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SUMMARY:CM Seminar - "Building SimCity: How to Put the World in a Machine"
DESCRIPTION:  \n \nPresented by: Chaim Gingold \n  \nDescription: As play is intrinsic to humanity\, it should come as no surprise that the history of computing is veined with playful simulations and games of all kinds. From the Balinese cockfight to Los Alamos’s Monte Carlo simulations\, play and games\, in all their kaleidoscopic glory\, reflect the diverse cultures and communities of those who make and play them. \nThis talk focuses upon SimCity\, the genre-defying urban planning hit from 1989\, and the people who made it. We’ll examine how SimCity’s design counts urban planning\, videogames\, graphical user interfaces\, and complexity science among its many influences. This set the stage for SimCity’s reception and enabled Maxis\, SimCity’s developer\, to establish relationships with wide-ranging communities: Nintendo\, the Santa Fe Institute\, Wall Street venture capitalists\, and more. \nFocusing on people such as developers\, managers\, and investors sheds light on the messy process of software development—a negotiation between individuals\, their aspirations and worldviews\, and shape-shifting technologies. Springing forth from this mess came The Sims\, which required an extraordinary amount of research and development. But this same mess also thwarted Maxis’s solvency and its attempts to bring The Sims to market. Ultimately\, we’ll see how SimCity\, Maxis\, and The Sims—like games\, play\, and software more generally—reflect their time and place\, and the people who make them. \n  \nBio: Chaim Gingold is the author of Building SimCity: How to Put the World in a Machine (MIT Press)\, which Stewart Brand called “one of the best origin stories ever told and the best account I’ve seen of how innovation actually occurs in computerdom.” Gingold began his design career apprenticed to Will Wright on Spore\, where his chief accomplishment was designing the critically acclaimed Spore Creature Creator. His projects\, like Earth: A Primer\, a science book made of interactive toys\, have been featured by Wired\, CNN\, and the New York Times. \n  \nHosted by: Professor Nathan Altice \nWhen: Monday\, November 3\, 2025 from 12:30PM to 1:30PM \nLocation:  \nIN-PERSON @ UCSC Main Campus\, E2-280. \nViewing room @ SVC 3212.  \nLUNCH WILL BE PROVIDED AT BOTH LOCATIONS! Faculty and students are highly encouraged to attend. \nZoom info:  \nhttps://ucsc.zoom.us/j/95438112782?pwd=M5p0WNpWamQMui1ZO5Ry71GB0vK2fq.1\nMeeting ID: 954 3811 2782\nPasscode: 038355
URL:https://events.ucsc.edu/event/cm-seminar-building-simcity-how-to-put-the-world-in-a-machine/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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DTSTART;TZID=America/Los_Angeles:20251103T160000
DTEND;TZID=America/Los_Angeles:20251103T170000
DTSTAMP:20260520T114150
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SUMMARY:Statistics Seminar: Topological Clustering: from Multilayer Networks to Climate Resiliency and Beyond
DESCRIPTION:Presenter: Professor Yulia R. Gel\, Virginia Tech \nDescription: Multilayer networks continue to gain significant attention in many areas of study\, particularly\, due to their high utility in modeling interdependent systems such as critical infrastructures\, human brain connectome\, and socio-environmental ecosystems. However\, clustering of multilayer networks\, especially\, using the information on higher order interactions of the system entities\, yet remains in its infancy. We discuss a new topological approach for multilayer network clustering\, based on the rationale to group nodes not using the pairwise connectivity patterns or relationships between observations recorded at two individual nodes\, but based on how similar in shape their local neighborhoods are at various resolution scales.  We quantify shapes of local node neighborhoods using persistence diagrams and then consider either single linkage or k-means forms of topological clustering\, which allows us to systematically account for the important heterogeneous higher-order properties of node interactions within and in-between network layers and to integrate information from the node neighbors. In case of topological k-means\, we also show that casting it into an empirical risk minimization framework using reproducing kernel Hilbert spaces allows us to derive clustering stability guarantees\, similarly to the Euclidean k-means\, i.e.\, property that most existing topological clustering methods lack. We illustrate our topological clustering methods in application to assessing climate-induced risks in insurance and COVID-19 biosurveillance. \nBio: Yulia R. Gel is a Professor in the Department of Statistics at Virginia Tech. Her research interests focus on mathematical and statistical foundations of data science\, topological and geometric methods in artificial intelligence and machine learning\, risk analytics\, and graph learning\, with applications to assessing resilience of complex systems\, digital twins\, and early warning mechanisms. She holds a Ph.D in Mathematics\, followed by a postdoctoral position in Statistics at the University of Washington. Prior to joining Virginia Tech\, she was a tenured faculty member at the University of Waterloo\, Canada and University of Texas at Dallas. She also held visiting positions at Johns Hopkins University\, University of California\, Berkeley\, and the Isaac Newton Institute for Mathematical Sciences\, Cambridge University\, UK. In her recent stint (2021-2025) as Program Director in National Science Foundation (NSF) at the Division of Mathematical Sciences (DMS) and Directorate for Technology\, Innovation and Partnerships (TIP)\, she has served as a cognizant officer for various inter-agency interdisciplinary research programs at the interface of mathematical sciences and artificial intelligence\, including the NSF-FDA-NIH Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation (FDT-BioTech) and the NSF-NIH Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH). She has authored more than 150 publications in top statistical\, data mining and machine learning venues such as NeurIPS\, ICML\, ICLR\, AAAI\, KDD\, IJCAI\, and PNAS and served as senior area chair for ICML and NeurIPS. Her research has been continuously supported by ONR\, NASA\, and NSF. She is a Fellow of the American Statistical Association (ASA)\, recipient of the NSF2023 Director’s Award\, NSF STARS Awards\, and has multiple Best Paper Awards from the ASA Section on Statistics for Defense and National Security. \nHosted by: Professor Paul Parker
URL:https://events.ucsc.edu/event/statistics-seminar-topological-clustering-from-multilayer-networks-to-climate-resiliency-and-beyond/
LOCATION:CA
CATEGORIES:Lectures & Presentations
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DTSTART;TZID=America/Los_Angeles:20251103T160000
DTEND;TZID=America/Los_Angeles:20251103T170000
DTSTAMP:20260520T114150
CREATED:20251020T180018Z
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SUMMARY:AM Seminar: In Search of Stratified Turbulence
DESCRIPTION:Presenter: Colm-cille Patrick Caulfield\, Professor\, DAMTP\, University of Cambridge \nDescription: Statically stable density stratification is ubiquitous in geophysical flows\, with the atmosphere\, lakes and oceans all typically having an average density distribution that decreases upwards in a gravitational field. Due to the associated stabilising effect of the buoyancy force\, it would seem intuitive that such statically stable density distributions should suppress vertical motions\, relative to horizontal motions. Such inevitable anisotropy complicates even further developing an understanding of turbulence in density-stratified fluids. Stratified turbulence is not just a fascinating (and inherently complicated) research challenge in classical physics\, but also a key component of the global climate system\, as stratified turbulence has a leading order effect on the transport of heat and other scalars such as carbon dioxide\, pollutants etc in the world’s oceans and atmosphere. Indeed\, how stratified turbulence can actually be `born’ and then `survive’ for a significant period\, hence irreversibly mixing significant scalar quantities\, are open questions\, associated with ongoing controversy in the global research community. In this talk\, I will review some recent studies by my collaborators that have advanced our understanding of various key properties of stratified turbulence and mixing\, while also demonstrating that there is still much more to learn about this fascinating and vitally important class of fluid flows. \n\n\n\n\n\nBio: Colm-cille P. Caulfield is Professor of Environmental and Industrial Fluid Dynamics in the Department of Applied Mathematics and Theoretical Physics (DAMTP) at the University of Cambridge\, and a faculty member of the Institute for Energy and Environmental Flows (IEEF). He is also a Professorial Fellow in Mathematics at Churchill College\, Cambridge\, and the Co-Director (Science) of the University’s Institute of Computing for Climate Science (ICCS)\, which studies and supports the role of software engineering\, computer science\, AI and data science within climate science. Prof. Caulfield’s personal research interests include instability\, turbulence transition and turbulent mixing processes in stratified flows\, with particular focus on understanding and improving the modelling of heat transport in the world’s oceans. His undergraduate studies were at the University of Ulster at Coleraine\, graduating with a BSc in Mathematics in 1987. He then studied for his Masters and PhD in Fluid Mechanics at DAMTP under the supervision of Prof Paul Linden FRS\, defending his thesis on stratified shear instabilities in 1991. Following postdoctoral training in the Department of Physics at the University of Toronto and the Department of Engineering Science at Hokkaido University\, he was a lecturer in the School of Mathematics at the University of Bristol from January 1995 to June 1999. Prof. Caulfield subsequently joined the faculty of the Department of Mechanical and Aerospace Engineering at the University of California\, San Diego for the period July 1999 to June 2005. Following tenure at UCSD\, Prof. Caulfield joined the BP Institute (now IEEF) and DAMTP in July 2005. Prof. Caulfield is the Editor-in-Chief of the Journal of Fluid Mechanics\, the Chair of the European Mechanics Society (Euromech) Turbulence Conference Committee\, and served as the Head (ie Dept Chair) of DAMTP January 2020-September 2025. He was elected a Fellow of the American Physical Society (Division of Fluid Dynamics) in 2014.\n\n\n\n\n\nHosted by: Professor Julie Simons
URL:https://events.ucsc.edu/event/am-seminar-in-search-of-stratified-turbulence/
LOCATION:CA
CATEGORIES:Lectures & Presentations
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