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        "event_title":"Statistics Department Seminar Series: Stefan Wager, Associate Professor, Department of Operations, Information, and Technology, Department of Statistics (by courtesy), Stanford University",
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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",
        "event_subtitle":"Estimating Dynamic Marginal Policy Effects under Sequential Unconfoundedness",
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        "description":"We develop methods for estimating how infinitesimal policy changes affect long-term outcomes in dynamic systems. We show that dynamic marginal policy effects (MPEs) can be identified via tractable reduced-form expressions, and can be estimated under a general sequential unconfoundedness assumption. We also propose a doubly robust estimator for dynamic MPEs. Our approach does not require observing full dynamic state information (as is typically assumed for off-policy evaluation in Markov decision processes), and does not incur an exponential curse of horizon (as is typical in non-Markovian off-policy evaluation). We demonstrate practicality and robustness of our approach in a number of simulations, including one motivated by a dynamic pricing application where people use past prices to form a reference level for current prices. Joint work with I-han Lai.",
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        "event_title":"MCDB Seminar> Understanding Barrier and Sensory Functions of the Skin",
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        "datetime_start":"20260410T133000",
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        "event_title":"Challenging the Gender Equality Paradox: Evidence from 50 States,  17 Years, and 21 Million Individuals",
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        "combined_title":"Challenging the Gender Equality Paradox: Evidence from 50 States,  17 Years, and 21 Million Individuals: Rong Su, University of Iowa",
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        "description":"How does societal gender equality influence gender gaps at the individual level? Contradictory theoretical  perspectives exist on this seemingly intuitive question. While social role theory and the theory of  circumscription and compromise suggest that greater parity in society leads to smaller psychological  differences between genders, gender-essentialist perspectives suggest the opposite. Over the last decade, a  stream of cross-cultural studies supported the latter with paradoxical findings that greater societal gender  equality is associated with larger, not smaller, gender differences in preferences, attitudes, and behavioral  patterns at the individual level. In this talk, I discuss key limitations in previous studies and challenge the  so-called \u201cgender equality paradox\u201d by presenting findings from multilevel modeling with data on the  career interests of 21 million U.S. individuals across 50 states over a 17-year time span. I demonstrate  divergence in the cross-level effects at the within- and between-state levels, with different gender equality  indicators, and across various interest dimensions. This work helps reconcile conflicting theories and  empirical findings and offer new and more nuanced insights into policies and interventions aiming at closing gender gaps.",
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        "event_title":"HET Seminar | Continuing past the inner horizon using WKB",
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        "combined_title":"HET Seminar | Continuing past the inner horizon using WKB: Ahmed Almheiri (NYU\/AIS)",
        "event_subtitle":"Ahmed Almheiri (NYU\/AIS)",
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        "description":"Features of the black hole interior can be extracted from the analytic structure of boundary correlation functions. Working in the geodesic approximation, we find analytic continuations that probe the interior of rotating and charged black holes. These generate contributions from timelike geodesics that thread the interior and emerge in a future universe. We implement these continuations on the momentum space two-point function and exemplify this in several black hole backgrounds. We also identify position space analytic continuations achieving the same task that incorporate different continued momentum space correlators. These correspond to non-perturbative corrections to the WKB approximation. We demonstrate this explicitly in the rotating BTZ black hole by showing that the interior geodesics contribute to the continued position space correlator and motivate a picture for how these contributions arise in higher dimensions. For AdS Schwarzschild, we identify the analytically continued solution that captures the bouncing geodesic. We discuss the possibility of using these continuations to probe the instability of inner horizons from the boundary.",
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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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        "description":"\"Sweet to Sick: Brainstem Taste Circuits in Health and Illness\"\n\nPresented by:\nHojoon Lee, PhD\nAssistant Professor,\nDepartment of Neurobiology\nNorthwestern University",
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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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        "description":"We examine disparities in judicial outcomes among people charged with Driving While Intoxicated (DWI), a setting in which legal guilt is objectively determined by breath alcohol content (BrAC). Focusing on first-time offenders with no aggravating circumstances and BrAC above the legal threshold, we find that race, gender, and financial resources strongly predict the likelihood of incarceration and case dismissal. Defendants with greater socioeconomic advantage are more likely to access rehabilitative alternatives and avoid criminal records. We discuss how these outcome differences may reflect not only disparities in options offered by the court, but also in defendants\u2019 choices among them.",
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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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        "description":"About the presentation: \u201cNitrogen availability\u201d refers to the amounts of biologically usable nitrogen forms relative to demand by the biological community. In cyanobacterial harmful algal blooms (CyanoHABs) dominated by the non-diazotrophic cyanobacteria Microcystis aeruginosa, nitrogen availability is critical for the production of the nitrogen-rich toxin microcystin, and may also play a role in shaping M. aeruginosa strain composition and relative abundance of toxic and non-toxic strains. During the annual CyanoHAB in Western Lake Erie, both the dominant form of nitrogen (organic vs. inorganic) and M. aeruginosa strain composition shift as the bloom progresses, as does the heterotrophic bacterial community composition in M. aeruginosa colonies. Recent metagenomics and culture-based work suggests that some of these heterotrophs may be involved in nitrogen acquisition and cycling processes with Microcystis. In this talk I will discuss some of our recent efforts to understand the influence of nitrogen form on Microcystis bloom ecology, via both strain-specific adaptations and interactions with other community members such as heterotrophic bacteria. This includes examining how nitrogen form influences exometabolite production in cultured M. aeruginosa strains, as well as using nano-secondary ion mass spectrometry (nanoSIMS) to measure how cell-specific nitrogen uptake in field communities changes with bloom phase. \r\n\r\nAbout the speaker: Jenan is an Assistant Professor in the Earth and Environmental Sciences Department at the University of Michigan. She earned her PhD in Chemical Oceanography from the Scripps Institution of Oceanography, where she developed an appreciation for the complexity of microbial life and the outsized influence microbes have on their environment. At U-M, her research group studies how aquatic microorganisms, particularly phytoplankton, acquire and use nitrogen, including during CyanoHABs. They combine laboratory culture experiments with field-based environmental observations to link cellular-level nitrogen cycling processes to large-scale geochemical patterns in both modern and ancient environments.",
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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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        "datetime_modified":"20260408T101448",
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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":"Going for Broker? Intermediation in Health Insurance Markets",
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        "combined_title":"Going for Broker? Intermediation in Health Insurance Markets: Anran Li, University of Minnesota",
        "event_subtitle":"Anran Li, University of Minnesota",
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        "description":"This paper studies how insurance brokers affect product choices, premiums, and welfare in the employer-sponsored insurance market. We compile a novel database of contracting relationships among employers, brokers, and insurers in New York State. Exploiting variations in commission schedules, we document two market distortions: First, brokers exhibit traditional agency frictions, steering employers towards more financially lucrative products. Second, commission levels affect ex-ante insurer-broker networks and, in turn, insurers' competitive pressure, leading to anti-competitive distortions. We develop and estimate a structural model of employer insurance demand, insurer pricing, and formation of broker-insurer contracting networks. We use the model to study a commission-cap counterfactual. A one-percentage-point cap reduces broker-induced steering and raises employer surplus by 3\\%, but the resulting reduction in insurer competition lowers surplus by over 6\\%, yielding a net decline of about 3\\%. We also explore the impacts of fiduciary duties and network regulations for insurance brokers.",
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        "datetime_modified":"20260403T100524",
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        "event_title":"Statistics Department Seminar Series: Yuting Wei, Associate Professor, Department of Statistics & Data Science, University of Pennsylvania",
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        "combined_title":"Statistics Department Seminar Series: Yuting Wei, Associate Professor, Department of Statistics & Data Science, University of Pennsylvania: Efficient Sampling with Diffusion Models: Sharp and Adaptive Guarantees",
        "event_subtitle":"Efficient Sampling with Diffusion Models: Sharp and Adaptive Guarantees",
        "event_type":"Workshop \/ Seminar",
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        "description":"The score-based diffusion models have become a cornerstone of modern generative AI. While recent works aim to develop sharp convergence guarantees, the iteration complexity of existing analyses typically scales with the ambient data dimension $d$ of the target distribution, leading to overly conservative theory that fails to explain its practical efficiency. This motivates us to understand how diffusion models can achieve sampling speed-ups through automatic exploitation of intrinsic low dimensionality of data for both continuous and discrete distributions.  \n\nThis talk explores two key scenarios: (1) For a broad class of continous distributions with intrinsic dimension $k$, we show that the iteration complexity of the denoising diffusion probabilistic model (DDPM) scales nearly linearly with $k$, which is optimal under the KL divergence metric; (2) For masking discrete diffusions, under a continuous-time Markov chain (CTMC) formulation, we introduce a modified $\\tau$-leaping sampler whose convergence rate is governed by an intrinsic information-theoretic quantity, termed the \\emph{effective total correlation}, which is upper bounded by $d \\log S$ (with $S$ the vocabulary size) but can be sublinear or even constant for structured discrete distributions.",
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        "event_title":"MCDB Seminar> Tales of algae: from fundamental discovery to application",
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        "description":"Although Chlamydomonas is the most well-known \u201cmodel\u201d organism, other green algae present interesting physiologies for investigation or offer experimental advantages for research. In addition to the Chlamydomonas genome, the group has assembled genomes for Dunaliella spp., Chromochloris zofingiensis and Auxenochlorella protothecoides. I will present work on the mechanism of translation of nucleus-encoded bicistronic mRNAs, structural analysis of photosystem I from Fe-deficient Dunaliella spp. and synthetic biology in Auxenochlorella to generate a complex bioproduct. These stories exemplify the contributions to basic and applied research of studies using simple unicellular organisms.\n\nHost: Libo Shan",
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        "datetime_modified":"20260119T102915",
        "datetime_start":"20260417T133000",
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        "event_title":"Two Steps Forward, One Step Back: How Progress Steadiness Affects Motivation",
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        "event_subtitle":"Gr\u00e1inne Fitzsimons, Duke University",
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        "description":"Rarely is the path to goal accomplishment perfectly smooth. Making progress on everyday goals is often unsteady, in that each unit of effort or time spent generates unequal results. In this research, we examine how progress steadiness affects motivation. Although unsteady goal progress is common in both work and personal pursuits, we suggest that goal pursuers find it discouraging. We hypothesize that even when goal progress is equal in amount and speed, unsteady (vs. steady) progress decreases people\u2019s sense of accomplishment and motivation to continue, and increases quitting. Across a variety of goal domains, findings from vignette experiments, recall studies, and real-time achievement tasks support these hypotheses. We also explore the mediating psychological variables and identify how manipulations targeting expectations about progress steadiness and encouraging a more abstract view of progress can reduce the negative effects of unsteady progress.",
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        "datetime_start":"20260417T143000",
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        "description":"We study a framework for robust mechanism design with multiple agents that accommodates various degrees of robustness with respect to agents' beliefs, and encompasses both the belief-free and Bayesian robustness criteria. For general \\emph{belief restrictions}, we characterize the set of incentive compatible direct transfer mechanisms in general environments with interdependent values. Based on a \\emph{first-order approach}, we obtain a design principle to attain incentive compatibility via `belief-based' terms. In environments that satisfy a property of \\emph{generalized independence}, our results imply a \\emph{robust} version of \\emph{revenue equivalence}. Extending the notion of correlated information, we introduce a notion of \\emph{comovement} between types and beliefs, defined based on a moment condition. Under comovement, we characterize the full set of `belief-based' terms. Based on this, we show that from Bayesian settings the following result extends to this fairly mild restriction on beliefs: any allocation rule can be implemented, even in environments without single-crossing or monotonicity. However, full rent extraction need not follow. Information rents typically remain, and they decrease monotonically as the robustness requirement is weakened.",
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        "event_title":"HET Seminar | Abelian Instantons in Quantum Field Theory and Gravity",
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        "event_title":"Development as Skills and Altruism",
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        "combined_title":"Development as Skills and Altruism: Rachid Laajaj, Universidad de Los Andes Calle",
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        "description":"This paper emphasizes the central role of skill and altruism in development, defined as an increase in social welfare. In the basic model, skills expand the set of feasible payoffs, while altruism guides the decision maker\u2019s choice. Greater skills need not increase social welfare, because such expansions combine a positive frontier effect with an ambiguous substitution effect, potentially toward actions that are privately attractive but socially harmful. This ambiguous effect of skills on development is referred to as the \u201clottery of the technology\u201d and disappears when altruism is high enough to ensure that new opportunities created by skills are used only when they raise social welfare. Extensions of the model show that 1) endogenous technological change makes altruism even more influential in the long run 2) the effect of stronger institutions is subject to a \u201clottery of alignment of interests\u201d between policymakers\u2019 private gains and social welfare, unless policymakers\u2019 altruism is high enough to ensure the good use of institutional power, making institutions a lever of altruism rather than a substitute and 3) allowing altruism to be group-specific shows that only universal altruism guarantees the effective use of skill improvements. This framework speaks to many contemporary and historical events and leads to the conclusion that ensuring long-term development requires both the selection of altruistic leaders and a population shift in the distribution of altruism.",
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        "combined_title":"Institute for Energy Solutions & Electric Vehicle Center: Understanding and Development of Sulfide-Based Solid-State Batteries: Zheng Chen, University of California San Diego",
        "event_subtitle":"Zheng Chen, University of California San Diego",
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        "description":"Abstract: There is a growing interest in low-cost and scalable manufacturing and recycling methods for lithium-ion batteries (LIBs). In this talk, I will discuss on our recent progress in innovating materials and processing technologies for more sustainable LIBs. I will first discuss our recent work on the next generation direct recycling methods, aiming to produce new electrode materials capable of matching the performance of native materials. By leveraging advanced characterizations, we study the microstructure and compositional evolution of battery materials during cycling, which are compared with the recycled materials. We demonstrate successful recycling of various battery materials to high performance active materials. Scaling up challenges will also be discussed.\n\nBio: Dr. Zheng Chen is a Professor in the Aiiso Yufeng Li Department of Chemical and Nano Engineering, and Program of Materials Science and Engineering at UC San Diego.  His research group has been mainly focusing on 1) design and synthesis of nanostructured and polymeric materials for energy storage and conversion, and 2) development of scalable materials manufacturing recycling methods. Dr. Chen has received the 2024 ECS Toyota Young Investigator Fellowship, 2023 ECS Battery Division Early Career Award, NASA\u2019s 2018 Early Career Faculty Award, the LG Chem Global Battery Innovation Contest (BIC) Award in 2018, and the 2018 ACF PRF New Investigator Award. He has been selected as a Scialog Fellow in Advanced Energy Storage by Research Corporation and as a participant of 2022 Germany-US and 2019 China- America Frontiers of Engineering Symposium (CAFOE), National Academy of Engineering.",
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        "combined_title":"SCSAP Special Research Seminar: \"Working toward cancer care in 2030 : AI+X for Precision Medicine 2.0, Population Health, Aging and Global Health Impact\", Joe Poh Sheng YEONG, IMCB (A*STAR) and Singapore General Hospital",
        "event_subtitle":"\"Working toward cancer care in 2030 : AI+X for Precision Medicine 2.0, Population Health, Aging and Global Health Impact\", Joe Poh Sheng YEONG, IMCB (A*STAR) and Singapore General Hospital",
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        "event_title":"Effectiveness of Inductive Vehicle Charging to Alleviate EV Range Anxiety",
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        "description":"This project evaluates the efficacy, optimal placement, and economic viability of inductive vehicle charging (IVC) technology. Using literature review, stakeholder engagement, and rigorous mathematical modeling, we developed a comprehensive framework to identify high impact use cases for this emerging technology. The findings suggest that IVC is not a universal solution, but a targeted tool within a rapidly evolving electrification landscape. It may serve as a bridging technology or a specialized solution for high utilization fleets, rather than a permanent requirement for all electric mobility.\n---\nAbout the speaker: Sina Bahrami is an Assistant Research Scientist in the Department of Civil and Environmental Engineering at the University of Michigan. He earned his Ph.D. in Civil Engineering from the University of Toronto in 2019. His research develops optimization and decision-support tools for emerging mobility systems in smart cities, with a focus on electric and automated vehicles. He has published 18 articles in leading transportation journals and his work has been featured in outlets such as Forbes and Popular Science.",
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        "combined_title":"Human Genetics Research Seminar Series: presenting Arneet Saltzman, PhD, Assistant Professor Department of Cell & Systems Biology University of Toronto",
        "event_subtitle":"presenting Arneet Saltzman, PhD, Assistant Professor Department of Cell & Systems Biology University of Toronto",
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