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DTSTART;TZID=Europe/Stockholm:20251205T083000
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DTSTAMP:20260514T032719
CREATED:20251128T105734Z
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UID:19301-1764923400-1764936000@wasp-hs.org
SUMMARY:PhD Defense: Mapping Small Water Channels Using Machine Learning
DESCRIPTION:Mariana Busarello defends her doctoral thesis “Mapping small water channels using machine learning” on December 5 at Swedish University of Agricultural Sciences. \nAbstract\nBoreal landscapes are shaped by a dense network of natural streams\, modified streams\, and ditches. Together\, they regulate hydrology\, nutrient transport\, and ecosystem function. Historically\, streams were modified to accommodate log transportation\, and drainage ditches were dug to improve food and timber production. Although new ditching has mostly stopped\, historical changes to the drainage network still affect forestry and water management. Small streams and ditches are the landscape’s capillaries\, but they remain poorly mapped despite their vital hydrological and ecological roles. This thesis addresses this gap in knowledge by developing a novel\, national-scale framework for mapping small streams and ditches using high-resolution topographic data and machine learning techniques. Combining convolutional neural networks\, XGBoost classification\, uncertainty quantification\, and drainage analyses\, this work identifies geomorphological and hydrological indices that distinguish streams from ditches across the landscape. The highest-performing model shows that integrating digital elevation models with terrain indices and machine learning delineates the channel networks successfully for ditches (recall=76%\, precision=88%) and moderately for natural streams (recall=58%\, precision=56%). Furthermore\, the produced uncertainty maps highlight low-certainty pixels from the background that can be used to potentially improve the mapping of streams in the future. To the best of our knowledge\, this is the first study that can separate streams and ditches on maps across an entire nation. By providing consistent\, scalable maps of small channels\, this research supports restoration prioritization\, sustainable forestry planning\, and national reporting under EU and UN environmental frameworks. The methodology also offers a reproducible approach for characterizing coupled natural-artificial drainage systems in boreal and temperate regions worldwide. \nSee full thesis. \nSupervisor\nWilliam Lidberg\, Swedish University of Agricultural Sciences \nOpponent\nChris Soulsby\, University of Aberdeen
URL:https://wasp-hs.org/event3/17481/
ATTACH;FMTTYPE=image/png:https://wasp-hs.org/wp-content/uploads/2025/11/PhD-defense-Mariana-Busarello.png
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DTSTART;TZID=Europe/Stockholm:20251208T150000
DTEND;TZID=Europe/Stockholm:20251208T160000
DTSTAMP:20260514T032719
CREATED:20250814T121748Z
LAST-MODIFIED:20250814T121748Z
UID:19282-1765206000-1765209600@wasp-hs.org
SUMMARY:AI and Society: Fresh Perspectives from PhD Graduates
DESCRIPTION:Welcome to second webinar in the AI and Society: Fresh Perspectives form PhD Graduates series! Join us as newly minted PhD students from WASP-HS Graduate School discuss their insights into the implications and entanglements of AI for society and humanity in a series of lightning talks. \nProgram\n“Conflicting Aims of Welfare Technology” Maria Arnelid\, Linköping University \n“The End of a Platform Exeptionalism”Silvia A Caretta\, Copenhagen Business School / Women in AI \n“How to Build Nice Robots”Jakob Stenseke\, Lund University \n“Transparency in Trustworthy AI”Kasia Söderlund\, Lund University \nRegistration\nRegister by 7 December to receive a zoom link. \nRegister here.
URL:https://wasp-hs.org/event3/fresh-perspectives-from-phd-graduates2/
ATTACH;FMTTYPE=image/jpeg:https://wasp-hs.org/wp-content/uploads/2025/08/8Dec2025-Salong-3logos-scaled-1.jpg
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DTSTART;TZID=Europe/Stockholm:20251216T131500
DTEND;TZID=Europe/Stockholm:20251216T150000
DTSTAMP:20260514T032719
CREATED:20251016T111540Z
LAST-MODIFIED:20251016T111540Z
UID:19298-1765890900-1765897200@wasp-hs.org
SUMMARY:AI Futures: Navigating Ethics\, Law\, and Heritage
DESCRIPTION:Please note that this event is independently organized by a WASP-HS researcher and not the WASP-HS Program Office. \nCan AI models be lawfully and ethically trained on copyrighted and cultural heritage–protected materials? This question has become one of the most pressing and contested issues in Sweden’s AI and cultural policy landscape. Recent debates between rights-holder organizations and public institutions have highlighted tensions around copyright\, lawful access\, and the future of generative AI. \nThis roundtable\, hosted by WASP-HS Research Cluster AI Futures of Culture and Memory\, WASP-HS Research Cluster The Rule of AI\, the Swedish Research Council Research Environment VOICE and the Swedish Research Council Excellence Network in Ground Breaking Technologies Culture Code at Uppsala University\, brings together experts from law\, technology\, cultural heritage\, and creative sectors to foster an informed and respectful dialogue beyond polarized public discourse. \nWhen & where: 16 December 2025\, 13:15–15:00\, Online event \nType: Workshop \nOrganiser: WASP-HS Research Cluster AI Futures of Culture and Memory\, the Swedish Research Council Research Environment VOICE and the Swedish Research Council Excellence Network in Ground Breaking Technologies Culture Code at Uppsala University \nContact person: Kailin Hatlestad \nInvited Speakers\n– Jens Västberg – Chief Legal Officer\, Riksarkivet (Swedish National Archives)– Love Börjesson – Head of KB Lab\, National Library of Sweden– Josefine Engström – Chair\, Svenska Tecknare (The association of Swedish illustrators and graphic designers) & Vice Chair KLYS (Swedish Joint Committee for Artistic and Literary Professionals)– Marijn Storm – Partner at Morrison Foerster\, involved in GPT-NL development \nEach speaker will provide a 5-minute perspective with one slide\, introducing themselves and sharing their thoughts on opportunities and challenges related to AI training on cultural heritage data. \nWho Should Attend?\nResearchers\, policymakers\, cultural heritage professionals\, rights-holder organizations\, and anyone interested in the intersection of AI\, law\, and culture. \nOrganized by:\n– Anna Foka\, Professor of Digital Humanities\, Uppsala University– Katja de Vries\, Associate Professor in Public Law\, Uppsala University \nRegistration\nTo participate is free of charge. Register here!
URL:https://wasp-hs.org/event3/ai-futures-navigating-ethics-law-and-heritage/
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