Identifier,"Start Date / Time","End Date / Time",Title,Subtitle,Type,Description,Permalink,"Building Name",Room,"Location Name",Cost,Tags,Sponsors
101534-21801492,"2022-11-29 16:00:00","2022-11-29 17:00:00","Statistics Department Seminar Series: Emily Diana, PhD Candidate, Department of Statistics and Data Science, Wharton School, University of Pennsylvania","""Addressing Algorithmic Bias and Disclosiveness: Minimax Group Fairness and Multiaccurate Proxies for Redacted Features""","Workshop / Seminar","Abstract: While data science enables rapid societal advancement, deferring decisions to machines does not automatically avoid egregious equity or privacy violations. Without safeguards in the scientific process --- from data collection to algorithm design to model deployment --- machine learning models can easily inherit or amplify existing biases and vulnerabilities present in society. My research focuses on explicitly encoding algorithms with ethical norms and constructing frameworks ensuring that statistics and machine learning methods are deployed in a socially responsible manner. In particular, I develop theoretically rigorous and empirically verified algorithms to mitigate automated bias and protect individual privacy.
I will highlight this work through two main contributions. In the first, I discuss a new oracle-efficient and convergent algorithm to provably achieve minimax group fairness -- fairness measured by worst-case outcomes across groups -- in general settings. In the second, I illustrate a framework for producing a sensitive attribute proxy that allows one to train a fair model even when the original sensitive features are redacted or unavailable.
Full text versions of the two papers can be found at https://dl.acm.org/doi/10.1145/3461702.3462523 (“Minimax Group Fairness: Algorithms and Experiments”) and
https://dl.acm.org/doi/10.1145/3531146.3533180 (“Multiaccurate Proxies for Downstream Fairness”).",https://events.umich.edu/event/101534,"West Hall",340,"West Hall",,seminar,"Department of Statistics
Department of Statistics Seminar Series"
101156-21800885,"2022-11-30 15:00:00","2022-11-30 16:00:00","Department Colloquium | Dr. Willie Hobbs Moore: Reflections on Her Life and Science","Donnell Walton (Corning)","Workshop / Seminar","This colloquium is a hybrid event. It will take place in 340 West Hall and via a YouTube live stream link: https://youtu.be/heYnnM-xC5A.
In 1972, Willie Hobbs Moore became the first African-American woman to receive a PhD in physics, right here at the University of Michigan. On the 50th anniversary of this historic event, I will:
- discuss some of Dr. Hobbs Moore's biographical highlights,
- provide an overview of her dissertation research,
- share some memories of my friendship with Willie and her family before and after her untimely passing in 1994.
",https://events.umich.edu/event/101156,"West Hall",340,"West Hall",,"Physics
Science","Department of Physics
Department Colloquia
Undergrad Physics Events"
101339-21801237,"2022-12-02 15:00:00","2022-12-02 16:00:00","HET Seminar | A top-down dictionary for double holography","Andreas Karch (UTexas)","Lecture / Discussion","Holographic interpretations of Randall-Sundrum (RS) branes provide a laboratory to explore the way quantum information evolves in field theories coupled to gravity. Despite this importance, the holographic interpretation of RS branes in terms of a theory of gravity coupled to a CFT is rather ad-hoc. In this talk, we use top-down constructions of RS branes in order to work out a precise dictionary for this ""intermediate"" holographic prescription, resolving serious causality problems of the naive picture often used in the literature while preserving many of the successes of the RS construction",https://events.umich.edu/event/101339,"West Hall",335,"West Hall",,"High Energy Theory Seminar
Physics
Science","Leinweber Center for Theoretical Physics
Department of Physics
HET Seminars
Leinweber Center for Theoretical Physics Seminars
Leinweber Center for Theoretical Physics High Energy Theory Seminars"
101602-21801565,"2022-12-05 15:00:00","2022-12-05 16:00:00","HEP-Astro Seminar | Evidence for Cosmological Coupling of Black Holes and Its Implications For an Astrophysical Source Of Dark Energy","Kevin Croker (University of Hawaii)","Workshop / Seminar","Observations have found black holes spanning ten orders of magnitude in mass across most of cosmic history. The leading black hole model, the Kerr solution, is however provisional because its behavior at infinity is incompatible with an expanding universe. Recent work on black hole models with realistic behavior at infinity predicts that the gravitating mass of a black hole can increase with the expansion of the universe independently of accretion or mergers, in a manner that depends on the black hole’s interior solution. Here we test this prediction by considering the growth of supermassive black holes in passively evolving elliptical galaxies over 0 < z < 2.5. We find evidence for cosmologically coupled mass growth among these black holes, with zero cosmological coupling excluded at 99.98% confidence. The redshift dependence of the mass growth implies that, at z < 7, black holes contribute an effectively constant cosmological energy density to Friedmann’s equations. The continuity equation then requires that black holes contribute cosmologically as vacuum energy. We further show that, within current observational limits, black hole production from the cosmic star formation history gives the cosmological constant value measured by Planck. We thus propose that stellar remnant black holes are the astrophysical origin of dark energy, explaining the late-time onset of accelerating expansion.
",https://events.umich.edu/event/101602,"West Hall",335,"West Hall",,"Physics
Science","Department of Physics
HEP - Astro Seminars"
101276-21801144,"2022-12-06 16:00:00","2022-12-06 17:00:00","CM-AMO Seminar | Topological Magnetic Defects in Frustrated Magnets","Huibo Cao (Oak Ridge National Laboratory)","Workshop / Seminar","Magnetic domain walls and their crossings as magnetic vortices are typical magnetic topological defects existing in many magnetic materials. While visualizing them and their evolution under field at the atomic level are rarely reported except for magnetic skyrmions. Here I will present the proliferation of topological magnetic defects in a 2D square lattice under field, seen by neutrons.
By introducing Ising spins in a 2-dimensional (2D) bi-layer square lattice, we realized a frustrated magnet where no long-range magnetic order was found upon cooling to 100 mK. Using the local magnetic susceptibility method with polarized neutrons, we revealed canted Ising spins. With this information, we were able to simulate the neutron diffuse scattering patterns observed under selected magnetic fields through machine learning assisted spin Hamiltonian optimization. Our studies revealed a short-range ordered 2D stripe magnetic phase wrapped by domain-wall phases. By applying magnetic field perpendicular to the square-lattice plane, the stripe magnetic phase melts and the condensed domain wall phases form a short-range ordered vortex lattice, so-called magnetic vortex liquid state, at a critical field of 2 T. Further application of the magnetic field to 4 T, makes all of the spins canted to the field direction, i.e., a polarized paramagnetic phase. Here the evolution of stripe phase and domain wall phase can be precisely controlled by a magnetic field and tracked by neutron scattering. A Z4 vortex was found to be originated from two crossed domain walls. While the density of the domain wall and vortices increase with the field and reach their maximum before entering the fully polarized paramagnetic phase.
*The research was supported by the U.S. Department of Energy (DOE), Early Career Research Program Award KC0402020 and used resources at the HFIR and SNS, DOE Office of Science User Facilities operated by ORNL.
",https://events.umich.edu/event/101276,"West Hall",335,"West Hall",,"Physics
Science","Department of Physics
CM-AMO Seminars"
98153-21795649,"2022-12-09 10:00:00","2022-12-09 11:00:00","Statistics Department Seminar Series: Rob Trangucci, PhD Candidate, Department of Statistics, University of Michigan","""Identified vaccine efficacy for binary post-infection outcomes under misclassification without monotonicity""","Workshop / Seminar","Abstract: Despite the importance of vaccine efficacy against post-infection outcomes like transmission or severe illness, these estimands are unidentifiable, even under strong assumptions that are rarely satisfied in real-world trials. We develop a novel method to nonparametrically point identify these principal effects while eliminating the assumptions of monotonicity and perfect infection and post-infection measurements. Furthermore, we show that these results immediately extend to multiple treatments. The result is applicable outside of vaccine efficacy due to the generality of the results. We show that our method can be applied to a variety of clinical trial settings where vaccine efficacy against infection and a post-infection outcome can be jointly inferred. This can yield new insights from existing vaccine efficacy trial data and will aid researchers in designing new multi-arm clinical trials.",https://events.umich.edu/event/98153,"West Hall",340,"West Hall",,seminar,"Department of Statistics
Department of Statistics Seminar Series"
101308-21801176,"2022-12-12 12:00:00","2022-12-12 13:00:00","Quantitative Biology Seminar | Starling Flocks Seen From Statistical Physics","Tomas S. Grigera (Universidad Nacional de La Plata (Argentina))","Workshop / Seminar","Many animal species move together in groups (schools, herds, flocks) without leaders but displaying complex collective behavior, sometimes visually very striking. This behavior is the emergent of individual interactions, so that the phenomenon can be fruitfully approached from statistical physics. In this talk we shall summarize experimental results on flocks of starlings (Sturnus vulgaris) in the field, and show that it is possible to develop a sensible statistical theory of their collective movement, despite the difficulties related to out-of-equilibrium effects and relatively small system size. We shall discuss in particular the presence of scale-free correlations in speed and velocity fluctuations and their relation to symmetry breaking and speed control mechanisms.
",https://events.umich.edu/event/101308,"West Hall","335 ","West Hall",,"Physics
Science","Department of Physics
Quantitative Biology Seminars"
102479-21804109,"2023-01-06 10:00:00","2023-01-06 11:00:00","Statistics Department Seminar Series: Spencer Frei, Postdoctoral Research Fellow, Simons Institute for Theory of Computing, University of California, Berkeley","""Statistical and computational phenomena in deep learning""","Workshop / Seminar","Abstract: Deep learning's success has revealed a number of phenomena that appear to conflict with classical inuitions in the fields of optimization and statistics. First, the objective functions formulated in deep learning are highly nonconvex but are typically amenable to minimization with first-order optimization methods like gradient descent. And second, neural networks trained by gradient descent are capable of 'benign overfitting': they can achieve zero training error on noisy training data and simultaneously generalize well to unseen data. In this talk we go over our recent work towards understanding these phenomena. We show how the framework of proxy convexity allows for tractable optimization despite nonconvexity, while the implicit regularization of gradient descent plays a key role in benign overfitting. In closing, we discuss some of the questions that motivate our current work on understanding deep learning, and how we may use our insights to make deep learning more trustworthy, efficient, and powerful.
Bio:
Spencer Frei is a postdoctoral fellow at UC Berkeley, working with Peter Bartlett and Bin Yu as a part of the NSF/Simons Collaboration on the Theoretical Foundations of Deep Learning. He is interested in understanding statistical and computational phenomena observed in deep learning. He was named a Rising Star in Machine Learning by the University of Maryland in 2022, and was a co-organizer of the 2022 Deep Learning Theory Workshop and Summer School at the Simons Institute for the Theory of Computing. He received his Ph.D in Statistics from UCLA in 2021 under the co-supervision of Quanquan Gu and Ying Nian Wu.",https://events.umich.edu/event/102479,"West Hall",340,"West Hall",,seminar,"Department of Statistics
Department of Statistics Seminar Series"
102480-21804110,"2023-01-10 16:00:00","2023-01-10 17:00:00","Statistics Department Seminar Series: Lizhen Lin, Robert and Sara Lumpkings Associate Professor, Department of Applied and Computational Mathematics and Statistics, The University of Notre Dame","""Adaptive variational Bayes: optimality, computation and applications""","Workshop / Seminar","Abstract: In this talk, I will discuss adaptive statistical inference based on variational Bayes. Although a number of studies have been conducted to analyze theoretical properties such as posterior contraction properties of variational posteriors, there is still a lack of general and computationally tractable variational Bayes methods that can achieve adaptive inference. To fill this gap, we propose a novel adaptive variational Bayes framework, which can operate on a collection of models. The proposed framework first computes a variational posterior over each individual model separately and then combines them with certain weights to produce a variational posterior over the entire model space. It turns out that this combined variational posterior is the closest member to the posterior over the entire model in a predefined family of approximating distributions. We show that the proposed variational posterior achieves optimal contraction rates adaptively under very general conditions and attains model selection consistency when the true model structure exists. We apply the general results obtained for the adaptive variational Bayes to a large class of statistical models including deep learning models and derive some new and adaptive inference results.",https://events.umich.edu/event/102480,"West Hall",340,"West Hall",,seminar,"Department of Statistics
Department of Statistics Seminar Series"
102429-21804043,"2023-01-11 10:00:00","2023-01-11 11:00:00","Special Physics Department Seminar | Searching for Uncovered and Unexpected New Physics at the Energy Frontier","Julia Gonski (Columbia University)","Workshop / Seminar","Join the Seminar Zoom Link: https://umich.zoom.us/j/92784237259
The 2012 discovery of the Higgs boson with the Large Hadron Collider (LHC) was a groundbreaking achievement for high energy physics. Remaining puzzles such as dark matter confirm the need for beyond the Standard Model physics, and the Higgs boson can be used as a compass to determine its nature. This talk focuses on novel searches for new physics with the ATLAS experiment on the LHC, specifically for long-lived particles and heavy resonances. Such signatures make use of the Higgs, along with advanced data analysis techniques such as machine learning and anomaly detection, for broad and unprecedented sensitivity. The High Luminosity LHC, the corresponding ATLAS detector upgrade, and studies for future experiments are all crucial for the longevity of these searches. These topics are discussed in the context of cross-field collaboration and long-term strategic planning for the continued success of the field, ensuring that no stone is left unturned in the effort to understand fundamental particle physics.",https://events.umich.edu/event/102429,"West Hall",340,"West Hall",,"colloquium
Complex Systems
Faculty
Natural Sciences
seminar","Department Colloquia
Department of Physics"
102481-21804111,"2023-01-13 10:00:00","2023-01-13 11:00:00","Statistics Department Seminar Series: Blair Bilodeau, PhD candidate, Department of Statistical Sciences, University of Toronto","""Adaptive Sequential Decision Making and Uncertainty Quantification""","Workshop / Seminar","Abstract: One way to quantify the risks of deploying complex statistical methods is theoretical guarantees, yet statistical theory often relies on unverifiable assumptions and can therefore fail to explain performance in real-world settings. My research seeks out guarantees without such limitations across a wide range of statistical tasks, including inference, prediction, and decision making. In this talk, I will present two papers from this research program.
First, I will present https://arxiv.org/abs/2202.05100 (awarded an Oral designation at NeurIPS 2022, reserved for only 2% of submissions), where we study how to most efficiently select interventions in sequence to learn causal effects. We provide an adaptive method and corresponding guarantees: simultaneously optimal performance when benign causal structure exists and consistent estimation even when all causal assumptions fail. Second, I will present https://arxiv.org/abs/2109.10461, where we resolve the minimax rates for conditional density estimation in parametric and nonparametric classes. I will particularly focus on consequences of our results, including the first dimension-free KL risk bounds for generalized linear models, the first fast rates for KL risk with arbitrarily unbounded covariate spaces, and the first characterizations of KL risk for natural extensions of smoothness to conditional densities. Finally, I will discuss how these advances form a foundation of my future research: general adaptivity in non-stationary and partial-feedback settings.
Bio: Blair Bilodeau is a graduating PhD student in Statistical Sciences at the University of Toronto, advised by Daniel Roy. His PhD was funded by an NSERC Canada Graduate Scholarship and the Vector Institute. Blair’s work has been internationally recognized, including a Rising Star in Data Science award from the University of Chicago, an IMS Hannan Graduate Student Award, and a New York Academy of Science Best Poster Award. Open access versions of his publications and his full CV are available at http://www.blairbilodeau.ca.",https://events.umich.edu/event/102481,"West Hall",340,"West Hall",,seminar,"Department of Statistics
Department of Statistics Seminar Series"
103056-21805783,"2023-01-17 15:00:00","2023-01-17 16:00:00","CM-AMO Seminar | Seeing Life in a New Light: From Simple Classical Physics to Quantum-Enhanced Imaging","Vladislav Yakovlev (Texas A&M University)","Workshop / Seminar","The progress of biomedical sciences depends on the availability of advanced instrumentation and imaging tools capable of attaining the state of biological systems in vivo without using exogenous markers. Mechanical forces and local elasticity play a central role in understanding physical interactions in all living systems. We demonstrate a novel way to image microscopic viscoelastic properties of biological systems using Brillouin microspectroscopy [1]. In my talk, I will discuss the ways how an old spectroscopic tool can be used for real time microscopy and provide possible solutions to long standing problems in Life Sciences and Medicine while advancing instrumentation beyond classical limits [2].
[1] Zh. Meng, A. Traverso, C. Ballmann, M. Troyanova-Wood, and V. V. Yakovlev, “Seeing cells in a new light: a renaissance of Brillouin spectroscopy,” Advances in Optics and Photonics 8(2), 300-327 (2016).
[2] T. Li, F. Li, X. Liu, V. V. Yakovlev, and G. S. Agarwal, “Quantum-Enhanced Continuous-Wave Stimulated Brillouin Scattering Spectroscopy and Imaging,” Optica 9(8), 959-964 (2022).",https://events.umich.edu/event/103056,"West Hall",335,"West Hall",,"Physics
Science","CM-AMO Seminars
Department of Physics"
102483-21804112,"2023-01-17 16:00:00","2023-01-17 17:00:00","Statistics Department Seminar Series: Wenlong Mou PhD Candidate, Department of EECS, University of California, Berkeley",""" Instance-dependent optimality in statistical decision-making: what they mean and how to achieve them?""","Workshop / Seminar","Abstract: Data-driven methodology is a pillar of real-world decision-making. When applying statistical learning methods, puzzling phenomena have arisen in choosing estimators, tuning their parameters, and characterizing bias-variance trade-offs. There are various settings in which asymptotic and/or worst-case theory fails to provide the relevant guidance, so that a more refined approach, both non-asymptotic and instance-optimal, is required.
In this talk, I present some recent advances in optimal procedures for statistical decision-making. I will first discuss function approximation methods for policy evaluation in reinforcement learning. I describe a novel class of optimal and instance-dependent oracle inequalities for projected Bellman equations. Different from statistical learning, the optimal approximation factor depends on the geometry of the problem, and can be much larger than unity. Drawing on this perspective, I then discuss instance-dependent optimal methods for estimating linear functionals from observational data. With a practical sample size, the optimal risks exhibit a rich spectrum of behavior beyond the asymptotic semi-parametric efficiency bound. Our non-asymptotic instance-dependent results identify the fundamental roles of certain novel quantities, and provide concrete guidance on practical choices.
Bio: Wenlong Mou is a Ph.D. student at Department of EECS, UC Berkeley, advised by Martin Wainwright and Peter Bartlett. Prior to Berkeley, he received his B.Sc. degree in Computer Science from Peking University. Wenlong's research interests include statistics, machine learning theory, dynamic programming and optimization, and applied probability. He is particularly interested in designing optimal statistical methods that enable optimal data-driven decision making, powered by efficient computational algorithms.
https://people.eecs.berkeley.edu/~wmou/",https://events.umich.edu/event/102483,"West Hall",340,"West Hall",,seminar,"Department of Statistics
Department of Statistics Seminar Series"
103221-21806365,"2023-01-18 15:00:00","2023-01-18 16:00:00","MLK Department Colloquium | M.L.King Jr., Albert Einstein, and YOU 2","Willie S. Rockward (Morgan State University)","Workshop / Seminar","This colloquium/talk will address the concepts, connections, and conclusions of these 2 great personalities -- Martin Luther King, Jr. and Albert Einstein and how it applies to the physics community through the lens of diversity, equity, and inclusiveness.
https://www.symmetrymagazine.org/article/changing-the-game
BIOGRAPHY
WILLIE S. ROCKWARD, Ph.D.
Chair and Professor of Physics
Department of Physics & Engineering Physics
Morgan State University, Baltimore, MD
Education:
Ph.D. Physics, Georgia Institute of Technology
M.S. Physics, Georgia Institute of Technology
M.S. Physics, State University of New York, Albany
B.S. Physics, Grambling State University
Dr. Rockward has a unique combination of leadership from academic, professional, and community experiences. Since August 2018, he serves as the Chair of the Department of Physics & Engineering Physics at Morgan State University, Baltimore, Maryland. Prior to his transition to Morgan State, he served 7 years as the Chair of the Department of Physics & Dual Degree Engineering Program (Physics & DDEP) and 20 years as the Research Director of the Materials and Optics Research & Engineering (MORE) Laboratory at Morehouse College, Atlanta, Georgia. Among his professional leadership experiences, he is the immediate Past President of both the National Society of Black Physicists (NSBP) and the Sigma Pi Sigma Physics Honor Society. Also, he has served a combination of 30+ years as (1) Senior Pastor of the Divine Unity Missionary Baptist Church, East Point, Georgia; (2) Associate Minister of Antioch Baptist Church North, Atlanta, Georgia; and (3) Associate Minister of New Shiloh Baptist Church, Baltimore, Maryland.
As Chair of Physics & DDEP at Morehouse College, his vision and leadership resulted in 7 consecutive years of the department being the US #1 producer for underrepresented minorities with Bachelor of Science degrees in Physics according to the American Institute of Physics in conjunction to boasting the Nation’s most productive Dual Degree Engineering Program. He is a strong proponent of STEM mentorship using methodologies of faculty-to-student, peer-to-peer, professional shadowing, life-skills coaching, and research apprenticeship. His current research interests include micro/nanolithography, extreme ultraviolet interferometry, metamaterials, terahertz imaging, nanostructure characterization, and crossed phase optics.",https://events.umich.edu/event/103221,"West Hall",340,"West Hall",,"Physics
Science","Department Colloquia
Department of Physics
Undergrad Physics Events"
102484-21804114,"2023-01-20 10:00:00","2023-01-20 11:00:00","Statistics Department Seminar Series: Gemma Moran, Postdoctoral Research Fellow, Data Science Institute, Columbia University","""Identifiable Deep Generative Models via Sparse Decoding""","Workshop / Seminar","Abstract: We develop the sparse VAE for unsupervised representation learning on high-dimensional data. The sparse VAE learns a set of latent factors (representations) which summarize the associations in the observed data features. The underlying model is sparse in that each observed feature (i.e. each dimension of the data) depends on a small subset of the latent factors. As examples, in ratings data each movie is only described by a few genres; in text data each word is only applicable to a few topics; in genomics, each gene is active in only a few biological processes. We prove such sparse deep generative models are identifiable: with infinite data, the true model parameters can be learned. (In contrast, most deep generative models are not identifiable.) We empirically study the sparse VAE with both simulated and real data. We find that it recovers meaningful latent factors and has smaller heldout reconstruction error than related methods.
https://www.gemma-moran.com/",https://events.umich.edu/event/102484,"West Hall",340,"West Hall",,seminar,"Department of Statistics
Department of Statistics Seminar Series"
103147-21806181,"2023-01-20 12:00:00","2023-01-20 13:00:00","LAGS Seminar | How To Do Great Things","Adam Sypniewski (CTO at Deepgram)","Workshop / Seminar","Join Zoom Meeting
https://umich.zoom.us/j/95573161835
Meeting ID: 955 7316 1835
Passcode: 054136
What makes for a great idea? What kinds of ideas drive true technological revolution? In this talk, we will explore characteristics of great ideas and how to convert those ideas into successful startups. With an eye towards artificial intelligence, we will discuss coming up with great ideas, building out those ideas, and hiring great teams to execute on those ideas.",https://events.umich.edu/event/103147,"West Hall",335,"West Hall",,"Physics
Science","Life After Grad School Seminars
Department of Physics"
102651-21804904,"2023-01-23 10:00:00","2023-01-23 11:00:00","Special Physics Department Seminar | Thin Sheets as Condensed Matter","Suraj Shankar, Postdoctoral Fellow (Harvard University)","Workshop / Seminar","Join on Zoom: https://umich.zoom.us/j/95091149061
Thin elastic sheets display a stunning array of complex morphologies, instabilities and dynamics across scales, from crumpled paper and ruffled leaves to atomically thin graphene. Like in traditional condensed matter, such ""collective"" phenomena often emerge on large scales, only now through an interplay of geometry and mechanics rather than microscopic material properties.
In this talk, I will show how a geometric focus allows thin sheets to be fruitfully viewed as condensed matter, exhibiting simple analogies with electrostatics and phase transitions to more exotic ones like topological insulators. I will highlight the benefit and consequences of this approach to recent efforts in mechanical metrology and the design of ultrathin nanodevices and mechanical metamaterials.",https://events.umich.edu/event/102651,"West Hall",340,"West Hall",,"colloquium
Complex Systems
Faculty
Natural Sciences
seminar","Department Colloquia
Department of Physics"
103034-21805743,"2023-01-23 15:00:00","2023-01-23 16:00:00","HEP-Astro Seminar | High Energy Astrophysics with IceCube: Evidence for Neutrino Emission From the Nearby Active Galaxy NGC 1068","Hans Niederhausen (Michigan State University)","Workshop / Seminar","The IceCube Neutrino Observatory, deployed beneath the South Pole, is the largest optical neutrino telescope in the World. IceCube has been measuring a diffuse flux of high-energy (TeV and above) astrophysical neutrinos for almost a decade. The sources of the vast majority of these neutrinos remain elusive, but studies indicate that gamma-ray obscured sources may at least in parts be responsible. Most recently, IceCube reported strong evidence for TeV neutrino emission from NGC 1068, a well-known and nearby active galaxy. I will explain how IceCube searches for neutrinos from astrophysical sources and how recent improvements in our analysis methods enabled this result. When put into the multi-messenger context, in particular the non-detection of TeV gamma-rays by the MAGIC telescopes, this measurement suggests that the gamma-ray obscured vicinity of the central supermassive black hole acts as a cosmic hadron accelerator. The next steps are clear. By studying similar objects we may finally identify a class of sources that makes a sizeable contribution to the diffuse flux of astrophysical neutrinos.",https://events.umich.edu/event/103034,"West Hall",335,"West Hall",,"Astronomy
Physics
Science","Department of Physics
HEP - Astro Seminars"
102487-21804126,"2023-01-24 16:00:00","2023-01-24 17:00:00","Statistics Department Seminar Series: Richard Guo Research Associate, Statistical Laboratory, University of Cambridge","""Harnessing Extra Randomness: Replicability, Flexibility and Causality""","Workshop / Seminar","Abstract: Many modern statistical procedures are randomized in the sense that the output is a random function of data. For example, many procedures employ data splitting, which randomly divides the dataset into disjoint parts for separate purposes. Despite their flexibility and popularity, data splitting and other constructions of randomized procedures have obvious drawbacks. First, two analyses of the same dataset may lead to different results due to the extra randomness introduced. Second, randomized procedures typically lose statistical power because the entire sample is not fully utilized.
To address these drawbacks, in this talk, I will study how to properly combine the results from multiple realizations (such as through multiple data splits) of a randomized procedure. I will introduce rank-transformed subsampling as a general method for delivering large sample inference of the combined result under minimal assumptions. I will illustrate the method with three applications: (1) a “hunt-and-test” procedure for detecting cancer subtypes using high-dimensional gene expression data, (2) testing the hypothesis of no direct effect in a sequentially randomized trial and (3) calibrating cross-fit “double machine learning” confidence intervals. For these problems, our method is able to de-randomize and improve power or coverage. Moreover, in contrast to existing approaches for combining p-values, our method enjoys type-I error control that asymptotically approaches the nominal level. This new development opens up the possibility of designing procedures that explicitly randomize and de-randomize: extra randomness is introduced to make the problem easier before being removed.
This talk is based on joint work with Rajen Shah.
Bio: Richard Guo is a research associate in the Statistical Laboratory at the University of Cambridge, mentored by Rajen Shah. In Spring 2022, he was the Richard M. Karp Research Fellow in the causality program at the Simons Institute for the Theory of Computing. He received his PhD in Statistics from University of Washington in 2021, advised by Thomas Richardson, for which he received the Z. W. Birnbaum Award. His research interests include graphical models, causal inference and replicability of data analysis.
https://unbiased.co.in/",https://events.umich.edu/event/102487,"West Hall",340,"West Hall",,seminar,"Department of Statistics
Department of Statistics Seminar Series"
103130-21806155,"2023-01-25 15:00:00","2023-01-25 16:00:00","Department Colloquium | Vegetation Pattern Formation in Drylands","Mary Silber (University of Chicago)","Workshop / Seminar","A beautiful example of spontaneous pattern formation occurs in certain dryland environments around the globe, where stripes of vegetation alternate with stripes of bare soil, with striking regularity and on a scale readily monitored by remote-sensing satellites. Theoretical ecologists, together with theoretical physicists and applied mathematicians, have also exploited the physicist's understanding of mechanisms of spontaneous self-organization to model these dryland vegetation patterns. They have shown how these spatial patterns exploit positive feedbacks to efficiently concentrate the limited water resource into vegetated zones. This talk will present a few research vignettes on this topic of vegetation pattern formation in dryland ecosystems. It is research that is motivated by the vulnerability of these fragile ecosystems to increased desertification under climate change and changes in human land-use.",https://events.umich.edu/event/103130,"West Hall",340,"West Hall",,"Physics
Science","Department Colloquia
Department of Physics
Undergrad Physics Events"
102490-21804128,"2023-01-27 10:00:00","2023-01-27 11:00:00","Statistics Department Seminar Series: Zhimei Ren, Postdoctoral Research Fellow, Department of Statistics, University of Chicago","""Stable Variable Selection with Knockoffs""","Workshop / Seminar","Abstract: A common problem in many modern statistical applications is to find a set of important variables—from a pool of many candidates—that explain the response of interest. For this task, model-X knockoffs offers a general framework that can leverage any feature importance measure to produce a variable selection algorithm: it discovers true effects while rigorously controlling the number or fraction of false positives, paving the way for reproducible scientific discoveries. The model-X knockoffs, however, is a randomized procedure that relies on the one-time construction of synthetic (random) variables. Different runs of model-X knockoffs on the same dataset often result in different sets of selected variables, which is not desirable for the reproducibility of the reported results.
In this talk, I will introduce derandomization schemes that aggregate the selection results across multiple runs of the knockoffs algorithm to yield stable selection. In the first part, I will present a derandomization scheme that controls the number of false positives, i.e., the per family error rate (PFER) and the k family-wise error rate (k-FWER). In the second part, I will talk about an alternative derandomization scheme with provable false discovery rate (FDR) control. Equipped with these derandomization steps, the knockoffs framework provides a powerful tool for making reproducible scientific discoveries. The proposed methods are evaluated on both simulated and real data, demonstrating comparable power and dramatically lower selection variability when compared with the original model-X knockoffs.
https://zhimeir.github.io/",https://events.umich.edu/event/102490,"West Hall",340,"West Hall",,seminar,"Department of Statistics
Department of Statistics Seminar Series"
103457-21807230,"2023-01-27 15:00:00","2023-01-27 16:00:00","HET Seminar | Complexity=Anything","Rob Myers (Perimeter)","Lecture / Discussion","Motivated by holographic complexity, we examine a new class of gravitational observables in asymptotically AdS space associated with codimension-one slices or with codimension-zero regions. We argue that any of these observables is an equally viable candidate as the extremal volume for a gravitational dual of complexity.",https://events.umich.edu/event/103457,"West Hall",335,"West Hall",,"High Energy Theory Seminar
Physics
Science","Leinweber Center for Theoretical Physics
Department of Physics
HET Seminars
Leinweber Center for Theoretical Physics Seminars
Leinweber Center for Theoretical Physics High Energy Theory Seminars"
103136-21806163,"2023-01-30 15:00:00","2023-01-30 16:00:00","HEP-Astro Seminar | 3D Position-Sensitive CdZnTe Gamma-Ray Imaging Spectrometers and Their Applications","Zhong He (U-M Engineering)","Workshop / Seminar","This presentation highlights the latest technology advancement on 3-dimensional position-sensitive room-temperature CdZnTe (CZT) semiconductor gamma-ray imaging spectrometers. Sustained advancement on CZT detector technology, including larger detection volume, digital application specific integrated circuit (H3DD-UM ASIC) and integrated electronic data acquisition systems will be described, as well as research and development on alternative semiconductor gamma-ray spectrometers. The applications of 3D CZT detectors will be summarized in national security, nuclear power industry, international nuclear safeguard and non-proliferation, space exploration, and medical imaging. The operational principle and unique capabilities will be introduced to explore potential applications in fundamental physics and astrophysics.",https://events.umich.edu/event/103136,"West Hall",335,"West Hall",,"Physics
Science","HEP - Astro Seminars
Department of Physics"
103829-21807977,"2023-01-31 15:00:00","2023-01-31 16:00:00","CM-AMO Seminar | Double Feature","Yang Yu (U-M Physics) and Torben Purz (MONSTR Sense Technologies)","Workshop / Seminar","Yang Yu
U-M Physics
Magnetic Phases of the Anisotropic Triangular Lattice Hubbard Model
The Hubbard model on an anisotropic triangular lattice in two dimensions, a fundamental model for frustrated electron physics, displays a wide variety of phases and phase transitions. This work investigates the model using the ladder dual fermion approximation which captures local correlations non-perturbatively but approximates non-local correlations. We find metallic, one-dimensional antiferromagnetic, non-collinear antiferromagnetic, square-lattice antiferromagnetic, and spiral phases but no evidence of collinear antiferromagnetic order in different parts of the phase diagram. Analyzing the spin susceptibility in detail, we see both regions of agreement and of discrepancy with previous work. The case of Cs2CuCl4 is discussed in detail.
Reference:
https://arxiv.org/abs/2211.09234.
Torben Purz
MONSTR Sense Technologies
Coherent Imaging Spectroscopy of Transition Metal Dichalcogenides
Transition Metal Dichalcogenides (TMDs) monolayers and heterostructures are a promising material platform for quantum information science, photovoltaics, and related device applications. In the past decade, much effort has been dedicated to explore the exciton physics in these materials, ranging from their strong light-matter coupling to charge transfer and coherent coupling. However, many demonstrations in TMDs can only be realized at specific spots on the sample, presenting a challenge to the scalability of these applications.
In this talk, I will demonstrate Multi-Dimensional Coherent Imaging Spectroscopy of TMDs and highlight the sensitivity of exciton spatial and temporal coherence toward strain while coherent exciton coupling and charge transfer in these samples remain mostly unaffected, strengthening the case for TMDs as next-generation material platform in quantum information science and beyond. In addition, I will demonstrate rapid nonlinear imaging spectroscopy of TMDs that assesses the quality of samples through measurement of their nonlinear response, exciton dephasing, exciton lifetimes, and exciton-coupling strength. By comparison, I will show that extracting material parameters such as four-wave mixing intensity, dephasing times, excited state lifetimes, exciton-coupling strength, and distribution of dark/localized states allows for a more accurate assessment of the quality of a sample than current prevalent techniques, including white light microscopy, linear micro-reflectance spectroscopy, and photo-luminescence.",https://events.umich.edu/event/103829,"West Hall",335,"West Hall",,"Physics
Science","CM-AMO Seminars
Department of Physics"
102491-21804129,"2023-01-31 16:00:00","2023-01-31 17:00:00","Statistics Department Seminar Series: Kevin Lin, Postdoctoral Research Fellow, Department of Statistics and Data Science, Wharton School, University of Pennsylvania","""Tilted-CCA: Quantifying common and distinct information in multi-modal single-cell data via matrix factorization""","Workshop / Seminar","Abstract: Recently, multi-modal single-cell data has been growing in popularity in many areas of biomedical research and provides new opportunities to learn how different modalities coordinate within each cell. Many existing dimension reduction methods for such data estimate a low-dimensional embedding that captures all the axes of variation from either modality. While these current methods are useful, we develop the Tilted-CCA in this talk to perform a fundamentally different task. This method is a novel matrix factorization that estimates low-dimensional embeddings separating the axes of variation shared between both modalities (i.e., ""common geometry,"" capturing the coordination between both modalities) from axes of variation unique to a particular modality (i.e., ""distinct geometry""). Methodologically, Tilted-CCA achieves this by combining ideas from Canonical Correlation Analysis (CCA) and density clustering. Our method first uses the nearest-neighbor graphs from each modality to infer the common geometry between both modalities and decomposes the canonical scores from CCA to approximate this geometry. Biologically, Tilted-CCA unveils the cellular dynamics in developmental systems based on the proportion of variation between the common and distinct embeddings. More broadly, Tilted-CCA invites new theoretical questions regarding dimension reduction and can be applied to any domain beyond single-cell genomics.
Short biography:
Kevin Lin is a current post-doctoral researcher at the University of Pennsylvania's Wharton Department of Statistics & Data Science with Dr. Nancy Zhang and completed his Ph.D. at Carnegie Mellon University's Department of Statistics & Data Science under Dr. Kathryn Roeder and Dr. Jing Lei. His research focuses on studying cellular mechanisms from single-cell data. He develops novel methods using ideas from matrix factorization, network modeling, and changepoint detection to derive new theoretical and biological insights, and he collaborates with both statisticians and biologists.",https://events.umich.edu/event/102491,"West Hall",340,"West Hall",,seminar,"Department of Statistics
Department of Statistics Seminar Series"
103589-21807522,"2023-01-31 17:00:00","2023-01-31 18:00:00","Snack Time!",,"Workshop / Seminar","Instead of a talk today, we'll be having snack time! Join us at 5 pm to chat and have some food.",https://events.umich.edu/event/103589,"West Hall",335,"West Hall",,Mathematics,"Student Analysis Seminar - Department of Mathematics"
103349-21807069,"2023-02-01 15:00:00","2023-02-01 16:00:00","Department Colloquium | SPARC and the High-field Path to Fusion Energy","Dennis Whyte (MIT)","Workshop / Seminar","The advent of REBCO high-temperature superconductors at commercial scale has changed the development path for producing fusion energy with magnetic confinement.
The design and test of a large-bore B>20 tesla peak field superconducting magnet at MIT PSFC, in collaboration with Commonwealth Fusion Systems, realizes a doubling of the allowed B field compared to previous state of the art. This realizes extremely large gains in fusion performance fusion power density scales as B^4 and access to ignition as ~B^5 at fixed plasma physics.
These gains in turn allow for operation away from limits, yet in much smaller and less expensive devices. CFS is presently constructing the high-B tokamak SPARC outside Boston with MIT as its major scientific collaborator, with the goal of demonstrating high fusion energy gain and fusion power density that propels fusion into the commercial energy sector. In addition to describing SPARC, parallel key fusion technology development programs in will be described.",https://events.umich.edu/event/103349,"West Hall",340,"West Hall",,"Physics
Science","Department Colloquia
Department of Physics
Undergrad Physics Events"
104211-21808649,"2023-02-06 15:00:00","2023-02-06 16:00:00","HEP-Astro Seminar | Directly Detecting Light Dark Matter","Robert McGehee (U-M Physics)","Workshop / Seminar","While the experimental program to detect ever lighter dark matter is proceeding full steam ahead, the theory of such light, detectable dark matter is at a crossroads. I will detail two examples of sub-GeV hadrophilic dark matter models which these future direct detection endeavors may discover while highlighting the serious challenges model builders face. The first achieves probe-able direct detection cross sections by way of a late-time, dark-sector phase transition, while the second does so by assuming the entire thermal bath is reheated at very low temperatures. Both models lead to dark matter-nucleon scattering cross sections of interest for near-future experiments for dark matter masses in the range of 100 keV-100 MeV, often in parts of parameter space with few or no models.",https://events.umich.edu/event/104211,"West Hall",335,"West Hall",,"Physics
Science","HEP - Astro Seminars
Department of Physics"
103124-21806149,"2023-02-07 15:00:00","2023-02-07 16:00:00","CM-AMO Seminar | Charge Density Wave and Spin Nematic Phase in Kagome Lattice FeGe","Pengcheng Dai (Rice University)","Workshop / Seminar","Join Zoom Meeting
https://umich.zoom.us/j/91632009290
Meeting ID: 916 3200 9290
Passcode: 595628
A hallmark of strongly correlated quantum materials is the rich phase diagram resulting from competing and intertwined phases with nearly degenerate ground state energies. A well-known example is the copper oxides, where a charge density wave (CDW) is ordered well above and strongly coupled to the magnetic order to form spin-charge separated stripes that compete with superconductivity. Recently, such rich phase diagrams have also been revealed in correlated topological materials. In two-dimensional kagome lattice metals consisting of corner-sharing triangles, the geometry of the lattice can produce flat bands with localized electrons, non-trivial topology, chiral magnetic order, superconductivity and CDW order. While CDW has been found in weakly electron correlated nonmagnetic AV_3Sb_5 (A = K, Rb, Cs), it has not yet been observed in correlated magnetic ordered kagome lattice metals. Here we report the discovery of CDW within the antiferromagnetic (AFM) ordered phase of kagome lattice FeGe. The CDW in FeGe occurs at wavevectors identical to that of AV_3Sb_5, enhances the AFM ordered moment, and induces an emergent anomalous Hall effect. Our findings suggest that CDW in FeGe arises from the combination of electron correlations-driven AFM order and van Hove singularities-driven instability possibly associated with a chiral flux phase, in stark contrast to strongly correlated copper oxides and nickelates, where the CDW precedes or accompanies the magnetic order. We will also discuss our recent discovery of a spin nematic phase in FeGe.",https://events.umich.edu/event/103124,"West Hall",335,"West Hall",,"Physics
Science","CM-AMO Seminars
Department of Physics"
103833-21807980,"2023-02-08 15:00:00","2023-02-08 16:00:00","2023 Helmut W. Baer Lecture | The Insidious Neutrinos, Entropy, and Gravitational Collapse","George M. Fuller, Distinguished Professor of Physics (University of California, San Diego)","Workshop / Seminar","This will be a hybrid event. Livestream Link: https://www.youtube.com/watch?v=lufAjs_V5Ys
The Insidious Neutrinos, Entropy, and Gravitational Collapse: what we learn about neutrinos, beyond standard model physics, and the creation of the elements, from the collapse of massive stars
The weakest forces of nature team up to engineer the demise of massive stars, compact objects, and maybe the odd causal horizon volume in the very early universe.
Stars make a Faustian bargain with gravitation and the weak interaction: Energy generation and, hence, promise of a longer life, in exchange for changing composition and the seemingly innocent loss of a little entropy through neutrino emission. It is a good deal for lower-mass stars like the sun. But the price proves to be too high for stars with masses in excess of ~ 8 solar masses, where the neutrino emission-induced loss of entropy and the nonlinear nature of gravitation combine with the weak interaction and exotic nuclear physics to cause collapse of the cores of these stars to neutron stars or black holes. Stars with masses in excess of ~ 100 solar masses likewise are vulnerable to instability because so much of their pressure support comes from radiation.
In fact, the nonlinear nature of gravitation means that self-gravitating systems get into trouble whenever their pressure support involves particles moving near light speed. Such objects are, in the words of my late research mentor, “Trembling on the verge of instability.”
That means that very subtle influences, from known, standard model weak interaction processes, but perhaps also from new, beyond-standard-model physics, can figure in the evolution of these objects. Collapse to neutron stars or black holes is the inevitable outcome, but clues about how these murders were committed may be found in nucleosynthesis (especially of the heaviest nuclei) and in the spectrum of remnant masses.
We will discuss how frontier issues in elementary particle physics, especially those involving the mysterious and ghostlike neutrinos, could figure prominently in what happens in these gravitational collapse events and their aftermath.",https://events.umich.edu/event/103833,"West Hall",340,"West Hall",,"AEM Featured
Physics","Department Colloquia
Department of Astronomy
Department of Physics
The Center for the Study of Complex Systems
Applied Physics
LSA Biophysics
Department of Mathematics
Astronomy Colloquia
Undergrad Physics Events"
104022-21808284,"2023-02-10 10:00:00","2023-02-10 11:00:00","Statistics Department Seminar Series: James Zou, Assistant Professor of Biomedical Data Science, Computer Science, and Electrical Engineering, Stanford University","""Clinical trials for AI and AI for clinical trials""","Workshop / Seminar","Abstract: Clinical trials are the gatekeeper and bottleneck of medicine. In the first half of the talk, I discuss lessons learned from our systematic analysis of all the FDA-approved medical AI devices, which reveals key limitations in how AIs are evaluated (Wu et al. Nature Medicine 2021). Motivated by this, I share the design and results from our recent randomized prospective clinical trial evaluating EchoNet, a computer vision AI for assessing cardiac conditions. In the second half, I will discuss how to use AI (Trial Pathfinder) to make clinical trials more diverse and efficient (Liu et al. Nature 2021, Nature Medicine 2022). Trial Pathfinder is used by pharma companies to guide new trials and was selected as a Top Ten Clinical Research Achievement.
Bio: James Zou is an assistant professor of Biomedical Data Science, CS and EE at Stanford University. He develops machine learning methods for biology and medicine. He works on both improving the foundations of ML–-by making models more trustworthy and reliable–-as well as in-depth scientific and clinical applications. He has received a Sloan Fellowship, an NSF CAREER Award, two Chan-Zuckerberg Investigator Awards, a Top Ten Clinical Achievement Award, several best paper awards, and faculty awards from Google, Amazon, Tencent and Adobe.
https://www.james-zou.com/",https://events.umich.edu/event/104022,"West Hall",340,"West Hall",,seminar,"Department of Statistics
Department of Statistics Seminar Series"
103125-21806150,"2023-02-14 15:00:00","2023-02-14 16:00:00","CM-AMO Seminar | 2-D Terahertz Spectroscopy of Cuprate Superconductors","Albert Liu (Max Planck Institute)","Workshop / Seminar","Quantum materials, systems in which quantum effects lead to unique macroscopic phenomena with tremendous technological potential, comprise the forefront of condensed matter physics research. In particular, collective excitations associated with broken-symmetry phases have attracted tremendous attention as powerful windows into their microscopic physics and dynamics. However, spectroscopy of these collective excitations has been hindered by the so-called ‘terahertz gap’, which refers to difficulties in generation and detection of radiation in the terahertz frequency range, where many relevant modes of quantum materials are found.
In response to this challenge, we translate a technique known as 2-D spectroscopy, an optical analogue of multi-dimensional NMR spectroscopy, into the terahertz frequency range. We implement, for the first time, 2-D Terahertz Spectroscopy in a non-collinear, reflection geometry, enabling study of opaque materials and isolation of their constituent terahertz nonlinearities. We apply this technique to the Josephson plasma resonance in La2-xSrxCuO4, a layered high-temperature superconductor, to distill the underlying plasmon correlations. Measurements of the superconducting transition provide evidence of an unconventional phase-disordering transition without pair breaking. I will conclude with an outlook for applying 2-D Terahertz Spectroscopy towards studying light-induced phase transitions.",https://events.umich.edu/event/103125,"West Hall",335,"West Hall",,"Physics
Science","CM-AMO Seminars
Department of Physics"
104035-21808300,"2023-02-15 15:00:00","2023-02-15 16:00:00","Department Colloquium | The Sound of Quantum Mechanics","Konrad Lehnert (JILA)","Workshop / Seminar","In the past decade a new technology domain of quantum sound has emerged. Unlike electrical and optical systems, which are governed by fundamental equations of electromagnetism, acoustical and vibrational phenomena are described by the equations of elastic waves in solid bodies. They are subject to different limitations and can reach different regimes of behavior. Sound is different. The speed of sound in a solid material is 100,000-fold slower than light, elastic waves do not propagate through vacuum, and they can couple to atom-like systems through strain rather than electrical or magnetic dipole interactions. These facts have consequences for quantum information science that we have yet to fully understand. In his talk, I will describe the emergence of this new branch of quantum science, showing both striking demonstrations of quantum sound and highlighting potential applications. In particular, I will demonstrate the dual wave-particle nature of phonons and discuss how quantum acoustics might be the key enabling technology for quantum communication networks.",https://events.umich.edu/event/104035,"West Hall",340,"West Hall",,"Physics
Science","Department Colloquia
Department of Physics
Undergrad Physics Events"
104302-21808807,"2023-02-17 10:00:00","2023-02-17 11:00:00","Statistics Department Seminar Series: Richard Zemel, Professor, Department of Computer Science, Columbia University","""Quantile Risk Control: A Framework for Flexible Bounds on the Probability of High-Loss Predictions""","Workshop / Seminar","Abstract: Learning-based predictive algorithms have tremendous potential to reduce costs and improve outcomes in a breadth of domains including business, healthcare, and government. Rigorous guarantees about the performance of such powerful algorithms are necessary in order to ensure their responsible use. I will describe current results in this area, focusing on the most recent work, which bounds the expected loss of a predictor. In many risk-sensitive applications this is not sufficient, as the distribution of errors is important. In such cases, the quantiles of the loss distribution incurred by a predictor are an alternative and informative way of quantifying its performance. I will present a new framework we have developed for deriving a variety of efficient upper bounds on loss quantiles, which
encompasses previous methods and offers novel formulations. The quantiles can be used as the basis for model validation to select the best predictor from a set, and issue rigorous guarantees on its generalization performance. I will present theoretical properties of our proposed method and demonstrate its ability to control loss quantiles on several real-world datasets.
https://www.cs.columbia.edu/~zemel/",https://events.umich.edu/event/104302,"West Hall",340,"West Hall",,Physics,"Department of Statistics
Department of Statistics Seminar Series"
104070-21808362,"2023-02-17 15:00:00","2023-02-17 16:30:00","The Michigan Anthropology Colloquia Series","""The Petro-State Masquerade"" by Ryan Cecil Jobson","Lecture / Discussion","The Department of Anthropology proudly presents
Michigan Anthropology Colloquia Series
""The Petro-State Masquerade:
Oil and Sovereignty in Trinidad and Tobago""
By Ryan Cecil Jobson
Neubauer Family Assistant Professor of Anthropology
University of Chicago
In-person and virtual
3:00 - 4:30 PM
West Hall, Room 411
https://umich.zoom.us/j/92496167134
“The Petro-State Masquerade” considers how postcolonial political futures in the Caribbean nation-state of Trinidad and Tobago came to be staked to the market futures of oil, natural gas, and their petrochemical derivatives.
Drawing on archival and ethnographic research, Jobson theorizes how the tenuous relationship between oil and political power—enshrined in the hyphenated form of the petro-state—is represented by postcolonial state officials as a Carnivalesque “masquerade of permanence” through the perpetual expansion of fossil fuel ventures. At the same time, low oil and gas prices, diminishing reserves, and renewable energy innovations threaten the viability of the Trinbagonian energy sector. In turn, Jobson examines the turn to offshore exploration in the deepwater sector beginning in 1998.
Characterized by protracted production cycles, deepwater ventures feature prohibitive costs and a comparatively low probability of success. After several deepwater ventures failed to yield substantive commercial quantities of oil or gas, the unfulfilled potential of a lucrative offshore geology is invoked to mitigate uncertainty and secure the long-term viability of the Trinbagonian energy sector. In their masquerade, state officials depict fossil fuels as inexhaustible resources waiting to be unearthed by multinational capital and novel extractive technologies.",https://events.umich.edu/event/104070,"West Hall",411,"West Hall",,"AEM Featured
Anthropology
Free","Department of Anthropology"
104311-21808812,"2023-02-24 10:00:00","2023-02-24 11:00:00","Statistics Department Seminar Series: Luay Nakhleh, Dean of the George R. Brown School of Engineering, Rice University",,"Workshop / Seminar",TBA,https://events.umich.edu/event/104311,"West Hall",340,"West Hall",,Physics,"Department of Statistics
Department of Statistics Seminar Series"
103732-21807704,"2023-02-24 12:00:00","2023-02-24 13:00:00","LAGS Seminar | Industrial Experience and Technical Discussion on Induced Polarization for Subsurface Characterization","Qiuzi Li (ExxonMobil)","Workshop / Seminar","Join Zoom Meeting
https://umich.zoom.us/j/95573161835
Meeting ID: 955 7316 1835
Passcode: 054136
There has been substantial interest in applying induced polarization phenomena, which broadly include electrode and membrane polarization, to characterize organic contamination and biogeochemical environments. The presence of dispersed electronically conductive grains contributes to the electrode polarization, which arises due to the capacitive charging of the Stern Layer at the conductor-electrolyte interface. On the other hand, the membrane polarization is driven by spatial inhomogeneity in the ionic transferences, i.e., the proportion of current carried by the cation vs. the anion. Several phenomenological models, semi-quantitative models, and models for particular pore shapes have been proposed for understanding induced polarization. Here, we developed theoretical frameworks to quantitatively explain electrode and membrane polarization based on insights from experiments on model systems. We obtained quantitative agreement between experiment and theory, not just for characteristic frequencies and amplitudes, but for the entire spectral shape of the phase angle between electric field and current density.
Biography: Dr. Qiuzi Li obtained BS in physics from Zhejiang University and Ph.D. in Theoretical Condensed Matter Physics from the University of Maryland-College Park. Her graduate research covered four distinct research areas: transport in disordered mesoscopic systems with a primary focus on graphene, quantum computation, three-dimensional topological insulators, and cold dipolar molecules. She is now pursuing a part-time MBA at Rutgers University concentrating on supply chain management and technology commercialization and entrepreneurship. Qiuzi joined ExxonMobil in 2013. Her primary research centers on the development of new methods for subsurface characterizations. Along the way, she invented a magneto-seismic method for detecting hydrocarbons and developed a fundamental understanding of the induced polarization exploration method. She has also developed a quantitative theory for modeling fluid flow effects on seismic, transport mechanisms in unconventional reservoir rocks, and oil recovery for mixed macro-and micro-pore carbonate reservoirs. Currently she leads the geological carbon storage program. In addition, Qiuzi served on the Committee on the Status of Women in Physics of American Physical Society. She also served as Chair of the New Professional Program group and the President of Asian Connection for Excellence (an Employee Resource Group at ExxonMobil). She recently awarded 2022 Distinguished Lectureship on Application of Physics by the American Physical Society.",https://events.umich.edu/event/103732,"West Hall",335,"West Hall",,"Physics
Science","Life After Grad School Seminars
Department of Physics"
103126-21806151,"2023-03-14 15:00:00","2023-03-14 16:00:00","CM-AMO Seminar","Fahad Mahmood (University of Illinois Urbana-Champaign)","Workshop / Seminar",TBA,https://events.umich.edu/event/103126,"West Hall",335,"West Hall",,"Physics
Science","CM-AMO Seminars
Department of Physics"
104372-21808975,"2023-03-16 17:00:00","2023-03-16 18:00:00","The Michigan Anthropology Colloquia Series","Anna Babel, Associate Professor of Hispanic Linguistics, The Ohio State University","Lecture / Discussion","The Department of Anthropology is proud to present
The Michigan Anthropology Colloquia series
Anna Babel is a sociolinguist and a linguistic anthropologist. Her research focuses on the relationship between language and social categories, particularly in settings of language contact. She has carried out long-term research in the Santa Cruz valleys of Bolivia, the setting of her ethnography, Between the Andes and Amazon. Her most recent work considers how we become aware of different ways of speaking, and conversely how our knowledge and beliefs about language influence the way that we speak. In addition to these areas of expertise, she teaches on the role of language in the construction of US and Latino/a/x identities.",https://events.umich.edu/event/104372,"West Hall","Linguistics Lab","West Hall",,Anthropology,"Department of Anthropology"
104313-21808814,"2023-03-17 10:00:00","2023-03-17 11:00:00","Statistics Department Seminar Series: Fan Li, Professor, Department of Statistical Science, Duke University",,"Workshop / Seminar",TBA,https://events.umich.edu/event/104313,"West Hall",340,"West Hall",,Physics,"Department of Statistics
Department of Statistics Seminar Series"
86568-21634905,"2023-03-21 15:00:00","2023-03-21 16:00:00","CM-AMO Seminar ","Sara Haravifard (Duke University)","Workshop / Seminar","CM-AMO Seminar
",https://events.umich.edu/event/86568,"West Hall",335,"West Hall",,"Physics
Science","Department of Physics
CM-AMO Seminars"
104314-21808816,"2023-03-24 10:00:00","2023-03-24 11:00:00","Statistics Department Seminar Series: Richard Samworth, Professor of Statistical Science, Director of Statistical Laboratory, University of Cambridge",,"Workshop / Seminar",TBA,https://events.umich.edu/event/104314,"West Hall",340,"West Hall",,Physics,"Department of Statistics
Department of Statistics Seminar Series"
104377-21808980,"2023-03-27 15:00:00","2023-03-27 16:00:00","The Michigan Anthropology Colloquia Series","""Crossing a Line: Laws, Violence & Roadblocks to Palestinian Political Expression"" by Amahl Bishara","Lecture / Discussion","The Department of Anthropology is proud to present
The Michigan Anthropology Colloquia Series
*Crossing a Line: Laws, Violence & Roadblocks to Palestinian Political Expression*
Amahl Bishara
Associate Professor and Chair, Anthropology
Tufts University
The event will be offered in-person and virtually.
Attend on Zoom: https://umich.zoom.us/j/92496167134
Palestinians living on different sides of the Green Line make up approximately one-fifth of Israeli citizens and about four-fifths of the population of the West Bank. In both groups, activists assert that they share a single political struggle for national liberation. Yet, obstacles inhibit their ability to speak to each other and as a collective. Geopolitical boundaries fragment Palestinians into ever smaller groups. Through ethnography, Bishara enters these distinct environments for political expression and action of Palestinians who carry Israeli citizenship and Palestinians subject to Israeli military occupation in the West Bank, and considers how Palestinians are differently impacted by dispossession, settler colonialism, and militarism. Bishara looks to sites of political practice—journalism, historical commemorations, street demonstrations, social media, in prison, and on the road—to analyze how Palestinians create collectivities in these varied circumstances. She draws on firsthand research, personal interviews, and public media to examine how people shape and reshape meanings in circumstances of constraint. In considering these different environments for political expression and action, Bishara illuminates how expression is always grounded in place—and how a people can struggle together for liberation even when they cannot join together in protest.
Amahl Bishara is Associate Professor and Chair of the Anthropology Department at Tufts University. She is the author of Crossing a Line: Laws, Violence, & Roadblocks to Palestinian Political Expression (Stanford 2022), about different conditions of expression for Palestinian citizens of Israel and Palestinians in the West Bank. She also writes about popular refugee politics in the West Bank. Her first book, Back Stories: U.S. News and Palestinian Politics (Stanford University Press 2013), is an ethnography of the production of U.S. news during the second Palestinian Intifada. She is the president of the Middle East Section of the American Anthropological Association.",https://events.umich.edu/event/104377,"West Hall",411,"West Hall",,Anthropology,"Department of Anthropology"
103127-21806152,"2023-03-28 15:00:00","2023-03-28 16:00:00","CM-AMO Seminar","Debanjan Chowdhury (Cornell University)","Workshop / Seminar",TBA,https://events.umich.edu/event/103127,"West Hall",335,"West Hall",,"Physics
Science","CM-AMO Seminars
Department of Physics"
103488-21807340,"2023-04-03 15:00:00","2023-04-03 16:30:00","The Michigan Anthropology Colloquia Series","Lydia Beaudrot, Assistant Professor of Biosciences, Rice University","Lecture / Discussion","The Department of Anthropology is proud to present
The Michigan Anthropology Colloquia series
Lydia Beaudrot, Rice University
This event will be presented both in-person and virtually.
Attend on Zoom: https://umich.zoom.us/j/92496167134
Lydia Beaudrot is an Assistant Professor of Biosciences and a faculty member in the Program in Ecology and Evolutionary Biology at Rice University. Her research group uses observational data and statistical modeling to address research questions at the interface of ecological theory and conservation biology, focusing particularly on tropical forest mammal communities. Beaudrot earned her PhD in Ecology from the University of California, Davis. Afterwards, she worked as a postdoc at Conservation International for the Tropical Ecology Assessment and Monitoring Network (TEAM). Beaudrot was then a member of the Michigan Society of Fellows in the Department of Ecology and Evolutionary Biology at the University of Michigan for three years before joining the faculty at Rice.",https://events.umich.edu/event/103488,"West Hall",411,"West Hall",,"AEM Featured
Anthropology","Department of Anthropology"
103128-21806153,"2023-04-04 15:00:00","2023-04-04 16:00:00","CM-AMO Seminar","Hanyu Zhu (Rice University)","Workshop / Seminar",TBA,https://events.umich.edu/event/103128,"West Hall",335,"West Hall",,"Physics
Science","CM-AMO Seminars
Department of Physics"
103458-21807231,"2023-04-24 11:00:00","2023-04-24 12:00:00","Special CM-AMO Seminar","Xiaodong Xu (University of Washington)","Workshop / Seminar",TBA,https://events.umich.edu/event/103458,"West Hall",335,"West Hall",,"Physics
Science","CM-AMO Seminars
Department of Physics"