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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.

Qophii kana gubbaatti, Jaal Dhugaasaan: - Jijjiirama bifa gara-garaa mootummaan DARGU gaggeessaa ture sun hagam qabsoo gaggeessaa turtan irratti dhiibbaa qabaata ture? - Lola humna warra AIBO wojjin godhamaa tureefii dhiibbaa inni fide - Mootummaa Cehumsaa keessaa erga ABOn baafame booda haala qabsoon hidhanno itti gaggeefamaa turefii seenaa heddu kabiroorratti yaadasaa nuunqooddata. Dhihaadhaa!

How should broadly liberal democratic societies stop illiberal and antidemocratic views from gaining influence while honouring liberal democratic values? This question has become particularly pressing after the recent successes of right-wing populist leaders and parties across Europe, in the US, and beyond. Politicizing Political Liberalism: On the Containment of Illiberal and Antidemocratic Views (Oxford University Press, 2024) by Alasia Nuti and Gabriele Badano develops a normative account of liberal democratic self-defence that denounces the failures of real-world societies without excusing those supporting illiberal and antidemocratic political actors. This account is innovative in focusing not only on the role of the state but also on the duties of nonstate actors including citizens, partisans, and municipalities. Consequently, it also addresses cases where the central government has at least been partly captured by illiberal and antidemocratic agents. Gabriele Badano and Alasia Nuti's approach builds on John Rawls's treatment of political liberalism and his awareness of the need to 'contain' unreasonable views, that is, views denying that society should treat every person as free and equal through a mutually acceptable system of social cooperation where pluralism is to be expected. The authors offer original solutions to vexed problems within political liberalism by putting forward a new account of the relation between ideal and non-ideal theory, explaining why it is justifiable to exclude unreasonable persons from the constituency of public reason, and showing that the strictures of public reason do not apply to those suffering from severe injustice. In doing so, the book further politicizes political liberalism and turns it into a framework that can insightfully respond to the challenges of real politics. Alasia Nuti is senior Lecturer in Political Theory at the University of York. Her work is situated at the intersection of analytical political theory, critical theory, gender studies and critical race theory Morteza Hajizadeh is a Ph.D. graduate in English from the University of Auckland in New Zealand. His research interests are Cultural Studies; Critical Theory; Environmental History; Medieval (Intellectual) History; Gothic Studies; 18th and 19th Century British Literature.  Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/european-studies

How should broadly liberal democratic societies stop illiberal and antidemocratic views from gaining influence while honouring liberal democratic values? This question has become particularly pressing after the recent successes of right-wing populist leaders and parties across Europe, in the US, and beyond. Politicizing Political Liberalism: On the Containment of Illiberal and Antidemocratic Views (Oxford University Press, 2024) by Alasia Nuti and Gabriele Badano develops a normative account of liberal democratic self-defence that denounces the failures of real-world societies without excusing those supporting illiberal and antidemocratic political actors. This account is innovative in focusing not only on the role of the state but also on the duties of nonstate actors including citizens, partisans, and municipalities. Consequently, it also addresses cases where the central government has at least been partly captured by illiberal and antidemocratic agents. Gabriele Badano and Alasia Nuti's approach builds on John Rawls's treatment of political liberalism and his awareness of the need to 'contain' unreasonable views, that is, views denying that society should treat every person as free and equal through a mutually acceptable system of social cooperation where pluralism is to be expected. The authors offer original solutions to vexed problems within political liberalism by putting forward a new account of the relation between ideal and non-ideal theory, explaining why it is justifiable to exclude unreasonable persons from the constituency of public reason, and showing that the strictures of public reason do not apply to those suffering from severe injustice. In doing so, the book further politicizes political liberalism and turns it into a framework that can insightfully respond to the challenges of real politics. Alasia Nuti is senior Lecturer in Political Theory at the University of York. Her work is situated at the intersection of analytical political theory, critical theory, gender studies and critical race theory Morteza Hajizadeh is a Ph.D. graduate in English from the University of Auckland in New Zealand. His research interests are Cultural Studies; Critical Theory; Environmental History; Medieval (Intellectual) History; Gothic Studies; 18th and 19th Century British Literature.  Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/british-studies

How should broadly liberal democratic societies stop illiberal and antidemocratic views from gaining influence while honouring liberal democratic values? This question has become particularly pressing after the recent successes of right-wing populist leaders and parties across Europe, in the US, and beyond. Politicizing Political Liberalism: On the Containment of Illiberal and Antidemocratic Views (Oxford University Press, 2024) by Alasia Nuti and Gabriele Badano develops a normative account of liberal democratic self-defence that denounces the failures of real-world societies without excusing those supporting illiberal and antidemocratic political actors. This account is innovative in focusing not only on the role of the state but also on the duties of nonstate actors including citizens, partisans, and municipalities. Consequently, it also addresses cases where the central government has at least been partly captured by illiberal and antidemocratic agents. Gabriele Badano and Alasia Nuti's approach builds on John Rawls's treatment of political liberalism and his awareness of the need to 'contain' unreasonable views, that is, views denying that society should treat every person as free and equal through a mutually acceptable system of social cooperation where pluralism is to be expected. The authors offer original solutions to vexed problems within political liberalism by putting forward a new account of the relation between ideal and non-ideal theory, explaining why it is justifiable to exclude unreasonable persons from the constituency of public reason, and showing that the strictures of public reason do not apply to those suffering from severe injustice. In doing so, the book further politicizes political liberalism and turns it into a framework that can insightfully respond to the challenges of real politics. Alasia Nuti is senior Lecturer in Political Theory at the University of York. Her work is situated at the intersection of analytical political theory, critical theory, gender studies and critical race theory Morteza Hajizadeh is a Ph.D. graduate in English from the University of Auckland in New Zealand. His research interests are Cultural Studies; Critical Theory; Environmental History; Medieval (Intellectual) History; Gothic Studies; 18th and 19th Century British Literature.  Learn more about your ad choices. Visit megaphone.fm/adchoices

How should broadly liberal democratic societies stop illiberal and antidemocratic views from gaining influence while honouring liberal democratic values? This question has become particularly pressing after the recent successes of right-wing populist leaders and parties across Europe, in the US, and beyond. Politicizing Political Liberalism: On the Containment of Illiberal and Antidemocratic Views (Oxford University Press, 2024) by Alasia Nuti and Gabriele Badano develops a normative account of liberal democratic self-defence that denounces the failures of real-world societies without excusing those supporting illiberal and antidemocratic political actors. This account is innovative in focusing not only on the role of the state but also on the duties of nonstate actors including citizens, partisans, and municipalities. Consequently, it also addresses cases where the central government has at least been partly captured by illiberal and antidemocratic agents. Gabriele Badano and Alasia Nuti's approach builds on John Rawls's treatment of political liberalism and his awareness of the need to 'contain' unreasonable views, that is, views denying that society should treat every person as free and equal through a mutually acceptable system of social cooperation where pluralism is to be expected. The authors offer original solutions to vexed problems within political liberalism by putting forward a new account of the relation between ideal and non-ideal theory, explaining why it is justifiable to exclude unreasonable persons from the constituency of public reason, and showing that the strictures of public reason do not apply to those suffering from severe injustice. In doing so, the book further politicizes political liberalism and turns it into a framework that can insightfully respond to the challenges of real politics. Alasia Nuti is senior Lecturer in Political Theory at the University of York. Her work is situated at the intersection of analytical political theory, critical theory, gender studies and critical race theory Morteza Hajizadeh is a Ph.D. graduate in English from the University of Auckland in New Zealand. His research interests are Cultural Studies; Critical Theory; Environmental History; Medieval (Intellectual) History; Gothic Studies; 18th and 19th Century British Literature.  Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

How should broadly liberal democratic societies stop illiberal and antidemocratic views from gaining influence while honouring liberal democratic values? This question has become particularly pressing after the recent successes of right-wing populist leaders and parties across Europe, in the US, and beyond. Politicizing Political Liberalism: On the Containment of Illiberal and Antidemocratic Views (Oxford University Press, 2024) by Alasia Nuti and Gabriele Badano develops a normative account of liberal democratic self-defence that denounces the failures of real-world societies without excusing those supporting illiberal and antidemocratic political actors. This account is innovative in focusing not only on the role of the state but also on the duties of nonstate actors including citizens, partisans, and municipalities. Consequently, it also addresses cases where the central government has at least been partly captured by illiberal and antidemocratic agents. Gabriele Badano and Alasia Nuti's approach builds on John Rawls's treatment of political liberalism and his awareness of the need to 'contain' unreasonable views, that is, views denying that society should treat every person as free and equal through a mutually acceptable system of social cooperation where pluralism is to be expected. The authors offer original solutions to vexed problems within political liberalism by putting forward a new account of the relation between ideal and non-ideal theory, explaining why it is justifiable to exclude unreasonable persons from the constituency of public reason, and showing that the strictures of public reason do not apply to those suffering from severe injustice. In doing so, the book further politicizes political liberalism and turns it into a framework that can insightfully respond to the challenges of real politics. Alasia Nuti is senior Lecturer in Political Theory at the University of York. Her work is situated at the intersection of analytical political theory, critical theory, gender studies and critical race theory Morteza Hajizadeh is a Ph.D. graduate in English from the University of Auckland in New Zealand. His research interests are Cultural Studies; Critical Theory; Environmental History; Medieval (Intellectual) History; Gothic Studies; 18th and 19th Century British Literature.  Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/political-science

How should broadly liberal democratic societies stop illiberal and antidemocratic views from gaining influence while honouring liberal democratic values? This question has become particularly pressing after the recent successes of right-wing populist leaders and parties across Europe, in the US, and beyond. Politicizing Political Liberalism: On the Containment of Illiberal and Antidemocratic Views (Oxford University Press, 2024) by Alasia Nuti and Gabriele Badano develops a normative account of liberal democratic self-defence that denounces the failures of real-world societies without excusing those supporting illiberal and antidemocratic political actors. This account is innovative in focusing not only on the role of the state but also on the duties of nonstate actors including citizens, partisans, and municipalities. Consequently, it also addresses cases where the central government has at least been partly captured by illiberal and antidemocratic agents. Gabriele Badano and Alasia Nuti's approach builds on John Rawls's treatment of political liberalism and his awareness of the need to 'contain' unreasonable views, that is, views denying that society should treat every person as free and equal through a mutually acceptable system of social cooperation where pluralism is to be expected. The authors offer original solutions to vexed problems within political liberalism by putting forward a new account of the relation between ideal and non-ideal theory, explaining why it is justifiable to exclude unreasonable persons from the constituency of public reason, and showing that the strictures of public reason do not apply to those suffering from severe injustice. In doing so, the book further politicizes political liberalism and turns it into a framework that can insightfully respond to the challenges of real politics. Alasia Nuti is senior Lecturer in Political Theory at the University of York. Her work is situated at the intersection of analytical political theory, critical theory, gender studies and critical race theory Morteza Hajizadeh is a Ph.D. graduate in English from the University of Auckland in New Zealand. His research interests are Cultural Studies; Critical Theory; Environmental History; Medieval (Intellectual) History; Gothic Studies; 18th and 19th Century British Literature.  Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/critical-theory

How should broadly liberal democratic societies stop illiberal and antidemocratic views from gaining influence while honouring liberal democratic values? This question has become particularly pressing after the recent successes of right-wing populist leaders and parties across Europe, in the US, and beyond. Politicizing Political Liberalism: On the Containment of Illiberal and Antidemocratic Views (Oxford University Press, 2024) by Alasia Nuti and Gabriele Badano develops a normative account of liberal democratic self-defence that denounces the failures of real-world societies without excusing those supporting illiberal and antidemocratic political actors. This account is innovative in focusing not only on the role of the state but also on the duties of nonstate actors including citizens, partisans, and municipalities. Consequently, it also addresses cases where the central government has at least been partly captured by illiberal and antidemocratic agents. Gabriele Badano and Alasia Nuti's approach builds on John Rawls's treatment of political liberalism and his awareness of the need to 'contain' unreasonable views, that is, views denying that society should treat every person as free and equal through a mutually acceptable system of social cooperation where pluralism is to be expected. The authors offer original solutions to vexed problems within political liberalism by putting forward a new account of the relation between ideal and non-ideal theory, explaining why it is justifiable to exclude unreasonable persons from the constituency of public reason, and showing that the strictures of public reason do not apply to those suffering from severe injustice. In doing so, the book further politicizes political liberalism and turns it into a framework that can insightfully respond to the challenges of real politics. Alasia Nuti is senior Lecturer in Political Theory at the University of York. Her work is situated at the intersection of analytical political theory, critical theory, gender studies and critical race theory Morteza Hajizadeh is a Ph.D. graduate in English from the University of Auckland in New Zealand. His research interests are Cultural Studies; Critical Theory; Environmental History; Medieval (Intellectual) History; Gothic Studies; 18th and 19th Century British Literature.  Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/intellectual-history

How should broadly liberal democratic societies stop illiberal and antidemocratic views from gaining influence while honouring liberal democratic values? This question has become particularly pressing after the recent successes of right-wing populist leaders and parties across Europe, in the US, and beyond. Politicizing Political Liberalism: On the Containment of Illiberal and Antidemocratic Views (Oxford University Press, 2024) by Alasia Nuti and Gabriele Badano develops a normative account of liberal democratic self-defence that denounces the failures of real-world societies without excusing those supporting illiberal and antidemocratic political actors. This account is innovative in focusing not only on the role of the state but also on the duties of nonstate actors including citizens, partisans, and municipalities. Consequently, it also addresses cases where the central government has at least been partly captured by illiberal and antidemocratic agents. Gabriele Badano and Alasia Nuti's approach builds on John Rawls's treatment of political liberalism and his awareness of the need to 'contain' unreasonable views, that is, views denying that society should treat every person as free and equal through a mutually acceptable system of social cooperation where pluralism is to be expected. The authors offer original solutions to vexed problems within political liberalism by putting forward a new account of the relation between ideal and non-ideal theory, explaining why it is justifiable to exclude unreasonable persons from the constituency of public reason, and showing that the strictures of public reason do not apply to those suffering from severe injustice. In doing so, the book further politicizes political liberalism and turns it into a framework that can insightfully respond to the challenges of real politics. Alasia Nuti is senior Lecturer in Political Theory at the University of York. Her work is situated at the intersection of analytical political theory, critical theory, gender studies and critical race theory Morteza Hajizadeh is a Ph.D. graduate in English from the University of Auckland in New Zealand. His research interests are Cultural Studies; Critical Theory; Environmental History; Medieval (Intellectual) History; Gothic Studies; 18th and 19th Century British Literature.  Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/american-studies

How should broadly liberal democratic societies stop illiberal and antidemocratic views from gaining influence while honouring liberal democratic values? This question has become particularly pressing after the recent successes of right-wing populist leaders and parties across Europe, in the US, and beyond. Politicizing Political Liberalism: On the Containment of Illiberal and Antidemocratic Views (Oxford University Press, 2024) by Alasia Nuti and Gabriele Badano develops a normative account of liberal democratic self-defence that denounces the failures of real-world societies without excusing those supporting illiberal and antidemocratic political actors. This account is innovative in focusing not only on the role of the state but also on the duties of nonstate actors including citizens, partisans, and municipalities. Consequently, it also addresses cases where the central government has at least been partly captured by illiberal and antidemocratic agents. Gabriele Badano and Alasia Nuti's approach builds on John Rawls's treatment of political liberalism and his awareness of the need to 'contain' unreasonable views, that is, views denying that society should treat every person as free and equal through a mutually acceptable system of social cooperation where pluralism is to be expected. The authors offer original solutions to vexed problems within political liberalism by putting forward a new account of the relation between ideal and non-ideal theory, explaining why it is justifiable to exclude unreasonable persons from the constituency of public reason, and showing that the strictures of public reason do not apply to those suffering from severe injustice. In doing so, the book further politicizes political liberalism and turns it into a framework that can insightfully respond to the challenges of real politics. Alasia Nuti is senior Lecturer in Political Theory at the University of York. Her work is situated at the intersection of analytical political theory, critical theory, gender studies and critical race theory Morteza Hajizadeh is a Ph.D. graduate in English from the University of Auckland in New Zealand. His research interests are Cultural Studies; Critical Theory; Environmental History; Medieval (Intellectual) History; Gothic Studies; 18th and 19th Century British Literature.  Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/politics-and-polemics

How should broadly liberal democratic societies stop illiberal and antidemocratic views from gaining influence while honouring liberal democratic values? This question has become particularly pressing after the recent successes of right-wing populist leaders and parties across Europe, in the US, and beyond. Politicizing Political Liberalism: On the Containment of Illiberal and Antidemocratic Views (Oxford University Press, 2024) by Alasia Nuti and Gabriele Badano develops a normative account of liberal democratic self-defence that denounces the failures of real-world societies without excusing those supporting illiberal and antidemocratic political actors. This account is innovative in focusing not only on the role of the state but also on the duties of nonstate actors including citizens, partisans, and municipalities. Consequently, it also addresses cases where the central government has at least been partly captured by illiberal and antidemocratic agents. Gabriele Badano and Alasia Nuti's approach builds on John Rawls's treatment of political liberalism and his awareness of the need to 'contain' unreasonable views, that is, views denying that society should treat every person as free and equal through a mutually acceptable system of social cooperation where pluralism is to be expected. The authors offer original solutions to vexed problems within political liberalism by putting forward a new account of the relation between ideal and non-ideal theory, explaining why it is justifiable to exclude unreasonable persons from the constituency of public reason, and showing that the strictures of public reason do not apply to those suffering from severe injustice. In doing so, the book further politicizes political liberalism and turns it into a framework that can insightfully respond to the challenges of real politics. Alasia Nuti is senior Lecturer in Political Theory at the University of York. Her work is situated at the intersection of analytical political theory, critical theory, gender studies and critical race theory Morteza Hajizadeh is a Ph.D. graduate in English from the University of Auckland in New Zealand. His research interests are Cultural Studies; Critical Theory; Environmental History; Medieval (Intellectual) History; Gothic Studies; 18th and 19th Century British Literature.  Learn more about your ad choices. Visit megaphone.fm/adchoices

How should broadly liberal democratic societies stop illiberal and antidemocratic views from gaining influence while honouring liberal democratic values? This question has become particularly pressing after the recent successes of right-wing populist leaders and parties across Europe, in the US, and beyond. Politicizing Political Liberalism: On the Containment of Illiberal and Antidemocratic Views (Oxford University Press, 2024) by Alasia Nuti and Gabriele Badano develops a normative account of liberal democratic self-defence that denounces the failures of real-world societies without excusing those supporting illiberal and antidemocratic political actors. This account is innovative in focusing not only on the role of the state but also on the duties of nonstate actors including citizens, partisans, and municipalities. Consequently, it also addresses cases where the central government has at least been partly captured by illiberal and antidemocratic agents. Gabriele Badano and Alasia Nuti's approach builds on John Rawls's treatment of political liberalism and his awareness of the need to 'contain' unreasonable views, that is, views denying that society should treat every person as free and equal through a mutually acceptable system of social cooperation where pluralism is to be expected. The authors offer original solutions to vexed problems within political liberalism by putting forward a new account of the relation between ideal and non-ideal theory, explaining why it is justifiable to exclude unreasonable persons from the constituency of public reason, and showing that the strictures of public reason do not apply to those suffering from severe injustice. In doing so, the book further politicizes political liberalism and turns it into a framework that can insightfully respond to the challenges of real politics. Alasia Nuti is senior Lecturer in Political Theory at the University of York. Her work is situated at the intersection of analytical political theory, critical theory, gender studies and critical race theory Morteza Hajizadeh is a Ph.D. graduate in English from the University of Auckland in New Zealand. His research interests are Cultural Studies; Critical Theory; Environmental History; Medieval (Intellectual) History; Gothic Studies; 18th and 19th Century British Literature.  Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/book-of-the-day

How should broadly liberal democratic societies stop illiberal and antidemocratic views from gaining influence while honouring liberal democratic values? This question has become particularly pressing after the recent successes of right-wing populist leaders and parties across Europe, in the US, and beyond. Politicizing Political Liberalism: On the Containment of Illiberal and Antidemocratic Views (Oxford University Press, 2024) by Alasia Nuti and Gabriele Badano develops a normative account of liberal democratic self-defence that denounces the failures of real-world societies without excusing those supporting illiberal and antidemocratic political actors. This account is innovative in focusing not only on the role of the state but also on the duties of nonstate actors including citizens, partisans, and municipalities. Consequently, it also addresses cases where the central government has at least been partly captured by illiberal and antidemocratic agents. Gabriele Badano and Alasia Nuti's approach builds on John Rawls's treatment of political liberalism and his awareness of the need to 'contain' unreasonable views, that is, views denying that society should treat every person as free and equal through a mutually acceptable system of social cooperation where pluralism is to be expected. The authors offer original solutions to vexed problems within political liberalism by putting forward a new account of the relation between ideal and non-ideal theory, explaining why it is justifiable to exclude unreasonable persons from the constituency of public reason, and showing that the strictures of public reason do not apply to those suffering from severe injustice. In doing so, the book further politicizes political liberalism and turns it into a framework that can insightfully respond to the challenges of real politics. Alasia Nuti is senior Lecturer in Political Theory at the University of York. Her work is situated at the intersection of analytical political theory, critical theory, gender studies and critical race theory Morteza Hajizadeh is a Ph.D. graduate in English from the University of Auckland in New Zealand. His research interests are Cultural Studies; Critical Theory; Environmental History; Medieval (Intellectual) History; Gothic Studies; 18th and 19th Century British Literature. 

A conversation with Alasia Nuti about her recent co-authored book, "Politicizing Political Liberalism: on the Containment of Illiberal and Antidemocratic Views" (Oxford UP).

Yes! We have our first guest on the podcast, art advisor Liberté Nuti. As often happens in the art world, we are not always familiar with each other's jobs. And forget telling people you are a podcaster! (People think you are an influencer selling hair products online.) So let's start to dismantle some myths and find out more about what it is that us intermediaries of the art world do.Joana goes on this quest on her own this time, as Emily is on sick leave, and it is Joana's expertise after all, to interview people and do talks about art topics.Joana asks Liberté about all theses things and ends the conversation on the topic of dream exhibitions. What are they? How do they impact our lives and why?To know more about Liberté Nuti: @libertenutiTo follow us: @exhibitionistas_podcastBecome a member of our podcast on Patreon and support us if you can: https://www.patreon.com/c/exhibitionistaspodcast/membershipMusic by: @Sarturn

Nel cuore della mattinata, i microfoni di Casa Radio hanno accolto due ospiti d'eccezione: Clara Collalti (produttrice di podcast, Officina del Podcast) ed Emiliano Cribari (regista e scrittore), protagonisti della rubrica "Bricks and Music". Ma non erano soli. Al centro dell'attenzione, un nome che ha segnato a fuoco la storia del cinema italiano: Francesco Nuti.L'intervista ha rappresentato un viaggio intimo e coinvolgente nella vita e nell'arte di Nuti, condotto con maestria e passione dai due affiatati conduttori. Tra ricordi, riflessioni e aneddoti, Cribari ha svelato i retroscena del percorso artistico e personale di Francesco Nuti, dalle prime esperienze nei "Giancattivi" fino agli ultimi progetti cinematografici.Le pellicole dell'attore e regista toscano hanno saputo catturare l'essenza dell'epoca in cui sono state realizzate, diventando autentiche icone della cultura popolare.Un momento clou è stato l'anteprima del podcast "Zitti e Nuti" di Emiliano Cribari, prodotto da Officine del Podcast. Questa narrazione avvincente e ricca di spunti saprà trasportare il pubblico attraverso gli alti e bassi della vita di Nuti, restituendo la profondità e la complessità del suo percorso artistico.Questa intervista ha rappresentato un'occasione unica per riscoprire e celebrare un'icona del cinema italiano, offrendo al pubblico una prospettiva intima e autentica sulle passioni, le sfide e i trionfi di Francesco Nuti.La presenza del podcast "Zitti e Nuti" al Festival del Cinema di Trento ha reso ulteriormente omaggio alla carriera straordinaria di Francesco Nuti, assimilato dall'autore, a Roberto Baggio per estro e sensibilità.

"Ho soltanto una gran voglia di raccontare storie semplici, come sono appunto i casi della vita, incontri e separazioni. Mi interessa provocare un certo tipo di emozioni" Da tempo volevo realizzare questa rassegna e, dopo la sua recente dipartita, mi sono deciso e quindi ecco qui una rassegna dedicata alla carriera dello sfortunato e brillante artista noto come Francesco Nuti. --- Send in a voice message: https://podcasters.spotify.com/pod/show/madmike3/message

"Ho soltanto una gran voglia di raccontare storie semplici, come sono appunto i casi della vita, incontri e separazioni. Mi interessa provocare un certo tipo di emozioni" Da tempo volevo realizzare questa rassegna e, dopo la sua recente dipartita, mi sono deciso e quindi ecco qui una rassegna dedicata alla carriera dello sfortunato e brillante artista noto come Francesco Nuti. Ultimo film diretto da Nuti per il cinema e chiusura tutt'altro che ingloriosa della sua carriera da regista. Pur cercando di mantenersi coerente con lo stile e i temi tipici della sua filmografia, Nuti stavolta cambia "bersaglio" e riesce a costruire (proprio come in "Io amo Andrea") un racconto universale e persino brillante su come il rapporto tra gli adulti e i giovani (e tra genitori e figli) diventi ogni giorno sempre più complicato. --- Send in a voice message: https://podcasters.spotify.com/pod/show/madmike3/message

Vaut-il mieux consommer de l'eau en bouteille ou de l'eau du robinet d'un point de vue qualité ? Nutritionnel ? Environnemental ? Emission réalisée par Antoine CHAMPETIER DE RIBES, Etienne DE LA BURGADE et Anaëlle TARTERA de l'Ecole d'ingénieurs de PURPAN. Avec l'intervention de Magali PETER, enseignante-chercheuse en Nutrition. Technique et post-prod : François BERCHENKO et Thomas DELAFOSSE pour Campus FM. Remerciements : Agence de l'eau Adour-Garonne ; Ecole d'ingénieurs de Purpan. Sources : CNRS, 2023. Eau potable : eaux de source et eaux minerales. [en ligne]. 2023. Disponible à l'adresse : https://www.cnrs.fr/cw/dossiers/doseau/decouv/potable/sourceMin.html GUILHAMET, Virgile, 2023. Eau du robinet contaminée en Occitanie : faut-il avoir peur de la présence de « polluants éternels » ? ladepeche.fr [en ligne]. 2023. Disponible à l'adresse : https://www.ladepeche.fr/2023/10/21/ne-pas-publier-eau-du-robinet-contaminee-en-occitanie-faut-il-avoir-peur-de-la-presence-de-polluants-eternels-11532221.php NUTI, Pascal, 2023. Quels sont les impacts environnementaux des bouteilles d'eau en plastique et comment les éviter. Lavie.bio [en ligne]. 5 avril 2023. Disponible à l'adresse : https://lavie.bio/quels-sont-les-impacts-environnementaux-des-bouteilles-deau-en-plastique-et-comment-les-eviter/ PUSSET, Christophe, 2023. Qualité de l'eau : que boit-on vraiment ? - France Bleu. ici, par France Bleu et France 3 [en ligne]. 2023. Disponible à l'adresse : https://www.francebleu.fr/emissions/a-votre-service-par-france-bleu-poitou/qualite-de-l-eau-que-boit-on-vraiment-2985531 WIKIPÉDIA, 2023. Eau potable. Wikipédia [en ligne]. Disponible à l'adresse : https://fr.wikipedia.org/w/index.php?title=Eau_potable&oldid=210483562

"Ho soltanto una gran voglia di raccontare storie semplici, come sono appunto i casi della vita, incontri e separazioni. Mi interessa provocare un certo tipo di emozioni" Da tempo volevo realizzare questa rassegna e, dopo la sua recente dipartita, mi sono deciso e quindi ecco qui una rassegna dedicata alla carriera dello sfortunato e brillante artista noto come Francesco Nuti. Nonostante gli insuccessi, Nuti non si arrende e continua a proporre dei film temerari. Film che purtroppo non ottengono il riconoscimento sperato ed è un vero peccato poiché "Io amo Andrea" è un titolo davvero riuscito della filmografia di Nuti e persino un film avanti coi tempi. --- Send in a voice message: https://podcasters.spotify.com/pod/show/madmike3/message

"Ho soltanto una gran voglia di raccontare storie semplici, come sono appunto i casi della vita, incontri e separazioni. Mi interessa provocare un certo tipo di emozioni" Da tempo volevo realizzare questa rassegna e, dopo la sua recente dipartita, mi sono deciso e quindi ecco qui una rassegna dedicata alla carriera dello sfortunato e brillante artista noto come Francesco Nuti. Dopo il fiasco di "Occhiopinocchio", Nuti cerca di proporre al pubblico un film "vecchio stile", riprendendo la sua passione per il biliardo. Il risultato è un film abbastanza dimenticabile e poco stimolante ovvero "Il Signor Quindicipalle". --- Send in a voice message: https://podcasters.spotify.com/pod/show/madmike3/message

"Ho soltanto una gran voglia di raccontare storie semplici, come sono appunto i casi della vita, incontri e separazioni. Mi interessa provocare un certo tipo di emozioni" Da tempo volevo realizzare questa rassegna e, dopo la sua recente dipartita, mi sono deciso e quindi ecco qui una rassegna dedicata alla carriera dello sfortunato e brillante artista noto come Francesco Nuti. Sarebbe arrivato il momento e quindi eccoci qui. Il punto di non ritorno della carriera di Nuti. Uno dei più grandi fallimenti del Cinema Italiano e la fine del buon rapporto tra Nuti e...beh, tutti. "OcchioPinocchio" è un film in cui l'ambizione di Nuti esplode e purtroppo coinvolgendo tanti soldi e per questo non verrà mai perdonato. E il film? Com'è? Andiamo a vedere. --- Send in a voice message: https://podcasters.spotify.com/pod/show/madmike3/message

"Ho soltanto una gran voglia di raccontare storie semplici, come sono appunto i casi della vita, incontri e separazioni. Mi interessa provocare un certo tipo di emozioni" Da tempo volevo realizzare questa rassegna e, dopo la sua recente dipartita, mi sono deciso e quindi ecco qui una rassegna dedicata alla carriera dello sfortunato e brillante artista noto come Francesco Nuti. Anni '90. Tempi duri per Nuti ma non sin da subito poiché "Donne con le gonne" fu un successo di pubblico ma già qualcosa stava cambiando. Nuti stava cambiando e forse anche il Cinema italiano. A parte questo, "Donne con le gonne" è un film scomodo eppure coraggioso (persino in anticipo coi tempi) che affronta direttamente i rapporti umani con perfidia e intelligenza. --- Send in a voice message: https://podcasters.spotify.com/pod/show/madmike3/message

"Ho soltanto una gran voglia di raccontare storie semplici, come sono appunto i casi della vita, incontri e separazioni. Mi interessa provocare un certo tipo di emozioni" Da tempo volevo realizzare questa rassegna e, dopo la sua recente dipartita, mi sono deciso e quindi ecco qui una rassegna dedicata alla carriera dello sfortunato e brillante artista noto come Francesco Nuti. Gli anni '80 stanno per concludersi e con essi anche il Cinema Italiano, Nuti compreso. "Willy Signori e vengo da lontano" viene solitamente indicato dagli spettatori come il film che mostra i primi segni di crisi creativa per Nuti ma la verità è che Nuti stava cercando di spingersi oltre e purtroppo il pubblico non lo seguì. --- Send in a voice message: https://podcasters.spotify.com/pod/show/madmike3/message

È passato a trovarci il sindaco di Aosta, Gianni Nuti, con cui abbiamo chiacchierato di attualità, prospettive e dei primi bilanci della sua amministrazione.

"Ho soltanto una gran voglia di raccontare storie semplici, come sono appunto i casi della vita, incontri e separazioni. Mi interessa provocare un certo tipo di emozioni" Da tempo volevo realizzare questa rassegna e, dopo la sua recente dipartita, mi sono deciso e quindi ecco qui una rassegna dedicata alla carriera dello sfortunato e brillante artista noto come Francesco Nuti. Abbandonato il romanticismo dei suoi film precedenti e rincarando la dose di perfidia che rendeva il suo umorismo unico, Nuti offre al pubblico il suo film più scorretto e divertente. Un ritratto spregevole dei rapporti umani, servito con un'ironia pungente e scatenata. --- Send in a voice message: https://podcasters.spotify.com/pod/show/madmike3/message

"Ho soltanto una gran voglia di raccontare storie semplici, come sono appunto i casi della vita, incontri e separazioni. Mi interessa provocare un certo tipo di emozioni" Da tempo volevo realizzare questa rassegna e, dopo la sua recente dipartita, mi sono deciso e quindi ecco qui una rassegna dedicata alla carriera dello sfortunato e brillante artista noto come Francesco Nuti. Nuti torna a dirigere Ornella Muti e continua a raccontare i rapporti umani ma stavolta in un film notturno e "sospeso". Ecco a voi "Stregati". --- Send in a voice message: https://podcasters.spotify.com/pod/show/madmike3/message

La prima parte della sintesi dell'incontro "Facciamo semplice l'Italia. Parola ai territori" che si è tenuto venerdì 16 febbraio, nel Salone Maria Ida Viglino di Palazzo regionale, ad Aosta, con gli interventi iniziali del sindaco di Aosta Gianni Nuti, del presidente della Regione Renzo Testolin e del ministro per la Pubblica amministrazione, Paolo Zangrillo.

"Ho soltanto una gran voglia di raccontare storie semplici, come sono appunto i casi della vita, incontri e separazioni. Mi interessa provocare un certo tipo di emozioni" Da tempo volevo realizzare questa rassegna e, dopo la sua recente dipartita, mi sono deciso e quindi ecco qui una rassegna dedicata alla carriera dello sfortunato e brillante artista noto come Francesco Nuti. Non contento del suo esordio, Nuti decide di offrire al pubblico un'opera seconda diversa da quella precedente e il risultato è il dolceamaro "Tutta colpa del Paradiso". L'opera che sancisce l'inizio ufficiale di una carriera artistica complessa e affascinante. --- Send in a voice message: https://podcasters.spotify.com/pod/show/madmike3/message

"Ho soltanto una gran voglia di raccontare storie semplici, come sono appunto i casi della vita, incontri e separazioni. Mi interessa provocare un certo tipo di emozioni" Da tempo volevo realizzare questa rassegna e, dopo la sua recente dipartita, mi sono deciso e quindi ecco qui una rassegna dedicata alla carriera dello sfortunato e brillante artista noto come Francesco Nuti. Ha inizio ufficialmente la carrera da regista di Francesco Nuti con il seguito di quel "Io, Chiara e lo Scuro" di Maurizio Ponzi che aveva contribuito al successo dell'attore presso il grande pubblico. Nuti esordisce dietro la macchina da presa con un film semplice e romantico ma già intriso di quella malinconia che caratterizzerà la carriera di Nuti. --- Send in a voice message: https://podcasters.spotify.com/pod/show/madmike3/message

"Ho soltanto una gran voglia di raccontare storie semplici, come sono appunto i casi della vita, incontri e separazioni. Mi interessa provocare un certo tipo di emozioni" Da tempo volevo realizzare questa rassegna e, dopo la sua recente dipartita, mi sono deciso e quindi ecco qui una rassegna dedicata alla carriera dello sfortunato e brillante artista noto come Francesco Nuti. Tra i primi a valorizzare Francesco Nuti al Cinema come attore protagonista ci fu Maurizio Ponzi, regista di alcune commedie romantiche e non. Il titolo più rappresentativo e amato della collaborazione tra Ponzi e Nuti è senza ombra di dubbio l'amaro ma simpatico e tenero "Madonna che silenzio c'è stasera". --- Send in a voice message: https://podcasters.spotify.com/pod/show/madmike3/message

"Ho soltanto una gran voglia di raccontare storie semplici, come sono appunto i casi della vita, incontri e separazioni. Mi interessa provocare un certo tipo di emozioni" Da tempo volevo realizzare questa rassegna e, dopo la sua recente dipartita, mi sono deciso e quindi ecco qui una rassegna dedicata alla carriera dello sfortunato e brillante artista noto come Francesco Nuti. Cominciamo dal principio con l'esordio cinematografico di Nuti come attore, insieme ai suoi colleghi Giancattivi, con lo stralunato ed eccentrico "Ad Ovest di Paperino". --- Send in a voice message: https://podcasters.spotify.com/pod/show/madmike3/message

in compagnia di Denise Cicchitti Fabiana che insieme a Giovanni Nuti nel libro raccontano in maniera speciale la vita di Francesco Nuti...

La sintesi delle dichiarazioni del sindaco di Aosta, Gianni Nuti e della vice sindaca con delega al bilancio, Josette Borre, espresse durante la discussione delle mozioni collegate ed in conclusione dell'ultima seduta del Consiglio comunale del 2023, che si è tenuta nelle giornate di giovedì 28 e venerdì 29 dicembre, dove è stato approvato il bilancio di previsione 2024-2026 dell'Amministrazione comunale e la nota di aggiornamento al Documento unico di programmazione, con la replica del consigliere Giovanni Girardini.

In our latest bulletin, we cover the acquisition of a majority stake in Nuti Ivo by LVMH Métiers d'Art, optimism for footwear production growth in Pakistan and more.

Kurt Elling and Charlie Hunter are back, and they're SuperBoogieng! So are Jim Black and Kit Downes who are on a couple of new albums each. The playlist also features interesting new European projects, and albums that blend jazz with hip hop and music for the dance floor. The playlist features Kurt Elling, Charlie Hunter, Nate Smith; Federico Nuti; Julie Campiche [pictured]; Cedric Hanriot, Days; Matters Unkown, Miryam Solomon; Jim & The Schrimps; John Zorn, Jim Black; Kuhn Fu; Sebastian Rochford, Kit Downes; Pablo Held, Norma Winstone Detailed playlist available at https://spinitron.com/m/playlist/view/16955232 (from "Boogie Down" onward). Happy listening! Photo credit: Gerald Langer

Sudhakar Nuti, MD, MSc is a primary care doctor and public servant who seeks to use clinical medicine, science, and policy to improve the health of disadvantaged people in America. He trained in medicine at Massachusetts General Hospital during the height of the COVID pandemic and will start working in the New York public health care system later this year caring for people experiencing homelessness. He has done extensive research studying health disparities in the United States and has worked in the health departments of New York City and North Carolina to design and implement policies and programs to improve health equity. For his work he has been recognized as one of Forbes 30 Under 30 in healthcare, a 40 Under 40 Leader in Health by the National Minority Quality Forum, and a STAT Wunderkind. He obtained his BA and MD from Yale University and his MSc in public health from the London School of Hygiene and Tropical Medicine. Episode Mentions: I worry that burnout can't be reversed and has fundamentally changed me as a doctor and a person Follow Sudhakar: Twitter | LinkedIn Episode Website: https://mailchi.mp/designlabpod/sudhakarnuti More episode sources & links Sign-up for Design Lab Podcast's Newsletter Newsletter Archive Follow @DesignLabPod on Twitter Instagram and LinkedIn Follow @BonKu on Twitter & Instagram Check out the Health Design Lab Production by Robert Pugliese Cover Design by Eden Lew Theme song by Emmanuel Houston

Trentaseiesima puntata della terza stagione della rubrica, nel canale spreaker J-TACTICS, dedicata alle women ed alle giovanili della Juventus, J-WORLD.La lunga stagione della Primavera bianconera si ferma a un passo dall'atto finale: in Semifinale, a Sassuolo, vince la Roma, due a zero, nonostante una buona prova dei bianconeri, puniti da una rete per tempo.Finisce così.Di nuovo in semifinale, come in Youth League, e di nuovo fra gli applausi, per una bella partita e, soprattutto, una splendida stagione.Molto bene anche l'Under16 maschile, che nella gara di ritorno dei quarti di finale a Vinovo supera il Sassuolo con un netto 3-0; reti di Boufandar al 17' del primo tempo, raddoppio di Scienza all'11' della ripresa e tris a firma Nuti al 39'.L'Under19 femminile, vince l'andata dei quarti di finale nazionali, contro la San Marino Academy.Decide un gol di Pfattner al sesto della ripresa, che mette bene il discorso qualificazione per le bianconere.Ritorno previsto il 5 giugno.Vince a Brescia anche l'Under17 femminile, 0-4, e a Vinovo l'Under15 femminile, 3-1 contro il Genoa, con reti di Tosello, Di Bello e Iannaccone.Non mancherà poi uno sguardo ai prossimi impegni delle women e delle giovanili:Juve-Bologna Under17,(Andata Quarti di finale Playoff)Domenica 05 giugno, ore 15.Juve-S. Marino Academy Under19 femm.,(Ritorno quarti di finale Playoff)Domenica 05 giugno, ore 15.Freedom-Juve Under15 femm.,Sabato 04 giugno, ore 14.Anche quest'anno sarà nostra guida nel mondo Juve, il sempre competente e preciso amico Roberto Loforte, Fuori rosa TV.

Trentaquattresima puntata della terza stagione della rubrica, nel canale spreaker J-TACTICS, dedicata alle women ed alle giovanili della Juventus, J-WORLD.Vince ancora la Juventus Women l'ultima giornata di campionato.Il risultato è di 2-1 sul Milan con le reti di Zamanian e Pedersen.Le bianconere sono le prime a fermare il Milan che non aveva mai perso in questo girone di ritorno.Grande prova della squadra di Joe Montemurro che ora mette nel mirino la Coppa Italia.Altra impresa per la Juventus Under23 che, batte il Renate in trasferta grazie alla rete di Da Graca e conquista l'accesso al secondo turno dei playoff nazionali di Serie C. Continua il sogno promozione per i bianconeri di Zauli.La prima delle due sfide valide per i quarti di finale Playoff va al Padova.I biancoscudati si impongono 1-0 al Moccagatta al termine di una gara combattuta grazie al gol di Chiricò al 23' del secondo tempo e si portano in vantaggio in vista della gara di ritorno che deciderà chi accederà alla semifinale.I ragazzi dell'Under23 ci hanno provato fino all'ultimo, combattendo anche con la fatica, senza trovare però il guizzo per il pareggio.Si chiude con una cinquina alla SPAL la regular season della Juventus Under19.I bianconeri vincono 5-2 facendo registrare il miglior attacco del torneo con 68 reti segnate in 34 partite.Di Chibozo (doppietta), Bonetti, Cerri e Mbangula le reti di questo pomeriggio.La squadra di Mister Bonatti chiude, così, al quinto posto e nei quarti di finale dei playoff Scudetto affronterà l'Atalanta.Vittoria netta per la squadra allenata da Mister Panzanaro nel match valevole per la gara di andata degli ottavi di finale playoff. I bianconeri si impongono 5-2 contro i pari età del Torino.Decisive la doppietta di Finocchiaro e le reti di Boufandar, Pugno e Nuti.Gara di ritorno per i ragazzi dell'Under16 dominata sulla falsariga del match d'andata, 5-1 il risultato finale per i giovani bianconeri.L'Under15 pareggia 1-1 in casa contro il Bologna, anche in questo caso nell'incontro valido per l'andata degli ottavi di finale Scudetto.Felsinei avanti nel primo tempo con il gol di Mazzetti e raggiunti nella ripresa dalla rete di Merola.Gara di ritorno dominata dai ragazzi del Bologna, che sconfiggono i ragazzi dell'Under15 con un secco 3-0.A Borgaro, nell'ultima giornata della regular season, la Primavera femminile (Under19) supera 3-1 il Cittadella e vola a quota 58 punti in classifica.Di Beccari, nel primo tempo, di Lepera e Pfattner nella ripresa le marcature bianconere.Juve che chiude la competizione al primo posto, con tre punti di vantaggio sul Milan secondo.Ora, testa alla fase finale!Le ragazze dell'Under17 femminile che partecipano al campionato nazionale, superano con un perentorio 5-0 in trasferta le ragazze del Su Planu, nel match valido per la fase Interregionale.Roboante vittoria delle giovani bianconere dell'Under15 femminile che partecipano al campionato nazionale, 9-0 rifilato alle pari età del Monza, nel match valido per la fase Interregionale.Non mancherà poi uno sguardo ai prossimi impegni delle women e delle giovanili:Juve-Roma women,(Finale di Coppa Italia)Domenica 22 maggio, ore 14:30,Stadio Mazza-Ferrara.Padova-Juve Under23,(Gara di ritorno playoff nazionali)Sabato 21 maggio, ore 18,Stadio Euganeo-Padova.Juve-Torino Under17 femm.,Domenica 22 maggio, ore 17.Anche quest'anno sarà nostra guida nel mondo Juve, il sempre competente e preciso amico Roberto Loforte, Fuori rosa TV.

La fatica si allena, l'aspetto mentale si allena, il triathlon è la chiave!CRISTINA NUTIci racconterà come si sconfigge la paura di parlare della disabilità invisibile che per le si chiama sclerosi multipla. E di come ha scelto di costruire il suo benessere quotidiano grazie a un prezioso strumento, lo sport d'endurance e la triplice nello specifico.Cristina è la protagonista della puntata numero 196 di Passione Triathlon, intervistata da Dario Daddo Nardone in diretta, mercoledì 20 aprile 2022 dalle 21.00.Per rivedere e riascoltare, via podcast, tutte le puntate della rubrica, c'è la pagina ufficiale:https://www.mondotriathlon.it/passione#daddocè #mondotriathlon #ioTRIamo ❤️#triathlon #trilife #fczstyle#passionetriathlon

Eighty-seven percent of people surveyed are concerned about how the metaverse could affect their privacy. But 74% of these same folks would join or at least consider joining the metaverse. This according to a survey Nord Security published at the beginning of this year. The metaverse promises richer, more immersive online experiences. That means more data being collected, analyzed, and used to shape what we see and hear. And that means more chances for bad actors to invade our privacy. As the lines between on- and offline blur even more as the metaverse becomes more real, the risk of digital privacy breaches with physical world consequences go up, as well.How will folks protect themselves while diving into new online experiences we're all at least a little concerned about? David Nuti, Senior VP at Nord Security, joins the pod to discuss the state of personal privacy and data protection online as we dip our toes into the metaverse future. Learn some practical tips for staying safe(r) now, and things to bear in mind as the Web evolves and our online and offline identities merge even more. Bonus: David tells stories of ATMs spitting cash all over the street

Thank God It's Friday! Frederick Nuti, Co-Host of The Knight Light Podcast, is back with a film that sits smack bang in the middle of the horror/thriller/sci-fi Venn diagram. This week we dive into Ridley Scott's 2012 release, Prometheus. I hope that you enjoy this week's episode. See you next Friday! Follow TGIF - Twitter, Instagram, and Letterboxd Join the Discord Support on Ko-Fi Support TGIF: A Horror Movie Podcast by contributing to their Tip Jar: https://tips.pinecast.com/jar/tgif-a-horror-movie-podcast

Resident physician Sudhakar Nuti was almost too burnt out to write about burnout. He spent months working to find the energy to start his recent First Opinion essay on how the pandemic has aggravated the already dire mental health situation for many medical trainees around the country, including himself. "I feel like I've gone from doctor to debris," he wrote. Nuti joins "First Opinion Podcast" to further discuss how burnout happens during residency, and how the profession might address its systemic problems with systemic solutions.

This month we review everything there is to know about BPPV! Follow us on instagram @adoseofdizzypodcast References: Parnes, L. S., Agrawal, S. K., & Atlas, J. (2003). Diagnosis and management of benign paroxysmal positional vertigo (BPPV). Cmaj, 169(7), 681-693. Von Brevern, M., Bertholon, P., Brandt, T., Fife, T., Imai, T., Nuti, D., & Newman-Toker, D. (2015). Benign paroxysmal positional vertigo: diagnostic criteria. Journal of Vestibular Research, 25(3, 4), 105-117.

Listen in to learn about the Female Athletic Triad, how it affects women and where it comes from, and what can be done to prevent it. "If you're experiencing pain and you're not recovering, that's probably a good time to seek help." - Dr. Rathna Nuti. Waiver/legal notice: Information presented is the opinion of the host and guests and should not be considered medical advice. You should always consult your personal physician. Learn more about this episode of The Call Room with Dr. Robert Berry at www.inthecallroom.com/12