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        "event_title":"Extreme Superposition: Rogue Waves of Infinite Order, Universality, and Anomalous Temporal Decay",
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        "description":"Focusing nonlinear Schr\u00f6dinger equation serves as a universal model for the amplitude of a wave packet in a general one-dimensional weakly-nonlinear and strongly-dispersive setting that includes water waves and nonlinear optics as special cases. Rogue waves of infinite order are a novel family of solutions of the focusing nonlinear Schr\u00f6dinger equation that emerge universally in a particular asymptotic regime involving a large-amplitude and near-field limit of a broad class of solutions of the same equation. In this talk, we will present several recent results on the emergence of these special solutions along with their interesting asymptotic and exact properties. Notably, these solutions exhibit anomalously slow temporal decay and are connected to the third Painlev\u00e9 equation. Finally, we will extend the emergence of rogue waves of infinite order to the first several flows of the AKNS hierarchy\u2014allowing for arbitrarily many simultaneous flows\u2014and report on recent work regarding their space-time asymptotic behavior under a general flow from the hierarchy.",
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        "event_title":"Public Finance Seminar: Monday, March 16",
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        "event_title":"How to Model Science as a Complex System",
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        "description":"Tracing the historical dynamics of science can reveal how scientific knowledge emerges and evolves over time. Because scientific knowledge is embedded in increasingly complex systems, comprising shifting relationships among people, the organisms and matter they study, technology, data, publications, and the concepts they utilize, scholars are looking beyond traditional historiographical methods towards quantitative and computational tools. Big data, network analysis, and machine learning enhance the scale and speed of analysis, but these methods often ignore or erase the critical roles that context (like time period, geography, and discipline) and different types of data (like image and audio data) play in the development of new knowledge. In this talk, I present context- and data-sensitive computational methods that extend efforts to model the evolution of science as a complex system. These methods reveal when new knowledge emerges and how the features of old scientific information constrain features of new scientific knowledge.",
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        "event_subtitle":"Melanie Meng Xue, London School of Economics",
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        "description":"This paper studies how ideas emphasizing individual moral agency shape political behavior under autocracy by tracing the rise of Wang Yangming\u2019s School of Mind in late imperial China. Using a new dataset of over 24,000 historical texts from 1000 to 1900, we measure regional exposure with two indicators: the frequency of core concepts and the count of associated authors. We also introduce a semantic similarity measure that compares local texts to Wang Yangming\u2019s writings. A difference-in-differences design exploiting the staggered introduction of public lectures shows that exposure rises after a prefecture\u2019s first lecture, with effects that persist in subsequent cohorts. Prefectures with higher exposure were more likely to produce reformist leaders in the Donglin Movement (1604\u20131627). Under the Qing (1644\u20131911), public lecturing was curtailed and the intellectual agenda shifted, so the lecture channel that helped seed Yangming learning in the Ming largely disappears from the record. Using contemporary survey data from 2010, we nevertheless find that detectable traces remain: residents in historically exposed prefectures express stronger support for the right to discuss public affairs and for limiting government involvement in private affairs. Together, the results link Yangming learning to reformist mobilization among elites and to long-run variation in attitudes toward political voice and the appropriate scope of government.",
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        "datetime_modified":"20260309T101849",
        "datetime_start":"20260318T143000",
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        "date_end":"2026-03-18",
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        "event_title":"Understanding Sorting in Modern Housing Markets",
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        "combined_title":"Understanding Sorting in Modern Housing Markets: Marcus Casey, University of Illinois Chicago",
        "event_subtitle":"Marcus Casey, University of Illinois Chicago",
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        "event_type_id":"21",
        "description":"This paper explores how the changing role of sorting by race in driving neighborhood change. Building on prior research focused on localized incumbent responses to localized changes in the racial composition of nearby neighbors, we explore how such micro-level sorting behavior may inform understanding of broader neighborhood transitions and heterogeneity across cities. Evidence suggests that local context,  density, and housing-market conditions generate important heterogeneity across place.",
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        "datetime_modified":"20260226T103302",
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        "datetime_end":"20260318T161000",
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        "time_start":"15:10:00",
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        "event_title":"NEW DATE: MIPSE Seminar | Magnetic Confinement Fusion: The Path to the Spherical Tokamak and NSTX-U",
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        "combined_title":"NEW DATE: MIPSE Seminar | Magnetic Confinement Fusion: The Path to the Spherical Tokamak and NSTX-U: Dr. Phillip Bonofiglo, Princeton Plasma Physics Laboratory",
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        "description":"Abstract: \nNuclear fusion research has been ongoing since the 1950\u2019s. Following the development of atomic weapons, scientists have been searching for methods to achieve controlled and sustained nuclear fusion for clean and abundant energy production. Magnetic fields quickly became a viable option for confining the high-temperature, high-density plasmas needed. Many magnetic confinement schemes were developed (magnetic mirrors, stellarator, tokamak, spherical tokamak). Each design has had various degrees of success, and each has its own drawbacks. With the invention of the stellarator in 1953, Princeton Plasma Physics Laboratory (PPPL) has been a pioneer in fusion research. Researchers have produced computational and experimental contributions to fusion research, culminating in the 2026 construction and operation of the National Spherical Tokamak Experiment \u2013 Upgrade (NSTX-U). This talk will introduce nuclear fusion, discuss why we need a confinement scheme, introduce the basic principles of magnetic confinement fusion (MCF), and provide an overview of the popular confinement schemes. The talk will focus on tokamaks and the potential advantages of the spherical tokamak, examine upcoming experiments on NSTX-U, projected to be the world\u2019s most powerful spherical tokamak, and conclude with open questions in MCF.\n\nAbout the Speaker: \nDr. Phillip Bonofiglo is a Staff Research Physicist at the Princeton Plasma Physics Laboratory (PPPL). He received his B.S. in physics from the University of Michigan \u2013 Ann Arbor where he was introduced to plasma physics research through high energy density physics experiments. Phil then received his Ph.D. from the University of Wisconsin \u2013 Madison where his career in magnetic confinement fusion began. After obtaining his Ph.D., Phil joined PPPL as a postdoc where he specialized in the confinement and transport of energetic particles, often combining numerical simulations and experimental measurements. His research career has since spanned almost every magnetic confinement fusion concept including reversed-field configurations, stellarators, tokamaks, and spherical tokamaks. He participated in the recent DT-campaign on the Joint European Torus (JET), examining DT-alpha confinement, and has upcoming experiments on the Mega Ampere Spherical Tokamak \u2013 Upgrade (MAST-U) and National Spherical Tokamak Experiment \u2013 Upgrade (NSTX-U) devices.\n\nThis seminar is free and open to the public. It will be conducted in person and on Zoom, please check MIPSE website for details: https:\/\/mipse.umich.edu\/seminars_2526.php",
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        "id":"145571-21897540",
        "datetime_modified":"20260313T143918",
        "datetime_start":"20260319T104500",
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        "time_zone":"America\/Detroit",
        "event_title":"IES Energy Seminar Series - Solving Optimal Transmission Switching with De-energization",
        "occurrence_title":"",
        "combined_title":"IES Energy Seminar Series - Solving Optimal Transmission Switching with De-energization: Benoit Jeanson, RTE",
        "event_subtitle":"Benoit Jeanson, RTE",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"Abstract:\nOptimal Transmission Switching (OTS) has been widely studied as a way to improve the secure operation of power systems by adjusting network topology. This presentation introduces an extension of OTS that explicitly allows partial grid de-energization following contingencies. Such a formulation reflects operational situations where disconnecting a limited portion of the grid may be preferable to operating the system under severe overload conditions. The problem is formulated as an optimization model capturing switching decisions and post-contingency feasibility. A fast heuristic based on this model is used to quickly identify feasible network configurations and detect critical contingencies. Building on the same formulation, the optimization problem is further addressed using a Benders decomposition approach with specialized mechanisms to maintain computational tractability. Results on realistic grid instances illustrate how this approach can improve system resilience by reducing contingency-induced de-energization.\n\nBiography:\nAfter graduating as an electrical engineer from ENSEEIHT (Toulouse, France), Beno\u00eet spent more than 20 years at RTE, the French transmission system operator, where he held several positions mainly related to power system operations. He first worked as a short-term planning engineer before joining the headquarters, where he contributed to the development and dissemination of new power system study methodologies. During this time, he was also involved in European coordination initiatives within ENTSO-E. He later contributed to the development of open-source initiatives for power systems in collaboration with the Linux Foundation Energy. Since 2023, he has been pursuing a PhD at TU Delft through CRESYM, focusing on topology optimization of power grids, with support from RTE.",
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    ,        {
        "id":"146152-21898595",
        "datetime_modified":"20260313T155924",
        "datetime_start":"20260319T150000",
        "datetime_end":"20260319T160000",
        "has_end_time":1,
        "date_start":"2026-03-19",
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        "event_title":"Biomedical Engineering (BME 500) Seminar Series",
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        "combined_title":"Biomedical Engineering (BME 500) Seminar Series: \"Patterned Biomaterials: New Tools to Probe and Control Complex Biological Systems,\" with Jouha Min, Ph.D.",
        "event_subtitle":"\"Patterned Biomaterials: New Tools to Probe and Control Complex Biological Systems,\" with Jouha Min, Ph.D.",
        "event_type":"Workshop \/ Seminar",
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        "description":"Patterned Biomaterials: New Tools to Probe and Control Complex Biological Systems\n\nAbstract:\nEngineered materials and molecular sensing tools are transforming how we study and control complex biological systems. Yet many technologies operate at a single scale\u2014either manipulating cellular environments without molecular precision or profiling molecular signals without spatial or mechanical context. My lab addresses this challenge through chemical and materials innovation, developing scalable platforms that integrate molecular design with quantitative analysis. We focus on two complementary directions: (1) physico-chemical design of soft interfaces with tunable nanoscale architecture and dynamic mechanics to probe and control material\u2013biology interactions, and (2) biomolecular sensing platforms that combine polymer chemistry, optical or electrochemical detection, and data-driven analysis for accessible diagnostics. In this talk, I will highlight two representative efforts: nature-inspired nanopatterned coatings with dynamically tunable surface topography for long-term antibacterial activity, and integrated bioanalytical sensing technologies for early, point-of-care detection of sepsis.  \n\nBio:\nDr. Jouha Min is an Assistant Professor in the Department of Chemical Engineering at University of Michigan. She received her B.S. in Chemical Engineering from Cornell University in 2010 and her Ph.D. in Chemical Engineering from MIT, where she was advised by Paula Hammond and Richard Braatz. She conducted her postdoctoral research with Ralph Weissleder at Harvard Medical School and Massachusetts General Hospital, where she worked at the interface of engineering, biology, and clinical translation. Dr. Min\u2019s research group applies core principles of chemical and biological engineering\u2014including transport phenomena, reaction kinetics, materials synthesis, and systems-level analysis\u2014to develop new methodologies for probing and controlling material\u2013biology interactions across three-dimensional space and time. Her work aims to establish a quantitative and mechanistic foundation for transformative advances in disease diagnosis, treatment, and prevention. She is the recipient of several honors, including the NSF CAREER Award (2025), the NIH R35 MIRA Award (2025), and the V Foundation V Scholar Award (2023).",
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        "event_title":"IES Energy Seminar Series - Energy Needs and Opportunities in Wastewater Treatment AND In situ treatment of PFAS using adsorptive and reactive barrier walls",
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        "combined_title":"IES Energy Seminar Series - Energy Needs and Opportunities in Wastewater Treatment AND In situ treatment of PFAS using adsorptive and reactive barrier walls: Charlie Werth, UT Austin & ARPA-E",
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        "description":"IES Seminar Abstract:\nEnergy demands to treat municipal wastewater can represent up to 2% of U.S. electricity consumption, and 40 to 60% of this demand is required for aeration to biologically oxidize organic waste and nitrify urea-sourced ammonia.  This energy consumption is ironic, given that organics in domestic wastewater have the potential to favorably deliver more than 5 billion amps of current, and that 50 million GJ\/yr of energy are used each year to produce the equivalent amount of ammonia via the Haber-Bosch process.  In this talk, I will explore opportunities to transform wastewater treatment plants into energy factories, where electrochemical methods are used to direct electrons in wastewater toward synthesis of value-added products, and advanced separation methods are used to recovery ammonia as a commodity fertilizer.\n\nCEE Seminar Abstract:\nPer and poly-fluoroalkyl substances (PFAS) are extraordinarily stable and widely used chemicals used to create many consumer and industrial products, including non-stick cookware, water-resistant textile coatings, food packaging, cosmetics, semi-conductors, and aqueous film-forming foams (AFFFs).  Due to their widespread use, PFAS have been released to the environment and have contaminated at least 9,500 different sites in the United States.  This is a concern because even at very low concentrations PFAS ingestion has been correlated to negative health impacts, including delayed developmental, immune system suppression, and cancer.  Efforts to clean up PFAS in groundwater have mainly relied on ex situ approaches, where contaminated groundwater is pumped it to the ground surface and treated in engineered reactors using energy intensive thermal, (electro)chemical, ultrasonic, or plasma-based technologies.  An emerging in situ approach is to create barriers to PFAS migration in contaminated aquifers from sorbent materials, e.g., by injecting colloidal activated carbon (CAC) through wells into contaminated aquifers, where it becomes immobilized.  However, there remains great uncertainty in how long these sorptive barriers will prevent PFAS migration, and if sorptive barrier amendments can be engineered to promote PFAS degradation.  In this talk, I will present experimental and modeling results that address mechanisms controlling PFAS migration in CAC barriers, CAC barrier effectiveness and lifetimes, and an abiotic reaction pathway that complements CAC barriers by promoting in situ PFAS destruction.\n\nBiography:\nDr. Charles Werth is a Professor and the Bettie Margaret Smith Chair in Environmental Health Engineering in the Maseeh Department of Civil, Architectural and Environmental Engineering at the University of Texas at Austin.  Dr. Werth\u2019s research and teaching background includes fundamental and applied studies on pollutant fate and treatment in both natural and engineered water systems, with applications in electro(catalytic) drinking water treatment, in situ groundwater remediation, and subsurface storage of carbon dioxide and hydrogen.  Dr. Werth received his B.S. in Mechanical Engineering from Texas A&M University, and M.S. and Ph.D. in Civil and Environmental Engineering from Stanford University.",
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        "datetime_modified":"20260317T104211",
        "datetime_start":"20260319T160000",
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        "event_title":"EEB Thursday Seminar Series - Commonness, rarity, and biodiversity on Indo-Pacific coral reefs: Confronting ecological theory with data in species-rich systems",
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        "combined_title":"EEB Thursday Seminar Series - Commonness, rarity, and biodiversity on Indo-Pacific coral reefs: Confronting ecological theory with data in species-rich systems: Sean Connolly, Smithsonian Tropical Research Institute\/James Cook University",
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        "description":"Seminar Summary - Ecologists have long sought to understand spatial and temporal patterns in abundance and biodiversity, but the classical approach to developing theory to explain such patterns cannot work in species-rich systems, due to the \u201ccurse of dimensionality\u201d \u2013 a tendency for the parameters needed to draw inferences about a community to grow faster than the number of observations, as species richness increases. \nIn this talk, I will summarize one strand of my lab\u2019s research program, which aims to explore potential solutions to the curse of dimensionality, test them with empirical data \u2013 mainly from coral reefs \u2013 and use them to unveil the factors that structure marine assemblages. I will begin by summarizing our earlier work developing a robust test of neutral theory of biodiversity, the most aggressively simplifying of biodiversity theories. I will then present work extending an alternative, intermediate-complexity mathematical theory that evaluates the dynamics of species\u2019 relative abundances to quantify the relative importance of deterministic and stochastic processes that generate patterns in community structure; when applied to coral reef fishes on the Great Barrier Reef, that work reveals that reef fish communities are highly niche-structured, but that this niche structure is eroded by volatility in coral cover. Finally, I will present work relaxing the simplifying assumptions of the former theory, which uses dimension-reduction approaches to allow for considerable heterogeneity among species in both interaction strengths and  responses to environmental fluctuations. When applied to reef fishes on the GBR, we find a classically Gleasonian community structure, where the dynamics of relative abundance are driven by conspecific density-dependence and \u201cresponse diversity\u201d \u2013 differential responses of species\u2019 population dynamics to environmental fluctuations, but where between-species interactions have negligible impacts on community dynamics. I will conclude with some thoughts on where community ecology stands, in terms of its ability to rigorously confront theoretical models with empirical data to answer the fundamental questions that have long motivated research in this field.",
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        "event_title":"Statistics Department Distinguished Alumni Speaker Series: Bodhisattva Sen, Professor, Department of Statistics, Columbia University",
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        "combined_title":"Statistics Department Distinguished Alumni Speaker Series: Bodhisattva Sen, Professor, Department of Statistics, Columbia University: \"Wasserstein-Cramer-Rao Theory of Unbiased Estimation\"",
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        "description":"Abstract: The quantity of interest in the classical Cramer-Rao theory of unbiased estimation (i.e., the Cramer-Rao lower bound, exact efficiency in exponential families, and asymptotic efficiency of maximum likelihood estimation) is the variance, which represents the instability of an estimator when its value is compared to the value for an independently-sampled data set from the same distribution. In this paper we are interested in a quantity which represents the instability of an estimator when its value is compared to the value for an infinitesimal additive perturbation of the original data set; we refer to this as the \"sensitivity\" of an estimator. The resulting theory of sensitivity is based on the Wasserstein geometry in the same way that the classical theory of variance is based on the Fisher-Rao (equivalently, Hellinger) geometry, and this insight allows us to determine a collection of results which are analogous to the classical case: a Wasserstein-Cramer-Rao lower bound for the sensitivity of any unbiased estimator, a characterization of models in which there exist unbiased estimators achieving the lower bound exactly, and a guarantee that Wasserstein projection estimators achieve the lower bound asymptotically. We use these results to treat many statistical examples, sometimes revealing new optimality properties for existing estimators and other times revealing new estimators. This is joint work with Nicolas Garcia Trillos (U Wisconsin) and Adam Jaffe (Columbia) and is based on the paper: https:\/\/arxiv.org\/pdf\/2511.07414.",
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        "datetime_modified":"20260226T120252",
        "datetime_start":"20260324T160000",
        "datetime_end":"20260324T170000",
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        "event_title":"CPOD Winter\/Spring 2026 Seminar Series: \"Wnt you thought you knew about Wnt signaling\"",
        "occurrence_title":"",
        "combined_title":"CPOD Winter\/Spring 2026 Seminar Series: \"Wnt you thought you knew about Wnt signaling\"",
        "event_subtitle":"",
        "event_type":"Lecture \/ Discussion",
        "event_type_id":"13",
        "description":"Stephanie Grainger, Ph.D.\nAssistant Professor\nCell Biology\nVan Andel Institute",
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                "guid":"145982-21898223@events.umich.edu",
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        "datetime_modified":"20260316T122849",
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        "time_zone":"America\/Detroit",
        "event_title":"MPSDS \/ JPSM Seminar Series: From Survey to SurvAI:  The Promises and Precautions of AI for Survey Research",
        "occurrence_title":"",
        "combined_title":"MPSDS \/ JPSM Seminar Series: From Survey to SurvAI:  The Promises and Precautions of AI for Survey Research: Trent D. Buskirk - Old Dominion University",
        "event_subtitle":"Trent D. Buskirk - Old Dominion University",
        "event_type":"Workshop \/ Seminar",
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        "description":"MPSDS \/ JPSM Seminar Series\nMPSDS M3 Series: Mastery, Methodology, Meetups\n\nIn person, room 1070 Institute for Social Research, and via Zoom.\nThe Zoom call will be locked 10 minutes after the start of the presentation.\n\nFrom Survey to SurvAI:  The Promises and Precautions of AI for Survey Research\n\nLarge language models (LLMs) are rapidly transforming many professional domains, including survey research. Eloundou et al. (2024) rank survey research among the most highly exposed occupations to LLM-driven automation, raising both opportunities and challenges for practitioners. While survey science has a rich tradition of adopting technological tools for tasks like data collection, analysis, and instrument design, the unique affordances and risks associated with LLMs call for a structured examination.\n\nThis paper presents findings from a systematic literature review of empirical and theoretical work at the intersection of LLMs and survey research.  Specifically, we sought to synthesize examples of how LLMs are being applied across three broad phases of the survey research pipeline including: pre-data collection, data collection and post-data collection.  Methodologically, this review identifies uneven distribution of LLM application across the survey pipeline. While pre-data collection stages (e.g., item writing, translation) are well explored, core practices like live interviewing, recruitment, and cross-lingual adaptation remain under-investigated. Additionally, few studies assess LLMs systematically across multiple populations, languages, or survey topics. In this presentation we will highlight not just the breadth of current use cases, but also the methodological and ethical considerations that must accompany them noting examples that are both promising as well as precautionary.\n\nTrent D. Buskirk, Ph.D.  has recently joined the new School of Data Science at Old Dominion University.  Prior to this appointment, Trent was the Novak Family Distinguished Professor of Data Science and outgoing Chair of the Applied Statistics and Operations Research Department at Bowling Green State University.  Dr. Buskirk is a Fellow of the American Statistical Association and his research is positioned at the intersection of survey science, data science, computational social science, and human\u2013AI interaction.  His specific research interests include Schema-Driven LLM-Based Inference, big data quality, recruitment methods through social media, the use of big data and machine learning methods for health, social and survey science design and analysis, mobile and smartphone survey designs and in methods for calibrating and weighting samples and fairness in AI models and interpretable ML methods.  Trent has also been involved in various professional organizations serving as the President of the Midwest Association for Public Opinion Research in 2016, the Conference Chair for AAPOR in 2018 and a member of the scientific committee for the BigSurv series of conferences since 2018.  Trent as also served as an Associate Editor (Methods) for the Journal of Survey Statistics and Methodology.    Dr. Buskirk is currently serving on the AAPOR Responsible Integration of AI in Survey Research task force.  When Trent is not geeking out over data science or survey research, he\u2019s likely out playing a competitive game of Pickleball!",
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        "datetime_modified":"20260311T094019",
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        "event_title":"Counting Defiers: A Design-Based Model of a Randomized Experiment Can Reveal Evidence Beyond the Average Effect (with Neil Christy)",
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        "combined_title":"Counting Defiers: A Design-Based Model of a Randomized Experiment Can Reveal Evidence Beyond the Average Effect (with Neil Christy): Amanda Kowalski, University of Michigan",
        "event_subtitle":"Amanda Kowalski, University of Michigan",
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        "description":"We estimate the numbers of always takers, compliers, defiers, and never takers in the sample of people in an experiment, rather than a hypothetical population from which it was drawn, using structure from the randomization design. Our data include only a binary intervention and outcome. We develop a visualization to show that samples with defiers can sometimes generate the data in more ways than samples without defiers, yielding a higher design-based likelihood. We propose a maximum likelihood decision rule that can harness this evidence, which is not captured by standard hypothesis tests, and we provide optimality conditions. We illustrate the output of our decision rule for all possible data in samples of 50 and 200 with half in intervention, demonstrating a pattern in when the MLE includes defiers despite a positive average effect. We provide insights into effect heterogeneity in two published experiments with interventions that could plausibly backfire for some people despite statistically significant positive average effects on takeup of desirable health behaviors. In both, our 95% credible sets include the estimated Frechet bounds, demonstrating that evidence is weak. Yet, our MLE includes no defiers in one; in the other, the MLE includes a count of defiers equal to the estimated upper Frechet bound, over 18% of the sample. The MLE can support a monotonicity assumption or a specific alternative as a step toward improving the average effect of future interventions by targeting them away from noncompliers. Our dbmle package, compatible with Python and Stata, implements our statistics.",
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    ,        {
        "id":"141934-21889651",
        "datetime_modified":"20260228T101529",
        "datetime_start":"20260325T153000",
        "datetime_end":"20260325T165000",
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        "date_start":"2026-03-25",
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        "time_zone":"America\/Detroit",
        "event_title":"Michigan Lectures in Algebraic Geometry and Topology: Stable homology of moduli spaces and moments in families of L-functions over function fields",
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        "combined_title":"Michigan Lectures in Algebraic Geometry and Topology: Stable homology of moduli spaces and moments in families of L-functions over function fields: Dan Petersen (Stockholm U.)",
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        "description":"In recent years, several problems in arithmetic statistics that seem completely intractable over number fields, have been resolved in the case of function fields by geometric methods; more specifically, by casting the problem in terms of the homology of a suitable moduli space of algebraic curves, and understanding the homology asymptotically. Perhaps the most notable is the work of Ellenberg-Venkatesh-Westerland and Landesman-Levy on Cohen-Lenstra heuristics. \n\nI will talk about joint work with Bergstr\u00f6m-Diaconu-Westerland and Miller-Patzt-Randal-Williams, where this paradigm is applied to another problem in analytic number theory. There is a \"recipe\" due to Conrey-Farmer-Keating-Rubinstein-Snaith (CFKRS) which allows for precise predictions for the asymptotics of moments of many different families of L-functions. We consider the family of all L-functions attached to hyperelliptic curves over some fixed finite field, in which case we are able to prove the CFKRS predictions for all moments, for all sufficiently large (but fixed) q.\nWe do this by studying the homology of the moduli space of hyperelliptic curves, with symplectic coefficients: we compute the stable homology groups, together with their structure as Galois representations, and prove a novel homological stability theorem in this setting. The proofs use homotopical ideas developed in connection with the Mumford conjecture, Borel's work on stable real cohomology of arithmetic groups, logarithmic algebraic geometry, and cellular E_k-algebras.",
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        "event_title":"IES Energy Seminar Series - Energy for a Sustainable Future",
        "occurrence_title":"",
        "combined_title":"IES Energy Seminar Series - Energy for a Sustainable Future: Ripu Malhotra, Author of \u201cA Cubic Mile of Oil\u201d",
        "event_subtitle":"Ripu Malhotra, Author of \u201cA Cubic Mile of Oil\u201d",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"Abstract:\n Energy is at the root of many global challenges such as climate change, food production, clean water, and geo-political tensions, but discussions of this important subject are hampered by the fact that different sources of energy are described in different units making it difficult to compare relative contributions. I find the use of a simple visualizable unit, a cubic mile of oil (cmo) as the metric for comparing all energy sources extremely helpful. Use of cmo evokes a visceral response and dispenses with mind-numbing multipliers like billions, and trillions or unfamiliar quantities like Watts and Btus.\n\nThe world currently uses 4 cmo of energy, and by 2050 the demand for energy is expected to increase to over 6 cmo. Electricity consumption is expected to more than double by then, and this demand cannot be met through measures promoting conservation and improving energy efficiency alone, nor as I will show, can renewable sources like wind and solar fulfill this need. Nuclear power can deliver the requisite energy but getting the public to embrace nuclear power is a herculean task. People are concerned over plant safety, long-term storage of spent fuel, and nuclear proliferation. I will discuss these concerns and our general fear of radiation. I will also discuss the newer nuclear designs that are walk-away safe, use accumulated spent fuel, as well as nuclear materials in weapons\u2014a modern-day version of beating swords into plowshares.\n\nBiography:\nRipudaman Malhotra is a retired organic chemist, and during his career at SRI International he specialized on energy-related issues. He has published over 100 peer-reviewed articles and several technical monographs. In 2010 he co-authored \u201cA Cubic Mile of Oil:  The Looming Energy Crisis and Options for Averting It,\u201d The book is a citizen\u2019s guide to energy and to call for an informed public debate on energy, arguably the biggest challenge we face. In 2005 he was named an SRI Fellow; the highest award SRI bestows on its employees for excellence in research. In 2015 he received the Storch Award from the American Chemical Society\u2019s Division of Energy and Fuels, and in 2018 he was named a Fellow of the American Chemical Society",
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        "datetime_modified":"20260228T101635",
        "datetime_start":"20260326T154500",
        "datetime_end":"20260326T165000",
        "has_end_time":1,
        "date_start":"2026-03-26",
        "date_end":"2026-03-26",
        "time_start":"15:45:00",
        "time_end":"16:50:00",
        "time_zone":"America\/Detroit",
        "event_title":"Michigan Lectures in Algebraic Geometry and Topology: Stable homology of moduli spaces and moments in families of L-functions over function fields",
        "occurrence_title":"",
        "combined_title":"Michigan Lectures in Algebraic Geometry and Topology: Stable homology of moduli spaces and moments in families of L-functions over function fields: Dan Petersen (Stockholm U.)",
        "event_subtitle":"Dan Petersen (Stockholm U.)",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"In recent years, several problems in arithmetic statistics that seem completely intractable over number fields, have been resolved in the case of function fields by geometric methods; more specifically, by casting the problem in terms of the homology of a suitable moduli space of algebraic curves, and understanding the homology asymptotically. Perhaps the most notable is the work of Ellenberg-Venkatesh-Westerland and Landesman-Levy on Cohen-Lenstra heuristics. \n\nI will talk about joint work with Bergstr\u00f6m-Diaconu-Westerland and Miller-Patzt-Randal-Williams, where this paradigm is applied to another problem in analytic number theory. There is a \"recipe\" due to Conrey-Farmer-Keating-Rubinstein-Snaith (CFKRS) which allows for precise predictions for the asymptotics of moments of many different families of L-functions. We consider the family of all L-functions attached to hyperelliptic curves over some fixed finite field, in which case we are able to prove the CFKRS predictions for all moments, for all sufficiently large (but fixed) q.\nWe do this by studying the homology of the moduli space of hyperelliptic curves, with symplectic coefficients: we compute the stable homology groups, together with their structure as Galois representations, and prove a novel homological stability theorem in this setting. The proofs use homotopical ideas developed in connection with the Mumford conjecture, Borel's work on stable real cohomology of arithmetic groups, logarithmic algebraic geometry, and cellular E_k-algebras.",
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        "id":"144779-21895839",
        "datetime_modified":"20260317T102939",
        "datetime_start":"20260326T160000",
        "datetime_end":"20260326T170000",
        "has_end_time":1,
        "date_start":"2026-03-26",
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        "time_start":"16:00:00",
        "time_end":"17:00:00",
        "time_zone":"America\/Detroit",
        "event_title":"EEB Thursday Seminar Series - Gene regulation and physiological adaptation: insight from hibernation in bears",
        "occurrence_title":"",
        "combined_title":"EEB Thursday Seminar Series - Gene regulation and physiological adaptation: insight from hibernation in bears: Blair Perry, Michigan State University",
        "event_subtitle":"Blair Perry, Michigan State University",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"Seminar Summary - Hibernation is a complex adaptation involving suppression of metabolism, body temperature, and activity during periods of prolonged resource scarcity. Understanding the genomic basis of hibernation can provide a better understanding for how physiological adaptations are gained, lost, and modified through evolution, and how the modification of gene regulatory mechanisms can play a role in this process. This talk will highlight recent work integrating functional and evolutionary genomic approaches to uncover the gene regulatory mechanisms that underlie hibernation in brown bears (Ursus arctos) and investigate the evolution of hibernation across extant bear species.",
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        "id":"146557-21899268",
        "datetime_modified":"20260313T101736",
        "datetime_start":"20260327T100000",
        "datetime_end":"20260327T112000",
        "has_end_time":1,
        "date_start":"2026-03-27",
        "date_end":"2026-03-27",
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        "time_zone":"America\/Detroit",
        "event_title":"Delegated Screening: Evidence from Government-Backed Loans (with Felipe Brugu\u00e9s, Thi Mai Anh Nguyen, and Sebasti\u00e1n V\u00e9lez)",
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        "combined_title":"Delegated Screening: Evidence from Government-Backed Loans (with Felipe Brugu\u00e9s, Thi Mai Anh Nguyen, and Sebasti\u00e1n V\u00e9lez): Rebecca De Simone, University of Michigan",
        "event_subtitle":"Rebecca De Simone, University of Michigan",
        "event_type":"Workshop \/ Seminar",
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        "description":"Government guarantees are a ubiquitous policy tool, leveraging intermediaries' informational advantage to allocate credit, yet they introduce a fundamental agency conflict: by insulating lenders from losses, they undermine the incentive to screen and distort product choice towards intermediaries' private benefits. This paper examines the power of dynamic incentives in mitigating both frictions. In the context of a large government-backed credit program in Colombia, we find evidence that lenders conduct less screening and take on greater risk with government-backed loans than with their traditional products. However, this tendency is mitigated by a dynamic quota-and-fee mechanism employed by the program.",
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        "datetime_modified":"20260317T130011",
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        "datetime_end":"20260327T150000",
        "has_end_time":1,
        "date_start":"2026-03-27",
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        "time_start":"13:30:00",
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        "event_title":"The Souls of Organizations: Learning, Grief, and Why Higher Education Boards Change Without Changing",
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        "combined_title":"The Souls of Organizations: Learning, Grief, and Why Higher Education Boards Change Without Changing: Demetri Morgan, University of Michigan",
        "event_subtitle":"Demetri Morgan, University of Michigan",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"How do governing boards make decisions about diversity, equity, and inclusion (DEI) in contentious times, and why does organizational learning at the governance level so often stall before producing lasting change? Drawing on a multi-year participatory action research collaboration with a governing board, this talk traces how board members moved through cycles of intuiting, interpreting, and integrating as they developed a decision-making rubric for DEI, yet never institutionalized it. The empirical case reveals a pattern this talk names as \"changing without changing\": boards can build tools, develop shared language, and demonstrate genuine learning while avoiding the deeper losses and possibilities that institutional transformation demands. Taking cues from the Du Boisian tradition of rendering visible the interiority that dominant frameworks suppress, the talk explores what it might mean to take seriously the existential dimensions of institutional life that governance routinely flattens into strategic plans and performance metrics. When boards cannot name or grieve what is ending, learning may circulate without landing. The talk opens a conversation about whether grief work belongs not at the margins of governance but at its foundation, and whether attending to what organizations are losing is a precondition for organizational learning that actually transforms.",
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        "datetime_modified":"20260316T162533",
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        "datetime_end":"20260327T160000",
        "has_end_time":1,
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        "time_start":"15:00:00",
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        "time_zone":"America\/Detroit",
        "event_title":"HET Seminar | Ensemble holography, topological gravity, and codes",
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        "combined_title":"HET Seminar | Ensemble holography, topological gravity, and codes: Al Shapere (UKentucky)",
        "event_subtitle":"Al Shapere (UKentucky)",
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        "description":"In recent years, a number of examples of bulk gravitational theories have arisen whose boundary duals are not individual quantum field theories but ensembles thereof.  By considering some exactly solvable examples of ensemble holography,  I will address two questions:  When does an ensemble of CFTs have a bulk dual?  When is a topological field theory, summed over a given set of topologies, dual to an ensemble of boundary CFTs? The answers to both questions will turn out to be governed by codes.",
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    ,        {
        "id":"141936-21889653",
        "datetime_modified":"20260228T101758",
        "datetime_start":"20260327T160000",
        "datetime_end":"20260327T170000",
        "has_end_time":1,
        "date_start":"2026-03-27",
        "date_end":"2026-03-27",
        "time_start":"16:00:00",
        "time_end":"17:00:00",
        "time_zone":"America\/Detroit",
        "event_title":"Michigan Lectures in Algebraic Geometry and Topology: Stable homology of moduli spaces and moments in families of L-functions over function fields",
        "occurrence_title":"",
        "combined_title":"Michigan Lectures in Algebraic Geometry and Topology: Stable homology of moduli spaces and moments in families of L-functions over function fields: Dan Petersen (Stockholm U.)",
        "event_subtitle":"Dan Petersen (Stockholm U.)",
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        "event_type_id":"21",
        "description":"In recent years, several problems in arithmetic statistics that seem completely intractable over number fields, have been resolved in the case of function fields by geometric methods; more specifically, by casting the problem in terms of the homology of a suitable moduli space of algebraic curves, and understanding the homology asymptotically. Perhaps the most notable is the work of Ellenberg-Venkatesh-Westerland and Landesman-Levy on Cohen-Lenstra heuristics. \n\nI will talk about joint work with Bergstr\u00f6m-Diaconu-Westerland and Miller-Patzt-Randal-Williams, where this paradigm is applied to another problem in analytic number theory. There is a \"recipe\" due to Conrey-Farmer-Keating-Rubinstein-Snaith (CFKRS) which allows for precise predictions for the asymptotics of moments of many different families of L-functions. We consider the family of all L-functions attached to hyperelliptic curves over some fixed finite field, in which case we are able to prove the CFKRS predictions for all moments, for all sufficiently large (but fixed) q.\nWe do this by studying the homology of the moduli space of hyperelliptic curves, with symplectic coefficients: we compute the stable homology groups, together with their structure as Galois representations, and prove a novel homological stability theorem in this setting. The proofs use homotopical ideas developed in connection with the Mumford conjecture, Borel's work on stable real cohomology of arithmetic groups, logarithmic algebraic geometry, and cellular E_k-algebras.",
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        "id":"143369-21892960",
        "datetime_modified":"20260107T120250",
        "datetime_start":"20260330T110000",
        "datetime_end":"20260330T120000",
        "has_end_time":1,
        "date_start":"2026-03-30",
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        "event_title":"Human Genetics Research Seminar Series",
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        "combined_title":"Human Genetics Research Seminar Series: presenting Jean Gautier, PhD, Dr.Sc., Chair, Department of Epigenetics and Molecular Carcinogenesis The University of Texas MD Anderson Cancer Center at Houston",
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        "event_title":"Barriers to Benefits: Unemployment Insurance Take-Up and Labor Market Effects (with Casey McQuillan)",
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        "description":"Unemployment insurance (UI) take-up is relatively low in the United States. We implement a large-scale field experiment among 50,000 likely unemployed individuals to study the causes and labor supply implications of incomplete UI take-up. Informational letters increased applications and receipt, with effects concentrated among low-wage workers. Rejection rates among treated applicants also increased: this suggests that the letters primarily reduced learning costs rather than improved eligibility beliefs. Randomized messages aimed at reducing free-rider stigma induced more applications, primarily among high-wage job seekers. Although prior work finds that more generous UI slows job finding, our take-up intervention modestly increased reemployment, as work-search requirements hastened job finding among recipients but also screened out applicants who were unwilling or unable to verify their search. We develop and estimate a structural job search model calibrated to the reduced form-experimental results to quantify these frictions and show that lower search-compliance costs yield the largest welfare gains for unemployed workers.",
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        "datetime_end":"20260330T170000",
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        "event_title":"Mathematical models of soliton gas",
        "occurrence_title":"",
        "combined_title":"Mathematical models of soliton gas: Robert Jenkins (University of Central Florida)",
        "event_subtitle":"Robert Jenkins (University of Central Florida)",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"In this talk I will describe the idea of a soliton gas, which seeks to describe large-amplitude coherent structures as a dense ensemble of interacting solitons. We will discuss the original motivation of Zakharov; some more recent results extending his ideas to more robust settings; finally, we will discuss our recent attempts to give the theory a more rigorous mathematical foundation and to connect the two main approaches to modeling soliton gas.",
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        "id":"143299-21892655",
        "datetime_modified":"20260325T005514",
        "datetime_start":"20260331T113000",
        "datetime_end":"20260331T125000",
        "has_end_time":1,
        "date_start":"2026-03-31",
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        "event_title":"Innovation Races: Strategic Complementarities and Global Competition Spillovers",
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        "combined_title":"Innovation Races: Strategic Complementarities and Global Competition Spillovers: Ester Faia, Harvard University",
        "event_subtitle":"Ester Faia, Harvard University",
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        "description":"The Innovation Race: Experimental Evidence on Advanced Technologies\nWe present a large-scale field experiment test of strategic complementarities in firms\u2019 technology adoption. Our experiment was embedded in a Bank of Italy survey covering around 3,000 firms. We elicited firms\u2019 beliefs about competitors\u2019 adoption of two advanced technologies: Artificial Intelligence (AI) and robotics. We randomly provided half of the sample with accurate information about adoption rates. Most firms substantially underestimated competitors\u2019 current adoption, and when provided with information, they updated their expectations about competitors\u2019 future adoption. The information increased firms\u2019 own intended future adoption of robotics: a 1 pp increase in the share of competitors expected to adopt advanced technologies causes an increase of 0.704 pp in the firm\u2019s own robotics adoption. We do not observe a significant effect on AI adoption, but we cannot rule out modest effects either. Our findings provide causal evidence on coordination in innovation and illustrate how information frictions shape technology diffusion.\n\nWe present a large-scale field experiment on the geography of strategic complementarities in firms\u2019 AI investment. Our experiment was embedded in the ECB\u2019s Survey on the Access to Finance of Enterprises (SAFE), covering around 3,300 firms across twelve European countries. We elicited firms\u2019 beliefs about the share of domestic and foreign competitors investing in AI, and randomly provided half of the sample with accurate information about both groups. Firms substantially underestimated competitors\u2019 current AI investment, especially for foreign competitors, and updated both domestic and foreign beliefs in response to the information treatment. The information also increased firms\u2019 own expected AI investment rate. Using a 2SLS framework, we find that a 1 pp increase in the expected share of domestic competitors investing in AI raises the firm\u2019s own expected AI investment rate by 0.567 pp, while the corresponding effect of foreign competitors is close to zero and statistically insignificant. Our findings provide causal evidence that information frictions shape the diffusion of innovation and that strate- gic complementarities in AI investment are much stronger at the domestic than at the foreign level.",
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        "event_title":"A Dynamic Evaluation of Parental Marriage and Children\u2019s Skill Development",
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        "combined_title":"A Dynamic Evaluation of Parental Marriage and Children\u2019s Skill Development: Emilio Borghesan, University of Michigan",
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        "event_title":"IES Energy Seminar Series - Global copper demand outstrips supply, threatening electrification and industrial growth",
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        "combined_title":"IES Energy Seminar Series - Global copper demand outstrips supply, threatening electrification and industrial growth: Adam Simon, Earth & Environmental Sciences",
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        "description":"Abstract:\nCopper is arguably the most important metal for economic development and energy scenarios because it is essential for manufacture and deployment of low-carbon electricity generation, transmission and storage, and vehicle electrification. Copper is also essential for modern economies because it is required for expansion of infrastructure such as wiring for electricity distribution and telecommunications, air conditioning and space heating, plumbing, industrial equipment, rail and public transportation systems, and vehicles. Consider that the built environment of the European Union, United Kingdom, United States and other high-income countries contains 150-200 kg\/capita, whereas there is less than 10 kg\/capita in low-income countries across Africa and India. Hence, global economic development will require an enormous amount of copper. Our challenge is that this copper demand is significantly greater than projected copper supply. Copper production from existing mines will decrease over the next few decades because due to announced mine closures and decreasing ore grades, and the discovery of new copper occurrences that can be mined continues to decline. The dearth of discovery of new copper occurrences indicates that available exploration methods are no longer successful. In this presentation I will discuss novel hydrogeochemical methods that use the metal isotopic composition of ground and surface water as a probe for the presence of copper sulfide minerals beneath cover. The technique was developed by collaborating with mining companies around the world. The non-invasive technique can identify and distinguish among chalcopyrite, chalcocite and bornite and whether chalcocite is hypogene or supergene. The technique can be used for brownfield expansion projects and greenfield exploration. The hydrogeochemical technique can also be used to monitor mineralogy during heap leaching operations, allowing operators to tailor lixiviant chemistry to increase production rates and total recovery. The technique can also be used to quantitatively determine the source(s) of metals in the environment.\n\nBiography:\nAdam C. Simon is an Arthur F. Thurnau Professor of Mineral Resources at the University of Michigan, and a co-founder of VectOres Science, Inc., a consulting company that uses patented technology for mineral exploration and processing. His research focuses on mineral exploration, ore deposit genesis, the integration of geological and geochemical data to understand ore formation, and the use of metal isotopes to monitor mineralogy in heap leaching operations and tracing environmental metal sources. He has worked on a range of mineral deposits: porphyry, epithermal, Carlin-type, iron oxide-copper-gold, iron oxide-apatite, layered mafic intrusions, and magmatic sulfide. Adam has led research programs on all seven continents. He co-authored the books Mineral Resources, Economics and the Environment, and Earth Materials: Components of a Diverse Planet. He has published 125 scientific articles and has received awards for his transformative approaches to education and. He was the global 2024 Society of Economic Geologists Distinguished Lecturer and regularly gives presentations to general and expert audiences on all aspects of energy and mineral resources.",
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        "event_title":"Statistics Department Seminar Series: Rajarshi Mukherjee, Associate Professor, Department of Biostatistics, Harvard University",
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        "combined_title":"Statistics Department Seminar Series: Rajarshi Mukherjee, Associate Professor, Department of Biostatistics, Harvard University: \"Inference for ATE & GLM's when p\/n\u2192\u03b4\u2208(0,\u221e)\"",
        "event_subtitle":"\"Inference for ATE & GLM's when p\/n\u2192\u03b4\u2208(0,\u221e)\"",
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        "description":"Abstract: In this talk we will discuss statistical inference of average treatment effect in measured confounder settings as well as parallel questions of inferring linear and quadratic functionals in generalized linear models under high dimensional proportional asymptotic settings i.e. when pn\u2192\u03b4\u2208(0,\u221e) where p,n denote the dimension of the covariates and the sample size respectively . The results rely on the knowledge of the variance covariance matrix  of the covariates under study and we show that whereas n-consistent asymptotically normal inference is possible for any  by using method of moments type estimators that do not rely on estimating high dimensional nuisance parameters followed by a debiasing strategy. Without the knowledge of  we first develop n-consistent estimators by using simple estimators of   when <1. Subsequently for \u22651 we develop consistent estimators of the quantities of interest and argue that  n-consistent estimation might not be possible without further assumptions on . Finally we verify our results in numerical simulations. This talk is based on joint work with Xingyu Chen and Lin Liu from Shanghai Jiao Tong University.",
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        "event_title":"HET Seminar | Universal Formulae for a Large Class of Correlators",
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        "event_title":"Human Genetics Research Seminar Series",
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        "combined_title":"Human Genetics Research Seminar Series: presenting Stephan Z\u00fcchner, MD, PhD, Professor of Human Genetics and Neurology The Dr. John T. Macdonald Foundation Department of Human Genetics University of Miami Miller School of Medicine",
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        "datetime_modified":"20260402T224301",
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        "event_title":"Some recent progress on the intermediate long wave equation",
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        "combined_title":"Some recent progress on the intermediate long wave equation: Benjamin Harrop-Griffiths (Georgetown University)",
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        "description":"The intermediate long wave equation (ILW) is a model for internal waves in a stratified fluid. The ILW is not just a completely integrable PDE - it also provides a bridge between two other integrable PDEs: the Korteweg-de Vries and Benjamin-Ono equations. In this talk, I will present some recent results on the ILW. In particular, I will discuss a priori estimates in Sobolev spaces and the regularity gain of the solution map in the shallow water limit. This is joint work with Rowan Killip and Monica Vi\u0219an and with Andreia Chapouto, Guopeng Li, and Tadahiro Oh.",
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        "datetime_modified":"20260324T115211",
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        "event_title":"Great Lakes Seminar Series: Amanda Ackiss",
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        "combined_title":"Great Lakes Seminar Series: Amanda Ackiss: Harnessing genomics to characterize diversity in Great Lakes ciscoes across space and time",
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        "description":"About the presentation: \nAt the end of the Pleistocene, many salmonid fishes in the subfamily Coregoninae rapidly diversified in newly available freshwater habitats across the northern hemisphere. In terms of evolutionary time, these species flocks are incredibly young, and many instances of diversification appear to have occurred in sympatry rather than allopatry, leading to incomplete lineage sorting. The difficulty disentangling species relationships in this subfamily has been termed the \u2018coregonine problem\u2019 and has severely limited the ability of scientists and managers to draw robust conclusions regarding best practices for their conservation and restoration. This is particularly vital in the Laurentian Great Lakes, where overfishing, habitat degradation, and the introduction of invasive species in the 20th century led to precipitous declines in the largest documented radiation of coregonines in North America, the Coregonus artedi species complex. Many of these impacts have been mitigated in recent decades, and interest in restoring lost populations of these important prey fishes is growing, calling for a better understanding of relationships between members of this species complex. In this talk, I will discuss how we are leveraging new genomic tools to elucidate historic and contemporary differentiation and to explore the mechanisms of divergence in the Great Lakes C. artedi species complex in support of on-going conservation and restoration efforts.\n\nAbout the speaker:\nAmanda Ackiss is a Fish Biologist at the US Geological Survey\u2019s Great Lakes Science Center in Ann Arbor, MI. She earned her B.A. in Media Studies at the University of Virginia before pivoting back to the field of science and earning her Ph.D. in Ecological Sciences at Old Dominion University. During her Ph.D. she gained expertise in molecular ecology, genomics, and bioinformatics studying the diversity of fishes in the Coral Triangle region of southeast Asia before accepting a postdoctoral research position at the University of Wisconsin Stevens Point that introduced her to the cisco species complex of the Great Lakes. Amanda\u2019s lab at the USGS Great Lakes Science Center now focuses on applied genomics at the interface of speciation and spatial ecology to support bi-national coregonine conservation and restoration efforts.",
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        "event_title":"Resource Allocation, Technology Adoption, and Productivity: A Quantitative Analysis with Panel Farm-Level Data (with Duc Nguyen)",
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        "description":"We examine how resource allocation across production units shapes technology adoption and productivity growth, combining a unique panel dataset of the universe of Canadian farms spanning 1986 to 2006 with a quantitative model of heterogeneous producers. The period features the advent and rapid di!usion of a major new seeding technique, zero tillage, whose use expanded from zero percent of cultivated land in 1986 to 60 percent by 2006. We document substantial technology adoption, land consolidation, and productivity growth, facilitated by an economic environment characterized by relatively high allocative e\u201dciency, whereby more productive farms operate at a larger scale. Empirically, we find that adopting zero-tillage raises farm-level productivity substantially. Through quantitative analysis, we estimate that zero-tillage adoption accounts for roughly 30 percent of the near doubling of agricultural productivity over the period and 45\u201370 percent of the observed structural transformation. We show that high allocative e\u201dciency was crucial for the widespread adoption of technology, which would have nearly disappeared with correlated distortions commonly documented in developing countries. We also show that technological progress can be a powerful driver of catch-up growth in developing economies with low correlated distortions.",
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        "event_title":"From Rooftop to Mercado: How CHASS Cultivates Food Access in a Healthcare Setting w\/Dr. Richard Bryce",
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        "event_title":"Understanding Criminal Record Penalties in the Labor Market",
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        "combined_title":"Understanding Criminal Record Penalties in the Labor Market: Evan Rose, University of Chicago",
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        "description":"This paper studies the earnings and employment penalties associated with criminal records using linked data on criminal justice interactions, state laws on formal labor market restrictions, and wages and employment. We estimate fixed effects models that decompose earnings into a worker's portable earnings potential and firm pay premia, both of which are allowed to shift after a worker acquires a record. We find that sorting into lower-paying firms explains a small share of the record penalty. Legal record restrictions are not concentrated in higher-paying jobs, meaning that sorting away from them contributes little to the earnings gap. Conditional on earnings potential, however, workers with a record are substantially less likely to be employed. The results suggest that criminal record penalties operate primarily by reducing employment and lowering earnings potential at every firm rather than increasing sorting into lower-paying jobs, although the bulk of the gaps can be attributed to differences that existed prior to acquiring a record.",
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        "event_title":"MIPSE Seminar | Magnetic Reconnection: What do We Know Now, and What Remains Unsolved",
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        "event_title":"Sexual Assault Awareness Month Lecture",
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        "event_title":"The Drafted Nation: Economic and Political Legacies of Conscription (with Siddharth George and Kewei Zhang)",
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        "combined_title":"The Drafted Nation: Economic and Political Legacies of Conscription (with Siddharth George and Kewei Zhang): Sam Bazzi, University of California, San Diego",
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        "combined_title":"Biomedical Engineering (BME 500) Seminar Series: \"Bioengineering Human Embryo and Organ Models,\" with Jianping Fu, Ph.D.",
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        "datetime_modified":"20260325T095154",
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        "time_zone":"America\/Detroit",
        "event_title":"IES Energy Seminar Series - Quantifying and Remunerating Flexibility of Grid-Connected Devices",
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        "combined_title":"IES Energy Seminar Series - Quantifying and Remunerating Flexibility of Grid-Connected Devices: Victor Zavala, University of Wisconsin Madison",
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        "datetime_modified":"20260327T172027",
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        "event_title":"Why so many \u201cslow\u201d species? Rethinking trade-offs in tropical forests",
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        "description":"Seminar Summary - In this talk, I examine how functional constraints shape ecological strategies and ultimately the diversity of tropical forests. I show that the classic trade-off frameworks that organize much of ecological thinking are more flexible than often assumed: constraints can vary across scales, traits can provide redundant solutions to the same functional challenge, and key functional axes can become decoupled. Together, these patterns suggest that biodiversity may emerge from the interaction of multiple, partially independent dimensions of organismal function.",
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        "event_title":"Caswell Diabetes Institute Community Seminar Series",
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        "combined_title":"Caswell Diabetes Institute Community Seminar Series: Eat Well, Live Well - Exploring Nutrition for Whole Body Health",
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        "description":"What to Eat for Good Sleep\nDid you know that what you eat throughout the day could influence how you sleep at night? Come to learn about how diet- not only what we eat but when we eat- could affect our ability to fall asleep and to wake up refreshed.\n\nErica C. Jansen, PhD, MPH\nAssistant Professor of Nutritional Sciences, \nUniversity of Michigan School of Public Health\n\nResearch Assistant Professor of Neurology,\nUniversity of Michigan Medical School",
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        "combined_title":"Statistics Department Seminar Series: Stefan Wager, Associate Professor, Department of Operations, Information, and Technology, Department of Statistics (by courtesy), Stanford University: Estimating Dynamic Marginal Policy Effects under Sequential Unconfoundedness",
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        "event_title":"Human Genetics Research Seminar Series",
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        "combined_title":"Human Genetics Research Seminar Series: presenting Jacy Wagnon, PhD, Assistant Professor Department of Neuroscience The Ohio State University College of Medicine",
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        "event_title":"CPOD Winter\/Spring 2026 Seminar Series: \"How life finds a way: resilience in mammalian embryogenesis\"",
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        "event_title":"Same Crime, Different Time: Disparities in Judicial Outcomes for DWI Offenders",
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        "combined_title":"Same Crime, Different Time: Disparities in Judicial Outcomes for DWI Offenders: Emily Leslie, Brigham Young University",
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        "event_title":"Great Lakes Seminar Series: Jenan Kharbush",
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        "combined_title":"Great Lakes Seminar Series: Jenan Kharbush: Exploring the role of nitrogen substrate availability in the ecology of Microcystis-dominated CyanoHABs",
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        "event_title":"Digital Financial Services and Women\u2019s Empowerment: Experimental Evidence from Tanzania, joint with Rachel Heath",
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        "combined_title":"Digital Financial Services and Women\u2019s Empowerment: Experimental Evidence from Tanzania, joint with Rachel Heath: Emma Riley, University of Michigan",
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        "description":"Can increasing women's use of digital financial services raise their empowerment? We test this hypothesis using a randomized control trial with 152 female microfinance groups in Tanzania, where treated groups were randomly switched from cash to mobile money loan repayment. This exogenous increase in women's use of mobile money leads women to expand their use for other types of transactions, including business payments and saving. Women's control over their finances increases and they are more empowered within the household. Over time, women's businesses become more profitable. These findings highlight the benefits of shifting payments to digital for women.",
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        "event_title":"Biomedical Engineering (BME 500) Seminar Series",
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        "combined_title":"Biomedical Engineering (BME 500) Seminar Series: \"Tissue-Inspired Synthetic Biomaterials and Applications in Cancer,\" with Shelly R. Peyton, Ph.D.",
        "event_subtitle":"\"Tissue-Inspired Synthetic Biomaterials and Applications in Cancer,\" with Shelly R. Peyton, Ph.D.",
        "event_type":"Workshop \/ Seminar",
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        "description":"Tissue-Inspired Synthetic Biomaterials and Applications in Cancer\nAbstract:\nMost environments available to study how human cells behave are two-dimensional (2D). In real tissue, cells live surrounded by a three-dimensional (3D) extracellular matrix (ECM), which provides structure, drives cell function, and is dynamically remodeled by the cells within. A major limitation of the few examples of 3D cell culture environments that do exist (typically made from assemblages of proteins) is that their constituents are undefined, and they have unacceptable batch-to-batch variability. On the other end of the spectrum, the major drawbacks to using engineered, synthetic environments is their over-simplicity and lack of resemblance to real tissue. My lab\u2019s unique approach to biomaterial design is that we create cheap and easy-to-use, yet complex representations of the ECM of specific tissues. My lab\u2019s tissue-customized environments are hydrogels from synthetic polymers that replicate a tissue\u2019s 3D geometry, the stiffness of that tissue, and all the integrin-binding and protease-degradable components of the ECM of the tissue of interest. We made biomaterial designs for brain, bone marrow, omentum, and lung, and we have applied our approach to several complex problems in biology (e.g., astrocyte reactivity, mesenchymal stem cell differentiation, ovarian cancer, etc.). \n\nIn this seminar, I\u2019ll discuss how we use our engineering principles to create these environments and show how we\u2019ve begun to use them to study grand challenges in cancer biology. One of the overwhelming challenges in treating metastatic cancer is that tumors in the brain, lung, skeleton, and liver are typically drug resistant, and we do not have a good understanding of why these tumors evade therapy. The biomaterials we have built over the years are well suited for drug screening applications and to study how the extracellular microenvironment regulates the metastatic spread of cancer. \nBio:\nShelly Peyton is Professor and Department Chair of Biomedical Engineering at Tufts University. She received her B.S. in Chemical Engineering from Northwestern University in 2002 and went on to obtain her MS and PhD in Chemical Engineering from the University of California, Irvine in 2007. She was then an NIH Kirschstein post-doctoral fellow in the Biological Engineering department at MIT before starting her academic appointment in Chemical Engineering at the University of Massachusetts Amherst in 2011. At UMass she was named the Barry and Afsaneh Siadat Professional Development Professor, Armstrong Professor, Conti Fellow, and Provost Professor before moving to Tufts University to become chair of Biomedical Engineering in 2024. At Tufts, the Peyton lab is an interdisciplinary group of engineers and biologists that create bioinspired and dynamic models of human tissue with both synthetic biomaterials and decellularized tissues. They use these tissue models to 1) understand the physical relationship between metastatic cancer cells and the tissues to which they spread, 2) uncover the role of the extracellular matrix and its dynamics in drug resistant cancers, and 3) quantify how forces from traumatic brain injury damage cells within the brain. Shelly\u2019s honors include a Pew Biomedical Scholarship, an NIH New Innovator Award, an NSF CAREER award, Biomedical Engineering Society fellow, and an American Institute for Medical and Biological Engineering fellow. Outside of her research and her Chair\u2019s role, Shelly is passionate about graduate student training and diversifying the academy. She was awarded an Outstanding Teaching Award and a Diversity Award from the College of Engineering at UMass, has led an REU Site, co-directed a Biotechnology (BTP) NIH T32 training program, and was lead PI of a PREP program at UMass. Since 2013, the Peyton has continuously run an NSF- and privately funded program called Engineering the Cell, which pays high school students with no prior research experience to work in the Peyton lab for 5 weeks every summer. Outside of her work, Shelly is an avid cyclist, enjoys board games, lego, travel, and coaches ultimate frisbee.",
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        "datetime_modified":"20260331T141558",
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        "event_title":"IES Energy Seminar Series -  From Market Signals to Maintenance Decisions: Electricity Price Forecasting and Market-Aware Maintenance for Energy Assets",
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        "combined_title":"IES Energy Seminar Series -  From Market Signals to Maintenance Decisions: Electricity Price Forecasting and Market-Aware Maintenance for Energy Assets: Ahmed Azziz Ezzat, Rutgers University",
        "event_subtitle":"Ahmed Azziz Ezzat, Rutgers University",
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        "description":"Abstract:\nOperational decision-making in modern power systems is increasingly shaped by uncertain market signals, such as electricity prices and curtailment levels. In this talk, I will present our research group\u2019s recent efforts to develop data- driven methods for forecasting these signals, and further leveraging them to inform asset-level decision-making. First, I will present a multivariate statistical approach for electricity price forecasting designed to capture system, market, and temporal dependencies that are prevalent in electricity price signals. The proposed approach is evaluated on two years of electricity prices from the California Independent System Operator, showing significant improvements in both point and probabilistic forecast metrics relative to well-established statistical and emerging deep learning methods. Independent validation against industry-adopted forecasting systems further demonstrates the approach\u2019s competitive performance and practical relevance. I then turn to how variability in market signals (naturally viewed as a challenge for asset management) can, counter-intuitively, be turned into an opportunity for improved decision-making. In particular, I will present a grid- informed maintenance optimization framework for wind energy assets that incorporates grid- level information, such as electricity prices and curtailment, to support condition-based maintenance decisions. Together, these results highlight how market signals can be accurately predicted, and further leveraged to inform asset management, bridging forecasting and optimization in modern power systems.\n\nBiography:\nAziz Ezzat is an Assistant Professor of Industrial & Systems Engineering at Rutgers University, where he leads the Renewables & Industrial Analytics (RIA) Research Group. He received his PhD degree in Texas A&M University, and his BSc. Degree from Alexandria, Egypt, both in Industrial & Systems Engineering. Aziz\u2019s research develops data science, AI, and machine learning methods for energy, environmental, and industrial systems, with support from the National Science Foundation, U.S. Department of Energy, the state of New Jersey, and industry partners. His work has appeared in leading journals such as Technometrics, Annals of Applied Statistics, IISE Transactions, and IEEE Transactions on Sustainable Energy. Aziz is a recipient of the A. Walter Tyson Early Career Award, the IIF-SAS \u00ae Research Methodology Award, and the Excellence in Teaching Awards from the Operations Research and Data Analytics Divisions of the Institute of Industrial & Systems Engineers (IISE). He served as the 2023-2024 President of the Energy Systems Division of IISE, where he introduced numerous initiatives to advance the broader impacts of data and decision sciences, including the inaugural PG&E Energy Analytics Challenge\u2014an industry-sponsored, national-scale energy forecasting competition. He is a professional member of INFORMS, IISE, IEEE, and IIF. More about his research and teaching can be found at: https:\/\/sites.rutgers.edu\/azizezzat\/.",
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        "event_title":"EEB Thursday Seminar Series - Forest responses to disturbances associated with climate change",
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        "combined_title":"EEB Thursday Seminar Series - Forest responses to disturbances associated with climate change: Chris Smith-Martin, University of Minnesota",
        "event_subtitle":"Chris Smith-Martin, University of Minnesota",
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        "description":"Seminar Summary - Disturbances such as drought and wind are increasing in frequency and severity as the climate changes, impacting forests across the globe. In my seminar, I will discuss the implications of climate change for forest disturbances, with particular emphasis on drought and hurricanes in tropical forests. Lianas, or woody vines, are increasing in abundance and size across the Neotropics, likely driven by greater seasonality resulting from shifts in rainfall patterns. Tropical trees exhibit substantial interspecific and intraspecific variation in drought resistance, which may favor some species over others during drought events and ultimately change forest composition. The compound effects of hurricanes and drought, along with changes in these disturbance regimes, are altering forest composition and could lead to an overall decline in forest carbon storage. I will present her research on these topics, drawing on case studies from Costa Rica, Panama, and Puerto Rico, and highlighting drought impacts at the functional group level (lianas versus trees), variation in drought resistance among tropical trees, and the compound effects of hurricanes followed by drought on tropical forests using a large-scale throughfall exclusion experiment.",
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        "event_title":"2026 CCAT Global Symposium on Mobility Innovation presented by Mcity and UMTRI",
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        "event_title":"HET Seminar | Abelian Instantons in Quantum Field Theory and Gravity",
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        "datetime_modified":"20260107T120429",
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        "event_title":"Human Genetics Research Seminar Series",
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        "combined_title":"Human Genetics Research Seminar Series: presenting Aaron Ragsdale, PhD Assistant Professor Integrative Biology University of Wisconsin-Madison",
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        "combined_title":"TBD: Robert  Buckingham (University of Cincinnati)",
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        "event_title":"Caswell Diabetes Institute Community Seminar Series",
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        "event_title":"James V. Neel, MD, PhD Lecture in Human Genetics & Award",
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        "event_title":"Rare Failures, Public Perception, and Automated Driving: Why Exceptional Events Shape Trust in Emerging Safety Technologies",
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        "combined_title":"Human Genetics Research Seminar Series: presenting Yang Shi, PhD Professor of Epigenetics Ludwig Institute for Cancer Research, Oxford University, Oxford, England",
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        "combined_title":"Human Genetics Research Seminar Series: presenting Ira Hall, PhD, Professor of Genetics Director of the Yale Center for Genomic Health Yale School of Medicine",
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        "description":"Monday, September 21, 2026\r\n11:00am - 12:00pm\r\nLocation TBD\r\n\r\nIra Hall, PhD\r\nProfessor of Genetics\r\nDirector of the Yale Center for Genomic Health\r\nYale School of Medicine\r\n\u201cSeminar Title TBD\u201d\r\n\r\nHosted By: Ryan Mills, PhD, Department of Human Genetics\r\n___\r\nDr. Hall's research career spans the fields of genetics, genomics, bioinformatics and data science. He received a B.A. in Integrative Biology from the University of California at Berkeley (1998), and worked as a technician for 2 years in Sarah Hake's plant genetics group at the USDA\/ARS Plant Gene Expression Center. He received his Ph.D. in genetics from Cold Spring Harbor Laboratory (2003), where his work in Shiv Grewal's laboratory established the first direct link between RNA interference and chromatin-based epigenetic inheritance. As a postdoc with Michael Wigler (2004) and independent Cold Spring Harbor Laboratory Fellow (2004-2007), Dr. Hall used microarray technologies and mouse strain genealogies to conduct the first systematic study of DNA copy number variation hotspots. As a faculty member at the University of Virginia (2007-2014), Washington University (2014-2020) and Yale (2020-present), his work has sought to understand the causes and consequences of genome variation in mammals, with an increasing focus on computational methods development and human genetics. His group has developed bioinformatics tools for variant detection, variant interpretation, sequence alignment, data processing, and data integration. He has led genome-wide studies of human genome variation, heritable gene expression variation, human genetic disorders, tumor evolution, mouse strain variation, genome stability in reprogrammed stem cells, and single-neuron somatic mosaicism in the human brain. Dr. Hall's work has been featured in Science Magazine's Breakthrough of the Year (2003 & 2007), the NIMH Director's \"Ten Best of 2013\" and The Scientist (2013), and he has received several prestigious awards including the AAAS Newcomb Cleveland Prize (2003), the Burroughs Wellcome Fund Career Award (2006), the NIH Director's New Innovator Award (2009), and the March of Dimes Basil O'Connor Research Award (2010). He has also served as an Associate Editor at Genome Research (2009-2014) and Genes, Genomes and Genetics (2011-2018).\r\n\r\nMost recently, Dr. Hall has played a leadership role in several large collaborative projects funded by NIH\/NHGRI including the Centers for Common Disease Genomics, the AnVIL cloud-based data repository and analysis platform, and the Human Pangenome Project. His current work is focused on two broad goals: (1) mapping variants and genes that confer risk to human disease, with ongoing projects focused on coronary artery disease and cardiometabolic traits in unique and underrepresented populations, and (2) developing methods for the detection and interpretation of human genome variation, with an emphasis on structural variation and other difficult-to-detect forms, and on comprehensive trait association in human disease studies.",
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