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DTSTART;TZID=America/Detroit:20201020T113000
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UID:10000405-1603193400-1603198800@micde.umich.edu
SUMMARY:LSA Complex Systems / MICDE / MIDAS Seminar: Marissa Renardy\, Research Fellow\, Microbiology & Immunology\, University of Michigan
DESCRIPTION:Predicting the second wave of COVID-19 in Washtenaw County\, MI\nAbstract: In this work\, we study and predict the spread of COVID-19 in Washtenaw County\, MI through applying a discrete and stochastic network-based modeling framework. In this framework\, we construct contact networks based on synthetic population datasets specific for Washtenaw County that are derived from US Census datasets. We assign individuals to households\, workplaces\, schools\, and group quarters (such as prisons or long term care facilities). In addition\, we assign casual contacts to each individual at random. Using this framework\, we explicitly simulate Michigan-specific government-mandated workplace and school closures as well as social distancing measures. We perform sensitivity analyses to identify key model parameters and mechanisms contributing to the observed disease burden in the three months following the first observed cases of COVID-19 in Michigan. We then consider several scenarios for relaxing restrictions and reopening workplaces to predict what actions would be most prudent. In particular\, we consider the effects of 1) different timings for reopening\, and 2) different levels of workplace vs. casual contact re-engagement. Through simulations and sensitivity analyses\, we explore mechanisms driving the magnitude and timing of a second wave of infections upon re-opening. \nThis work is based on Dr. Renardy’s paper in press in the Journal of Theoretical Biology with coauthors:\nMarisa Eisenberg\, UM Complex Systems & Math (LSA) and Epidemiology (Public Health)\nDenise Kirschner\, UM Department of Microbiology & Immunology (Medical School) \nRegistration is not required for this event\, you may join the seminar via this link. \nThe recording of this webinar will be available for viewing soon! \nThis seminar is hosted by the LSA Center for the Study of Complex Systems\, and co-sponsored by the Michigan Institute for Computational Discovery & Engineering (MICDE) and the Michigan Institute for Data Science (MIDAS).
URL:https://micde.umich.edu/event/lsa-complex-systems-micde-midas-seminar-marissa-renardy-research-fellow-microbiology-immunology-university-of-michigan/
LOCATION:Zoom Event
CATEGORIES:Featured Events,MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2020/09/Marissa-Renardy.png
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DTSTART;TZID=America/Detroit:20200225T113000
DTEND;TZID=America/Detroit:20200225T130000
DTSTAMP:20230905T171342Z
CREATED:20230905T171342Z
LAST-MODIFIED:20230905T171342Z
UID:10000354-1582630200-1582635600@micde.umich.edu
SUMMARY:Complex Systems Seminar: David Goluskin\, Assistant Professor\, Mathematics and Statistics\, University of Victoria
DESCRIPTION:Bio: David Goluskin is an Assistant Professor in the Department of Mathematics and Statistics at the University of Victoria. Goluskin received his undergraduate degrees from the University of Colorado\, Boulder\, a master’s from Columbia University\, and a PhD in Applied Mathematics from Columbia University. His research is in the broad area of applied nonlinear dynamics and incorporates both computation and analysis. Much of Professor Goluskin’s work concerns fluid dynamics\, but he also studies simpler ordinary and partial differential equations. \nStudying dynamics using computational polynomial optimization\nMany complex systems are governed by nonlinear ODEs or PDEs that cannot be solved exactly. Various properties of such solutions can be inferred by constructing auxiliary functions that satisfying suitable inequalities. The most familiar example is the construction of Lyapunov functions to infer stability of particular states\, but similar approaches can produce many other types of mathematical statements\, including for systems with chaotic or otherwise complicated behavior. Such statements include estimates of time-averaged quantities and extreme transient behavior\, approximation of nonlinear stability properties\, and design of controls. In many cases\, the search for the auxiliary function that implies the strongest mathematical statement can be posed as a convex optimization problem. Such problems can be studied analytically or computationally\, but in most cases computation is needed to find solutions that are close to optimal. Of particular use are computational methods of polynomial optimization\, where the optimization constraints include polynomial inequalities. This talk will provide an overview of different ways in which auxiliary functions can be used to study nonlinear ODEs and PDEs\, as well as how polynomial optimization can be used to implement these methods computationally. Methods will be illustrated using applications to various complex systems.
URL:https://micde.umich.edu/event/complex-systems-seminar-david-goluskin-assistant-professor-mathematics-and-statistics-university-of-victoria/
LOCATION:Weiser Hall\, Room 747\, 500 Church St\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,Seminar
ATTACH;FMTTYPE=image/jpeg:https://micde.umich.edu/wp-content/uploads/2023/02/event_72568_original-1-e1582558578476.jpg
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DTSTART;TZID=America/Detroit:20191017T113000
DTEND;TZID=America/Detroit:20191017T123000
DTSTAMP:20230905T171337Z
CREATED:20230905T171337Z
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UID:10000247-1571311800-1571315400@micde.umich.edu
SUMMARY:MICDE Seminar: Janet Scheel\, Associate Professor\, Physics\, Occidental College
DESCRIPTION:Bio: Dr. Scheel has taught at a variety of higher education institutions\, including California Lutheran University\, Caltech\, and Cornell University. She also conducted research at Cal Lutheran\, Caltech\, Cornell\, and Argonne National Laboratory. She is coauthor of Analytical Mechanics\, an advanced undergraduate physics textbook. She is currently a Mercator Fellow as a part of the Priority Programme SPP 1881 of the Deutsche Forschungsgemeinschaft. Janet Scheel’s research deals with pattern formation and turbulence. The particular system she studies is Rayleigh-Benard convection. \nNumerical Simulations of Turbulence in Heated Fluids\nTurbulent systems are all around us\, from waves crashing on our beaches\, to smoke rising from the fires in our mountains\, to the air that can disrupt our smooth airline flights. But\, turbulent systems are not well understood. Rayleigh-Benard Convection is a more simplified system which captures some of the key features of turbulence\, including thermal plumes\, thin boundary layers and large-scale flow. In Rayleigh-Benard convection\, an enclosed fluid is bounded by horizontal parallel plates kept at a constant temperature difference. Results from numerical simulations of the equations which describe Rayleigh-Benard convection will be discussed and compared to experimental and theoretical results. These include flows in air and liquid metals in confined containers in addition to more horizontally extended systems. \nThis seminar is jointly sponsored with the department of Complex Systems. Prof. Scheel is being hosted by Prof. Doering (Complex Systems\, Mathematics and Physics). If you would like to meet with her during her visit\, please send an email to micde-events@umich.edu. If you are an MICDE students and would like to join Prof. Scheel for lunch\, please RSVP  by October 15th. 
URL:https://micde.umich.edu/event/fall2019-scheel-occidentalcollege/
LOCATION:Weiser Hall\, Room 747\, 500 Church St\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2019/07/Janet-Scheel.png
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