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\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.
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Thesis Director: Prof. T. Kippenberg,
\r\nPhysics doctoral program
\r\nThesis Nr. 10786
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\r\nTo take part in the public defense, please contact directly the speaker
Living systems consume energy and information to survive, grow, and reproduce. These vital dynamics occur across many scales of space and time, but the most fundamental is molecular: atoms and the bonds between them. The genetic code is written in atoms. It in turn specifies the atomic structures of proteins, biology’s energy and information processing units, which execute their functions in molecular space. Therefore, in a deep sense, atomic motion is the foundation from which life emerges. I seek to understand that motion.
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\r\nOne direct and powerful route is to film macromolecules with chemical resolution in both space (Å) and time (fs). I will describe a technology that uniquely enables us to achieve both simultaneously – the X-ray free-electron laser – and show how my team has used XFELs to watch two proteins at work.
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\r\nFirst, I will present our experiments on photolyase, an enzyme that harnesses light to repair life-threatening DNA damage. We found photolyase achieves very high repair quantum efficiency through an unexpected mechanism: by locking its photoexcited chromophore into a bent configuration. Further, photolyase achieves product/substrate specificity geometrically, using a rigid active site that matches substrate but not product. Second, I will share preliminary results on cryptochrome 4, a descendant of photolyase that has been proposed to act as an avian magnetosensor. Do birds navigate using a quantum magnetic compass? Our experimental program is investigating this provocative hypothesis.
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Le self-leadership est un processus qui permet à une personne d’être plus à l’aise avec qui elle est, et qui l’amène à développer son potentiel et à construire une fondation solide à partir de laquelle toute décision – tant au niveau professionnel que personnel – peut être prise sereinement. Un bon niveau de self-leadership permet de s’épanouir à la fois dans sa propre personnalité et dans ses relations avec les autres, d’atteindre ses objectifs, et finalement, d’être un meilleur leader pour les autres.
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\r\nComment cet atelier peut vous aider: Les 3 piliers du self-leadership seront approfondis : la conscience de soi, la confiance en soi et la gestion de soi. En parallèle, ce séminaire encourage un espace de réflexion et de partage, dans lequel idées et stratégies sont échangées avec d’autres participant·e·s sur comment faire face et réussir dans des situations professionnelles souvent complexes et difficiles.
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\r\nJours 1 et 2 : 9h00 - 17h30
\r\nJour 3: 9h00 - 12h30
You can apply to participate and find all the relevant information (speakers, abstracts, program,...) on the event website: https://www.cecam.org/workshop-details/complex-fluids-at-interfaces-structure-stability-and-molecular-effects-1492.
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\r\nRegistration is required to attend the full event, take part in the social activities and present a poster at the poster session (if any). However, the EPFL community is welcome to attend specific lectures without registration if the topic is of interest to their research. Do not hesitate to contact the CECAM Event Manager if you have any question.
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\r\nDescription
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\r\nComplex fluids are ubiquitous in biology, geophysics, and industry [1]. These materials are challenging to characterize and predict [1–4], particularly when they incorporate multiple interfaces, as in colloidal suspensions [4], foams [5–7], or nanoporous membranes [8–10]. Many of these interfaces are micro- or nano-scale and evolve over short times, which can obscure them to observation and pose challenges to experimentalists [2–5, 11, 12]. This opens exciting opportunities for a strong partnership between the development of novel theoretical, computational, and experimental techniques.
\r\nProbing interfaces presents unique challenges compared to probing complex fluids in the bulk. The interfacial structure and constitutive behavior then depend on the composition of two fluids as well as the interfacial configuration [13, 14]. Translating this increased complexity to a computational framework involves developing reliable models describing molecular interactions near fluid-fluid or fluid-solid interfaces [15–17], as well as models for continuum stresses [18]. Molecular modeling is necessary to reveal the physics of chemically-complex structures [17], but is computationally expensive, and it can be challenging to identify the relevant physics to include [19]. Yet the interface also provides unique opportunities for control: in liquid crystals, for example, interfacial stresses can be transmitted through the bulk, leading to novel pattern formation [20] and optical materials exploiting interfacial control [21]. Finally, interfaces are prone to instabilities, which can make flows unpredictable, but opens opportunities to exploit unstable growth for spontaneous patterning.
\r\nTo underscore the present challenges, even for a “simple” Newtonian fluid, the presence of an interface may hinder understanding of flow mechanics. For example, mechanisms for contact during drop impact are still debated [22]: molecular dynamics (MD) simulations can clarify which effects dominate among interfacial instabilities, electrostatic charge, gas-kinetic effects, and other driving forces [22–26], in addition to liquid/surface chemistry [27, 28]. Diffusive processes at interfaces [29] and nanoscale membrane flows, where osmotic and phoretic effects are significant [11, 30], also require further development in MD or coarse-grained models.
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\r\nThis workshop aims to foster exchanges around the following broad questions:\r\n
Thesis Director: Prof. L. Tang,
\r\nMolecular Life Sciences doctoral program
\r\nThesis Nr. 10996
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\r\nTo take part in the public defense, please contact directly the speaker
Thesis Director: Prof. J.-Ph. Brantut,
\r\nPhysics doctoral program
\r\nThesis Nr. 11661
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\r\nTo take part in the public defense, please contact directly the speaker