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DTSTART;TZID=Europe/Oslo:20260121T120000
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DTSTAMP:20260420T043649
CREATED:20251217T103311Z
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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
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DTSTART;TZID=Europe/Oslo:20260130T111500
DTEND;TZID=Europe/Oslo:20260130T160000
DTSTAMP:20260420T043649
CREATED:20260119T124814Z
LAST-MODIFIED:20260119T132516Z
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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
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