for the monthly Ask Me Anything webinar series! At each webinar, an invited speaker will engage in an honest conversation about their career and answer all your related questions. In this edition, our guest is Laura […]

Free

Digital Twin University Hackathon

DTU Skylab Diplomvej 373D, Kongens Lyngby, Denmark

Monday the 22nd, students, lecturers, researchers, start ups and learning experts are invited to collaborate during the week to build a working prototype of a digital twin using a mix of game engines, digital twins, reality capture and VR / AR. The results will be presented on Friday the 26th. Our goal is to provide […]

National Data Science PhD Meetup

Hotel Hesselet Christianslundsvej 119,, Nyborg, Denmark

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 […]

Free

Cross-Academy PhD Scholarship Call 2024 – Deadline

Open Call

We are now open for applications for cross-academy PhD scholarships! Danish Data Science Academy aim to promote interdisciplinary and cross-sectoral research. With our Novo Nordisk Foundation funded sister-academies, Danish Diabetes and Endocrine Academy, and Danish Cardiovascular Academy we therefore invite for applications for 10 2/3 co-funded PhD Scholarships of DKK 1,1 million to young researchers who […]

Decentralized Bilevel Optimization

Online Copenhagen

This is a talk given by Prof Shiqian Ma as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/, branding the role of Operations Research in Artificial Intelligence with the support of EURO, https://www.euro-online.org. Abstract: Bilevel optimization has received tremendous attention recently due to its great success in machine learning applications such […]

Free

HIDA Lectures – Ally or Adversary: Examining the Impact of Large Language Models on Academics and Academic Work

Online Copenhagen

The unveiling of ChatGPT sparked extensive discussions on its implications for science. This lecture will delve into the dynamic interplay between Large Language Models (LLMs) and the academic landscape, exploring their potential benefits as well as the risks they pose to the science system and academic profession. Through the examination of empirical data, ethical questions […]

Risk Quadrangle and Applications: Support Vector Regression (SVR)

Online Copenhagen

This is a talk given by Prof Stan Uryasev as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/, branding the role of Operations Research in Artificial Intelligence with the support of EURO, https://www.euro-online.org. Abstract: The Support Vector Regression (SVR) is investigated in the Risk Quadrangle framework. ε-SVR and ν-SVR, correspond to […]

Free

Learning and Optimization: Separate or Integrate?

Online Copenhagen

This is a talk given by Prof Nathan Kallus as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/, branding the role of Operations Research in Artificial Intelligence with the support of EURO, https://www.euro-online.org. Abstract: Predictive side information (aka context) makes optimization under uncertainty less uncertain, but leveraging it requires we learn […]

Free