Podcasts about Gudrun

In dieser bewegenden Episode der Gedankenrevolution spricht Gudrun Schönhofer über das tiefe menschliche Bedürfnis nach Sicherheit – besonders in einer Zeit, die von globalen Krisen, gesellschaftlicher Spaltung und technologischem Wandel geprägt ist. Gudrun analysiert, wie äußere Unsicherheiten wie Kriege, KI-Entwicklung, Klimakrise und mediale Dauerbeschallung unser inneres Sicherheitsgefühl erschüttern – und zeigt gleichzeitig Wege auf, wie wir wieder zu Stabilität und Klarheit finden können. Sie beleuchtet die Rolle der Medien, die Wirkung von "Cancel Culture", und die psychologischen Auswirkungen auf unser Selbstbild und unsere Meinungsfreiheit. Anhand von Beispielen aus ihrer Beratung und Geschichte(n) aus vergangenen Jahrzehnten, wie den Songs Heal the World und Ein bisschen Frieden, lädt sie ein, neue Räume für Dialog, Differenzierung und Mitgefühl zu schaffen.

In dieser bewegenden Episode von Gedankenrevolution spricht Gudrun Schönhofer über ein Thema, das persönlicher kaum sein könnte – die Rückkehr der Wehrpflicht. Was bedeutet Pflicht in einer Zeit, in der Freiheit und Selbstverwirklichung höchste Werte sind? Und was heißt Sicherheit in einer Welt, die nach innerem Frieden sucht? Mit systemischer Klarheit, politischem Tiefgang und menschlicher Wärme beleuchtet Gudrun das Spannungsfeld zwischen Militärdienst und Mitgefühl. Sie stellt unbequeme, aber notwendige Fragen:

In dieser nachdenklichen Episode von Gedankenrevolution spricht Gudrun Schönhofer über ein Thema, das technologische und spirituelle Ebenen miteinander verbindet: Ist Prompten das neue Beten? Ausgehend von einem persönlichen Kindheitserlebnis im Regen nimmt Gudrun uns mit auf eine gedankliche Reise durch die Welt der KI, der inneren Ausrichtung und der spirituellen Kommunikation. Dabei stellt sie provokante Fragen: Kann KI ein Spiegel unseres Bewusstseins sein? Ist das Prompten eine moderne Form des Gebets? Was bedeutet es, klare Wünsche und Ziele zu formulieren? Gudrun erklärt, warum klare Sprache und bewusste Gedanken nicht nur in der Arbeit mit KI entscheidend sind, sondern auch in der bewussten Gestaltung unseres Lebens. Sie stellt ihr neues Format „Gedankenpromter“ vor – eine Einladung, sich durch strategisches Prompten persönlich weiterzuentwickeln und die eigene Zukunft aktiv zu gestalten. Ein inspirierender Impuls für alle, die Technik nicht nur nutzen, sondern mit ihr wachsen wollen.

Was bedeutet es eigentlich zu "heilen"? Wie verändert sich das Leben? Und was machen Heiler wirklich?In diesem Interview berichtet Trainerin und Heilerin, Gudrun Felbinger, von ihrem persönlichen Weg und wie sich ihr Leben durch Heilarbeit verändert hat.Höre rein, wenn du wissen möchtest, wie auch du Heilarbeit für dich nutzen kannst.Du möchtest mehr darüber erfahren?

“Det at abortere, er syet ind i mit forhold til ventetøj”. Journalist, sanger og forfatter Gudrun Marie Schmidt har netop udgivet bogen ”Sting, saks, begær”. Her undersøger hun hvordan vores tøjvalg bla. kan signalere magt, sorg, forelskelse og forventning. Og netop den gravide krops forventningsfulde ventetøj, får en særlig plads i ugens samtalen, da Anne Linnets ”Forårsdag” bliver sat på. Den sang blev nemlig skrevet 18 år før den blev udgivet. Og ligesom Anne Linnet, så har Gudrun Marie Schmidt også siddet på en vigtig tekst i tæt på 20 år. Hør hvad det er for en tekst i ugens Portrætalbum, hvor du også kan blive klogere på, hvordan Anne Linnets album ”Jeg er jo lige her”, har været med til at forme Gudrun Marie Schmidt som menneske, journalist, musiker og forfatter. Udsendelse nr.: 176 Vært: Anders Bøtter Klip og lyddesign: Emil Germod Redaktør: Michelle Mølgaard Andersen Produceret af: Bowie-JettSee omnystudio.com/listener for privacy information.

In der heutigen Folge spricht Gudrun Schönhofer über die versteckten Mechanismen hinter dem allgegenwärtigen „Du musst“. Warum reagieren wir so empfindlich auf diesen einen Satz? Was passiert neurologisch und emotional in uns, wenn wir das Gefühl haben, unter Druck gesetzt zu werden? Gudrun zeigt, wie stark Sprache wirkt – besonders, wenn sie an unbewusste Programme rührt: unsere sogenannten LABUs – Limitierungen, Ansichten, Bewertungen und Urteile. Sie erklärt, wie sich diese durch verschiedene Ebenen – pränatale Prägung, unbewusste Imitation und sogar genetische Vererbung – tief in unserem System verankern. Anhand praktischer Beispiele, auch aus ihrer pferdegestützten Coaching-Arbeit, und durch ihre Root-Finder-Methode, lädt Gudrun dazu ein, eine neue Rhetorik zu wählen – eine, die Freiheit, Erkenntnis und Selbstwirksamkeit in den Mittelpunkt stellt. Diese Episode ist eine Einladung zur Reflexion: Was musst du wirklich – und wer sagt das?

In der 49. Folge von Grundsatz spricht Gerhard Jelinek mit Alexander Vesely-Frankl, dem Enkel von Viktor Frankl, und der Nationalratsabgeordneten Gudrun Kugler über die Frage, was Freiheit heute bedeutet – besonders in einer Zeit, in der viele Menschen nach Orientierung suchen und unter psychischem Druck stehen. Dabei geht es vor allem um die Lehren der Logotherapie. Vesely erklärt, dass wir zwar nicht alle Umstände unseres Lebens beeinflussen können, aber immer die Freiheit haben, wie wir damit umgehen. Im Gespräch wird deutlich, dass Freiheit nicht bloß Unabhängigkeit bedeutet, sondern mit Verantwortung einhergeht. Im Gespräch erinnert Gudrun Kugler an eine Rede von Viktor Frankl aus dem Jahr 1988, in der er davor warnte, dass nicht jedes Mittel durch ein gutes Ziel gerechtfertigt werden darf. Sie betont, dass Politik nicht nur Ziele verfolgen, sondern auch darauf achten müsse, wie diese erreicht werden. Wichtig sei außerdem, dass die Politik Rahmenbedingungen schafft, die Menschen dazu ermutigen, selbst Verantwortung zu übernehmen – zum Beispiel durch Zugang zu Bildung, Sicherheit oder einer guten digitalen Infrastruktur. Statt Menschen abhängig zu machen, solle Politik ihnen helfen, eigenständig zu leben. Beide Gäste sehen den starken Anstieg psychischer Erkrankungen als Hinweis darauf, dass vielen Menschen ein tieferer Lebenssinn fehlt. Politik könne diesen Sinn nicht vorgeben, aber sie kann Möglichkeiten schaffen, in denen Menschen ihren eigenen Weg finden. Freiheit brauche nicht nur Raum, sondern auch Haltung – und die Bereitschaft, Verantwortung zu übernehmen – für sich selbst und für andere.

Was bedeutet es eigentlich zu "heilen"? Wie verändert sich das Leben? Und was machen Heiler wirklich?In diesem Interview berichtet Trainerin und Heilerin, Gudrun Felbinger, von ihrem persönlichen Weg und wie sich ihr Leben durch Heilarbeit verändert hat.Höre rein, wenn du wissen möchtest, wie auch du Heilarbeit für dich nutzen kannst.Du möchtest mehr darüber erfahren?

In der heutigen Folge spricht Gudrun Schönhofer über das Phänomen der „Masken der Niedertracht“ – eine tiefgehende Analyse von emotionalem Missbrauch, psychischer Gewalt und narzisstischer Manipulation. Inspiriert vom gleichnamigen Buch der französischen Psychoanalytikerin Marie-France Hirigoyen beleuchtet Gudrun, wie Täter oft freundlich oder harmlos erscheinen, während sie gezielt psychologische Gewalt ausüben. Die Episode zeigt, wie subtil Niedertracht sein kann, warum sie oft unerkannt bleibt und welche fatalen Auswirkungen sie auf das Selbstwertgefühl, Beziehungen und ganze Systeme haben kann – von der Schule über den Arbeitsplatz bis ins Privatleben. Gudrun teilt eindrucksvolle Praxisbeispiele und persönliche Erfahrungen und erklärt, wie man mit Klarheit und innerer Stärke Grenzen setzt. Mit der Rootfinder-Methode zeigt sie Wege auf, wie wir aus Täter-Opfer-Dynamiken aussteigen können und uns selbst wieder zum Maßstab unseres Wertes machen.

In this episode Gudrun speaks with Nadja Klein and Moussa Kassem Sbeyti who work at the Scientific Computing Center (SCC) at KIT in Karlsruhe. Since August 2024, Nadja has been professor at KIT leading the research group Methods for Big Data (MBD) there. She is an Emmy Noether Research Group Leader, and a member of AcademiaNet, and Die Junge Akademie, among others. In 2025, Nadja was awarded the Committee of Presidents of Statistical Societies (COPSS) Emerging Leader Award (ELA). The COPSS ELA recognizes early career statistical scientists who show evidence of and potential for leadership and who will help shape and strengthen the field. She finished her doctoral studies in Mathematics at the Universität Göttingen before conducting a postdoc at the University of Melbourne as a Feodor-Lynen fellow by the Alexander von Humboldt Foundation. Afterwards she was a Professor for Statistics and Data Science at the Humboldt-Universität zu Berlin before joining KIT. Moussa joined Nadja's lab as an associated member in 2023 and later as a postdoctoral researcher in 2024. He pursued a PhD at the TU Berlin while working as an AI Research Scientist at the Continental AI Lab in Berlin. His research primarily focuses on deep learning, developing uncertainty-based automated labeling methods for 2D object detection in autonomous driving. Prior to this, Moussa earned his M.Sc. in Mechatronics Engineering from the TU Darmstadt in 2021. The research of Nadja and Moussa is at the intersection of statistics and machine learning. In Nadja's MBD Lab the research spans theoretical analysis, method development and real-world applications. One of their key focuses is Bayesian methods, which allow to incorporate prior knowledge, quantify uncertainties, and bring insights to the “black boxes” of machine learning. By fusing the precision and reliability of Bayesian statistics with the adaptability of machine and deep learning, these methods aim to leverage the best of both worlds. The KIT offers a strong research environment, making it an ideal place to continue their work. They bring new expertise that can be leveraged in various applications and on the other hand Helmholtz offers a great platform in that respect to explore new application areas. For example Moussa decided to join the group at KIT as part of the Helmholtz Pilot Program Core-Informatics at KIT (KiKIT), which is an initiative focused on advancing fundamental research in informatics within the Helmholtz Association. Vision models typically depend on large volumes of labeled data, but collecting and labeling this data is both expensive and prone to errors. During his PhD, his research centered on data-efficient learning using uncertainty-based automated labeling techniques. That means estimating and using the uncertainty of models to select the helpful data samples to train the models to label the rest themselves. Now, within KiKIT, his work has evolved to include knowledge-based approaches in multi-task models, eg. detection and depth estimation — with the broader goal of enabling the development and deployment of reliable, accurate vision systems in real-world applications. Statistics and data science are fascinating fields, offering a wide variety of methods and applications that constantly lead to new insights. Within this domain, Bayesian methods are especially compelling, as they enable the quantification of uncertainty and the incorporation of prior knowledge. These capabilities contribute to making machine learning models more data-efficient, interpretable, and robust, which are essential qualities in safety-critical domains such as autonomous driving and personalized medicine. Nadja is also enthusiastic about the interdisciplinarity of the subject — repeatedly changing the focus from mathematics to economics to statistics to computer science. The combination of theoretical fundamentals and practical applications makes statistics an agile and important field of research in data science. From a deep learning perspective, the focus is on making models both more efficient and more reliable when dealing with large-scale data and complex dependencies. One way to do this is by reducing the need for extensive labeled data. They also work on developing self-aware models that can recognize when they're unsure and even reject their own predictions when necessary. Additionally, they explore model pruning techniques to improve computational efficiency, and specialize in Bayesian deep learning, allowing machine learning models to better handle uncertainty and complex dependencies. Beyond the methods themselves, they also contribute by publishing datasets that help push the development of next-generation, state-of-the-art models. The learning methods are applied across different domains such as object detection, depth estimation, semantic segmentation, and trajectory prediction — especially in the context of autonomous driving and agricultural applications. As deep learning technologies continue to evolve, they're also expanding into new application areas such as medical imaging. Unlike traditional deep learning, Bayesian deep learning provides uncertainty estimates alongside predictions, allowing for more principled decision-making and reducing catastrophic failures in safety-critical application. It has had a growing impact in several real-world domains where uncertainty really matters. Bayesian learning incorporates prior knowledge and updates beliefs as new data comes in, rather than relying purely on data-driven optimization. In healthcare, for example, Bayesian models help quantify uncertainty in medical diagnoses, which supports more risk-aware treatment decisions and can ultimately lead to better patient outcomes. In autonomous vehicles, Bayesian models play a key role in improving safety. By recognizing when the system is uncertain, they help capture edge cases more effectively, reduce false positives and negatives in object detection, and navigate complex, dynamic environments — like bad weather or unexpected road conditions — more reliably. In finance, Bayesian deep learning enhances both risk assessment and fraud detection by allowing the system to assess how confident it is in its predictions. That added layer of information supports more informed decision-making and helps reduce costly errors. Across all these areas, the key advantage is the ability to move beyond just accuracy and incorporate trust and reliability into AI systems. Bayesian methods are traditionally more expensive, but modern approximations (e.g., variational inference or last layer inference) make them feasible. Computational costs depend on the problem — sometimes Bayesian models require fewer data points to achieve better performance. The trade-off is between interpretability and computational efficiency, but hardware improvements are helping bridge this gap. Their research on uncertainty-based automated labeling is designed to make models not just safer and more reliable, but also more efficient. By reducing the need for extensive manual labeling, one improves the overall quality of the dataset while cutting down on human effort and potential labeling errors. Importantly, by selecting informative samples, the model learns from better data — which means it can reach higher performance with fewer training examples. This leads to faster training and better generalization without sacrificing accuracy. They also focus on developing lightweight uncertainty estimation techniques that are computationally efficient, so these benefits don't come with heavy resource demands. In short, this approach helps build models that are more robust, more adaptive to new data, and significantly more efficient to train and deploy — which is critical for real-world systems where both accuracy and speed matter. Statisticians and deep learning researchers often use distinct methodologies, vocabulary and frameworks, making communication and collaboration challenging. Unfortunately, there is a lack of Interdisciplinary education: Traditional academic programs rarely integrate both fields. It is necessary to foster joint programs, workshops, and cross-disciplinary training can help bridge this gap. From Moussa's experience coming through an industrial PhD, he has seen how many industry settings tend to prioritize short-term gains — favoring quick wins in deep learning over deeper, more fundamental improvements. To overcome this, we need to build long-term research partnerships between academia and industry — ones that allow for foundational work to evolve alongside practical applications. That kind of collaboration can drive more sustainable, impactful innovation in the long run, something we do at methods for big data. Looking ahead, one of the major directions for deep learning in the next five to ten years is the shift toward trustworthy AI. We're already seeing growing attention on making models more explainable, fair, and robust — especially as AI systems are being deployed in critical areas like healthcare, mobility, and finance. The group also expect to see more hybrid models — combining deep learning with Bayesian methods, physics-based models, or symbolic reasoning. These approaches can help bridge the gap between raw performance and interpretability, and often lead to more data-efficient solutions. Another big trend is the rise of uncertainty-aware AI. As AI moves into more high-risk, real-world applications, it becomes essential that systems understand and communicate their own confidence. This is where uncertainty modeling will play a key role — helping to make AI not just more powerful, but also more safe and reliable. The lecture "Advanced Bayesian Data Analysis" covers fundamental concepts in Bayesian statistics, including parametric and non-parametric regression, computational techniques such as MCMC and variational inference, and Bayesian priors for handling high-dimensional data. Additionally, the lecturers offer a Research Seminar on Selected Topics in Statistical Learning and Data Science. The workgroup offers a variety of Master's thesis topics at the intersection of statistics and deep learning, focusing on Bayesian modeling, uncertainty quantification, and high-dimensional methods. Current topics include predictive information criteria for Bayesian models and uncertainty quantification in deep learning. Topics span theoretical, methodological, computational and applied projects. Students interested in rigorous theoretical and applied research are encouraged to explore our available projects and contact us for further details. The general advice of Nadja and Moussa for everybody interested to enter the field is: "Develop a strong foundation in statistical and mathematical principles, rather than focusing solely on the latest trends. Gain expertise in both theory and practical applications, as real-world impact requires a balance of both. Be open to interdisciplinary collaboration. Some of the most exciting and meaningful innovations happen at the intersection of fields — whether that's statistics and deep learning, or AI and domain-specific areas like medicine or mobility. So don't be afraid to step outside your comfort zone, ask questions across disciplines, and look for ways to connect different perspectives. That's often where real breakthroughs happen. With every new challenge comes an opportunity to innovate, and that's what keeps this work exciting. We're always pushing for more robust, efficient, and trustworthy AI. And we're also growing — so if you're a motivated researcher interested in this space, we'd love to hear from you." Literature and further information Webpage of the group G. Nuti, Lluis A.J. Rugama, A.-I. Cross: Efficient Bayesian Decision Tree Algorithm, arxiv Jan 2019 Wikipedia: Expected value of sample information C. Howson & P. Urbach: Scientific Reasoning: The Bayesian Approach (3rd ed.). Open Court Publishing Company. ISBN 978-0-8126-9578-6, 2005. A.Gelman e.a.: Bayesian Data Analysis Third Edition. Chapman and Hall/CRC. ISBN 978-1-4398-4095-5, 2013. Yu, Angela: Introduction to Bayesian Decision Theory cogsci.ucsd.edu, 2013. Devin Soni: Introduction to Bayesian Networks, 2015. G. Nuti, L. Rugama, A.-I. Cross: Efficient Bayesian Decision Tree Algorithm, arXiv:1901.03214 stat.ML, 2019. M. Carlan, T. Kneib and N. Klein: Bayesian conditional transformation models, Journal of the American Statistical Association, 119(546):1360-1373, 2024. N. Klein: Distributional regression for data analysis , Annual Review of Statistics and Its Application, 11:321-346, 2024 C.Hoffmann and N.Klein: Marginally calibrated response distributions for end-to-end learning in autonomous driving, Annals of Applied Statistics, 17(2):1740-1763, 2023 Kassem Sbeyti, M., Karg, M., Wirth, C., Klein, N., & Albayrak, S. (2024, September). Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection. In Uncertainty in Artificial Intelligence (pp. 1890-1900). PMLR. M. K. Sbeyti, N. Klein, A. Nowzad, F. Sivrikaya and S. Albayrak: Building Blocks for Robust and Effective Semi-Supervised Real-World Object Detection pdf. To appear in Transactions on Machine Learning Research, 2025 Podcasts Learning, Teaching, and Building in the Age of AI Ep 42 of Vanishing Gradient, Jan 2025. O. Beige, G. Thäter: Risikoentscheidungsprozesse, Gespräch im Modellansatz Podcast, Folge 193, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2019.

In this episode Gudrun speaks with Nadja Klein and Moussa Kassem Sbeyti who work at the Scientific Computing Center (SCC) at KIT in Karlsruhe. Since August 2024, Nadja has been professor at KIT leading the research group Methods for Big Data (MBD) there. She is an Emmy Noether Research Group Leader, and a member of AcademiaNet, and Die Junge Akademie, among others. In 2025, Nadja was awarded the Committee of Presidents of Statistical Societies (COPSS) Emerging Leader Award (ELA). The COPSS ELA recognizes early career statistical scientists who show evidence of and potential for leadership and who will help shape and strengthen the field. She finished her doctoral studies in Mathematics at the Universität Göttingen before conducting a postdoc at the University of Melbourne as a Feodor-Lynen fellow by the Alexander von Humboldt Foundation. Afterwards she was a Professor for Statistics and Data Science at the Humboldt-Universität zu Berlin before joining KIT. Moussa joined Nadja's lab as an associated member in 2023 and later as a postdoctoral researcher in 2024. He pursued a PhD at the TU Berlin while working as an AI Research Scientist at the Continental AI Lab in Berlin. His research primarily focuses on deep learning, developing uncertainty-based automated labeling methods for 2D object detection in autonomous driving. Prior to this, Moussa earned his M.Sc. in Mechatronics Engineering from the TU Darmstadt in 2021. The research of Nadja and Moussa is at the intersection of statistics and machine learning. In Nadja's MBD Lab the research spans theoretical analysis, method development and real-world applications. One of their key focuses is Bayesian methods, which allow to incorporate prior knowledge, quantify uncertainties, and bring insights to the “black boxes” of machine learning. By fusing the precision and reliability of Bayesian statistics with the adaptability of machine and deep learning, these methods aim to leverage the best of both worlds. The KIT offers a strong research environment, making it an ideal place to continue their work. They bring new expertise that can be leveraged in various applications and on the other hand Helmholtz offers a great platform in that respect to explore new application areas. For example Moussa decided to join the group at KIT as part of the Helmholtz Pilot Program Core-Informatics at KIT (KiKIT), which is an initiative focused on advancing fundamental research in informatics within the Helmholtz Association. Vision models typically depend on large volumes of labeled data, but collecting and labeling this data is both expensive and prone to errors. During his PhD, his research centered on data-efficient learning using uncertainty-based automated labeling techniques. That means estimating and using the uncertainty of models to select the helpful data samples to train the models to label the rest themselves. Now, within KiKIT, his work has evolved to include knowledge-based approaches in multi-task models, eg. detection and depth estimation — with the broader goal of enabling the development and deployment of reliable, accurate vision systems in real-world applications. Statistics and data science are fascinating fields, offering a wide variety of methods and applications that constantly lead to new insights. Within this domain, Bayesian methods are especially compelling, as they enable the quantification of uncertainty and the incorporation of prior knowledge. These capabilities contribute to making machine learning models more data-efficient, interpretable, and robust, which are essential qualities in safety-critical domains such as autonomous driving and personalized medicine. Nadja is also enthusiastic about the interdisciplinarity of the subject — repeatedly changing the focus from mathematics to economics to statistics to computer science. The combination of theoretical fundamentals and practical applications makes statistics an agile and important field of research in data science. From a deep learning perspective, the focus is on making models both more efficient and more reliable when dealing with large-scale data and complex dependencies. One way to do this is by reducing the need for extensive labeled data. They also work on developing self-aware models that can recognize when they're unsure and even reject their own predictions when necessary. Additionally, they explore model pruning techniques to improve computational efficiency, and specialize in Bayesian deep learning, allowing machine learning models to better handle uncertainty and complex dependencies. Beyond the methods themselves, they also contribute by publishing datasets that help push the development of next-generation, state-of-the-art models. The learning methods are applied across different domains such as object detection, depth estimation, semantic segmentation, and trajectory prediction — especially in the context of autonomous driving and agricultural applications. As deep learning technologies continue to evolve, they're also expanding into new application areas such as medical imaging. Unlike traditional deep learning, Bayesian deep learning provides uncertainty estimates alongside predictions, allowing for more principled decision-making and reducing catastrophic failures in safety-critical application. It has had a growing impact in several real-world domains where uncertainty really matters. Bayesian learning incorporates prior knowledge and updates beliefs as new data comes in, rather than relying purely on data-driven optimization. In healthcare, for example, Bayesian models help quantify uncertainty in medical diagnoses, which supports more risk-aware treatment decisions and can ultimately lead to better patient outcomes. In autonomous vehicles, Bayesian models play a key role in improving safety. By recognizing when the system is uncertain, they help capture edge cases more effectively, reduce false positives and negatives in object detection, and navigate complex, dynamic environments — like bad weather or unexpected road conditions — more reliably. In finance, Bayesian deep learning enhances both risk assessment and fraud detection by allowing the system to assess how confident it is in its predictions. That added layer of information supports more informed decision-making and helps reduce costly errors. Across all these areas, the key advantage is the ability to move beyond just accuracy and incorporate trust and reliability into AI systems. Bayesian methods are traditionally more expensive, but modern approximations (e.g., variational inference or last layer inference) make them feasible. Computational costs depend on the problem — sometimes Bayesian models require fewer data points to achieve better performance. The trade-off is between interpretability and computational efficiency, but hardware improvements are helping bridge this gap. Their research on uncertainty-based automated labeling is designed to make models not just safer and more reliable, but also more efficient. By reducing the need for extensive manual labeling, one improves the overall quality of the dataset while cutting down on human effort and potential labeling errors. Importantly, by selecting informative samples, the model learns from better data — which means it can reach higher performance with fewer training examples. This leads to faster training and better generalization without sacrificing accuracy. They also focus on developing lightweight uncertainty estimation techniques that are computationally efficient, so these benefits don't come with heavy resource demands. In short, this approach helps build models that are more robust, more adaptive to new data, and significantly more efficient to train and deploy — which is critical for real-world systems where both accuracy and speed matter. Statisticians and deep learning researchers often use distinct methodologies, vocabulary and frameworks, making communication and collaboration challenging. Unfortunately, there is a lack of Interdisciplinary education: Traditional academic programs rarely integrate both fields. It is necessary to foster joint programs, workshops, and cross-disciplinary training can help bridge this gap. From Moussa's experience coming through an industrial PhD, he has seen how many industry settings tend to prioritize short-term gains — favoring quick wins in deep learning over deeper, more fundamental improvements. To overcome this, we need to build long-term research partnerships between academia and industry — ones that allow for foundational work to evolve alongside practical applications. That kind of collaboration can drive more sustainable, impactful innovation in the long run, something we do at methods for big data. Looking ahead, one of the major directions for deep learning in the next five to ten years is the shift toward trustworthy AI. We're already seeing growing attention on making models more explainable, fair, and robust — especially as AI systems are being deployed in critical areas like healthcare, mobility, and finance. The group also expect to see more hybrid models — combining deep learning with Bayesian methods, physics-based models, or symbolic reasoning. These approaches can help bridge the gap between raw performance and interpretability, and often lead to more data-efficient solutions. Another big trend is the rise of uncertainty-aware AI. As AI moves into more high-risk, real-world applications, it becomes essential that systems understand and communicate their own confidence. This is where uncertainty modeling will play a key role — helping to make AI not just more powerful, but also more safe and reliable. The lecture "Advanced Bayesian Data Analysis" covers fundamental concepts in Bayesian statistics, including parametric and non-parametric regression, computational techniques such as MCMC and variational inference, and Bayesian priors for handling high-dimensional data. Additionally, the lecturers offer a Research Seminar on Selected Topics in Statistical Learning and Data Science. The workgroup offers a variety of Master's thesis topics at the intersection of statistics and deep learning, focusing on Bayesian modeling, uncertainty quantification, and high-dimensional methods. Current topics include predictive information criteria for Bayesian models and uncertainty quantification in deep learning. Topics span theoretical, methodological, computational and applied projects. Students interested in rigorous theoretical and applied research are encouraged to explore our available projects and contact us for further details. The general advice of Nadja and Moussa for everybody interested to enter the field is: "Develop a strong foundation in statistical and mathematical principles, rather than focusing solely on the latest trends. Gain expertise in both theory and practical applications, as real-world impact requires a balance of both. Be open to interdisciplinary collaboration. Some of the most exciting and meaningful innovations happen at the intersection of fields — whether that's statistics and deep learning, or AI and domain-specific areas like medicine or mobility. So don't be afraid to step outside your comfort zone, ask questions across disciplines, and look for ways to connect different perspectives. That's often where real breakthroughs happen. With every new challenge comes an opportunity to innovate, and that's what keeps this work exciting. We're always pushing for more robust, efficient, and trustworthy AI. And we're also growing — so if you're a motivated researcher interested in this space, we'd love to hear from you." Literature and further information Webpage of the group G. Nuti, Lluis A.J. Rugama, A.-I. Cross: Efficient Bayesian Decision Tree Algorithm, arxiv Jan 2019 Wikipedia: Expected value of sample information C. Howson & P. Urbach: Scientific Reasoning: The Bayesian Approach (3rd ed.). Open Court Publishing Company. ISBN 978-0-8126-9578-6, 2005. A.Gelman e.a.: Bayesian Data Analysis Third Edition. Chapman and Hall/CRC. ISBN 978-1-4398-4095-5, 2013. Yu, Angela: Introduction to Bayesian Decision Theory cogsci.ucsd.edu, 2013. Devin Soni: Introduction to Bayesian Networks, 2015. G. Nuti, L. Rugama, A.-I. Cross: Efficient Bayesian Decision Tree Algorithm, arXiv:1901.03214 stat.ML, 2019. M. Carlan, T. Kneib and N. Klein: Bayesian conditional transformation models, Journal of the American Statistical Association, 119(546):1360-1373, 2024. N. Klein: Distributional regression for data analysis , Annual Review of Statistics and Its Application, 11:321-346, 2024 C.Hoffmann and N.Klein: Marginally calibrated response distributions for end-to-end learning in autonomous driving, Annals of Applied Statistics, 17(2):1740-1763, 2023 Kassem Sbeyti, M., Karg, M., Wirth, C., Klein, N., & Albayrak, S. (2024, September). Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection. In Uncertainty in Artificial Intelligence (pp. 1890-1900). PMLR. M. K. Sbeyti, N. Klein, A. Nowzad, F. Sivrikaya and S. Albayrak: Building Blocks for Robust and Effective Semi-Supervised Real-World Object Detection pdf. To appear in Transactions on Machine Learning Research, 2025 Podcasts Learning, Teaching, and Building in the Age of AI Ep 42 of Vanishing Gradient, Jan 2025. O. Beige, G. Thäter: Risikoentscheidungsprozesse, Gespräch im Modellansatz Podcast, Folge 193, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2019.

In der heutigen Folge spricht Gudrun Schönhofer über ein tiefgreifendes und oftmals unterschätztes Thema: Loyalität.

Donald Trump ist seit 100 Tagen zurück im Weißen Haus – und sorgt täglich für Schlagzeilen. Tagesthemen-Moderator Ingo Zamperoni und US-Journalistin Jiffer Bourguignon sprechen mit Gudrun Engel, Studioleiterin der ARD in Washington, über Trumps turbulente Bilanz: Rekordzahl an Dekreten, chaotische Zollpolitik, aggressive Rhetorik – und die unerschütterliche Loyalität vieler Anhänger, trotz wachsender Skandale. "Ein Aspekt der ersten 100 Tage sind Angriffe auf Staatsanwälte, Entlassungen und das Ignorieren von Gerichtsurteilen – so etwas gab's in der Form noch nie. Trump sagt einfach: Wenn ich's doch fürs Land tue, kann es nicht falsch sein", stellt Ingo fest. Auch Thema: Warum Trumps Umfragewerte aktuell sinken und was das für die USA bedeutet. Dazu exklusive Einblicke in Gudrun Engels neue ARD-Doku “WTF, Trump?! Was wird aus Amerika?”. Die Weltspiegel-Doku von Gudrun Engel https://1.ard.de/WTF_Trump_WeltspiegelDoku 100 Tage Trump - Analyse von Gudrun Engel auf tagesschau.de https://www.tagesschau.de/ausland/amerika/trump-100-tage-bilanz-100.html Podcast-Tipp: 100 Tage Trump - wo sind die Demokraten? 11KM: der tagesschau-Podcast https://1.ard.de/11KM_100_Tage_Trump

Im zweiten Teil des Podcasts sprechen Tagesthemen-Moderator Ingo Zamperoni, US-Journalistin Jiffer Bourguignon und USA-Korrespondentin Gudrun Engel über das neue “Klima der Angst” in den USA. Gudrun ist gerade viel durch das ganze Land gereist, um die Stimmung in den USA zu ergründen für ihre neue Dokumentation „WTF, Trump?! Was wird aus Amerika?“. Gudrun beschreibt, wie Donald Trump die Gesellschaft durch gezielte Verunsicherung verändert, auch jenseits all seiner neuen Dekrete. Während viele junge Menschen und Minderheiten aus Angst vor Repression schweigen, zeigen vor allem ältere weiße Frauen noch Widerstand. Aber es gibt erste Institutionen, die aufbegehren, wie die Universität Harvard, die sich gegen den politischen Druck aus dem Weißen Haus stemmt. Gleichzeitig erklärt Gudrun, warum viele trotz eigener Nachteile an Trump festhalten. Zur Sprache kommt auch der Ukraine-Krieg, die US-Außenpolitik und die Herausforderungen der Einwanderungspolitik. Ein intensiver Blick auf eine Gesellschaft im Ausnahmezustand – nach gerade mal 100 Tagen Donald Trump im Amt. Die Weltspiegel-Doku von Gudrun Engel: https://1.ard.de/WTF_Trump_WeltspiegelDoku Podcast-Tipp: Zehn Minuten Wirtschaft https://1.ard.de/10_Minuten_Wirtschaft

Have you ever wondered what really happens after winning an orchestra audition? In this episode, I talk to Gudrun Hinze about the often overlooked challenges of the trial period and how to navigate this crucial phase with confidence and heart. Gudrun shares her personal journey and the lessons she learned about resilience, musical identity, and staying connected to your love for music. If you're ready to grow beyond your instrument, this conversation is for you.More from Gudrun:Instagram: @hinzegudrunWebsite: www.gudrunhinze.deYouTube: @HinzePiccoloWould you like to hear more?Website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠penthesilea.academy⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠@karintbonelli⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠@penthesilea.academy⁠⁠⁠⁠⁠⁠⁠⁠⁠produced by ⁠⁠⁠⁠⁠⁠⁠⁠Eli Cardich⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠podcastly

In dieser inspirierenden Folge von Gedankenrevolution spricht Gudrun Schönhofer über das Phänomen des Underdogs – jene Menschen, die scheinbar im Schatten stehen, aber ungeahnte Kräfte in sich tragen. Ob Rocky Balboa, David gegen Goliath oder Rosa Parks – die Welt ist voll von Geschichten, in denen die Unterschätzten über sich hinauswachsen. Gudrun beleuchtet, warum gerade in Schwäche, Ausgrenzung und unterschätzter Herkunft eine enorme Kraft liegt. Es geht um Prägungen, die uns klein halten, um mentale Limitierungen – aber auch darum, wie genau daraus Mut, Kreativität und ein tiefes Warum entstehen können. Wenn du dich selbst manchmal als Underdog fühlst oder gefühlt hast – dann ist diese Folge ein echtes Feuer für deinen inneren Kompass. Denn unterschätzt zu werden, ist kein Nachteil. Es ist Freiheit. Und manchmal sogar der Anfang von Geschichte.

In dieser Osterfolge von Gedankenrevolution reflektiert Gudrun Schönhofer über Ostern als Symbol für persönliche Transformation. Zwischen Karfreitag und Auferstehung geht es um Loslassen, alte Glaubensmuster und innere Neuausrichtung. Was, wenn Ostern uns nicht zur Andacht, sondern zur Ehrlichkeit ruft? Und was, wenn das goldene Ei, nach dem wir suchen, wir selbst sind? Gudrun verbindet historische Hintergründe mit systemischen Impulsen – für alle, die die Feiertage als Anlass für inneres Wachstum und Neubeginn nutzen wollen. ✨ Themen u.a.: - Karfreitage der Seele & persönliche Wendepunkte - Die Symbolik von Ei und Hase neu gedacht - Auferstehung als innerer Prozess

In dieser Folge von Gedankenrevolution – Wenn Mindset allein nicht reicht nimmt dich Gudrun Schönhofer mit auf eine faszinierende Reise durch Geschichte, Symbolik und Geopolitik. Im Mittelpunkt steht die allegorische Karte Europa Regina aus dem Jahr 1534 – eine Darstellung Europas als gekrönte Königin, die mehr war als nur ein kunstvolles Bild: Sie war ein geopolitisches Manifest. Gudrun beleuchtet, was diese historische Karte über den Traum eines geeinten Europas verrät, welche Ängste und Machtansprüche sie verbirgt und wie überraschend aktuell diese Gedanken im Kontext heutiger Weltpolitik – insbesondere im Verhältnis zu Russland – noch sind.

In der heutigen Folge spricht Gudrun Schönhofer über den Perspektivwechsel – ein Thema, das nicht nur philosophisch und psychologisch, sondern auch gesellschaftlich und politisch höchst relevant ist. Ein Perspektivwechsel bedeutet, eine Situation oder Überzeugung aus einer anderen Sichtweise zu betrachten – ohne dabei gleich die eigene Meinung aufzugeben. Gudrun beleuchtet, wie unsere Wahrnehmung durch Prägungen, Erfahrungen und gesellschaftliche Narrative beeinflusst wird und warum gerade in polarisierten Zeiten Empathie und Toleranz der Schlüssel zu mehr Miteinander sind.

S5E17 Volsung Poems: The Children of Giuki and Budli (Part 5)David continues his series of not so short solo episodes, deep diving into the Poems of the Poetic Edda which inspired the Saga of the Volsungs.In this episode:The Second Poem of Gudrun.The Death of the Niflungs.Oddrun's Lament.These relatively late poems bridge The First Poem of Gudrun to the poems about Atli and the early poem Lay of Hamdir (coming soon). The children of Giuki are Gunnar, Hogni, and Gudrun. And as we saw previously, Gudrun has sworn vengance against her brothers for killing her beloved Sigurd. The children of Budli are Brynhild, Atli, and Oddrun. These late poems explain that Budli wanted Brynhild to be a single shield maiden. Running her own kingdom and free from a husband. Oddrun was to be married to Gunnar to establish a peace between the clans.But Budli is dead, and Atli had other plans (perhaps the wealth of Sigurd threw off the initial plans). He married off Brynhild (likely so his sister would not have a neighboring kingdom to rival his own) and forbid the lovebirds, Gunnar and Oddrun, from marrying.We see in this episode how Gudrun wanted to grieve in peace, but the patriarchy, the brothers and parents, want her to reestablish the alliance formed by the marriage of Gunnar and Brynhild. My conclusion is that these particular poems are fan fiction. As the Poetic Edda scholar Carolyn Larrington says, these late contructions: "give more justification than seems necessary" for why the families go to war and why Atli kills Gunnar and Hogni. There are some very amusing verbal dueling between Oddrun and another lady of the court, the unwed and pregnant Borgny. A poetic battle conducted while Oddrun begrudgingly serves as her midwife. It finally answers Shawn's question from Season 1 on Havamal. Why should one not trust women serving drinks?Ways to support us:If you have been enjoying our show, please write a 5 star review on itunes to help spread our podcast to a wider audience:https://podcasts.apple.com/us/podcast/between-two-ravens-a-norse-mythology-podcast/id1604263830Buy Shawn and David a Beer or Coffee: https://ko-fi.com/tworavenpodcastFollow us for updates or send us a message on Instagram:Instagram: (@TwoRavensPodcast): https://www.instagram.com/tworavenspodcast/Check out David's writing: Walled Garden (https://thewalledgarden.com/davidalexander)Our podcast is part of The Walled Garden Podcast Network. The Walled Garden is committed to the pursuit of Truth, Wisdom, Virtue, and the Divine, wherever it might be found. Visit thewalledgarden.com to learn more.This show is part of the Spreaker Prime Network, if you are interested in advertising on this podcast, contact us at https://www.spreaker.com/show/5910787/advertisement

In dieser Folge ist Gudrun bei uns zu Gast und lässt uns an ihrer berührenden Geschichte teilhaben. Sie erzählt von der herausfordernden Zeit rund um die Frühgeburt ihres dritten Kindes. Bereits in der 25. Schwangerschaftswoche setzen die ersten Wehen ein.Gudrun nimmt uns mit in diese Zeit der Unsicherheiten, Herausforderungen und des Haderns und auch des Hoffens und Mitfühlens. Sie spricht über Wut, die Dankbarkeit und Momente die berühren. Ihre Geschichte bewegt und lässt spüren, was es bedeutet, in so einer Situation zu sein.Von Herzen danke, liebe Gudrun, für deine Offenheit und dein Vertrauen.

It's been over 5 years now that I slipped on a banana peel and fell head-first into the wonderful hobby of analog, improvised storytelling. It has been truly one of the most liberating experiences of my life to learn that I can just… make stuff. And if somebody finds it good, great. If they don't, that's fine too.I've built a fantasy world called Zemera, and a lot of it is empty. Maybe I'm the one who's stupid, but when people say they're “worldbuilding”, I didn't realize that they don't necessary mean a planet.But when you get into D&D, you probably will find your way towards some sort of mapmaking software. So I did, and I used whatever influences I could find in my life plus a few handy name generators, and I slapped down some landmasses and locations and named them all.But when it comes time to use your map, you realize that stories are local by nature, not global. Maps like the one above are no help, because stories are about characters.So you pick one of the dots you put in place of a town and you drill down and make that, and give it yet another bunch of names that don't mean anything until they're used. And you then write a bunch more names for people who live in that place and are doing things.It's just names all the way down.But then the marvelous bit of business happens — you start making those names mean something, one story at a time. You pick a place, and you pick a person, and in your chosen medium of art, you talk about the time they did something, and suddenly that name comes to life. It multiplies in ways you could not think, as the events that do happen imply or even inspire the events that are left unsaid. You create vibrance and harmony, and this name carries all of it forward to all those who partake in that story.In my realization of the need to be local, I picked an island in the archipelago, called Teressa, and I focused on it for a few years. In that time, I've told a lot of stories on this island:* A 55-session D&D campaign (2 arcs) over 2.5 years in the Eastern third + the 3 small islands to its south.* A short story from that campaign, set in Farbarin.* A 4-session D&D adventure in The Floating Plains* A 4-session adventure in the Nam Valley (south of the Ashtea Peaks)* A short story in that valley, about the location titled Gudrun's Door* Several 1-session games in multiple locations* A short story in the Emeraldhide forest and Divyista* A short story in Sin-Duzh (pending publication)* Multiple short stories in Ishash (in drafting)And I plan to keep doing this, and also spread out to the other islands. My first novel (in drafting), Karsica and the Sky Islands, starts on the island called Aves, far to the west of Teressa, and hundreds of years before what is depicted in the following map.So, if you think about it, worldbuilding is easy. You just slap a bunch of names down, either on a map or in a list, and when you get that itch to tell a story, you come back and pick one, and you build it out. All the other stuff we worry about — magic systems, politik, philosophy, meaningful characters, memorable relationships, and more — happen as you keep coming back.Thanks for reading! You can get these posts in your inbox if you like.Personal updateI'm not well, but at this point that's just the normal course of life and I'll be okay.I'm enjoying working video-first and then writing a post around it, and I want to see how long I enjoy doing that. In the meantime, my writing-first efforts are focused exclusively on fiction, so I don't think I'll be writing essays. My next two short stories are:* Conscious Choices — I won't give up on this story. It WILL be on this blog site. Please look forward to it.* The Mischievers in the Shadows Part 2 — I want this to be on this blog site, but it's also intended for something much bigger. There are 5 parts planned plus some fun stuff which I want to publish as an e-book. We're far from that dream, but we'll get there, one word at a time.I want to take my time with these stories. Memories of Magnolias resonated with you in a way that Thank You for Coming did not, and I can only assume that the reason is that a lot more time, love, and effort went into the former, so I shall do the same with the upcoming stories.Thanks for reading and/or watching my stuff. I've been feeling a little alone lately, so if you see this, leave a comment or at least a like so that I know I'm not throwing stuff into a void. Get full access to Thorough and Unkempt at vaibhavguptawho.substack.com/subscribe

Time for another Team Tubb Travelogue! This time, Gudrun Lauret catches up with Richard Tubb, Lenka Koppova and special guest, Sean Lardo of ConnectWise, who are in London for IT Nation Connect Europe 2025.Grab a cup of your favourite tea or coffee, relax and join them for a fun conversation about the highlights from this big event.Richard gives shoutouts to Southern IT and Damien Harrison of North-East MSP Bondgate IT, Lenka shares her event highlights and Sean explains how they organise the conference.Plus… the Team Tubb Travelogue Quiz is back! Can answer Richard, Lenka and Sean answer Gudrun's London-themed questions?What to Know About IT Nation Connect Europe 2025IT Nation Connect Europe 2025 is a three-day event designed for managed service providers (MSPs) who want to enhance their business value and gain a competitive edge in today's rapidly evolving technology landscape.Organised by ConnectWise, the event features keynote speakers, breakout sessions, exhibition stands, specialist meet-ups (women in tech, M&A, cybersecurity) and networking and socialising opportunities galore. It's one of the best events for forward-looking MSPs.Were you at IT Nation Connect Europe 2025 too? Send us a voice recording with your highlights, and we'll add your comments to our next Team Tubb Travelogue!

Susan Link und Micky Beisenherz begrüßen die Journalistin Lisa Ortgies, die Sängerin Yvonne Catterfeld und die ARD-Korrespondentin Gudrun Engel. Von Kölner Treff.

Gudrun K. (48) kann auf ein bewegtes Leben zurückblicken. Schon kurz nach ihrer unglücklichen Jugend trifft sie den wohlhabenden Reinhold und wähnt sich am Ende all ihrer Sorgen. Schon bald ist sie schwanger, seine Familie drängt auf eine rasche Hochzeit und erfahrungslos, wie sie ist, unterschreibt sie im Zuge dieser einen Ehevertrag, den sie nicht vollends versteht. Schon bald kriselt es in der Ehe und die Schwiegereltern beginnen unverhohlen mit ihren Bemühungen, ihr das Sorgerecht für ihren Sohn zu entziehen.Verzweifelt gibt Gudrun irgendwann dem Begehren der Schwiegereltern statt, zieht fort und beginnt ein neues Leben als Hotelmanagerin. Doch wir wären nicht im Kelter-Universum, wenn da nicht noch eine erstaunliche Wendung auf uns warten würde!Zwanzig Jahre später kommt es zu einem schicksalhaften Aufeinandertreffen von Mutter und Sohn, von dem wir nicht mehr verraten wollen, als: es passiert durch eine ungewollte Überraschung, Gudrun´s beste Freundin hat ihre Finger im Spiel und das Erkennungszeichen stammt aus alten Zeiten. Have fun!--Euch hat diese Geschichte gefallen, aufgeregt oder ihr habt euch darin sogar wiedererkannt? Das interessiert uns brennend!Schreibt uns in Kommentaren über Facebook und Instagram unter @dramacarbonara. Dort werdet ihr auch die in den Geschichten besprochenen Fotos finden und endlich sehen können, was wir sehen ... Falls ihr noch mehr fantastische Geschichten mit uns lesen wollt, können wir euch schon jetzt versprechen: das Repertoire ist unerschöpflich, wir staunen jedes Mal aufs Neue, was möglich ist. Abonnieren per RSS-Feed, Apple Podcasts, Spotify, Deezer oder Google Podcasts ist der Schlüssel zur regelmäßigen Versorgung. Über Rezensionen freuen wir uns natürlich extrem und feiern diese gern auch prominent in unserem Social Media Feed.Jede zweite Folge kommt übrigens ein/e GastleserIn zu uns ins kuschelige Wiener Hauptquartier und unterstützt uns mit Theorien zu Charakteren und Handlungssträngen. Wenn ihr einen Wunschgast habt oder gern selbst mal vorbeischauen wollt, sagt Bescheid. Wir können nichts versprechen, aber wir freuen uns immer über Vorschläge.Wenn ihr Lust auf Extra-Content und Community-Aktivitäten habt, unterstützt uns mit einem Abonnement auf Steady und kommt in den Genuss des kompletten "Drama Carbonara"-Universums: https://steadyhq.com/de/drama-carbonara/aboutFalls ihr daran interessiert sind, Werbung in unserem Podcast zu schalten, setzt euch bitte mit Stefan Lassnig von Missing Link  in Verbindung. Verbindlichsten Dank! NEUER PODCAST!Wer in den neuesten Podcast, den Tatjana und Asta für HAPPY HOUSE MEDIA Wien produziert haben mit dem vielversprechenden Namen "Wo die Geister wohnen" reinhören mag - schaut mal hier & hier findet ihr den Geister Instagram Account! Es wird schrecklich schön!!--Link zur Podcast Hörer:innen UMFRAGE!Danke für die Mitarbeit und euer wertvolles Feedback :) & hier zur legendären Spotify Drama Carbonara Soundtrack Playlist - folgen folgen folgen!! liebe Freund:innen des unberechenbaren Musik-Algorithmus!

Join Andrew Snyder and patrons of the Mythic Mind Fellowship as we work our way through the Poetic Edda. In this conversation, we discuss The Death of Sinfiotli, The Prophecy of Gripir, the Lays of Regin, Fafnir, and Sigrdrifa, and Fragment of a Poem about Gudrun. Subscribe to keep up with these chats, and be sure to listen to the Mythic Mind podcast on any of the standard platforms. To become a patron and join these conversations and to gain access to all Mythic Mind content, including past, present, and upcoming courses, you can go to http://patreon.com/mythicmind Enroll in Hannah's Latin course at https://www.patreon.com/HannahGilmoreBecome a supporter of this podcast: https://www.spreaker.com/podcast/mythic-mind--5808321/support.

In dieser Folge von Gedankenrevolution setzt sich Gudrun Schönhofer mit der kontroversen Debatte rund um Windkraft auseinander. Anlass ist eine geplante Windkraftindustrieanlage in ihrer Region, die sie dazu veranlasst hat, sich intensiv mit den Auswirkungen dieser Technologie zu beschäftigen. Während Windkraft oft als saubere und nachhaltige Lösung für die Energiewende dargestellt wird, zeigt Schönhofer auf, dass die Realität weitaus komplexer ist. Sie beleuchtet unter anderem folgende kritische Aspekte:

Fischer, Gudrun www.deutschlandfunk.de, Sonntagsspaziergang

Gudrun Harrer im Gespräch mit Gudrun KrämerISLAMISMUS IN PALÄSTINA: DIE HAMAS UND IHRE GEGNER Religion und Politik sind im Konflikt um Palästina/Israel ungewöhnlich eng verknüpft, und zwar auf jüdisch-israelischer Seite wie auf arabisch-palästinensicher Seite. Palästina nimmt für viele gläubige Muslime und Musliminnen eine besondere Stellung ein, Jerusalem gilt ihnen nach Mekka und Medina als drittheiligste Stätte des Islams. Während die PLO in den 1990er Jahren auch offiziell in einen Friedensprozess mit Israel eintrat, beanspruchte die Hamas, entstanden aus dem palästinensischen Zweig der Muslimbruderschaft, weiter das ganze Land. 2007 übernahm die Hamas im Gazastreifen die Macht und errichtete ein autoritäres Regime. Am 7. Oktober 2023 überfiel sie Israel, richtete ein Massaker unter Zivilisten und Zivilistinnen an und verschleppte 250 Menschen nach Gaza. Der heute von palästinensischen Gruppen propagierte Slogan „From the River to the Sea“ stammt allerdings aus der Gründungsakte der israelischen nationalkonservativen Likud-Partei.Gudrun Krämer analysiert im Bruno Kreisky Forum das Hamas-Regime in Gaza und geht der Frage nach, mit welchen Strategien sich die Hamas gegenüber nationalistischen und militant-islamistischen Gruppen profiliert, aber auch welche Echos und Spiegelungen es zwischen zionistischen und islamistischen Positionen gab und gibt. Gudrun Krämer,Islamwissenschaftlerin, Historikerin und AutorinGudrun Harrer, Leitende Redakteurin, Der Standard; Lektorin für Moderne Geschichte und Politik des Nahen und Mittleren Ostens an der Universität Wien und an der Diplomatischen Akademie Wien

In dieser Podcast-Episode teilt Gudrun Öchsl ihre besten Strategien, um fokussiert zu bleiben, Ablenkungen zu minimieren und mit mehr Leichtigkeit wirklich dran zu bleiben. Perfekt für alle, die produktiver arbeiten und ihre Ziele konsequent verfolgen wollen!

Vor fünf Jahren, am 23. Januar 2020, starb die Kinder- und Jugendbuchautorin Gudrun Pausewang im Alter von 91 Jahren. Ihr Roman "Die Wolke" wurde zu einem Weltbestseller. Weniger bekannt ist ihr autobiografischer Romanzyklus rund um die "Rosinkawiese", ein Stück Land im Adlergebirge, auf dem sie als Sudetendeutsche aufgewachsen war. In dem Band "Fern von der Rosinkawiese" schildert Pausewang eindringlich die Flucht ihrer Familie Richtung Westen unmittelbar nach dem Ende des Zweiten Weltkriegs. Von dira_Connect DAAS.

Väldigt många kvinnor lider av förlossningsrädsla. Varför är det så och vad kan vi göra åt det? Nina Campioni grunnar på saker och tar hjälp av Gudrun Abascal för att reda ut rädslorna. Repris från 2020.Support till showen http://supporter.acast.com/vattnetgar. Hosted on Acast. See acast.com/privacy for more information.

S5E13 Volsung Poems: The Poems of Brynhild and Gudrun (Part 4) David continues his series of not so short solo episodes, deep diving into the Poems of the Poetic Edda which inspired the Saga of the Volsungs.This is the story of the meeting of the hero with the beloved. The Valkyrie. I had to analyze the tragedy of Tristan and Iseult to find the archetypes which may be at play with the meeting of the hero with the beloved, and the meaning of the love triangle where the hero betrays his first love, in order to attempt to make an earthly love work. Is Sigurd "heartless" in his betrayal? Powerless to the dark agreements of others? Or does he have an acceptance of fate that is difficult for us to fathom?This episode explores the poems focusing on the meeting of Sigurd with his beloved and the tragedy when he finds himself with both Brynhild and Gudrun in love with him.Gripir's prophecyThe "short" poem of SigurdA fragment about Sigurd The First Poem of GudrunBrynhild's Ride to HellThe Saga of Volsung gives a convoluted meeting of Sigurd with Brynhild. Gripir's Prophecy gives what I find to be an oversimplified version. The other poems give multiple possible meetings as we attempt to sort out what was the most likely meeting and what did the earliest authors intend to be the meeting.I also contrast the Norse Version of the archetypal meeting of the hero and the beloved, which is filled with Shadow, Cursed Fate, and Insecurities, with the ideal meeting from Shahname, the Persian Book of Kings.Writing this episode has helped me a great deal to understand a relatively coherent and tragic story of Sigurd following his fate and playing out the curse of Andvari and Fafnir's gold. And I have gained a great deal of respect and understanding for Gudrun. I hope you enjoy coming along on the journey and I will return to the poems of Gudrun and Atli in the near future.Ways to support us:If you have been enjoying our show, please write a 5 star review on itunes to help spread our podcast to a wider audience:https://podcasts.apple.com/us/podcast/between-two-ravens-a-norse-mythology-podcast/id1604263830Buy Shawn and David a Beer or Coffee: https://ko-fi.com/tworavenpodcastFollow us for updates or send us a message on Instagram:Instagram: (@TwoRavensPodcast): https://www.instagram.com/tworavenspodcast/Check out David's writing: Walled Garden (https://thewalledgarden.com/davidalexander)Our podcast is part of The Walled Garden Podcast Network. The Walled Garden is committed to the pursuit of Truth, Wisdom, Virtue, and the Divine, wherever it might be found. Visit thewalledgarden.com to learn more.This show is part of the Spreaker Prime Network, if you are interested in advertising on this podcast, contact us at https://www.spreaker.com/show/5910787/advertisement

We find out the latest news for Swedish battery giant Northvolt, we take a look back at a winter storm that shook Sweden 20 years ago, we share some handy tips for staying safe on Swedens icy pavements, and check out a Stockholm gym that cranks up nothing but metal and hard rock. Presenter: Babak ParhamProducer: Kris Boswell

Natten till den 8 januari 2005 slår stormen Gudrun till, den största naturkatastrofen i Sverige i modern tid. I den strömlösa byn Lyngsåsa väntar en familj på sin dotter. Hon är fast i stormskogen. Lyssna på alla avsnitt i Sveriges Radio Play. Tsunamikatastrofen har just inträffat och bilderna av katastrofen fyller TV-sändningar och tidningarna när svenskarna släcker lampan kvällen den 7 januari 2005. Så, under natten, sveper stormen Gudrun in över Sverige och fäller 200 miljoner träd. 75 miljoner kubikmeter skog. På morgonen vaknar människor på landsbygden upp i en nytt och sargat landskap. Utan kontakt med omvärlden. Som mest är 730 000 människor strömlösa och en kvarts miljon utan telefoner. I den lilla byn Lyngsåsa i Småland är familjen Lind ensamma i mörkret. Mobiler och elnät har slutat fungera och vägarna är blockerade av fallna träd. Och deras dotter Sofi är försvunnen.Dokumentären är en bearbetning av program gjorda för Tendens i P1, veckan efter stormen 2005. Vi möter familjen direkt efter stormen och ett år senare.Reporter och producent: Ola Hemström ola.hemstrom@sverigesradio.seMusik i FM-versionenVintersaga - Monica Törnell Live tomorrow - Laleh Enkelhet - Anna Ternheim Ge mig en sidenklänning - Karin Wistrand If i could - Sophie Zelmani Rosa Himmel – Molly Sandén The wind – Cat Stevens Musik i poddenWindogad – Lena Willemark Near Light - Olafur Arnalds Du som gick före oss – Anders Widmark

Starka naturkrafter som kan orsaka förödelse, men även vackra naturupplevelser som norrsken, är kvällens ämne. Hör vad lyssnarna berättar! Lyssna på alla avsnitt i Sveriges Radio Play. Det är 20 år sedan stormen Gudrun slog till, och Karlavagnen vänder blicken mot naturen. Vad har du varit med om för omvälvande naturupplevelser? En storm, ett norrsken, eller något annat naturfenomen? Vad hände och vad såg du? Och framför allt, vad kände du?Hör av dig till Karlavagnen och berätta!Omtumlande naturupplevelser med Pamela TaivassaloRing eller mejla oss, på karlavagnen@sverigesradio.se eller skriv till oss på Facebook och Instagram. Telefonslussen öppnar kl. 21. Programmet startar 21:03.

Äntligen dags för ännu en fråge-podd med allas vår favoritbarnmorska Gudrun Abascal, som vanligt är det ni som ställer frågorna och Gudrun som svarar - Nina Campion är programledare för Vattnet Går.Support till showen http://supporter.acast.com/vattnetgar. Hosted on Acast. See acast.com/privacy for more information.

Time for another Team Tubb Travelogue! This time, Gudrun Lauret catches up with Richard Tubb and Lenka Koppova, who are in Berlin for Pax8 Beyond EMEA 24.Grab a cup of your favourite tea or coffee, relax and join them for a fun conversation about the highlights from this big event.Richard shares how the community rallied around when he lost his luggage. Lenka talks about how fantastic the event organisation was, from hotel check-in to the closing remarks. Plus, they tell Gudrun how blown away everyone was with the special guest at the after-party!Other HighlightsWomen in Tech get-togetherTalks on AI, mental health and Pax8 partnershipsNetworking with new MSPsA busy vendor hallGreat food and drinkExciting updates from Pax8 and partners - plus the announcement of Pax8 Beyond EMEA 2025!Plus… the Team Tubb Travelogue Quiz is back! Can Richard and Lenka answer Gudrun's questions about Berlin?What are TubbTalk Travleogues?These are ad-hoc, bonus episodes of our regular TubbTalk podcast, recorded live at an event. A member of TeamTubb calls Richard and/or Lenka for an on-the-ground update on what they've learned and their highlights from the day.What to Know About Pax8 Beyond EMEAPax8 Beyond EMEA was the first time Pax8 brought their popular 'Beyond' event to Europe. Pax8 are a cloud marketplace, with a focus on building strong relationships with their MSP partners.The conference focused on three core themes: community, education and innovation. So speakers, vendors and exhibitors were specially chosen to share their expertise and really give value to attendees.

Gudrun Edhoer is Maths and History Teacher from Austria. Her students are 10 - 18 yrs old.   She has been teaching for 26 years and still enjoys every single lesson with my classes.   Onenote and Teams have been her permanent companions for almost 10 years. So her students were perfectly able to cope with distance learning during the pandemic.   A very good friend of her (Susanna Jilka) introduced her to the Austrian Microsoft community. And she can say that she is very proud that she had been an MIEE since 2017.   Her main goals as a teacher are to ignite my student's curiosity about learning, to show them the world beyond the classroom and help them to become well educated and happy adults.   

S5E9 - Tristant and Iseult: The Myth of Romantic Love.David presents a story that is a long time in the works. It is the story of Tristan and Iseult. The first European Romance story. It is a story I needed to explain to connect the Saga of Sigurd and the Dragon, with the love triangle drama of Sigurd, Brunhilde, and Gudrun. This episode combines interpretations from Jungian authors Robert Johnson, Robert Moore, Jean Shinoda Bolen, and my original thoughts on what we can learn from the meeting of the hero with the feminine. It helps explain where the hero as the Lover archetype goes wrong, why he cannot become a complete Warrior or King, and how dark agreements and resentment destroy love and our selves.I particularly want to give credit to Robert Johnson's book "We: The Psychology of Romantic Love" for his theory on the difference between "In Love" as a projection and "Love", the force which invigorates the universe. He used the Myth of Tristan and Iseult as a way to see the harm caused by these unhealthy projections. I believe it is my original idea to see the connection between Iseult the Fair and Gudrun, as a possible theory for how the meeting of the hero with the feminine goes wrong and what would be needed for a healthy union.I also bring in some of my thoughts on what Stoicism can tell us about healthy love and what Stoicism can learn from mythology about the appropriate role of romance and love.Please follow us on Instagram (@BetweenTwoRavens) if you want to hear about current projects we are working on and I hope to have plans for an online meet-up with fans to discuss Old Norse Poems in the coming months.Ways to support us:If you have been enjoying our show, please write a 5 star review on itunes to help spread our podcast to a wider audience:https://podcasts.apple.com/us/podcast/between-two-ravens-a-norse-mythology-podcast/id1604263830Buy Shawn a Beer or Coffee: https://ko-fi.com/tworavenpodcastFollow us or leave a message on Instagram:Instagram: (@BetweenTwoRavens): https://www.instagram.com/betweentworavens/Check out David's writing: Prosoche Project (www.prosocheproject.com).Walled Garden (https://thewalledgarden.com/davidalexander)Our podcast is part of The Walled Garden Podcast Network. The Walled Garden is committed to the pursuit of Truth, Wisdom, Virtue, and the Divine, wherever it might be found. Visit thewalledgarden.com to learn more.This show is part of the Spreaker Prime Network, if you are interested in advertising on this podcast, contact us at https://www.spreaker.com/show/5910787/advertisement

Fischer, Gudrun www.deutschlandfunk.de, Tag für Tag

Viktor känner ingenting för bromma flygplats nedläggningshot, att jobba med en alldeles för gammal person och de exploderande personsökarna och walkie talkiesarna.   Riva Comedy varje tisdag 19:00     @viktor_engberg jensfalk_ Tack till alla er som stöttar oss på https://www.patreon.com/falkengberg

Time for another Team Tubb Travelogue! This time, Gudrun Lauret catches up with Richard Tubb and Lenka Koppova, who are in London for UptimeLIVE.Grab a cup of your favourite tea or coffee, relax and join them for a fun conversation about the highlights from this big event.They share why UptimeLIVE is different from the usual MSP events, the new breed MSPs changing the industry and why the keynote speaker was so inspiring.Plus… the Team Tubb Travelogue Quiz is back! Can Richard, Lenka and special guest Bradley Munday answer Gudrun's questions about angels?UptimeLIVE is hosted by Bradley Munday and Jason Kemsley, the co-founders of outsourcing experts Uptime. They provide NOC, SOC, helpdesk and project support white-label solutions to busy MSPs.What is UptimeLIVE?The event featured two tracks: one with speakers and the other with deep-dive conversations. There were also plenty of networking opportunities, vendor and sponsor exhibits and an evening reception.Were you at UptimeLIVE too? Send us a voice recording with your highlights, and we will add your comments to our next Team Tubb Travelogue!

Seidel, Änne www.deutschlandfunk.de, Tag für Tag

Tracklist: Left Or Right - Laidback Luke, Matthew Nolan Fortnight - Taylor Swift, Post Malone, BLOND:ISH Lonely -De Munari Love Is A Drug - Armin van Buuren, Anne Gudrun, Agents Of Time Bitter Sweet - Gangs Type Lovers In A Past Life - Calvin Harris, Rag'n'Bone Man, Cassö Addicted - Ink, The Chainsmokers, Zerb Turn It Up - Franz Kolo, Yooniq Ain't Right (Right,Right) - Maution Sun Comes Up - Ekko, Timmy Trumpet, Sam Feldt, Joe Taylor

Click the link to learn more about Eat With Balance >>>>> https://rehsandayates.com/joineatwithbalance Eat With Balance opens again in January. Join the waitlist to be first notified! Click here to register.

Gudrun Wu Snyder, the founder of Moon Rabbit Acupuncture, explains how acupuncture works—scientifically and philosophically. We discuss how this modality of Traditional Chinese Medicine (TCM) can help with allergy symptoms, collagen boosting, complexion brightening, constipation, and more. Plus: ear seeding, how acupuncture plays into cancer treatment, and what's really going on during a lymphatic massage.Products mentioned in this episode (including Moon Rabbit Ear Seeding Kits!): shopmy.us/collections/487669Episode recap with links: fatmascara.com/blog/gudrun-snyderSponsor links & discount codes: fatmascara.com/sponsorsPrivate Facebook Group: Fat Mascara Raising a WandTikTok & Instagram: @fatmascara, @jenn_edit, @jessicamatlinSubmit a "Raise A Wand" product recommendation and be featured on the show: email info@fatmascara.com or leave a voicemail at 646-481-8182 Become a member at https://plus.acast.com/s/fatmascara. Hosted on Acast. See acast.com/privacy for more information.

Today in part 1 of 3 of the student success series, you'll hear from my student Gudrun who learned to rewire her brain to make triggers work for her instead of against her to have more freedom in her eating and life. In this episode Gudrun shares…..The moment she was able to

Connect with Gudrun: 

We're getting into our frigid sailboat and exploring The Snow-Walker's Son, by Catherine Fisher! Jessa and Thorkil are banished to a forgotten hall in the far North when their fathers attempt to overthrow the current jarl, a pretender to the throne. The false jarl happens to be married to Gudrun, a terrifying ice sorceress who previously sent her own son to the same dark fate. Her son Kari is said to be a twisted monster, but Jessa and Thorkil discover that he's much more complex - and get swept up in a plot to right Gudrun's many wrongs. Grace and Madeleine delve deep into Grendel parallels, the potential alignment of a snake that encircles the world, and continue to love a cold witch. Join us!Note - This is the first book in what is now packaged as a single volume titled Snow-Walker.EPISODE MEDIAGrendel by John GardnerMUSIC - Pippin the Hunchback and Thatched Villagers by Kevin MacLeod (incompetech.com) - Licensed under Creative Commons: By Attribution 3.0 License http://creativecommons.org/licenses/by/3.0/