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        "event_title":"Auctions as Experiments (with Ryota Iijima, Yuhta Ishii, and Nicholas Wu)",
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        "combined_title":"Auctions as Experiments (with Ryota Iijima, Yuhta Ishii, and Nicholas Wu): Mira Frick, Princeton University",
        "event_subtitle":"Mira Frick, Princeton University",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"We study a seller who does not know the distribution of buyers\u2019 values, but can learn from observing their bids in an auction. Which auction formats provide better information about the value distribution? We show that among a large class of standard auctions (e.g., kth-price, all-pay), the first-price auction is (Lehmann) most informative. Thus, while all these auction formats yield the same expected static revenue, the first-price auction is preferred by a seller who can use today\u2019s bid observations to optimize revenue tomorrow.",
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        "tags":["Economics","seminar","Theory"],
        "website":"http:\/\/www.lsa.umich.edu\/econ",
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        "event_title":"RTG NT: Kato's Euler system",
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        "combined_title":"RTG NT: Kato's Euler system: Kartik Prasanna",
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        "event_title":"AIM Seminar:  The Median Filter Scheme for Mean Curvature Flow",
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        "combined_title":"AIM Seminar:  The Median Filter Scheme for Mean Curvature Flow: Anton Ullrich (Carnegie Mellon University)",
        "event_subtitle":"Anton Ullrich (Carnegie Mellon University)",
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        "description":"Abstract:  In this talk we introduce mean curvature flow with some of its applications. This motivates the need for approximation algorithms. One of these is the thresholding scheme by Merriman, Bence and Osher. We analyze a generalization of this to level set mean curvature flow on manifolds with generalized kernels, the median filter scheme. To be precise, we motivate the scheme, present an algorithm for it and show the convergence. In this context, we introduce generalized solution concepts of mean curvature flow. The most important one for us is the viscosity solution. This is joint work with Tim Laux.\r\n\r\nContact:  Selim Esedoglu",
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        "event_title":"Alan J. Hunt Memorial Lecture-U-M Biomedical Engineering--NOTE LOCATION CHANGE to NCRC BUILDING 10 AUDITORIUM",
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        "combined_title":"Alan J. Hunt Memorial Lecture-U-M Biomedical Engineering--NOTE LOCATION CHANGE to NCRC BUILDING 10 AUDITORIUM: Sridevi Sarma, Ph.D.",
        "event_subtitle":"Sridevi Sarma, Ph.D.",
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        "description":"2025 Alan J. Hunt Memorial Lecture\r\n\r\nMeasuring the Health of the Brain: From Global Networks to Local Biomarkers\r\nAbstract:\r\nHow do we measure the health of the brain? Unlike blood pressure or cholesterol, there is no single number that captures brain function. We are developing the Brain Entropy Index (BEI), a new measure that integrates thermodynamics, statistical modeling, and brain imaging to provide a global indicator of brain health. Using data from modalities such as EEG, fMRI, and MEG, the BEI can reliably separate healthy from diseased brains, offering promise as a universal screening tool.\r\n\r\nYet, just as a blood test might flag \u201cillness\u201d without specifying the disease, a global index cannot by itself identify the underlying condition. Neurological disorders are defined by distinct local network dynamics, and it is these dynamics that can give rise to robust biomarkers. One example is EpiScalp, a computational tool we developed to model local brain networks from scalp EEG. EpiScalp can differentiate true epilepsy from seizure-mimicking disorders and from healthy brains, providing a disorder-specific biomarker.\r\n\r\nTogether, these approaches demonstrate a two-tiered framework: global measures can screen for health versus disease, while local network dynamics serve as biomarkers that refine diagnosis and define specific conditions. More broadly, this talk will illustrate how concepts from systems & control theory, physics, and data science can converge to open new frontiers in neuroscience and medicine.\r\n \r\nBio:\r\nSridevi Sarma received a B.S. in Electrical Engineering from Cornell University, and an M.S. and Ph.D. in Electrical Engineering and Computer Science from Massachusetts Institute of Technology (MIT). She was a Postdoctoral Fellow in the Brain and Cognitive Sciences Department at the MIT. Dr. Sarma is now a Professor in the Institute for Computational Medicine, Department of Biomedical Engineering, at Johns Hopkins University. Her research includes modeling, estimation and control of neural systems using electrical stimulation to better diagnose and treat neurological disorders. She is PI for NeuroTech Harbor, an NIH-funded BluePrint Hub for NeuroTechnologies and recently won an NIH Research Investigator Award (R35) that supports her translational research in epilepsy for 8 years. She is a recipient of the the Burroughs Wellcome Fund Careers at the Scientific Interface Award, the Krishna Kumar New Investigator Award from the North American Neuromodulation Society, a recipient of the Presidential Early Career Award for Scientists and Engineers and the Whiting School of Engineering Robert B. Pond Excellence in Teaching Award.",
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        "event_title":"Department Colloquium: Sarah Paul (NYU)",
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        "combined_title":"Department Colloquium: Sarah Paul (NYU): \"Over-Efforting as Weakness of Will.\"",
        "event_subtitle":"\"Over-Efforting as Weakness of Will.\"",
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        "description":"\"Over-Efforting as Weakness of Will.\"  \r\n\r\nDetermination, resoluteness, tenacity, perseverance, and effort are paradigmatically viewed as marks of a strong will, whereas giving up is often thought of as weakness \u2013 as giving in.  The central idea I will explore in this talk is that these familiar dynamics can also be inverted:  giving up can be hard, and require strength of will, while perseverance and continued effort can be a manifestation of weakness.  It is not uncommon to respond to adversity by doubling down and investing even more effort, rather than by despairing and giving up.  I make a case that there is a general form of practical irrationality common to both succumbing to temptation and to the phenomenon of \u201cover-efforting,\u201d such that it might be theoretically fruitful to embrace a conception of weakness of will that includes both phenomena.\r\n\r\nAbout Professor Paul:\r\nSarah Paul's research concerns agency and the philosophy of mind, focusing on the nature of intention and belief. She is also interested in questions about self-knowledge, self-control, and what it means to believe in ourselves and others when it comes to difficult actions. She came to NYUAD from the University of Wisconsin-Madison and has also held visiting positions at M.I.T. and Bowdoin College. She is the author of an introductory textbook on the philosophy of action that was published by Routledge in 2021.",
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        "event_title":"HET Seminar | Quantum Null Ray: Effective dynamics and localized gauge invariant observables",
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        "combined_title":"HET Seminar | Quantum Null Ray: Effective dynamics and localized gauge invariant observables: Laurent Freidel (Perimeter)",
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        "description":"In this talk, I'll review the construction of gravitational constraints and of the corresponding phase space along generalized Horizons.\r\n\r\nI will focus my expose on the study of the Raychauduri Constraint and its quantization, which describes the dynamics of quantum null rays. I will present a detailed construction of the null Ray phase space and the localized gauge-invariant observables.\r\n\r\nSuch a construction requires the introduction of a preferred time frame called the dressing time, which includes edge modes that allow localization along a null ray interval. Gauge-invariant observables are then obtained by dressing the fields with the dressing time.\r\n\r\nWe will see how the edge mode symplectic structure can be understood in terms of the integration of  degrees of freedom complementary to\r\n\r\nchosen region and how the gauge invariant observables include the covariant area element as a generator of reorientation of the frame. Overall the dressing time this provides a gravitational description of a quantum reference frame.\r\n\r\nFinally, we will describe how the quantization procedure can be encoded through an effective deformation of the gravitational phase space labelled by a central charge.\r\n\r\nIf time permits, I'll comment on the role the central charge plays in resolving the fundamental problem of time in quantum gravity and on some new results concerning the quantization of field theoretical reference frames.",
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