BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//MediaFutures - ECPv6.15.13.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:MediaFutures
X-ORIGINAL-URL:https://mediafutures.no
X-WR-CALDESC:Events for MediaFutures
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Oslo
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20270328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20271031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20260105T080000
DTEND;TZID=Europe/Oslo:20260109T170000
DTSTAMP:20260510T083458
CREATED:20251001T085428Z
LAST-MODIFIED:20251001T085428Z
UID:21635-1767600000-1767978000@mediafutures.no
SUMMARY:Winter School at the Northern Lights Deep Learning (NLDL) Conference
DESCRIPTION:MediaFutures associate professor Samia Touileb will be speaker at the Winter School at the Northern Lights Deep Learning (NLDL) Conference 2026!  \nThe NLDL Winter School consists of tutorials by experts in the field and is co-hosted by NORA as part of the NORA Research School. \nFor registration\, please use https://www.nldl.org/attend/registration \nGetting formal ECTS Credits: UiT The Arctic University of Norway will award 5 ECTS for the Winter School to students who register formally for the course (the number of spots is limited to 40 students).   \n\n\nTo register for the 5 ECTS credits use the following link: https://en.uit.no/admission#kapittel_735916 \n\n\nThe course description and the course code are available at: https://uit.no/utdanning/emner/emne/862218/fys-8603 \n\n\nPlease note that the application deadline is 15 November\, which means that you will receive a confirmation of admission a week after the deadline\, i.e.\, 25 November. \n\n\nFor credits\, the participants are required to present an ongoing research project (poster presentation) as part of the winter school and complete a home exam afterward. For students early in their PhD without an ongoing research project can present their PhD research objective and future project as a poster.  \n\n\nNote that the poster presentation is part of the NLDL Winter School and not part of the NLDL proceedings. The posters should be in A0 Portrait format. \n\n\nPosters can be printed locally via Xtenso. If you want to use this service\, the poster should be sent to mette@xtenso.no by 20th December. The cost for poster printing is 750 NOK.  \n\n\nTouilebs research focuses on alignment\, bias and fairness in NLP\, information extraction\, summarization\, and the application of NLP and machine learning in social science contexts. Her tutorial will address the main sources of bias in NLP systems\, existing frameworks for fairness\, safety concerns\, and current debates about alignment: \nTutorial 4: Ethical challenges in NLP\nWhile AI systems have shown remarkable progress in recent years they raise various ethical challenges. In this tutorial\, we will explore this ethical dimension with a particular focus on bias\, fairness\, and alignment in Natural Language Processing (NLP). The tutorial will combine theoretical discussions with practical examples. We will discuss the main sources of bias in NLP systems\, existing frameworks for fairness\, safety concerns\, and current debates about alignment. We will have a practical\, hands-on\, session to demonstrate how bias and other safety concerns manifest in modern NLP models\, and how to critically evaluate them and reduce them. 
URL:https://mediafutures.no/event/winter-school-at-the-northern-lights-deep-learning-nldl-conference/
LOCATION:UiT Campus
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/1757313623101.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20260120T080000
DTEND;TZID=Europe/Oslo:20260121T170000
DTSTAMP:20260510T083458
CREATED:20251008T095107Z
LAST-MODIFIED:20251017T102040Z
UID:21712-1768896000-1769014800@mediafutures.no
SUMMARY:Bridging AI and Behavior Change (ABC)
DESCRIPTION:MediaFutures director professor Christoph Trattner together with an international team organises a bridge event at the world leading AI conference AAAI in Singapore next January. Read how you can submit a paper below. \nThe event Bridging AI and Behavior Change (ABC) brings together the AI and behavioral science communities to address the urgent need for responsible\, explainable\, and effective behavior-aware technologies. With the rapid rise of LLM\, generative AI\, reinforcement learning\, and agentic systems capable of shaping human decisions\, this bridge aims to establish common ground between technical innovation and behavioral science theories of decision-making\, nudging\, and motivation. Their objective is to catalyze sustained collaboration across AI\, psychology\, behavioral economics\, digital health\, sustainability\, and public policy\, enabling the design of ethical and transparent interventions for health\, well-being\, sustainability\, and civic engagement. \nKey themes include:\n\npersonalization vs. public interest\nboundaries of responsible nudging\nintervention design and adaptive/optimal treatment assignment\nevaluation frameworks for long-term behavior change\, habit formation\, and mental health/wellness\nbias and equity in algorithmic decision-making\nethics\, transparency\, and compliance with emerging regulations (e.g.\, EU AI Act)\ncross-domain applications in health\, sustainability\, education\, social media interventions\, and civic participation\nreinforcement learning for efficient exploration\npsychological science foundations\nand the development of shared protocols\, datasets\, recommender systems\, and explanation frameworks for trustworthy\, behavior-aware AI.\n\nThe ABC Bridge is a 1-day in-person program combining education\, collaboration\, and outreach:\n\nEducation (Morning): Tutorials introducing behavioral science for AI researchers and AI methods for behavioral scientists; a hands-on case lab on AI-driven nudging.\nCollaboration (Afternoon): Paper and poster presentations; debate on “Can AI nudge responsibly without manipulation?”; breakout groups co-developing draft Responsible Nudging Guidelines.\nOutreach (Closing): A plenary summary panel and a motivational talk at the AAAI main conference to communicate the Bridge’s vision and recommendations to the broader AI community.\n\nWe anticipate 30–50 participants\, including AI/ML researchers\, behavioral scientists\, ethicists\, HCI scholars\, public health experts\, and early-career researchers. \nSubmission requirements\nWe invite Short (2–4 pages)\, Long (4–8 pages)\, Vision (4–6 pages)\, Position (2–4 pages)\, and Demo (2–4 pages) papers or extended abstracts highlighting interdisciplinary research\, position statements\, or case studies relevant to responsible AI and behavior change. Submissions will be reviewed by the bridge committee. \nSubmission site information https://easychair.org/my/conference?conf=aaai2026abc \nBridge Chair \n\nMehrdad Rostami\, University of Oulu\, Finland – mehrdad.rostami@oulu.fi ·\nChristoph Trattner (University of Bergen\, Norway) – christoph.trattner@uib.no ·\nAlexander Felfernig (Graz University of Technology\, Austria) – alexander.felfernig@tugraz.at ·\nMichael Sobolev (Cedars-Sinai Medical Center / USC\, USA) – msobolev@usc.edu ·\nMourad Oussalah (University of Oulu\, Finland) – mourad.oussalah@oulu.fi
URL:https://mediafutures.no/event/bridging-ai-and-behavior-change-abc/
LOCATION:Singapore
CATEGORIES:Call for papers
ATTACH;FMTTYPE=image/png:https://mediafutures.no/wp-content/uploads/Frame-137-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20260121T120000
DTEND;TZID=Europe/Oslo:20260121T130000
DTSTAMP:20260510T083458
CREATED:20251217T103311Z
LAST-MODIFIED:20260119T125453Z
UID:22161-1768996800-1769000400@mediafutures.no
SUMMARY:Adhera Health Seminar: AI as Family Media for Health and Wellbeing: Personalization\, Context\, and Biopsychosocial Perspectives
DESCRIPTION:MediaFutures invites to Adhera Health’s seminar on AI as family media for health and wellbeing. \nAdhera Health is a digital health company that creates AI-powered\, personalized support platforms and programs to empower families and caregivers managing pediatric chronic conditions\, improve treatment adherence and wellbeing\, and enhance health outcomes through evidence-based digital interventions. \nAI as Family Media for Health and Wellbeing: Personalization\, Context\, and Biopsychosocial Perspectives\n\nAbstract\nFamilies today must navigate a complex landscape of health and wellbeing information\, often facing waves of misinformation and conflicting guidance. Artificial intelligence can act as a media and communication technology that supports families in interpreting information\, building trust\, and making informed decisions\, while respecting individual and family-level differences. \nModern personalized health communication increasingly relies on context-aware systems that adapt content to family routines\, beliefs\, and emotional dynamics. Such systems must carefully balance challenges including reducing stigma\, respecting the autonomy of different family members\, and delivering sensitive content that addresses diverse needs and perspectives. These systems integrate clinical data\, psychosocial factors\, and personal preferences to generate adaptive\, multimodal educational materials\, behavioral guidance\, and emotional support.  \nA biopsychosocial perspective is central\, recognizing that effective AI-mediated interventions consider biological\, psychological\, and social dimensions of health. Pediatrics represents a prime testing ground for these approaches\, given the need for sensitive\, high-stakes communication and the limited research on AI-mediated personalized family support in this context.  \nDrawing on ongoing research with Adhera Health (USA and Spain) and the University of Bergen\, we present examples of AI-mediated communication that complement human care\, helping families navigate complex health information responsibly\, foster trust\, and support wellbeing in ethically and emotionally informed ways.  \nSpeaker bio\nLuis Fernández-Luque is Chief Scientific Officer at Adhera Health\, where he leads R&D activities in Spain and the USA\, including projects funded by the European Commission and NIH\, as well as partnerships with healthcare providers and pharmaceutical companies across Europe and the United States.  \nSince 2006\, Luis has conducted pioneering research in mobile health\, wearable devices\, and AI-driven health applications\, including deep learning and health recommender systems. His work sits at the intersection of computer science and behavioral change\, combining human factors research with AI to deliver personalized\, trustworthy\, and effective digital health interventions. He has led and contributed to international research projects on diabetes and obesity in adult and pediatric populations across Europe\, North America\, and Asia. He earned his PhD at the University of Tromsø\, exploring strategies to identify trustworthy content for people with chronic conditions\, and collaborated during his PhD with GroupLens (University of Minnesota)\, the CDC\, and Microsoft Research.  \nLuis has extensive experience in research management\, including serving as PI and co-PI on large-scale projects and mentoring PhD students. He is a senior member of the IEEE Engineering in Medicine and Biology Society and has held leadership roles in top scientific societies. He has authored over 150 publications\, many of which address the intersection of AI\, behavioral science\, and digital health in chronic disease management. 
URL:https://mediafutures.no/event/adhera-health-seminar-ai-as-family-media-for-health-and-wellbeing-personalization-context-and-biopsychosocial-perspectives/
LOCATION:MediaFutures\, Media Futures HQ\, 3rd floor\, Bergen\, 5008
CATEGORIES:Events,Seminar
ATTACH;FMTTYPE=image/png:https://mediafutures.no/wp-content/uploads/Frame-131-2.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20260130T111500
DTEND;TZID=Europe/Oslo:20260130T160000
DTSTAMP:20260510T083459
CREATED:20260119T124814Z
LAST-MODIFIED:20260119T132516Z
UID:22360-1769771700-1769788800@mediafutures.no
SUMMARY:Linguistic representations and their role in the era of LLMs
DESCRIPTION:We are pleased to invite you to the trial lecture and public defence of Huiling You\, PhD candidate at SFI MediaFutures. \nDate: 30 JanuaryVenue: Kristen Nygaards sal (5370)\, Ole-Johan Dahls hus\, University of Oslo \nTime:\n11:15 Trial lecture\n13:15 Disputation \nPhD thesis:Event Extraction from News: Resources\, Methods and Application \nTrial lecture:Linguistic representations and their role in the era of LLMs \nMain research findings:\nIn an era of information overload\, transforming unstructured news into structured knowledge is a fundamental challenge for natural language processing. Event extraction\, the process of identifying specific occurrences and the people or organizations involved\, is essential for tracking global developments and detecting emerging crises. By automating these processes\, we can significantly improve the efficiency of news analysis and the consistency of information tracking across diverse media landscapes. \nThis thesis advances both the methodologies and resources available for event extraction in the news domain. The research shifts from treating events as isolated labels toward representing them as unified semantic graphs that capture the full context of how entities and events interact. To address the gap in support for smaller languages\, the work introduces new annotated datasets and investigates generative AI techniques that excel in settings where training data is limited. \nThe findings demonstrate that these sophisticated models produce more detailed and accurate representations of complex news narratives than traditional approaches. Additionally\, the thesis shows how this structured analysis can be applied to evaluate and improve the factual consistency of automated news summaries. Ultimately\, this research offers a robust framework for building more reliable and linguistically inclusive systems for global news monitoring. \nAdjudication committee: \n\nProfessor Antske Fokkens\, Vrije Universiteit Amsterdam\, The Netherlands\nProfessor Marco Kuhlmann\, Linköping University\, Sweden\nProfessor Martin Giese\, Department of Informatics\, University of Oslo\, Norway\n\nSupervisors: \n\nProfessor Lilja Øvrelid\, University of Oslo\, Norway\nProfessor Erik Velldal\, University of Oslo\, Norway\nAssociate Professor Samia Touileb\, University of Bergen\, Norway\n\nChair of defence: \n\nAssociate Professor Ellen Munthe-Kaas\, Department of Informatics\, University of Oslo
URL:https://mediafutures.no/event/linguistic-representations-and-their-role-in-the-era-of-llms/
LOCATION:Kristen Nygaards sal (5370)\, Ole-Johan Dahls hus\, University of Oslo
CATEGORIES:Events
ATTACH;FMTTYPE=image/png:https://mediafutures.no/wp-content/uploads/HuilingYouPhD.png
END:VEVENT
END:VCALENDAR