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DTSTART;TZID=Europe/Stockholm:20250905T100000
DTEND;TZID=Europe/Stockholm:20250905T130000
DTSTAMP:20260514T062756
CREATED:20250829T124414Z
LAST-MODIFIED:20250829T124414Z
UID:19286-1757066400-1757077200@wasp-hs.org
SUMMARY:PhD Defence: Health Data Governance in the Age of Digital Health: Legal Approaches of the EU and China
DESCRIPTION:Zhicheng He defends his doctoral thesis\, “Health Data Governance in the Age of Digital Health: Legal Approaches of the EU and China” at Stockholm University. \nSee event page. \nAbstract\nThis dissertation explores how legal frameworks in the EU and China respond to the growing tension between the use of health data and the protection of privacy in the digital health era. As technologies such as AI\, wearable devices\, and health-monitoring sensors increasingly reshape the delivery of care\, legal systems face mounting pressure to support data-driven innovation while upholding individual rights. Through a comparative legal analysis of key instruments such as the EU’s GDPR\, European Health Data Space (EHDS) Regulation\, and China’s Personal Information Protection Law\, the study examines how each jurisdiction regulates health data\, defines the legal bases for its use\, and integrates privacy-enhancing technologies like anonymisation. In doing so\, it aims to generate insights into how law can address the shared global challenge posed by the dual demands of innovation and privacy in a society striving for better health. \nSee full thesis. \nSupervisor\nZamboni\, Mauro\, ProfessorGreenstein\, Stanley\, Associate ProfessorKampel\, Martin\, Doctor \nOpponent\nTuomas Pöysti\, former Chancellor of Justice\, Finland
URL:https://wasp-hs.org/event3/phd-defence-health-data-governance-in-the-age-of-digital-health-legal-approaches-of-the-eu-and-china/
ATTACH;FMTTYPE=image/jpeg:https://wasp-hs.org/wp-content/uploads/2025/08/PhD-defence-Zicheng-He.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20250916T163000
DTEND;TZID=Europe/Stockholm:20250916T173000
DTSTAMP:20260514T062756
CREATED:20250825T121846Z
LAST-MODIFIED:20250825T121846Z
UID:19283-1758040200-1758043800@wasp-hs.org
SUMMARY:Webinar with Patrick Hynes about HAI
DESCRIPTION:Welcome to an engaging seminar featuring Patrick Hynes\, Senior Manager of Research Communities at the Stanford Institute for Human-Centered AI (HAI). Patrick will present an overview of HAI’s mission and vision\, and explore in detail its activities across research\, education\, and policy.  \nThe discussion will offer examples of funded research projects\, showcase some of HAI’s policy briefings\, and spotlight some of the multi-stakeholder workshops and conferences that HAI has held in order to address the pressing challenges and opportunities posed by the extraordinary advances witnessed in AI.  \nThe seminar is a fantastic opportunity for WASP-HS PhD students interested in upcoming postdoc opportunities at Stanford University. \nRead more about HAI.\n\n			\n				\n				\n				\n				\n				Registration\nPlease register below no later than September 14 to attend the webinar. A zoom link will be sent to all who have registered.
URL:https://wasp-hs.org/event3/webinar-with-patrick-hynes-about-hai/
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DTSTART;TZID=Europe/Stockholm:20250917T090000
DTEND;TZID=Europe/Stockholm:20250917T120000
DTSTAMP:20260514T062756
CREATED:20250910T145157Z
LAST-MODIFIED:20250910T145157Z
UID:19289-1758099600-1758110400@wasp-hs.org
SUMMARY:PhD Defense: Fact and Ideology in the Machine: Modelling Knowledge and Belief in Neural Models from Text
DESCRIPTION:Denitsa Saynova defends her doctoral thesis\, “Fact and Ideology in the Machine: Modelling Knowledge and Belief in Neural Models from Text” on September 17 at Chalmers University of Technology. \nSee event page. \nAbstract\nThis thesis explores questions of knowledge\, language\, and neural network models. Motivated by an increasing need for insight into complex political and social science phenomena\, we study how methods within natural language processing (NLP) can help us gain such insight. With a particular focus on a model’s knowledge\, how it is structured\, and how we can access and assess it\, we study two important aspects of NLP models. \nFirst\, we investigate their capabilities and limitations\, focusing on how they can capture political and social signals. We use embedding models to capture and reveal distinctions in policy and ideology in Swedish political parties\, discussing the strengths and drawbacks of the approach. We also investigate the presence of more complex social knowledge in large pre-trained language models. We prompt models to produce synthetic samples of responses to social science experiments and access if effects calculated from the synthetic data can be used to predict a study’s replicability. A central limitation we find in these studies is the lack of robustness\, which we explore in depth by studying what influences model consistency in a more simplified setting\, namely\, recalling facts. \nSecond\, we aim to bridge the gap between the model and the domain expert by developing and improving interpretability insights of model behaviour. We develop a method for aggregating class-level explanations for a text classifier and demonstrate its utility in the context of Swedish political texts. We also develop the understanding of how models store and access factual information. We propose a taxonomy of possible language model behaviours for fact completion and\, based on our novel testing data set\, examine internal knowledge structures using established mechanistic interpretability methods. \nSee full thesis. \nSupervisors\nOpponent\nDirk Hovy\, Professor\, Bocconi University
URL:https://wasp-hs.org/event3/phd-defence-fact-and-ideology-in-the-machine-modelling-knowledge-and-belief-in-neural-models-from-text/
ATTACH;FMTTYPE=image/jpeg:https://wasp-hs.org/wp-content/uploads/2025/09/PhD-defense-Denitsa-Saynova.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20250926T101500
DTEND;TZID=Europe/Stockholm:20250926T170000
DTSTAMP:20260514T062756
CREATED:20250910T095349Z
LAST-MODIFIED:20250910T095349Z
UID:19288-1758881700-1758906000@wasp-hs.org
SUMMARY:PhD Defence: Online Content Moderation: The Regulatory Continuum from EU Regulation to Platform Self-Regulation
DESCRIPTION:Silvia A. Carretta defends her doctoral thesis\, “Online Content Moderation: The Regulatory Continuum from EU Regulation to Platform Self-Regulation” on September 26 at Uppsala University. \nSee event page. \nAbstract\nIn today’s digital landscape\, users generate a staggering amount of content every minute. Some of this content poses serious legal challenges\, including terrorist propaganda\, copyright-infringing works\, hate speech and disinformation. Online platforms are under growing pressure to moderate such content. They must comply with legal obligations to remove illegal content or risk liability\, while remaining free to exercise discretion in enforcing private moderation policies to restrict lawful content they deem incompatible with their Terms and Conditions. This dual role raises pressing legal and societal questions about the balance between public regulation and the growing influence of private actors in governing online speech. \nThis book investigates how content moderation is regulated within the European Digital Single Market. While public regulation has been widely debated\, there is a lack of insight into how the public and private regulatory spheres interact in this context. The study frames the issue within two complementary dimensions: the Regulation “of” platforms\, involving binding legislative acts which mandate the removal of illegal content (most notably the Digital Services Act)\, and the Regulation “by” platforms\, private governance mechanisms comprising co-regulatory initiatives beyond state-mandated obligations\, self-regulation practices\, and private rule-making embedded in online platforms’ Terms and Conditions. \nThe analysis is structured around the concept of a regulatory continuum and follows a theoretical classification of three modes of regulation: regulation stricto sensu\, co-regulation and self-regulation. It is a pioneering study that systematically maps policy variables and governance instruments across each mode. Through selected case studies of major online platforms\, the study innovatively examines how public and private regulatory frameworks interact\, overlap and sometimes conflict in shaping platform and content governance across the regulatory continuum. \nA timely and rigorous analysis\, this study critically reflects on the Digital Services Act’s transformative impact on platform accountability and digital governance. It demonstrates that the two dimensions – Regulation “of” platforms and Regulation “by” platforms – should not be viewed as a dichotomy between public and private governance but as part of a dynamic\, multi-actor regulatory process in the governance of the digital landscape. \nSee full thesis. \nSupervisors\nSandra Friberg\, Associate ProfessorAnna-Sara Lind\, ProfessorMagnus Strand\, Associate Professor \nOpponent\nMika Viljanen\, Professor
URL:https://wasp-hs.org/event3/phd-defence-online-content-moderation-the-regulatory-continuum-from-eu-regulation-to-platform-self-regulation/
ATTACH;FMTTYPE=image/jpeg:https://wasp-hs.org/wp-content/uploads/2025/09/PhD-defence-Silvia-A-Carretta.jpg
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