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        "description":"Please join us for the one-day conference hosted by Michigan International Economics on Friday, November 14 at the Lorch Hall in room 201. RSVP is not required.\r\n\r\nThe conference program is below:\r\n\r\n10:00 \u2013 11:00 AM  Federico Huneeus (Duke) \"Production Network Formation, Trade, and Welfare\"\r\nAbstract: We study the aggregate implications of production network formation in a quantitative multi-location general equilibrium trade model. Firms search for suppliers and buyers across locations subject to matching frictions, generating a gravity structure of production networks. We develop sufficient statistics for global and regional welfare and characterize the deviations from the fixed network environment, including the role of inefficiency and amplification effects of search and matching. We calibrate our multi-sector model to Chilean domestic and international firm-to-firm trade data and show that our model can rationalize the observed increase in domestic supplier linkages after Chile\u2019s recent trade agreements. Abstracting from endogenous networks reduces Chile\u2019s aggregate welfare losses by 20 percent when import costs are raised to their pre-agreement levels, consistent with inefficiently low equilibrium levels of search. Fixing the trade elasticity, the welfare gains from trade relative to municipality autarky drop by 40 percent due to amplification effects of search.\r\n\r\n11:00 \u2013 11:30 AM Coffee Break\t\r\n\r\n11:30 \u2013 12:30 PM Enghin Atalay (Philadelphia Fed) \"Micro- and Macroeconomic Impacts of a Place-Based Industrial Policy\"\r\nAbstract: We evaluate a set of place-based subsidies introduced in Turkey in 2012. Using firmlevel balance-sheet data along with data on the domestic production network, we first assess the policy\u2019s direct and indirect impacts. We identify increased economic activity in industry-province pairs targeted by the subsidies, with positive spillovers to firms\u2019 customers and suppliers. Using a dynamic multi-region multi-industry general equilibrium model, we assess the program\u2019s aggregate impacts. According to the calibrated model, the subsidy program reduces inequality between the relatively underdeveloped and more prosperous portions of the country. However, trade, migration, and investment spillovers blunt the policy\u2019s impact on regional inequality.\r\n\r\n1:30 \u2013 2:30 PM Xiang Ding (Georgetown)  \"The Costs of Market Disintegration: Evidence from the India-Pakistan Border\"\r\nAbstract: This paper constructs the first global dataset on inter-sectoral capital service flows. I use this data to disaggregate capital services and intermediate inputs in a dynamic multi-sector model of global production. Steady state allocations and responses to shocks are determined by a capital-augmented global input-output matrix. Two properties of the capital services network deliver larger long-run consumption impacts of globalization than existing estimates, and larger impacts in more capital-intensive countries. First, more consumption-influential producers use capital from more trade-exposed suppliers. Second, heterogeneity in the network reallocates sectoral expenditures towards producers with the largest respective declines in capital service costs. These reallocations raise capital incomes for producers and lower price indices for consumers.",
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        "event_title":"La Tertulia: Spanish Coffee Hour",
        "occurrence_title":"",
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        "description":"Hola! \u00bfC\u00f3mo est\u00e1s?\r\n\r\n-Practice your Spanish-speaking skills with peers & instructors in a relaxed environment. All language levels and students are welcome to join the conversation. \r\n\r\n-Come & go as you please, stay as little or as long as you would like! \r\n\r\n-Free coffee, tea, light snacks, & baked goods.\r\n\r\nThe RLL Commons is located in the center hallway of the 4th floor of the Modern Languages Building. \r\n\r\nFor more information contact Julie Harrell at (harrelju@umich.edu).",
        "occurrence_notes":"The RLL Commons is located in the center hallway of the 4th floor of the Modern Languages Building.",
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        "event_title":"Statistics Department Seminar Series: Yao Xie, Coca-Cola Foundation Chair & Professor, H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology",
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        "combined_title":"Statistics Department Seminar Series: Yao Xie, Coca-Cola Foundation Chair & Professor, H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology: \"Generative Models for Statistical Inference: From Wasserstein Flows to Guided Generation\"",
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        "description":"Abstract: Generative models such as normalizing flows and diffusion processes have transformed how we represent complex, high-dimensional data, yet their statistical and mathematical foundations remain less understood. In this talk, I will present a unified framework that views generative modeling as flows in probability space, continuous transformations between distributions that reveal the geometric structure underlying learning and inference. I will begin with the JKO-flow generative model, inspired by the Jordan\u2013Kinderlehrer\u2013Otto (JKO) scheme for Wasserstein gradient flows, which interprets density learning as proximal gradient descent in the space of probability measures. This perspective offers provable convergence guarantees and connects generative modeling with classical principles of statistical inference. Building on this foundation, I will discuss recent extensions using guided flow generative models that incorporate data- or risk-driven guidance fields to achieve robustness, domain adaptation, and inference under uncertainty. Together, these results form a framework that bridges statistics, optimization, and machine learning, bringing classical inferential ideas toward a principled foundation for trustworthy generative AI.",
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        "event_title":"Write with ME!",
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        "event_title":"Artificial Intelligence Tools Short Course: \u201cAI Tools Do the Heavy Lifting\u2014You Keep the Fun Parts\u201d",
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        "description":"PhD candidate Robert Langefeld leads the AI Tools Short Course, \u201cAI Tools Do the Heavy Lifting\u2014You Keep the Fun Parts.\u201d This interactive session demonstrates how today\u2019s most powerful AI platforms can accelerate research, simplify academic workflows, and enhance learning and teaching. Participants will gain practical experience using tools such as OpenAI, Gemini, Copilot, and UM GPT, learn strategies for integrating AI into their work, and preview innovations shaping the next generation of biostatistical research.",
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