Events: Global events at Chalmers University of TechnologyMon, 06 Dec 2021 14:22:54 +0100 in the maritime industry<p>Tesla, conference room, Lindholmspiren 5, Navet. Or online via link. Link will be distributed after registration.</p><p>​Welcome to a workshop on digitalization in the maritime industry</p>​<div><span style="background-color:initial">The ongoing technological transformation of the maritime industry has led to a decentralization of control, and as a result, fragmentation of work when tasks are distributed among several human and artificial actors in diverse locales and organizations. </span><div><span style="background-color:initial">The aim of this workshop is to discuss the ongoing process of digitalization in the maritime industry and to explore the ways cooperation changes when work is distributed between humans and autonomous technologies.</span></div> <div><br /><span style="background-color:initial"></span><div><span style="background-color:initial">The workshop is a collaboration between the Department of Mechanics and Maritime Sciences, Chalmers University of Technology and Department of Applied IT, University of Gothenburg and hosted by <a href="/sv/personal/Sidor/olle-lindmark.aspx" title="More information about Olle LIndmark" target="_blank">Olle Lindmark</a> and <a href="" title="More information about Charlott Sellberg" target="_blank">Charlott Sellberg</a>.<br /></span></div></div></div> Talks with Cynthia Rudin<p>Zoom</p><p></p>​<span style="background-color:initial">December 8</span><span style="background-color:initial;font-family:&quot;open sans&quot;">, 2021, 3:00-4:00 pm (Swedish time)</span><div><div style="font-family:&quot;open sans&quot;">Online, Zoom</div> <div style="font-family:&quot;open sans&quot;"><br /></div> <div><span style="font-family:&quot;open sans&quot;;font-size:16px;font-weight:600;background-color:initial">Title: I</span><font face="open sans"><span style="font-size:16px"><span style="font-weight:700"><span style="background-color:initial"></span><span style="background-color:initial">nterpretable Machine Learning</span></span></span></font></div> <div><font face="open sans"><span style="font-size:16px"><span style="font-weight:700"><br /></span></span></font></div> <div><font face="open sans"><span style="font-size:16px"><span style="background-color:initial"><span style="font-weight:700"><a href="">Register by subscribing to our mailing list here.​</a></span></span></span></font></div> <div style="font-family:&quot;open sans&quot;"><span style="font-size:16px;font-weight:600;background-color:initial"><br /></span></div></div> <span style="font-family:&quot;open sans&quot;"></span><div><div style="font-family:&quot;open sans&quot;"></div> <div style="font-family:&quot;open sans&quot;;font-size:16px"></div> <p class="chalmersElement-P"><span style="font-family:&quot;open sans&quot;"><span style="font-weight:700">Abstract:</span></span><span style="font-family:&quot;open sans&quot;"> </span><font face="open sans">With widespread use of machine learning, there have been serious societal consequences from using black box models for high-stakes decisions, including flawed bail and parole decisions in criminal justice, racially-biased models in healthcare, and inexplicable loan decisions in finance. Transparency and interpretability of machine learning models is critical in high stakes decisions. However, there are clear reasons why organizations might use black box models instead: it is easier to profit from inexplicable predictive models than transparent models, and it is actually much easier to construct complicated models than interpretable models. Most importantly, there is a widely-held belief that that more accurate models must be more complicated, and more complicated models cannot possibly be understood by humans. Both parts of this last argument, however, are lacking in scientific evidence and are often not true in practice. There are many cases in which interpretable models are just as accurate as their black box counterparts on the same dataset, as long as one is willing to search carefully for such models. </font></p> <p class="chalmersElement-P"><font face="open sans"><br /></font></p> <p class="chalmersElement-P"><font face="open sans">In her talk, Dr. Rudin will discuss the interesting phenomenon that interpretable machine learning models are often as accurate as their black box counterparts, giving examples of such cases encountered throughout her career. One example she will discuss is predicting manhole fires and explosions in New York City, working with the power company. This was the project that ultimately drew Dr. Rudin to the topic of interpretable machine learning. This project was extremely difficult due to the complexity of the data, and interpretability was essential to her team’s ability to troubleshoot the model. In a second example, she will discuss how interpretable machine learning models can be used for extremely high stakes decisions, such as caring for critically ill patients in intensive care units of hospitals. Here, interpretable machine learning is used to predict seizures in patients being monitored with continuous electroencephalogram monitoring (cEEG). In a third example, she will discuss predicting criminal recidivism, touching upon the scandal surrounding the use of a black box model in the U.S. justice system, questioning whether we truly need such a model at all.</font></p></div> <div><h2 class="chalmersElement-H2" style="font-family:&quot;open sans&quot;;font-size:16px"><a href=""></a></h2> <span style="font-family:&quot;open sans&quot;;font-size:16px"></span><div style="font-family:&quot;open sans&quot;;font-size:16px"><br /></div> <span style="font-family:&quot;open sans&quot;;font-size:16px"></span><div style="font-family:&quot;open sans&quot;"><span style="font-family:&quot;open sans&quot;, sans-serif;font-size:20px">About the speaker</span><br /></div> <div><span style="font-family:&quot;open sans&quot;, sans-serif;font-size:20px"><img src="/SiteCollectionImages/Centrum/CHAIR/events/AI_Talks_CynthiaRudin.png" class="chalmersPosition-FloatLeft" alt="" style="margin-top:5px;margin-bottom:5px;margin-left:10px;height:232px;width:180px" /></span><font face="open sans">Cynthia Rudin is a professor of computer science, electrical and computer engineering, statistical science, and biostatistics &amp; bioinformatics at Duke University, and directs the Interpretable Machine Learning Lab (formerly the Prediction Analysis Lab). Previously, Prof. Rudin held positions at MIT, Columbia, and NYU. She holds an undergraduate degree from the University at Buffalo, and a PhD from Princeton University. She is a three-time winner of the INFORMS Innovative Applications in Analytics Award, was named as one of the “Top 40 Under 40” by Poets and Quants in 2015, and was named by as one of the 12 most impressive professors at MIT in 2015. She is a fellow of the American Statistical Association and a fellow of the Institute of Mathematical Statistics.</font></div></div> Week Dialogue: The Future of Space Travel<p>Lecture Hall Palmstedt, Chalmersplatsen 1, Campus Johanneberg, and online</p><p>​Welcome to attend a live stream lecture, held by Nobel Prize Laureate George Smoot, onsite Chalmers or online.</p>​<div><span style="background-color:initial">The idea of traveling into space and exploring the universe has always attracted and fascinated human beings. Now, take the chance to listen to a Nobel Laureate's view of the future of space travel. </span></div> <div><span style="background-color:initial"><br /></span></div> <div><a href="" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />To attend the live stream lecture, in Palmstedtsalen at Chalmers or online, please register</a><br /><span style="background-color:initial"></span><div><br /></div> <div><span style="font-weight:700;background-color:initial">Facts about the </span><span style="background-color:initial"><strong>Nobel Laureate </strong></span><span style="background-color:initial;font-weight:700">George Smoot</span><span style="background-color:initial;font-weight:700">​</span></div> <div>George Smoot was awarded the Nobel Prize in Physics in 2006, together with John Mather, &quot;for their discovery of the blackbody form and anisotropy of the cosmic microwave background radiation&quot;. His research looks back into the infancy of the Universe and attempts to gain understanding of the origin of galaxies and stars.</div> <div><br /></div> <div><span style="background-color:initial">George Smoot is an experimental astrophysicist engaged in observational astrophysics and cosmology. Smoot’s group at Lawrence Berkeley National Laboratory and the University of California at Berkeley is observing our galaxy and the cosmic background radiation that is a remnant from the fiery beginning of our Universe.</span><br /></div> <div><a href="" target="_blank">Read about the research, life and work of George Smoot</a></div> <div><br /></div> <div><span style="background-color:initial"><strong>Information about the lecture</strong><br />This Nobel Laureate Lecture is brought by </span><a href="" target="_blank">Nobel Week Dialogue 2021</a><span style="background-color:initial">, arranged by Chalmers University of Technology and University of Gothenburg. The lecture is held in English.</span><br /></div> <div><br /></div> <div>An introduction will be held by the President of Chalmers and the President of University of Gothenburg. Moderator is Adam Smith, Chief Scientific Officer at Nobel Prize Outreach.</div> <div><br /></div> <div><span style="background-color:initial">Coffee and bun will be served from 15.00, for participants onsite.</span><br /></div> <div><span style="background-color:initial"><br /></span></div> <div><span style="background-color:initial"><div>We are following the advice from the Public Health Agency of Sweden and assume that you are both symptom-free and vaccinated at the time of the event. <span style="background-color:initial">To participate on site, you will need to present a valid COVID vaccination certificate to be able to enter the venue.<br /></span><span style="background-color:initial">​</span></div></span></div> <div><span style="background-color:initial"><br /></span></div> <div><span style="background-color:initial"><div><span style="font-weight:700;background-color:initial">George Smoot​'s b</span><strong>rief abstract of the talk </strong><br />&quot;This year, 2021, was a watershed moment in space travel and in the privatization of space. We had private companies ferry astronauts to the Space Station and multiple companies taking tourists to space</div> <div>or preparing for even more, including one offering trips to the moon and back. This brings up the idea of visits to other planets, both in the solar system and to more distant worlds. Spoiler: tourists will really only be going to near Earth orbit <span style="background-color:initial">for your extra-long lifetime. However, this tourism and commercial activity is accelerating the pace of human activity in space greatly. This is changing everyone's future.&quot;</span></div></span></div> <div><br /></div> <div><br /></div></div>–-Mohammad-Al-Emrani.aspx lecture – Mohammad Al-Emrani<p></p><p>​​Applied research… from needs to implementation</p><br /><div>Welcome to attend the promotion lecture of Mohammad Al-Emrani, Professor at the Department of Architecture and Civil Engineering, Division of Structural Engineering.<br /><br />Abstract <br /></div> Steel structures have played a major role in the development of industrial societies since the early 18-century. Bridges, high-rise buildings, offshore platforms, and many other types structures have been possible to construct due to the excellent properties of steel as a building material. Steel as a material has developed substantially during the last decades. New production methods have also emerged opening for new possibilities for more industrialized manufacturing of steel structures. This is taking place in times (or as a result) of an increased awareness of the importance of more sustainable design, production, and construction methods.    <br /><br />In this lecture, I will show examples of how recent research in steel structures at Chalmers has, from emerging industrial needs and new technical advances, initiated and developed new technical solutions and supported the implementation of these solutions in industrial applications. ​ Gutkin - Promotion lecture for adjunct professor IMS<p>Virtual Development Laboratory, laboratory, Chalmers Tvärgata 4C, M-huset</p><p>​​Renaud Gutkin ​will give his promotion lecture &quot;Computational mechanics of polymers: from structure to materials, from materials to structure​&quot; for Adjunct Professor in Computational mechanics of polymer materials IMS</p><div><strong style="background-color:initial"><br /></strong></div> <div><strong style="background-color:initial">Abstract</strong><br /></div> <div>New technologies together with environmental demands are pushing the automotive industry to constantly increase their efficiency in developing new, sustainable and innovative solutions. Polymer and Composites are therefore increasingly used in demanding and tougher applications. Simulation tools and Computer Aided Engineering (CAE) are key elements in developing safer and more durable products in an efficient way. However, CAE of polymeric materials is a challenging area since polymers and composites show a wide variety of properties, mechanical responses as well as complex microstructures.</div> <div>In a first part, this lecture will look at the challenges faced to correctly analyse polymer and composites in an industrial environment and large structural models: from structure to materials. In particular, we will discuss material models and numerical methods developed to analyse structures subjected to crash or strength events but also subjected to temperature loads. Emphasis will also be made on the role experimental material characterization plays in establishing reliable models. Some challenges related to coupling analyses from process simulation, by external loads simulation and to structural simulation will presented by looking at an holistic CAE chain for temperature loads. </div> <div>In a second part, from materials to structure, we will look at how structural analysis can in its turn be used to analyse the micro or meso structure of composite materials, enabling their behaviour to be predicted and opening the way for virtual material testing.</div> <div><br /></div> <div><span style="background-color:initial"><em><img src="/SiteCollectionImages/Institutioner/IMS/Övriga/div%20nyheter%20o%20kalender/Renaud%20Gutkin/" class="chalmersPosition-FloatRight" alt="" style="margin:5px;width:400px;height:530px" /><br /><br />Renaud Gutkin works with Research &amp; Development at Volvo Cars Safety Centre and is associate professor at the division of Material and Computational Mechanics at Chalmers University of Technology. His research focuses on the structural response of polymer and composite materials. Renaud received his Ph.D. in Composite materials from Imperial College London, Department of Aeronautics, in 2010. He then worked with nonlinear finite element analysis as a post-doctoral researcher at Airbus UK. In 2011, Renaud joined Swerea|SICOMP (the Swedish institute for polymer composites) where he worked as a Senior scientist in the area of material modelling and later on as Head of the structural analysis team. </em></span><br /></div> <div><br /></div> <span style="background-color:initial">Contact:​</span><div><span style="background-color:initial"><br /></span></div> thesis defence<p></p><p>​At this last seminar this Atumn we will meet Oskar Hagvall Svensson, PhD student at the division for Engineering Education Research for his final thesis defence. ​</p><div><div><h2 class="chalmersElement-H2">Content</h2> <div>While much has been said about what is wrong with engineering education, the assumptions we make when we talk about educational problems often remain hidden. This is the case for teachers and researchers alike. One thing is clear, however: when talking about how engineering education can develop, we usually focus on using better teaching methods in order to get more learning. In this thesis, I interrogate the idea that inadequate teaching methods is what primarily stands between us and good engineers. Simultaneously, I explore an alternative hypothesis, that cultural patterns within engineering education is as much to blame – if not more – in producing educational problems. Through sharing my research undertaken in a number of different engineering classrooms, I show how both teaching methods and cultural processes may serve as barriers to engineering learning. This means that if we engineering education researchers want to help in improving engineering education, we may do well to shift our focus from teaching methods to also investigate local patterns of social interaction and shared ways of thinking. Furthermore, if we want to facilitate a more transparent discussion about educational development, we would do well to clarify the value-judgements we make when talking about what we think is wrong with engineering education.<div><span style="background-color:initial"><br /></span></div></div></div></div> – Initiativ seminar 2022<p>RunAn, conference hall, Chalmersplatsen 1, Kårhuset</p><p>​Focus on resilient production. Stay tuned, more info to come!</p>​​ Distraction and Inattention - DDI2022<p></p><p>​Welcome to the 8th International Conference on Driver Distraction and Inattention (DDI2022), which will be held in Gothenburg! The conference is arranged by SAFER Vehicle and Traffic Safety Centre at Chalmers, the Université Gustave Eiffel, and the University of New South Wales.</p>​<br />The International Conference on Driver Distraction and Inattention is the primary international event on this topic, attracting delegates from more than 20 countries.<br /><br /><div>It is designed to bring participants – from academia, industry and government – up-to-date on the developments and trends in the field of inattention and distraction in driving. The conference features keynote speakers, plenary and parallel sessions, poster exhibition and a panel dialogue with various experts, representing various disciplines in this line of research. Networking is also an important part of the conference.</div> <div><br /></div> <div>DDI2022 follows the highly successful DDI Conferences held previously in Gothenburg, Sweden (2009, 2011, 2013, 2018), Sydney, Australia (2015), France (2017) and the online conference 2021.<br /><br /></div> <div>The conference is hosted and co-organised by the SAFER Vehicle and Traffic Safety Centre at Chalmers in Sweden, the Université Gustave Eiffel, France and the University of New South Wales, Australia. All conference papers will be peer-reviewed by at least two international experts on driver distraction and inattention, all of whom are members of the conference’s Scientific Committee. The conference aim to co-operate with a high impact factor journal in producing a special issue that features selected papers from the conference – information of the specific journal will be provide before abstract submission opens.<br /><br />More information on <a href="">the conference webpage here​</a>.</div> for a New Sustainable and Flexible Energy System<p>Online</p><p>​On Wednesday, June 23, experts and companies will meet in a webinar &quot;New Energy Landscape Series Season 2 | ZEHTC: Testbed for a New Sustainable and Flexible Energy System​&quot;.</p>​​<span style="font-weight:700">​Read more and register on</span> <a href=""><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" /></a><br /><span style="background-color:initial"><br /><span style="font-weight:700">Moderator</span></span><div><ul><li>Vanessa Jeffery, Managing Director - SS&amp;A Power Consultancy</li></ul></div> <div><br /></div> <div><span style="font-weight:700">Speakers</span></div> <div><ul><li>Hans Holmstroem, Managing Director - Siemens Energy AB</li> <li>Fredrik Lundström, Program Manager - Swedish Energy Agency</li> <li>F<span style="background-color:initial">ilip</span><span style="background-color:initial"></span><span style="background-color:initial"></span><span style="background-color:initial"> Johnsson, Professor, Department of Space, Earth and Environment, Energy Technology - Chalmers University</span></li> <li>P<span style="background-color:initial">ritil</span><span style="background-color:initial"></span><span style="background-color:initial"></span><span style="background-color:initial"> Gunjan, Associate Director - Guidehouse​</span></li></ul></div>