Events: Data- och informationsteknik events at Chalmers University of TechnologyThu, 02 Apr 2020 11:47:15 +0200 Wohlrab, Computer Science and Engineering<p>Alfons, lecture hall, Forskningsgången 6, Patricia</p><p>​Living Boundary Objects to Support Agile Inter-Team Coordination at Scale</p><div>​<img src="/SiteCollectionImages/Institutioner/DoIT/Profile%20pictures/SE/Rebekka-Wohlrab.jpeg" class="chalmersPosition-FloatRight" alt="" style="margin:5px" />In software-intense systems development, teams create and integrate parts of a final product. To increase agility, teams aim to deliver their parts often and respond quickly to change. However, it is challenging to efficiently coordinate between agile teams and share important knowledge across team borders. <br /></div> <div><br />The goal of this thesis is to improve how practitioners can manage knowledge to coordinate between teams in large-scale agile development. We performed empirical studies (for example, surveys or case studies) with more than 25 companies. In this thesis, we coin the concept of living boundary objects. Boundary objects are documents, models, or other pieces of information that create a common understanding between teams. Living boundary objects are strongly connected to other documents, kept up to date, and can be used for coordination.<br /></div> <br />As examples of boundary objects, we studied architecture descriptions, interfaces, and information models. We recommend establishing living boundary objects already during early development to coordinate and align teams on a high level, but also supporting diverse practices that fulfill the individual needs of teams.<br /> Our findings help to establish knowledge management practices that are perceived as beneficial and focus on the important aspects that agile teams should coordinate around. We suggest solutions for knowledge management tools that consider the distinct role of living boundary objects and can be adjusted as organizations' needs evolve. <br /> AI Ethics: What Fiction Can Teach Us About AI Ethics<p>EA, lecture hall, Hörsalsvägen 11, EDIT trappa C, D och H</p><p>​​ Welcome to a seminar under the theme: AI ETHICS at Chalmers, with the speaker Kathryn Strong Hansen, Division of Language and Communication at the Department of Communication and Learning in Science, Chalmers</p><br /><strong class="ms-rteForeColor-2">Due to the increased concerns about the </strong><strong class="ms-rteForeColor-2">COVID-19 virus this event has been cancelled.</strong><span class="text-normal ingress"><br /></span><br />Kathy Strong Hansen will talk about the ways that fiction serves as a useful springboard to ethical reflection on AI issues by explaining her Tracks course on the same subject. In addition, she will point out some of fiction's other benefits for those in scientific and technical fields. AI Talks: Bill Dally<p>Lecture Hall Palmstedt, university building, Chalmersplatsen 2, Campus Johanneberg</p><p></p><p><br /><strong></strong></p> <p><strong><span style="color:rgb(255, 51, 0)">Due to increased concerns over the COVID-19 virus this seminar has been postponed until the fall 2020.</span><br /></strong></p> <h2 class="chalmersElement-H2">A​bout the speaker</h2> <p>Dally develops efficient hardware for demanding information processing problems and sustainable energy systems. His current projects include domain-specific accelerators for deep learning, bioinformatics, and SAT solving; redesigning memory systems for the data center; developing efficient methods for video perception; and developing efficient sustainable energy systems. His research involves demonstrating novel concepts with working systems. Previous systems include the MARS Hardware Accelerator, the Torus Routing Chip, the J-Machine, M-Machine, the Reliable Router, the Imagine signal and image processor, the Merrimac supercomputer, and the ELM embedded processor. His work on stream processing led to GPU computing. His group has pioneered techniques including fast capability-based addressing, processor coupling, virtual channel flow control, wormhole routing, link-level retry, message-driven processing, deadlock-free routing, pruning neural networks, and quantizing neural networks.</p> <p>Bio from: <a href=""></a><br /></p>ön.aspx AI Talks: Thomas Schön<p>Lecture Hall Palmstedt, university building, Chalmersplatsen 2, Campus Johanneberg</p><p>AI for research</p><p><br /><strong></strong></p> <p><strong><span style="color:rgb(255, 51, 0)">Due to increased concerns over the COVID-19 virus this seminar has been postponed until the fall 2020.</span><br /></strong></p> <p></p> <h3 class="chalmersElement-H3">​About the speaker</h3> <p>Thomas B. Schön is Professor of the Chair of Automatic Control in the Department of Information Technology at Uppsala University. He received the PhD degree in Automatic Control in Feb. 2006, the MSc degree in Applied Physics and Electrical Engineering in Sep. 2001,  the BSc degree in Business Administration and Economics in Jan. 2001, all from Linköping University. He has held visiting positions with the University of Cambridge (UK), the University of Newcastle (Australia) and Universidad Técnica Federico Santa María (Valparaíso, Chile). In 2018, he was elected to The Royal Swedish Academy of Engineering Sciences (IVA) and The Royal Society of Sciences at Uppsala. He received the Tage Erlander prize for natural sciences and technology in 2017 and the Arnberg prize in 2016, both awarded by the Royal Swedish Academy of Sciences (KVA). He was awarded the Automatica Best Paper Prize in 2014, and in 2013 he received the best PhD thesis award by The European Association for Signal Processing. He received the best teacher award at the Institute of Technology, Linköping University in 2009. He is a Senior member of the IEEE and a fellow of the ELLIS society.</p> <p>Bio from: <a href=""></a><a href=""><span style="display:inline-block"></span></a></p> AI Talks: Tony Jebara<p>Lecture Hall Palmstedt, university building, Chalmersplatsen 2, Campus Johanneberg</p><p>​Vice President of Machine Learning at Spotify.</p><p><br /><strong></strong></p> <p><strong><span style="color:rgb(255, 51, 0)">Due to increased concerns over the COVID-19 virus this seminar has been postponed until the fall 2020.</span><br /></strong></p> Workshop 2020<p>Online</p><p>The 32nd annual workshop of the Swedish Artificial Intelligence Society (SAIS) will be held as an online conference on June 16 – 17, 2020.</p><p><br /><a href="/en/centres/chair/events/sais2020/Pages/default.aspx">​Read more at the conference website</a><br /></p>