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DTSTART;TZID=Europe/Paris:20261111T090000
DTEND;TZID=Europe/Paris:20261111T170000
DTSTAMP:20261001T061509Z
CREATED:20261001T061506Z
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UID:10000390-1794387600-1794416400@wasp-sweden.org
SUMMARY:Digitalize in Stockholm 2026 — Where AI Shapes Society
DESCRIPTION:Digitalize in Stockholm 2026 gathers global thought leaders\, innovators\, researchers\, policymakers\, startups\, and industry pioneers to explore how AI and digital transformation are reshaping society. \n\n\n\nJoin us onsite at Münchenbryggeriet in Stockholm on 11 November 2026 for a full day of inspiring talks\, future-focused discussions\, breakthrough technologies\, and meaningful connections. \n\n\n\nFrom responsible AI and emerging technologies to sustainable innovation and human-centered design\, the conference highlights how digitalization can create smarter\, more inclusive\, and more resilient societies. \n\n\n\nAttendance is free of charge and hosted by Digital Futures. \n\n\n\nFind out what happened at the event in 2025 in this article Digitalize in Sthlm ’25 Explores the Era of “AI Everywhere” with links to presentations on Youtube. \n\n\n\nThe WASP Lighthouse at KTH will be present with a booth to present their research.  \n\n\n\nThe WASP Lighthouse at KTH will also be represented with a booth\, showcasing their research. \n\n\n\n\n\n\n\n\nRead more
URL:https://wasp-sweden.org/event/digitalize-in-stockholm-2026-where-ai-shapes-society/
LOCATION:Münchenbryggeriet\, Torkel Knutssonsgatan 2\, Stockholm\, 118 25 Stockholm\, Sweden
ATTACH;FMTTYPE=image/jpeg:https://wasp-sweden.org/wp-content/uploads/2026/09/digitalize-in-sthlm-2026.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20261116T100000
DTEND;TZID=Europe/Paris:20261116T130000
DTSTAMP:20261023T131713Z
CREATED:20261023T111725Z
LAST-MODIFIED:20261023T131713Z
UID:10000403-1794823200-1794834000@wasp-sweden.org
SUMMARY:PhD defense: Low-Rank Structures for Reinforcement Learning: Sample Efficiency\, Generalization\, and Representation
DESCRIPTION:Welcome to the doctoral defense of Stefan Stojanovic \n\n\n\nDate and time: November 16\, 10:00 \n\n\n\nLocation: F3 (Flodis)\, Lindstedtsvägen 26 & 28\, Stockholm and Online \n\n\n\nDoctoral student: Stefan Stojanovic \n\n\n\nTitle: Low-Rank Structures for Reinforcement Learning: Sample Efficiency\, Generalization\, and Representation \n\n\n\n\n\n\n\n\nTo defense \n\n\n\nDoctoral thesis
URL:https://wasp-sweden.org/event/phd-defense-low-rank-structures-for-reinforcement-learning-sample-efficiency-generalization-and-representation/
LOCATION:F3 Flodis\, KTH Royal Institute of Technology\, Lindstedtvägen 26\, Stockholm\, 114 28\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20261118T120000
DTEND;TZID=Europe/Paris:20261118T130000
DTSTAMP:20261106T085755Z
CREATED:20261028T081703Z
LAST-MODIFIED:20261106T085755Z
UID:10000406-1795003200-1795006800@wasp-sweden.org
SUMMARY:Explore the WASP Research Arenas (WARA)
DESCRIPTION:Did you know that as a WASP researcher or PhD student\, you can access advanced industrial platforms\, datasets\, and research infrastructures through the WASP Research Arenas (WARAs)? \n\n\n\nJoin us for a webinar where we will introduce the WARAs and show how they can support your research. Through short presentations and interactive discussions\, you will learn how the arenas enable cutting-edge research in collaboration with industry\, whether through realistic and challenging environments in which to develop\, test and demonstrate your work\, or through shared data\, infrastructure and expertise that span application domains. \n\n\n\nIf you are curious about the WASP Research Arenas and how they can support your research\, this webinar is an excellent opportunity to learn about the available resources\, collaborations\, and ways to get involved. You can choose to attend one or several sessions. \n\n\n\n\nRegister for the webinar\n\n\n\n\n\n\n\n\nIn this session we deep dive into the WASP Research Arenas: \n\n\n\n\n12.00 – 12.20 WARA Public Safety\n\n\n\n12.20 – 12.40 WARA Robotics\n\n\n\n12.40 – 13.00 WARA Operational Data\n\n\n\n\nWARA Public Safety focuses on autonomous vehicles and sensors working together in complex public safety scenarios\, including applications in air\, on land\, on water\, and underwater. The arena brings engineers\, researchers\, and users together to test relevant use cases in realistic environments. Read more. \n\n\n\nWARA Robotics focuses on manufacturing-relevant manipulation tasks in realistic environments. The arena supports research on robots that can navigate\, learn\, adapt\, and perform tasks safely and reliably. Read more. \n\n\n\nWARA Operational Data supports research on data-driven operations by bringing Swedish industry and academia together. The arena provides infrastructure for large operational datasets and enables collaboration around shared data\, challenges\, and research questions. Read more. \n\n\n\nNext session November 25\n\n\n\nNext session will be November 25 and in that session you will meet the WASP Research Arenas: WARA AI-TRICS\, WARA Medicine and WARA Media and Language.  \n\n\n\n\nMore about WASP Research Arenas
URL:https://wasp-sweden.org/event/explore-the-wasp-research-arenas-wara/
CATEGORIES:Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20261119T120000
DTEND;TZID=Europe/Paris:20261120T120000
DTSTAMP:20261109T132355Z
CREATED:20260928T135912Z
LAST-MODIFIED:20261109T132355Z
UID:10000389-1795089600-1795176000@wasp-sweden.org
SUMMARY:Women in Machine Learning Workshop 2026
DESCRIPTION:Image is AI generated.\n\n\n\nConnect\, collaborate\, and shape the future of Machine Learning. \n\n\n\nMachine Learning (ML) is at the forefront of technological development and is transforming fields ranging from healthcare and finance to security and transportation. As its influence on research\, industry\, and everyday life continues to grow\, it is increasingly important that diverse perspectives are represented in shaping its future. \n\n\n\nThe Women in Machine Learning Workshop brings together early career researchers in ML and AI. This workshop is specifically designed for women\, underrepresented gender groups\, and others with an interest in machine learning and increasing diversity in AI research. It creates a space to connect\, exchange ideas\, gain inspiration\, and build a stronger and more inclusive ML community. \n\n\n\nWhether you are new to Machine Learning or already working in the field\, the workshop offers an opportunity to meet researchers and students\, learn from invited speakers\, discuss experiences and ideas\, and discover ongoing research. \n\n\n\nThe workshop is organized as a lunch-to-lunch event and will include invited talks\, research presentations\, demonstrations\, discussions\, networking opportunities\, and a poster session. \n\n\n\nVenuesAda Lovelace\, House B\, Floor 2\, Linköping University MazeMapZero\, Zenit\, Floor 2\, Linköping University  MazeMap \n\n\n\nWho can participate? \n\n\n\nThe workshop is centered on women in Machine Learning and aims to support greater gender diversity in the field. We welcome participants who share this goal\, with a particular focus on women and underrepresented gender groups. \n\n\n\nThe workshop is especially relevant for students\, researchers\, and professionals who are interested in Machine Learning\, Artificial Intelligence\, Computer Vision\, Data Science\, and related technical fields. Participants at all stages\, from those who are new to the field to experienced researchers and practitioners\, are warmly welcome. \n\n\n\nNo specific level of experience is required. Whether you would like to learn\, share your work\, meet others in the community\, or simply explore opportunities in Machine Learning\, we encourage you to join us. \n\n\n\nInvited speakers\n\n\n\n\n\n\n\n\n\n\n\nEricka Johnson\, Deputy Head of the Department of Thematic Studies (TEMA)\, Linköping University\n\n\n\nTitle: GenAI and world-building with synthetic data \n\n\n\nAbstract: Synthetic data is used to assure privacy\, create portable data\, address data imbalances\, and amplify small datasets. But what is synthetic data? What does it represent? And is this even a relevant question? In this talk\, I will show you results from our experiments making synthetic tabular data\, discuss our work with data repositories trying to document it\, and open for a discussion on how domain experts from various fields are using it.     \n\n\n\nBio: Ericka Johnson is Professor of gender and society\, Linköping University\, Sweden\, and director of the Swedish national graduate school for the Wallenberg AI\, autonomous systems and software program – Humanity and Society. Her research focuses on how data represent the worlds and objects they claim to describe\, with a special interest in medical data. She has an interdisciplinary background in sociology\, gender studies\, and science & technology studies. Johnson is the author of several monographs and anthologies\, including How that Robot Made Me Feel (MIT Press 2025)\, and the recent Big Data & Society article (with Lee & Hajisharif) ‘The Ontological Politics of Synthetic Data’\, in which she details intersectional hallucinations. She is a member of the Royal Swedish Academy of Sciences.  \n\n\n\n\n\n\n\n\n\n\n\n\n\nEkta Vats\, Assistant Professor and Vice-Chair of WASP Diversity and Inclusion Group (DIG)\, Uppsala University\n\n\n\nTitle of talk: Teaching Multimodal AI to Know What It Doesn’t KnowAbstract: Modern AI systems increasingly need to reason across several kinds of data at once\, such as text\, images and video\, and to do so reliably in settings where mistakes carry real costs. This talk presents ongoing research on multimodal learning\, covering methods that combine vision and language\, and applications ranging from handwritten text recognition and the recovery of hidden text in historical manuscripts to problems in the life sciences. A recurring theme is trust: a model that confidently gets things wrong is often worse than one that admits it is unsure. We will show how uncertainty quantification can give multimodal models that kind of self-awareness\, and discuss what remains open.Bio: Ekta Vats is an Assistant Professor in Machine Learning and Docent in Computerised Image Processing at the Department of Information Technology\, Uppsala University\, and a Beijer Researcher at the Beijer Laboratory for Artificial Intelligence Research. Her research focuses on multimodal learning\, vision-language models and video-LLMs\, with applications spanning the life sciences and cultural heritage\, including multispectral imaging to uncover hidden texts in old manuscripts. She is a member and vice-chair of the WASP Diversity and Inclusion Group. \n\n\n\n\n\n\n\n\n\n\n\n\n\nLena Klasén\, Adjunct Professor\, Linköping UniversityTitle of talk: Using AI in Forensics \n\n\n\nAbstract: Digitalisation creates new forms of traces and growing volumes of information for criminal investigations. AI can help investigators search and compare digital traces\, forensic reports and witness accounts. Interactive 3D models place this information in the context of the crime scene. This talk follows our work from lidar-based crime scene documentation to interactive digital twins. Modelling human actions and visualising possible sequences of events help investigators and courts examine accounts\, test alternative explanations and understand complex material. A cold-case murder investigation shows how a large language model can support questions about documentary material alongside a 3D reconstruction. It also illustrates how question wording\, source selection and model errors can influence the answers and their interpretation. We examine what responsible AI use requires\, including validation\, traceability\, visible uncertainties and documented human review. The distinction between what AI suggests and what the expert concludes must remain clear. In court\, we must be able to explain what we did\, how we checked the results and why we considered them reliable. \n\n\n\nCV Dr. Lena Klasén: Dr. Lena Klasén is Adj. Professor in Digital Forensics at Information Coding (ICG)\, Department of Electrical Engineering\, Linköping University\, Sweden\, since 2020. She has been Senior Expert at Santa Anna IT Research Institute since May 2026\, and a co-founder of Digital Forensics Sweden. From 2015 to 2018 she was Director of the Swedish National Forensic Centre (NFC) and part of the National Police Commissioner’s strategic and operational top management teams. She then served as Director of Research at the Swedish Police Authority’s Department of National Operations. Dr. Klasén holds a PhD in Image Coding from Linköping University. She has led industrial and research organisations and held senior roles at Saab AB\, the Swedish Defence Research Agency (FOI)\, the Swedish Defence Materiel Administration (FMV)\, the Swedish National Laboratory of Forensic Science (SKL) and the Implementing Committee of the New Police Organisation at the Swedish Ministry of Justice. Her industrial experience includes product portfolio management at Saab\, three patents\, and founding and co-founding several innovative companies. She has served as a forensic expert in major investigations\, including the Waco investigation for the US Department of Justice. She is a Fellow of the Royal Swedish Academy of Engineering Sciences (IVA) and the Royal Swedish Academy of War Sciences. \n\n\n\n\n\nProgram\n\n\n\nWomen in ML programDownload\n\n\n\nContact\n\n\n\nThe workshop is organized by representatives from Linköping University\, in collaboration with WASP Diversity and Inclusion Group. \n\n\n\nFor questions about the workshop\, registration\, or participation\, please contact: \n\n\n\nAmanda Berg\, amanda.berg@liu.se.
URL:https://wasp-sweden.org/event/women-in-machine-learning-workshop-2026/
LOCATION:Linköping University\, Campus Valla\, Olaus Magnus väg\, Linköping\, 583 30\, Sweden
CATEGORIES:Workshop
ATTACH;FMTTYPE=image/png:https://wasp-sweden.org/wp-content/uploads/2026/09/women-in-ml.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20261120T091500
DTEND;TZID=Europe/Paris:20261120T121500
DTSTAMP:20261106T115559Z
CREATED:20261106T115557Z
LAST-MODIFIED:20261106T115559Z
UID:10000410-1795166100-1795176900@wasp-sweden.org
SUMMARY:PhD defense: Linearly Scalable Control and Estimation
DESCRIPTION:Welcome to the doctoral defense of David Ohlin \n\n\n\nDate and time: November 20\, 9:15 \n\n\n\nLocation: Lecture Hall M:A\, building M\, Ole Römers väg 1F\, Faculty of Engineering LTH\, Lund University\, Lund. The dissertation will be live streamed\, but part of the premises is to be excluded from the live stream. \n\n\n\nDoctoral student: David Ohlin \n\n\n\nTitle: Linearly Scalable Control and Estimation \n\n\n\n\n\n\n\n\nTo defense\n\n\n\nDoctoral thesis
URL:https://wasp-sweden.org/event/phd-defense-linearly-scalable-control-and-estimation/
LOCATION:Lecture Hall M:A\, Building M\, Ole Römers väg 1F\, Lund\, 223 63\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20261125T120000
DTEND;TZID=Europe/Paris:20261125T130000
DTSTAMP:20261106T093602Z
CREATED:20261028T091015Z
LAST-MODIFIED:20261106T093602Z
UID:10000407-1795608000-1795611600@wasp-sweden.org
SUMMARY:Explore the WASP Research Arenas (WARA)
DESCRIPTION:Did you know that as a WASP researcher or PhD student\, you can access advanced industrial platforms\, datasets\, and research infrastructures through the WASP Research Arenas (WARAs)? \n\n\n\nJoin us for a webinar where we will introduce the WARAs and show how they can support your research. Through short presentations and interactive discussions\, you will learn how the arenas enable cutting-edge research in collaboration with industry\, whether through realistic and challenging environments in which to develop\, test and demonstrate your work\, or through shared data\, infrastructure and expertise that span application domains. \n\n\n\nIf you are curious about the WASP Research Arenas and how they can support your research\, this webinar is an excellent opportunity to learn about the available resources\, collaborations\, and ways to get involved. You can choose to attend one or several sessions. \n\n\n\nIn this session we deep dive into the WASP Research Arenas: \n\n\n\n\n12.00 – 12.20 WARA AI-TRICS\n\n\n\n12.20 – 12.40 WARA Medicine\n\n\n\n12.40 – 13.00 WARA Media and Language\n\n\n\n\n\nRegister for the webinar\n\n\n\n\n\n\n\n\nWARA AI Training and Inference Compute at Scale (AI-TRICS) will bring researchers and industry into close collaboration\, focusing on real‑world data\, systems\, and challenges where both advanced research and powerful computing capacity are required to drive progress. \n\n\n\nWARA Medicine connects Swedish academia and the pharmaceutical industry across the pharmaceutical value chain\, from drug discovery and development to manufacturing\, supply chains\, and commercialization. \n\n\n\nWARA Media and Language builds a multidisciplinary ecosystem around AI for human-facing modalities such as text\, speech\, images\, and video. The arena gives researchers access to media data and models\, along with the benchmarks\, engineering support\, and legal guidance needed to use them responsibly. \n\n\n\n\nMore about the WASP Research Arenas
URL:https://wasp-sweden.org/event/explore-the-wasp-research-arenas-wara-2/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://wasp-sweden.org/wp-content/uploads/2026/10/WARA-loggor-5.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20261127T091500
DTEND;TZID=Europe/Paris:20261127T121500
DTSTAMP:20261106T115947Z
CREATED:20261106T115945Z
LAST-MODIFIED:20261106T115947Z
UID:10000411-1795770900-1795781700@wasp-sweden.org
SUMMARY:PhD defense: Efficient inference and adaptation in deep learning : from edge systems to large language models
DESCRIPTION:Welcome to the doctoral defense of Baichuan Huang \n\n\n\nDate and time: November 27\, 9:15 \n\n\n\nLocation: Lecture Hall E:1406\, building E\, Klas Anshelms väg 10\, Faculty of Engineering LTH\, Lund University\, Lund. The dissertation will be live streamed\, but part of the premises is to be excluded from the live stream. \n\n\n\nDoctoral student: Baichuan Huang \n\n\n\nTitle: Efficient inference and adaptation in deep learning : from edge systems to large language models \n\n\n\n\n\n\n\n\nTo defense\n\n\n\nDoctoral thesis
URL:https://wasp-sweden.org/event/phd-defense-efficient-inference-and-adaptation-in-deep-learning-from-edge-systems-to-large-language-models/
LOCATION:Lecture Hall E:1406\, Building E\, Anshelms väg 10\, Lund\, 223 63\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20261201T090000
DTEND;TZID=Europe/Paris:20261201T193000
DTSTAMP:20261028T104002Z
CREATED:20261016T065233Z
LAST-MODIFIED:20261028T104002Z
UID:10000400-1796115600-1796153400@wasp-sweden.org
SUMMARY:Hackathon: AI agents transforming life sciences\, medicine\, and healthcare
DESCRIPTION:Join us on 1 December 2026 for a hackathon focused on developing AI agents for applications in life sciences\, medicine and healthcare. There is a lot happening in the agentic AI sphere right now\, and many people have great ideas or knowledge that can be exchanged. We hope that during this event we can build interesting things together\, share knowledge with each other\, and network. \n\n\n\nThe hackathon is open to members of the SciLifeLab\, DDLS and WASP communities and is jointly organised by SciLifeLab\, WASP Research Arena WARA Medicine and the DDLS Cell and Molecular Biology research area. \n\n\n\nEveryone is welcome to join\, whether you have a specific idea for something to build or you simply want to join and build together with others. In the registration form we will ask you to share interests or propose ideas for a project\, and we will do our best to create teams based on the ideas and interests. If you have already formed a team with which you will work\, you can indicate this in the registration form. There will also be opportunities to form or adjust teams at the beginning of the day.  \n\n\n\nDuring the hackathon\, participants will get API keys to access Claude and open weight models hosted by SciLifeLab. We will also facilitate hosting of your tools on the SciLifeLab Kubernetes cluster if needed.We will start the day with breakfast and pitches of various ideas (pre-submitted or spontaneous). We will end the day with pizza for everyone. We can accept up to 70 participants. If you have questions or suggestions\, get in touch with us: datacentre@scilifelab.se \n\n\n\n\nRegister here\n\n\n\n\nRegister before November 20 (17:00).  \n\n\n\n\n\n\n\nCancellation\n\n\n\nTo help us minimise empty seats and food waste\, please cancel your registration if you are no longer able to attend the event. If a waiting list is active\, this will allow us to offer your place to another participant. Timely cancellations also help us avoid unnecessary costs for refreshments and lunch.If you have questions or suggestions\, please get in touch with us: datacentre@scilifelab.se
URL:https://wasp-sweden.org/event/hackathon-ai-agents-transforming-life-sciences-medicine-and-healthcare/
LOCATION:Samuelssonsalen\, Tomtebodavägen 6\, Karolinska Institutet\, Tomtebodavägen 6\, Stockholm\, 171 65\, Sweden
CATEGORIES:Workshop
ATTACH;FMTTYPE=image/png:https://wasp-sweden.org/wp-content/uploads/2026/10/ROBOT-VERSION-image-768x432-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20261201T130000
DTEND;TZID=Europe/Paris:20261201T170000
DTSTAMP:20261026T070450Z
CREATED:20261023T112636Z
LAST-MODIFIED:20261026T070450Z
UID:10000404-1796130000-1796144400@wasp-sweden.org
SUMMARY:PhD defense: Unmasking the Unknown: Addressing Anomalies for Trustworthy AI
DESCRIPTION:Welcome to the doctoral defense of Anindya Sundar Das \n\n\n\nDate and time: December 1\, 13:00 \n\n\n\nLocation: TBD \n\n\n\nDoctoral student: Anindya Sundar Das \n\n\n\nTitle: Unmasking the Unknown: Addressing Anomalies for Trustworthy AI \n\n\n\n\n\n\nTo defense
URL:https://wasp-sweden.org/event/phd-defense-unmasking-the-unknown-addressing-anomalies-for-trustworthy-ai/
LOCATION:Aula Biologica\, Umeå University\, Linnaeus väg 7\,\, Umeå\, 907 36\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20261201T150000
DTEND;TZID=Europe/Paris:20261201T163000
DTSTAMP:20261028T123258Z
CREATED:20261022T082725Z
LAST-MODIFIED:20261028T123258Z
UID:10000402-1796137200-1796142600@wasp-sweden.org
SUMMARY:Academic freedom under pressure - perspectives on diversity\, inclusion and AI
DESCRIPTION:Zoom\n\n\n\n\n \n\n\n\nMartin Peterson speaks as students and faculty gather to support academic freedom on the campus of Texas A&M University in College Station\, Texas\, on January 29\, 2026. Photo: Jason Fochtman/Houston Chronicle via Getty Images\n\n\n\n \n\n\n\nWelcome to a digital event arranged by the WASP Diversity and Inclusion Group (DIG) with Martin Peterson\, Professor of Philosophy at Southern Methodist University\, Texas. \n\n\n\nMartin Peterson’s research focuses on AI ethics\, the ethics of technology\, normative ethics and decision theory\, with a particular interest in the philosophical questions raised by emerging technologies. \n\n\n\nBefore joining Southern Methodist University\, Peterson was Professor of Philosophy at Texas A&M University from 2014 to 2026. He has also held academic positions at Eindhoven University of Technology and the University of Cambridge. \n\n\n\nWhen Martin Peterson was prevented from teaching passages from Plato’s Symposium at Texas A&M in 2026\, the case made headlines around the world. Drawing on this experience and his work as Chair of the Academic Freedom Council at Texas A&M\, Peterson will explore academic freedom\, institutional censorship and the ethical choices available to scholars facing unreasonable restrictions. He also reflected on the case in his 2026 episode of Swedish Radio’s Sommar i P1 (see external links under Read more). \n\n\n\nThe talk will be followed by a conversation with Ericka Johnson\, Professor in Gender and Society at Linköping University. Participants will have an opportunity to submit questions during the talk via Q&A. \n\n\n\n\nDate and time: 1 December\, 15.00-16.30\n\n\n\nVenue: This is a digital event\, please find the Zoom link at the top of this page. \n\n\n\n\nThe event is open to the public\, and no registration is required. Mark your calendars and join the conversation! \n\n\n\nProgram\n\n\n\n \n\n\n\nPart 1: Plato and the Ethics of Permissible Resistance\n\n\n\nGuest: Martin Peterson  \n\n\n\nThis talk is based on Martin Peterson’s personal experience as Chair of the Academic Freedom Council at Texas A&M University (2024–2026). He considers the following question: How should students and faculty respond to institutional censorship? Using Texas A&M’s decision to censor Plato as a case study\, he identifies four possible responses: anticipatory obedience\, civil disobedience\, malicious compliance\, and what he calls dissenting compliance. Anticipatory obedience—conforming to perceived expectations before being explicitly required to do so—is morally problematic because it reinforces and extends censorship. Civil disobedience\, while admirable in many political contexts\, may be less justifiable in academia when its expected benefits are small compared with the substantial personal and professional risks. Malicious compliance avoids capitulation but depends on deliberately disruptive\, bad-faith adherence to rules. Peterson argues instead for dissenting compliance: complying with institutional policies while explicitly and publicly expressing principled disagreement with them. Ideally undertaken with a light touch and\, at times\, humor\, dissenting compliance can expose unreasonable constraints without sacrificing professionalism.  \n\n\n\nPart 2: Academic censorship in the age of AI\n\n\n\nGuest: Martin Peterson \n\n\n\nModerator: Ericka Johnson\, Professor in Gender and Society\, Linköping University \n\n\n\nConversation with Martin Peterson and Ericka Johnson\, followed by a Q&A.  \n\n\n\nRead more\nMartin Peterson’s website\n\n\n\nMartin Peterson in Sommar i P1\, Swedish Radio (in Swedish)\n\n\n\nThe New York Times coverage of the case\n\n\n\nWASP Diversity and Inclusion Group
URL:https://wasp-sweden.org/event/dig-webinar-with-martin-peterson/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/jpeg:https://wasp-sweden.org/wp-content/uploads/2026/10/Jason-Fichtman-Houston-Chronicle-via-Getty-Images.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20261202T080000
DTEND;TZID=Europe/Paris:20261203T170000
DTSTAMP:20261102T115150Z
CREATED:20260911T094237Z
LAST-MODIFIED:20261102T115150Z
UID:10000381-1796198400-1796317200@wasp-sweden.org
SUMMARY:WARA Robotics Challenge 2026
DESCRIPTION:The WARA Robotics Challenge 2026 brings together students and researchers to tackle real industrial robotics problems inspired by assembly and logistics scenarios at Volvo. The challenge focuses on Physical AI\, with tasks centered on autonomous navigation and robotic pick-and-place in a realistic factory environment at Volvo Future Factory\,CampX\, Gothenburg. Final demonstrations will take place on 2–3 December 2026. \n\n\n\nOfficial registration is now closed. Thank you to all teams who signed up for the WARA Robotics Challenge 2026. All registered teams have been contacted privately at the email addresses provided during registration. If you believe you have not received any communication\, please reach out to us directly. \n\n\n\nDo not hesitate to contact us if you have any questions or would like further information! \n\n\n\n \n\n\n\n\n\nProgram\n\n\n\n2 December – Challenge Demonstrations and Jury Evaluation \n\n\n\n9:00-12:00 Team presentations and live demonstrations of four challenge solutionsLunch break13:00-16:00 Team presentations and live demonstrations of four challenge solutions16:00-16:30 Evaluation by an expert jury comprising representatives from academia and industry\, \n\n\n\nSelection of the three highest-ranked contributions \n\n\n\n3 December – Final Presentations \n\n\n\n9:30 Industrial keynotes10:00-11:30 Presentations and demonstrations from the three selected finalist teams11:30 Announcement of the challenge results and the best solution12:00 lunch \n\n\n\n\n\n\nRead more
URL:https://wasp-sweden.org/event/wara-robotics-challenge-2026/
LOCATION:CampX South\, Prästvägen 8\, Gothenburg\, 418 75\, Sweden
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20261202T120000
DTEND;TZID=Europe/Paris:20261202T130000
DTSTAMP:20261109T103006Z
CREATED:20261109T102605Z
LAST-MODIFIED:20261109T103006Z
UID:10000413-1796212800-1796216400@wasp-sweden.org
SUMMARY:WASP and WASP-HS Food for Thought: Cybersecurity
DESCRIPTION:Welcome to the WASP and WASP-HS’ lunch webinar series Food for Thought.  \n\n\n\nQ&A – welcome to submit your questions throughout the session.  \n\n\n\n \n\n\n\nDate and time: 2 December\, 12-13 \n\n\n\nTheme: Cybersecurity \n\n\n\nGuests: TBA \n\n\n\nLocation: Zoom TBA \n\n\n\n \n\n\n\nAbout Food for Thought\n\n\n\nArtificial intelligence is driving important discussions across research\, industry\, policy\, and society. Many of these discussions span disciplinary boundaries\, raising questions that benefit from both technical expertise and insights from the humanities and social sciences. \n\n\n\nTo encourage dialogue across the WASP and WASP-HS communities\, we are launching Food for Thought\, a monthly lunch webinar series exploring current AI-related topics from both technical and human perspectives. Each session brings together researchers from across the WASP and WASP-HS ecosystem to share insights\, challenge assumptions\, and spark new conversations. \n\n\n\nBring your lunch\, listen to the discussions and post your questions in the webinar Q&A.
URL:https://wasp-sweden.org/event/wasp-and-wasp-hs-food-for-thought-cybersecurity/
CATEGORIES:Webinar
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20261214T090000
DTEND;TZID=Europe/Paris:20261214T120000
DTSTAMP:20261023T113112Z
CREATED:20261023T113110Z
LAST-MODIFIED:20261023T113112Z
UID:10000405-1797238800-1797249600@wasp-sweden.org
SUMMARY:PhD defense: Towards More Informed Representations for Sensor-Based Human Activity Recognition
DESCRIPTION:Welcome to the doctoral defense of Francisco Miguel Calatrava Nicolás \n\n\n\nDate and time: December 14\, 09:00 \n\n\n\nLocation: Hörsal L2\, Långhuset\, Örebro University and Online \n\n\n\nDoctoral student: Francisco Miguel Calatrava Nicolás \n\n\n\nTitle: Towards More Informed Representations for Sensor-Based Human Activity Recognition \n\n\n\n\n\n\nTo defense\n\n\n\nDoctoral thesis
URL:https://wasp-sweden.org/event/phd-defense-towards-more-informed-representations-for-sensor-based-human-activity-recognition/
LOCATION:L2\, Långhuset\, Örebro University\, Fakultetsgatan 1\, Örebro\, Sweden
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