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        "event_title":"PPE Lecture Series: Rajiv Sethi (Barnard College, Columbia University)",
        "occurrence_title":"",
        "combined_title":"PPE Lecture Series: Rajiv Sethi (Barnard College, Columbia University)",
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        "event_type":"Lecture \/ Discussion",
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        "description":"Title:\n\"The Interpretation of Signals\"\n\nAbstract: \nWe live in a sea of signals. Words and phrases, emoticons and emojis,  pronouns in bios,  tattoos and piercings, skin color and eye shape, flags and insignia, diplomas and certificates, standardized test scores, and prices in markets \u2014 these are all carriers of information demanding attention and interpretation. We attach meanings to these messages, and they shape our actions in ways large and small. This lecture is motivated by the conviction that something useful can be said about economic and social life if one examines signals \u2014 despite their bewildering variety and complexity \u2014 from a unified perspective, with a focus on statistical inference and strategic incentives.\n\nRajiv Sethi is a Professor of Economics at Barnard College, Columbia University and an External Professor at the Santa Fe Institute. He is a 2025-26 fellow at the Center for Advanced Study in the Behavioral Sciences (CASBS) at Stanford University. Rajiv was a 2020-21 Joy Foundation Fellow at the Harvard Radcliffe Institute, and a 2008-09 Richard B. Fisher Member at the Institute for Advanced Study in Princeton. Professor Sethi has served on the editorial boards of several journals, including the American Economic Review, and is a founding associate editor of Collective Intelligence.\n\n His current research deals with information and beliefs.\n\nIn collaboration with Brendan O\u2019Flaherty, he has examined the manner in which stereotypes affect interactions among strangers, especially in relation to crime and the criminal justice system. These include interactions between victims and offenders, officers and suspects, prosecutors and witnesses, and judges and defendants. Their book, Shadows of Doubt: Stereotypes, Crime, and the Pursuit of Justice was published by Harvard University Press in 2019.\n\nWith Muhamet Yildiz, he has explored communication among individuals who consider each other to have valuable information, but also believe that others are biased to different degrees in the manner in which they process information. In deciding where to seek information, therefore, people face a trade-off between sources that are well-informed (in the sense of having precise information about the world) and those that are well-understood (in the sense of having transparent biases). In previous work they have examined public disagreement and private information flows, and in current work are exploring the implications of correlated biases within social groups.\n\nRajiv is a contributor to CORE (Curriculum Open-Access Resources for Economics), an initiative aimed at the production of high-quality resources for the teaching of economics, distributed free of charge worldwide under a Creative Commons license.",
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        "event_title":"Sequential Decision Making with Offline Data and under Partial Observability",
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        "combined_title":"Sequential Decision Making with Offline Data and under Partial Observability: Chinmaya Kausik",
        "event_subtitle":"Chinmaya Kausik",
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        "event_type_id":"16",
        "description":"What Makes Partially Observable Decision Making Tractable?\n\nAbstract: \nReal-world sequential decision-making problems - such as those in healthcare, recommendation, and language model alignment - are complicated by latent variables that influence the data but are never directly observed. The most general framework for such settings, the partially observable MDP, is statistically intractable. What structure makes learning tractable despite the latent variables?\n\nThis work identifies a common structural pattern across four distinct settings: the latent variable's influence is confined to one part of the data-generating process, and within that part it acts through a low-dimensional or low-complexity channel. We study this pattern in mixtures of MDPs, confounded offline policy evaluation, RLHF with partially observed reward states, and linear latent contextual bandits. In each case, we establish impossibility results showing what fails without the right assumptions, then develop algorithms that exploit the structure through spectral subspace recovery, decoupled estimation, and optimism calibrated to the latent channel's complexity. The resulting regret bounds, sample complexity bounds, and structural characterizations scale with the dimension of the latent channel rather than the ambient problem, and are matched by minimax lower bounds in key settings. We validate our methods on both synthetic and real-world data.",
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        "datetime_modified":"20260306T085718",
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        "event_title":"IES Energy Seminar Series - Igniting Microrobotics: Combustion-Driven Actuation at Small Scales",
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        "combined_title":"IES Energy Seminar Series - Igniting Microrobotics: Combustion-Driven Actuation at Small Scales: Cameron Aubin - U-M Robotics",
        "event_subtitle":"Cameron Aubin - U-M Robotics",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"Abstract:\nThe field of microrobotics is experiencing a \u201cCambrian Explosion\u201d before our very eyes. Applications for these diminutive devices span several disciplines, including healthcare, environmental monitoring, exploration, and industrial inspection. However, scaling laws fundamentally constrain the design of microrobotic systems, particularly in how they store energy, deliver power, and perform mechanical work. As robots shrink, conventional actuators struggle to generate meaningful forces. The limited energy density of microbatteries leaves many platforms tethered to external energy sources.\n\nIn this talk, I will present a new class of combustion-driven microactuators that leverage the high energy density of chemical fuels to produce rapid, high-power mechanical motion at millimeter scales. I will show how these actuators enable microrobots that jump far beyond their body length (2 orders of magnitude), perform aerial maneuvers, traverse challenging terrain, and drive mechanical transmissions that convert linear actuation into rotary motion. Together, these results point toward a new class of highly energetic, untethered microrobotic systems capable of operating where conventional actuation and power technologies fail.\n\nBiography:\nCameron Aubin is an Assistant Professor of Robotics at the University of Michigan, where he leads the Zoetic Robotics Laboratory. He received his B.S. in Biomedical Engineering from Duke University (2014) and his M.S (2020) and Ph.D. (2023) in Mechanical Engineering from Cornell University. His interdisciplinary team develops energy-material systems that blur the line between power, structure, actuation, and control, enabling more enduring, adaptable, and autonomous machines. Dr. Aubin\u2019s research interests include soft and biologically inspired robots, microrobots, chemical and combustion-powered systems, batteries, and advanced materials and manufacturing. His work has been published in several reputable journals, including Nature and Science, and has been featured in popular media outlets, including CNN, PBS, BBC, Wired, and Veritasium. Recent honors include a Best Paper Award in Benchmarking and Reproducibility and a Best Student Paper Finalist Award (as PI) at IEEE RoboSoft 2025.",
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        "event_title":"InSPIRE",
        "occurrence_title":"STPP Alumni Chat with Tyler Hoard",
        "combined_title":"InSPIRE: STPP Alumni Chat with Tyler Hoard",
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        "event_type":"Workshop \/ Seminar",
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        "description":"STPP Alumni Chat with Tyler Hoard -\u00a0Register Here!Date and Time:\u00a0Mar 12, 2026, 3:30-4:30 pm EDTLocation:\u00a0Weill Hall, Room 3240The Science, Technology, and Public Policy Program is excited to welcome STPP Alumnus and Associate Physical Scientist at the RAND Corporation, Tyler Hoard (PhD\/STPP '24), for afternoon snacks and conversation. Tyler will share his academic path and current work experience, where he delivers high-impact policy research and analysis across national security, biosecurity, space policy, and emerging technology portfolios within multiple research divisions and Federally Funded Research and Development Centers (FFRDCs).Speaker Bio:Tyler Hoard is an associate physical scientist at the RAND Corporation with interests spanning biosecurity, space policy, and emerging technologies. He holds a Ph.D. in Cell and Developmental Biology from the University of Michigan, where he also earned a graduate certificate in Science, Technology, and Public Policy. At RAND, his research portfolio includes projects on biotechnology, AI, synthetic biology, food security, and the commercial space industry.",
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        "datetime_modified":"20260309T154141",
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        "date_start":"2026-03-12",
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        "time_zone":"America\/Detroit",
        "event_title":"The Department of Astronomy 2025-2026 Colloquium Series Presents:",
        "occurrence_title":"",
        "combined_title":"The Department of Astronomy 2025-2026 Colloquium Series Presents:: Dr. Joseph Choi & Dr. Cody Carr Post Doc Colloquium",
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        "event_type":"Lecture \/ Discussion",
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        "description":"Joseph\u2019s Title: Tracing Black Hole Winds Across Cosmic Time with Broad Absorption Line Quasars\n\nAbstract: Supermassive black holes (SMBHs) can launch powerful winds that inject large amounts of energy and mass into their host galaxies, potentially regulating galaxy evolution. One of the clearest observational signatures of these winds appears in broad absorption line (BAL) quasars, whose spectra show deep, blueshifted absorption features tracing gas traveling at tens of thousands of kilometers per second. Despite decades of study, the physical properties of BAL winds have remained poorly understood due to the complexity of their spectra. In this talk, I will present an overview of my research using BAL quasars to map the physical properties of SMBH winds, enabled by SimBAL, a spectral synthesis software that made possible the first systematic analysis of BAL quasar spectra and provided robust constraints on outflow properties for large samples of quasars. I will also discuss new discoveries of high-redshift BAL quasars from surveys such as DESI and future studies with JWST and 4MOST that will expand our understanding of SMBH outflows across cosmic time.\n\n\nCody\u2019s Title: How Galactic Winds Influence Cosmic Ecosystems\n\nAbstract: A central insight of modern galaxy formation is that galaxies are not isolated systems, but dynamic reservoirs of gas and stars that continuously exchange matter and energy with their surroundings.  Galactic winds\u2014driven by stellar and AGN feedback\u2014can expel hundreds of solar masses of gas, dust, and metals to distances of tens of kiloparsecs, reshaping the structure and thermodynamics of the circumgalactic and intergalactic media. These winds regulate star formation, curb black hole growth, and may play a critical role in enabling the escape of ionizing radiation that reionized the Universe during the Epoch of Reionization.  In this talk, I will discuss how the physical properties of galactic winds\u2014including mass outflow rates\u2014are inferred from spectral line diagnostics, the current state of the art in radiative transfer modeling and interpretation, and key systematic uncertainties that remain. I will then explore how winds influence the escape of ionizing photons by altering the multiphase structure of the interstellar medium. Finally, I will outline future directions for this work and describe how next-generation facilities such as the Extremely Large Telescopes will transform absorption line studies of galactic winds.",
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