Events: Data- och informationsteknikhttp://www.chalmers.se/sv/om-chalmers/kalendariumUpcoming events at Chalmers University of TechnologyThu, 15 Apr 2021 22:49:25 +0200http://www.chalmers.se/sv/om-chalmers/kalendariumhttps://www.chalmers.se/en/departments/cse/calendar/Pages/event-vetenskapsfestivalen-.aspxhttps://www.chalmers.se/en/departments/cse/calendar/Pages/event-vetenskapsfestivalen-.aspxHow do you fight an ongoing pandemic with the help of computers?<p>Online</p><p>​​Meet prominent researchers and leading experts in a panel debate on covid modeling and simulation.</p><div>How does Covid-19 spread in society and what measures are most effective in checking the spread of infection? This question has been discussed by researchers, authorities and politicians. Everyone is looking for quick and effective solutions to stop the pandemic that continues to spread around the world.</div> <div><span style="background-color:initial"><br /></span></div> <div><span style="background-color:initial">To understand the spread of infection and how it can best be checked, advanced computer simulation and computational models are used. Yet many predictions have proven to be incorrect in retrospect.</span></div> <div><span style="background-color:initial"><br /></span></div> <div><span style="background-color:initial">W</span><span style="background-color:initial">hy has it been so difficult to simulate the spread of Covid-19? What lessons can we draw, and how will tomorrow's technology help us prevent and plan for future pandemics?</span></div> <div><br /></div> <div>On Sunday 18 April, <span style="background-color:initial">during the International Science Festival Gothenburg,</span><span style="background-color:initial"> </span><span style="background-color:initial"> the Department of Computer and Information Technology at Chalmers will host a panel discussion on Covid modeling with leading experts in the field </span></div> <span></span><div></div>https://www.chalmers.se/en/centres/chair/events/Pages/AI-Ethics-online-with-Roberto-Zicari.aspxhttps://www.chalmers.se/en/centres/chair/events/Pages/AI-Ethics-online-with-Roberto-Zicari.aspxAI Ethics online: What did we learn in assessing Trustworthy AI in practice?<p>Online, Zoom</p><p>AI Ethics Online with Roberto Zicari, from Goethe University Frankfurt.​</p>Started January 2019, a team of International researchers started to develop a process to assess Trustworthy AI in practice, called Z-inspection. <span style="background-color:initial">So f</span><span style="background-color:initial">ar, the process has been used to as​sess AI systems in healthcare. In this talk Roberto will report the main lessons learned in assessing several use cases for trustworthy AI in healthcare, namely:</span><div><img src="/en/centres/chair/events/Documents/RAlcatraz-1.png" alt="Roberto Zacari" class="chalmersPosition-FloatRight" style="margin:0px 40px;width:203px;height:142px" /><br /><span style="background-color:initial">– AI for predicting Cardiovascular Risks</span></div> <div><span style="background-color:initial">– Machine learning and supportive tool to recognize cardiac arrest in emergency calls </span></div> <div><span style="background-color:initial">– Deep learning based Skin Lesion Classifiers</span></div> <div><span style="background-color:initial"><br /></span></div> <div> <span style="background-color:initial">​​</span><span style="background-color:initial">​</span><span style="background-color:initial">​Starting march 2021 will work on this new use case: Deep Learning for predicting a multi-regional score conveying the degree of lung compromise in COVID–19 patients.<span></span></span><br /></div> <div><br /></div> <a href="https://ui.ungpd.com/Surveys/79f457c4-94b0-423b-ad12-be775825a9fc"><div>Link to registration</div> </a><div>Zoom link will be sent out to registered participants.<br /></div> <div><br /></div> <div><div>Most AI Ethics-seminars are available on Youtube.</div> <div><a href="https://www.youtube.com/channel/UC_4mfkM2YV94f-P4n81l-Bg" target="_blank">https://www.youtube.com/channel/UC_4mfkM2YV94f-P4n81l-Bg</a></div></div> ​​​​​https://www.chalmers.se/en/centres/chair/events/Pages/AI-Ethics-Seminar-with-Kathryn-Strong-Hansen.aspxhttps://www.chalmers.se/en/centres/chair/events/Pages/AI-Ethics-Seminar-with-Kathryn-Strong-Hansen.aspxAI Ethics Seminar with Kathryn Strong Hansen and Olle Häggström<p>Online Zoom</p><p>​AI Ethics Seminar with Kathryn Strong Hansen, senior lecturer in language and communication at the Department for Communication and Learning in Science at Chalmers</p><strong>​<br />A conversation about the book Tänkande maskiner</strong><p>Kathryn Strong Hansen will speak with <span>Olle</span> Häggström about his new book Tänkande maskiner: Den artificiella intelligensens genombrott, released in April 2021. While the book is in Swedish, this conversation will be done in English. </p> <p><a href="https://ui.ungpd.com/Surveys/7ca67e1e-cf76-40cd-9be3-cfec5e20067b" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Link to registration.</a></p> <p>Zoom link will be sent out to registered participants.</p> <p><span style="background-color:initial">Most AI Ethics Seminars are available on youtube. </span><br /></p> <p><a href="https://www.youtube.com/channel/UC_4mfkM2YV94f-P4n81l-Bg" target="_blank">https://www.youtube.com/channel/UC_4mfkM2YV94f-P4n81l-Bg</a><span style="background-color:initial"> </span></p> <p>​</p>https://www.chalmers.se/en/departments/cse/calendar/Pages/licentiate-seminar-Dragule-Swaib.aspxhttps://www.chalmers.se/en/departments/cse/calendar/Pages/licentiate-seminar-Dragule-Swaib.aspxLicentiate seminar Dragule Swaib, Computer and Science Engineering<p>Online</p><p>​Programming Robots for Activities of Everyday Life</p>​Link to publication and zoom-link to seminar: <a href="https://research.chalmers.se/publication/523113">https://research.chalmers.se/publication/523113</a>https://www.chalmers.se/en/departments/cse/calendar/Pages/licentiateseminar-Dragule-Swaib.aspxhttps://www.chalmers.se/en/departments/cse/calendar/Pages/licentiateseminar-Dragule-Swaib.aspxLicentiate seminar Dragule Swaib<p>Online</p><p>​Programming Robots for Activities of Everyday Life</p>​Link to publication and link to seminar: <a href="https://research.chalmers.se/publication/523113">https://research.chalmers.se/publication/523113</a>https://www.chalmers.se/en/centres/chair/events/Pages/CHAIR-event-Horizon-Europe-Calling.aspxhttps://www.chalmers.se/en/centres/chair/events/Pages/CHAIR-event-Horizon-Europe-Calling.aspxCHAIR webinar: Horizon Europe Calling<p>Online, Zoom</p><p>​A webinar on opportunities for AI research in the upcoming European Framework Programme.</p><p><br /></p> <p><span style="font-weight:700"><a href="https://ui.ungpd.com/Surveys/0034e6be-58d1-4a52-9569-13d2fb9a681b" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Link to registration</a></span></p> <span style="background-color:initial">Zoom link will be sent out to registered participants.</span><strong>​</strong><div><strong><br /></strong></div> <div>Come listen to an inspirational webinar about opportunities for AI research in the new European Framework Program – Horizon Europe! This webinar is hosted by CHAIR, Chalmers AI Research Centre and led by Magnus Andersson, <span>Finance E</span><span>xpert at IMCG International, who will introduce and walk you thorugh the largest R&amp;I programme in Horizon Europe. For example:</span></div> <div><span> </span><div><ul><li><span style="background-color:initial">When and how to enter</span></li> <li><span style="background-color:initial">When it will be relevant</span></li> <li>Relevant AI calls</li> <li><span style="background-color:initial">Details on 2021 and early 2022</span></li> <li>Horizon Europe CHAIR support<span style="background-color:initial"> <br /></span></li></ul> <div><br /></div></div> <div><p><span style="background-color:initial">Kasper Moth Poulsen, professor of Chemistry and Chemical Engineering and head of Division Applied Chemistry at Chalmers,</span> will be joining the webinar to present his Horizon journey, lessons learned and highlights. Kasper is coordinating Molecular Solar Thermal Energy Storage Sytems, a 4.2 M€ Horizon 2020 project, aimed at developing and demonstrating a zero-emission solar energy storage system based on benign, all-renewable materials.</p></div> <div>​<br /></div> <div><strong>About the speaker</strong></div> <div><span lang="EN-US" style="background-color:initial"><span>Magnus Andersson</span> is co-owner and co-founder of the innovation company </span><span lang="EN-US" style="background-color:initial">IMCG – Impact Management Consulting Group. Magnus has in the past two decades worked as manager, coordinator and business development leader for 50+ large international and national R&amp;I projects and programmes within Machine Learning, Sustainable Cities, </span><span style="background-color:initial">E</span><span style="background-color:initial">nergy and Transport and mobility as well as Cities and Buildings, including the design </span><span style="background-color:initial">and development of three Lighthouse projects, CELSIUS, IRIS, SharingCities. </span></div> <img src="/en/centres/chair/news/Documents/Namnlös.jpg" alt="Magnus_Andersson.jpg" class="chalmersPosition-FloatLeft" style="margin-top:10px;margin-bottom:10px;margin-left:0px;height:223px;font-weight:700;width:159px" /><span style="font-weight:700"></span> <div><span style="background-color:initial"><br /><br /></span></div> <div><span></span><div><span style="background-color:initial"><br /></span></div></div></div> ​https://www.chalmers.se/en/centres/chair/events/Pages/AI-Sweden-Partner-Days.aspxhttps://www.chalmers.se/en/centres/chair/events/Pages/AI-Sweden-Partner-Days.aspxAI Sweden Partner Days<p>Onliine</p><p>For the third time around, AI Sweden will be inviting partners and potential partners to join them for a full three days on everything AI! During the afternoons, AI Sweden will give the floor to partners to invite you all to join their presentations and workshops. The full agenda coming soon.​</p><span>AI Sweden are inviting partners and potential partners to join them for a full three days on everything AI! By showcasing partners’ work - pointing to tangible use cases, exciting results and how to engage within the AI ecosystem - AI Sweden want you to leave not just feeling inspired but determined to take the next step on your AI journey. Deep diving into the business side of AI, the revolution of data, and the new era of algorithms, we will show you some of the tools for making it happen. </span><div><span><br /></span></div> <div><span><a href="https://www.ai.se/en/events/ai-sweden-partner-days" target="_blank">Go to AI Sweden website </a>for more information and registration.</span></div>https://www.chalmers.se/en/areas-of-advance/health/calendar/Pages/GRSHE-seminar-Ana-Nordberg.aspxhttps://www.chalmers.se/en/areas-of-advance/health/calendar/Pages/GRSHE-seminar-Ana-Nordberg.aspxSeminar: Legal and ethical aspects to consider in medical research and healthcare?<p>Zoom</p><p>This is a seminar arranged by ​Gothenburg Research School of Health Engineering, in collaboration between Chalmers and Sahlgrenska Academy / Sahlgrenska University Hospital.​​​</p><strong>​<br />Speaker: Ana Nordberg, Associate senior lecturer, Department of Law, Lund University.<br /></strong><span style="background-color:initial"><br />Innovation in healthcare is to a large extent dependent and driven by data. Developing and using news tools, including AI and automated systems requires large amounts of health and health related personal data. A number of important ethical, legal and social issues have to be considered.</span><div>Who, if anyone, owns the data? What is data protection? What is personal data? What are the major legal obligations regarding data? Do patients have rights regarding their data? Is it enough to follow the law? What type of ethical and social aspects should be taken into consideration?</div> <div>This seminar will provide a basic introduction to legal issues and broader ethical and social discussions regarding AI and data.</div> <div><h2 class="chalmersElement-H2"><div><a href="https://docs.google.com/forms/d/e/1FAIpQLSc2n9Bhi0X8fUZS4-wFezQGIbqWKmB4was5FGwtkcxvBpRCNQ/viewform">​Register here​</a>.</div> <p></p></h2> <p class="chalmersElement-P"><span>This seminar will be held on Zoom. A link will be sent out before the seminar after registration. The seminar is free of charge.<br /></span><span style="background-color:initial"><br />Ta</span><span style="background-color:initial">rget group: PhD student and other researchers at Chalmers, Sahlgrenska Academy at Gothenburg University and Sahlgrenska University Hospital working with health and engineering.<br /></span><span style="background-color:initial"><br />T</span><span style="background-color:initial">his seminar is part of a seminar series arranged by the new Gothenburg Research School of Health Engineering, a joint research school for PhD students working with collaborative projects between Chalmers and Sahlgrenska Academy. The seminars will take place once a month and includes areas that link health and technology to innovation, utilisation, ethics, and AI.<br /></span><span style="background-color:initial"><br />The seminars are open for all researchers at Chalmers and GU/SA.​</span></p></div> https://www.chalmers.se/en/centres/chair/events/Pages/WAIN21-Workshop-on-AI-Engineering-.aspxhttps://www.chalmers.se/en/centres/chair/events/Pages/WAIN21-Workshop-on-AI-Engineering-.aspxWAIN'21 1st Workshop on AI Engineering<p>Virtual</p><p>​During the 43rd International Conference on Software Engineering (ICSE21) the 1st Workshop on AI Engineering – Software Engineering for AI – will be arranged.</p><br /><div>In development and implementation of AI-based systems , the main challenge is not to develop the best models/algorithms, but to provide support for the entire lifecycle – from a business idea, through collection and management of data, software development managing both data and code, product deployment and operation, and to its evolution. There is a clear need for specific support of Software Engineering for AI. </div> <br /><div>The aim of the workshop is to bring together researchers and practitioners in software engineering, in data-science and AI, and to build up a community that will target the new challenges emerging in Software Engineering that AI/data-science engineers and software engineers are facing in development of AI-based systems. The workshop will be highly interactive: In addition to the invited keynotes and short paper presentations, there will be several discussion sessions. We plan to combine local and remote participation.</div> <div><br /></div> <div><a href="https://conf.researchr.org/home/icse-2021/wain-2021">Go to the website</a> for information about the call for submissions and to find out more about topics of interest. Submission deadline is January 12 2021. <br /></div> <div><br /></div>https://www.chalmers.se/en/centres/chair/events/Pages/QUO-VADIS-AI-Ethics-workshop.aspxhttps://www.chalmers.se/en/centres/chair/events/Pages/QUO-VADIS-AI-Ethics-workshop.aspxQUO VADIS, AI ETHICS?<p>Onine Zoom</p><p>​The effect of artificial intelligence (AI) on society and our lives is already profound, and is likely to increase further. This can be for better or worse, and therefore it is of vital importance that an ethics perspective permeates all development, deployment and use of AI systems. How can this best be achieved? This is a question for society-at-large as well as for a tech-heavy university like Chalmers, and the purpose of this workshop is to address it and shed light on it.  Link to registration.</p><strong>​</strong><span><strong>Detailed schedule and programme:</strong></span><br /><br /><span><strong>13:15-13:20</strong> Welcome and introduction <span> </span></span><br /><span><strong>13:20-14:00</strong><span><strong> </strong></span></span>Markus Anderljung<span>: Institutionalizing ethics in AI through broader impact requirements </span><br /><span><strong>14:00-14:40</strong><span> </span></span>Charlotte Stix and Matthijs Maas<span>: Bridging the gap: the case for an ‘Incompletely Theorized Agreement’ on AI policy</span><br /><span><strong>14:40-15:00</strong> Break </span><br /><span><strong>15:00-15:40</strong><span> </span></span>Mohamed Abdalla<span>: The Grey Hoodie Project: Big Tobacco, Big Tech, and the threat on academic integrity <span> </span></span><br /><span><strong>15:40-15:50</strong> Break </span><br /><span><strong>15:50-16:50</strong> Panel discussion, with Anderljung, Stix, Maas and Abdalla, along with<span> </span></span>Moa Johansson<span><span> </span>(moderator)  <span> </span></span><br /><span> </span><br /><span><strong>Links to papers that the talks will be based on:</strong></span><div><span><a href="https://www.nature.com/articles/s42256-021-00298-y" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Anderljung</a></span></div> <div><span><a href="https://link.springer.com/article/10.1007/s43681-020-00037-w" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Stix and Maas</a> </span></div> <div><span><a href="https://arxiv.org/abs/2009.13676" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Abdalla</a></span></div>https://www.chalmers.se/en/areas-of-advance/health/calendar/Pages/GRSHE-seminar-Polesie-and-Heckemann.aspxhttps://www.chalmers.se/en/areas-of-advance/health/calendar/Pages/GRSHE-seminar-Polesie-and-Heckemann.aspxSeminar: Artificial intelligence in health care<p>Zoom</p><p>Will the value match the hype or are we expecting another AI winter? This is a seminar arranged by ​Gothenburg Research School of Health Engineering, in collaboration between Chalmers and Sahlgrenska Academy at the University of Gothenburg and Sahlgrenska University Hospital. ​</p><br /><strong>​Speakers:</strong><br /><strong>Sam Polesie, MD, PhD, Department of Dermatology and Venereology, Gothenburg Univeristy and Region Västra Götaland</strong><div><div><strong>Rolf Heckemann, Professor, Department of Radiation Physics, Gothenburg University and MedTech West</strong></div></div> <div><br /><div><div>This seminar offers a reflection on potential obstacles from research results to clinical implementation of machine learning derived solutions. <span style="background-color:initial">Rolf Heckemann</span><span style="background-color:initial"> and Sam Polesie</span><span style="background-color:initial"> will give a brief background to their research projects,</span><span style="background-color:initial"> and discuss implementation hurdles they have identified along their paths. </span><div><br /></div> <div>Participants in this interactive seminar will be asked to share their input and reflections using online polling tools.</div></div> <h2 class="chalmersElement-H2"><a href="https://forms.gle/N1txFaaKr1awaHh67">Register here.​</a></h2></div></div> <div><div>This seminar will be held on Zoom. A link will be sent out before the seminar after registration. The seminar is free of charge.​<br /><br /><div>Target group: PhD student and other researchers at Chalmers, Sahlgrenska Academy at Gothenburg University and Sahlgrenska University Hospital working with health and engineering.<br /><br /></div> <div></div> <div>This seminar is part of a seminar series arranged by the new Gothenburg Research School of Health Engineering, a joint research school for PhD students working with collaborative projects between Chalmers and Sahlgrenska Academy. The seminars will take place once a month and includes areas that link health and technology to innovation, utilisation, ethics, and AI.</div> <div></div> <div><br /></div> <div></div> <div>The seminars are open for all researchers at Chalmers and GU/Sahlgrenska Academy.<br />For question, please contact <a href="mailto:malin.barman@chalmers.se">Malin Barman</a> or <a href="mailto:justin.schneiderman@neuro.gu.se">Justin Schneiderman</a>, coordinators of the Gothenburg Research School of Health Engineering.</div></div></div> <div><br /></div>