Join us for this year’s Research Day, featuring four inspiring keynote speakers and ENAC young researchers presenting their latest projects during a lively poster session.
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\r\nProgramm\r\n
Are you developing a medical device or a digital health solution?
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\r\nThe Human Health by Design program supports early‑stage teams in designing, prototyping, and validating solutions grounded in real clinical needs.
\r\nThis 6‑month program (June–December 2026) combines field immersion, user‑centered design, and multidisciplinary expertise to accelerate the adoption of impactful, safe, and clinically relevant technologies.
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\r\nWhat the program offers\r\n
We are pleased to announce that the second edition of the Summer School on “Numerical methods for random differential models” (NUMRAD26), will take place at the Bernoulli Center at EPFL, Lausanne (CH), from June 2nd to 5th, 2026.
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\r\nThe summer school will cover both introductory and advanced topics on numerical methods in the following areas: high-dimensional approximation, Gaussian processes, reduced order modeling for scientific machine learning, and mathematical finance. The up-to-date program of the summer school can be found at
\r\nhttps://numrad.epfl.ch/scientific-program/
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\r\nThe school is addressed to young mathematicians (PhD students, early postdoc researchers, and highly motivated master students), and it will consist in lectures delivered by world-wide renowned experts. Participants will have the chance to share their research during a poster session.
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\r\nThere are no registration fees, but the number of participants is limited. You can apply to the summer school by submitting the application form by February 13th 2026 at:
\r\nhttps://numrad.epfl.ch/registration/
\r\nApplicants will be informed of the admission decision by email within three weeks after the application deadline.
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\r\nFor more details, please visit:
\r\nhttps://numrad.epfl.ch
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\r\nThe event is funded by the Bernoulli Center at EPFL, the EDOC EPFL, and by the CSQI Chair.
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\r\nLooking forward to seeing you in Lausanne next June!
The Innovation Booster Fashion & Lifestyle empowers operational, technological, and social innovations developed with and for the Swiss Fashion and Lifestyle sector.
\r\nLeveraging the Leading House community and network, the Innovation Booster Fashion & Lifestyle creates a unique ecosystem enabling the dissemination of radical solutions to the challenges of the sector.\r\n
Current research indicates that the role of generative AI in education is a double-edged sword: on one hand it can assist teachers for designing effective learning tasks and resources, on the other hand it can have negative effects on student learning and raises a range of ethical questions.
\r\nIn our new workshop series “Responsible AI skills for education” we will try to navigate these questions by focusing on specific teaching and learning activities and identifying practical skills you can develop for your everyday practice. Through a blend of concise theoretical input and hands-on activities, we will explore both the benefits and the risks of generative AI in education in short 1-hour sessions on campus. The first two workshops in the series focus on quiz design and critical analysis skills.
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\r\nEffective quiz design:
\r\nIn this 1-hour workshop, we will focus on the design of effective quiz questions for your class with the assistance of LLM tools. We will explore both the ethical and practical questions associated with LLM use for this task through theoretical inputs and hands-on activities.
Current research indicates that the role of generative AI in education is a double-edged sword: on one hand it can assist teachers for designing effective learning tasks and resources, on the other hand it can have negative effects on student learning and raises a range of ethical questions.
\r\nIn our new workshop series “Responsible AI skills for education” we will try to navigate these questions by focusing on specific teaching and learning activities and identifying practical skills you can develop for your everyday practice. Through a blend of concise theoretical input and hands-on activities, we will explore both the benefits and the risks of generative AI in education in short 1-hour sessions on campus. The first two workshops in the series focus on quiz design and critical analysis skills.
\r\n
\r\nTeaching critical analysis:
\r\nIn this 1-hour workshop, we will focus on how to help students develop critical analysis skills for reviewing LLM outputs in the context of learning tasks. The workshop will combine theoretical inputs and hands-on activities, drawing on your disciplinary expertise and fact-checking strategies.
\r\n
Current research indicates that the role of generative AI in education is a double-edged sword: on one hand it can assist teachers for designing effective learning tasks and resources, on the other hand it can have negative effects on student learning and raises a range of ethical questions.
\r\nIn our new workshop series “Responsible AI skills for education” we will try to navigate these questions by focusing on specific teaching and learning activities and identifying practical skills you can develop for your everyday practice. Through a blend of concise theoretical input and hands-on activities, we will explore both the benefits and the risks of generative AI in education in short 1-hour sessions on campus. The first two workshops in the series focus on quiz design and critical analysis skills.
\r\n
\r\nEffective quiz design:
\r\nIn this 1-hour workshop, we will focus on the design of effective quiz questions for your class with the assistance of LLM tools. We will explore both the ethical and practical questions associated with LLM use for this task through theoretical inputs and hands-on activities.
\r\n