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        "event_title":"Seminar Series: What does Urban Psychology tell us about implicit biases?",
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        "combined_title":"Seminar Series: What does Urban Psychology tell us about implicit biases?: Andrew Stier (Santa Fe Institute)",
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        "description":"Andrew Stier holds a PhD in Integrative Neuroscience from the University of Chicago, a Masters in Psychology and a BA in Mathematics and Physics from the University of Chicago and is currently at the Santa Fe Institute. Andrew\u2019s research in Urban Psychology takes advantage of cities\u2019 regularities to study human behavior and of the inner workings of large-scale complex systems. He uses these models as a starting point to develop a theoretical framework that comprehensively explains emergent human behavior across scales, from individual brain function to entire urban areas.\r\n\r\nAbstract\r\nAre people less racist in Santa Fe or Ann Arbor? Are people more or less depressed in larger cities? Are attention spans shorter in busy urban areas? Urban Psychology is the study of how the built environment of cities influences human behavior and causes psychological adaptations at the individual level. In this talk, I will discuss the results of my research extending Urban Scaling Theory models to better understand how cities shape human psychology. I will (1) briefly review how cities systematically influence mental health and cognition, and (2) discuss what I have learned applying urban psychology models to understand implicit biases. I will present mathematical models, backed up by real-world and experimental (i.e., laboratory) data, which demonstrate that people are less depressed, more attentive, and less racist (i.e., have lower implicit racial biases) in larger cities. In addition, I will demonstrate that implicit biases change more slowly in larger cities than smaller cities, despite the fact that biases are lower in larger cities. Finally, I will discuss the implications of this observation for large-scale cultural change and the effectiveness of individual-level bias interventions.",
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        "tags":["AEM Featured","Complex Systems","Complexity","Psychology","Santa Fe Institute"],
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        "event_title":"Spatial Sorting of Workers and Firms",
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        "combined_title":"Spatial Sorting of Workers and Firms: Ryungha Oh, Northwestern University",
        "event_subtitle":"Ryungha Oh, Northwestern University",
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        "description":"Why do productive workers and firms locate together in dense cities? I develop a new theory of two-sided sorting in which both heterogeneous workers and firms sort across space. The location choices of workers and firms affect each other and endogenously generate spatial disparities in the presence of three essential forces: complementarity between worker and firm productivity, random matching within frictional local labor markets, and congestion costs. I demonstrate that the decentralized equilibrium exhibits excessive concentration of workers and firms, and dispersing them away from dense locations can mitigate congestion without reducing output. I then provide direct empirical evidence of the two-sided sorting mechanism using German administrative microdata. An exogenous increase in the quality of the workforce in a location results in more productive firms choosing that location. Finally, to quantify the implications of the model, I calibrate it to U.S. regional data and show that policies that relocate workers and firms toward less dense areas can increase welfare.",
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