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DTSTART;TZID=America/Detroit:20161025T180000
DTEND;TZID=America/Detroit:20161025T190000
DTSTAMP:20260607T060935
CREATED:20230905T171442Z
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SUMMARY:[SC2] DEMO: Visualizations on remote resources
DESCRIPTION:Results of adaptive simulations of a three-dimensional wing undergoing flapping motion in viscous flow. K. Fidkowski (U-M Aerospace) \nOne of the advantages of scientific computing research is the ability to use powerful supercomputers from the convenience of your home computer\, laptop\, tablet\, or even phone! In the next SC2 meeting club members will be demonstrating how you can use these remote resources to run and visualize simulations. Additionally\, we will be demonstrating the “scientific python” stack (Python\, NumPy\, Scipy) to duplicate MATLAB functionality with free\, open source software.
URL:https://micde.umich.edu/event/sc2-demo-visualizations-on-remote-resources/
LOCATION:340 West Hall\, 1085 South University Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:SC2
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BEGIN:VEVENT
DTSTART;TZID=UTC:20161014T151000
DTEND;TZID=UTC:20161014T160000
DTSTAMP:20260607T060935
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SUMMARY:MICDE Seminar: Anthony Wachs\, University of British Columbia
DESCRIPTION:Bio: Anthony Wachs is an assistant professor with a joint appointment in the departments of Mathematics and of Chemical and Biological Engineering at the University of British Columbia\, Vancouver\, Canada. He received his B. Sc. and M. Sc. from the University Louis Pasteur of Strasbourg and his PhD from the Institut National Polytechnique of Grenoble in 2000. Right after\, he was hired in 2001 as a Fluid Mechanics research engineer at IFP Energies nouvelles (IFPEN\, at that time Institut Français du Pétrole) in Paris. \nIn 2009\, he spent a one-year sabbatical at the nuclear research center of Cadarache in the south of France\, where he worked for IRSN (the french national safety administration for nuclear energy). In 2010\, he got his HDR (French Habilitation to Supervise Research) and was later promoted Scientific Advisor at IFPEN in Multiphase Flows and Scientific Computing. He then moved to IFPEN-Lyon where he supervised a group of researchers (including PhD and post-doc students) on the numerical simulation of reactive particulate flows (www.peligriff.com). \nHis main research interests are non-Newtonian Flows\, Multiphase Flows and High Performance Computing. He collaborates extensively with academic groups in Canada\, Brazil\, France and Germany. \nMicro/meso numerical modeling of flows laden with particles of arbitrary shape\nParticulate flows are ubiquitous in environmental\, geophysical and engineering processes. The intricate dynamics of these two-phase flows is governed by momentum transfer between the continuous fluid phase and the dispersed particulate phase. When significant temperature differences exist between the fluid and particles and/or chemical reactions take place at the fluid/particle interfaces\, the phases also exchange heat and/or mass\, respectively. While some multi-phase processes may be successfully modelled at the continuum scale through closure approximations\, an increasing number of applications require resolution across scales\, e.g. dense suspensions\, fluidized beds. Within a multi-scale micro/meso/macro-framework\, we develop robust numerical models at the micro and meso scales\, based on a Distributed Lagrange Multiplier/Fictitious Domain method and a two-way Euler/Lagrange method\, respectively. Collisions between finite size particles are modeled with a Discrete Element Method. Many real-life processes and/or flows involve non-spherical particles. Although there is still a lot to learn about flows laden with spherical particles\, there is also a strong incentive to develop new modeling tools to account for non-spherical\, angular\, convex or even non-convex particles. We discuss assorted issues related to the numerical modelling of flows laden with particles of arbitrary shape. Along the way\, we also address high performance computing issues related to our massively parallel numerical tools and challenges to efficiently transfer knowledge from small scales to large scales. We illustrate the modelling capabilities of our tools on the two following problems relevant of applications from the chemical engineering and process industry: (i) a rotating drum filled with non-convex particles and (ii) fixed and fluidized beds of multilobic (and hence non-convex) particles.\n\n  \nThis seminar is co-organized with the Applied Interdisciplinary Mathematics program
URL:https://micde.umich.edu/event/micde-seminar-anthony-wachs-university-of-british-columbia/
LOCATION:1084 East Hall\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:MICDE Seminar Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20161011T180000
DTEND;TZID=America/Detroit:20161011T190000
DTSTAMP:20260607T060935
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SUMMARY:[SC2] High Performance Computing resources available to U-M students
DESCRIPTION:Did you know that U-M has a high capacity\, secure research storage and a free data science cluster? Did you know that XSEDE is a free scientific discovery infrastructure funded by NSF and available to anyone that needs it? In our next SC2 meeting Brock Palen\, Associate Director of Advanced Research Computing-Technology Services\, will join us to talk about these and all the high performance computing (HPC) resources available to U-M graduate and undergraduate students. \nBrock will be available for questions at the end of his presentation. \nPlease join us\, pizza and pop will be provided. \n \n 
URL:https://micde.umich.edu/event/sc2-high-performance-computing-resources-available-to-u-m-students/
LOCATION:1003 EECS\, 1301 Beal Ave.\, Ann Arbor\, 48109\, United States
GEO:42.292322;-83.713272
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20161007T160000
DTEND;TZID=America/Detroit:20161007T180000
DTSTAMP:20260607T060935
CREATED:20230905T171441Z
LAST-MODIFIED:20230905T171441Z
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SUMMARY:Gary King\, PhD\, Harvard\, Institute for Quantitative Social Science - MIDAS Seminar Series
DESCRIPTION:Gary King\, PhD\nHarvard University\n‘Big Data is Not About the Data!’\nAbstract: The spectacular progress the media describes as “big data” has little to do with the data.  Data\, after all\, is becoming commoditized\, less expensive\, and an automatic byproduct of other changes in organizations and society. More data alone doesn’t generate insights; it often merely makes data analysis harder. The real revolution isn’t about the data\, it is about the stunning progress in the statistical and other methods of extracting insights from the data. I illustrate these points with a wide range of examples from research I’ve participated in\, including forecasting the solvency of Social Security; reverse engineering Chinese government censorship and fabrication of social media posts; how the same methods can estimate the causes of death in developing countries and understand billions of social media posts; an educational innovation that guarantee that students will do the reading; among others. \nBio: Gary King is the Albert J. Weatherhead III University Professor at Harvard University — one of 24 with the title of University Professor\, Harvard’s most distinguished faculty position. He is based in the Department of Government (in the Faculty of Arts and Sciences) and serves as Director of the Institute for Quantitative Social Science. King develops and applies empirical methods in many areas of social science research\, focusing on innovations that span the range from statistical theory to practical application. \nKing is an elected Fellow in 8 honorary societies (National Academy of Sciences 2010\, National Academy of Social Insurance 2014\, American Statistical Association 2009\, American Association for the Advancement of Science 2004\, American Academy of Arts and Sciences 1998\, Society for Political Methodology 2008\, American Academy of Political and Social Science 2004\, and the Guggenheim Foundation 1994-5) and has won more than 40 “best of” awards for his work (including the Warren E. Miller Award for Meritorious Service to the Social Sciences 2015\, Career Achievement Award 2010\, McGraw-Hill Award 2006\, Durr Award 2005\, Gosnell Prize 1999 and 1997\, Warren Miller Prize 2008\, Outstanding Statistical Application Award 2000\, Donald Campbell Award 1997\, Eulau Award 1995\, Mills Award 1993\, Pi Sigma Alpha Award 2005\, 1998\, and 1993\, APSA Research Software Award 2005\, 1997\, 1994\, and 1992\, Okidata Best Research Software Award 1999\, Okidata Best Research Web Site Award 1999\, Mendelsohn Excellence in Mentoring Award 2011\, Kellogg/Notre Dame Award 2014\, among others). King was elected President of the Society for Political Methodology (1997-1999) and Vice President of the American Political Science Association (2003-2004). He has been a member of the Senior Editorial Board at Science (2015-)\, Visiting Fellow at Oxford (1994)\, and Senior Science Adviser to the World Health Organization (1998-2003).  His more than 150 journal articles\, 20 open source software packages\, and 8 books span most aspects of political methodology\, many fields of political science\, and several other scholarly disciplines. \nKing’s work is widely read across scholarly fields and beyond academia. He was listed as the most cited political scientist of his cohort; among the group of “political scientists who have made the most important theoretical contributions” to the discipline “from its beginnings in the late-19th century to the present”; and on ISI’s list of the most highly cited researchers across the social sciences. His work on legislative redistricting has been used in most American states by legislators\, judges\, lawyers\, political parties\, minority groups\, and private citizens\, as well as the U.S. Supreme Court. His work on inferring individual behavior from aggregate data has been used in as many states by these groups\, and in many other practical contexts. His contributions to methods for achieving cross-cultural comparability in survey research have been used in surveys in over eighty countries by researchers\, governments\, and private concerns. King led an evaluation of the Mexican universal health insurance program\, which included the largest randomized health policy experiment to date. He has reverse engineered Chinese censorship\, and worked on a wide range of other projects. The statistical methods and software he develops are used extensively in academia\, government\, consulting\, and private industry.  He is a founder\, and an inventor of the original technology for\, Learning Catalytics (acquired by Pearson)\, Crimson Hexagon\, Perusall\, among others. \nKing has had many students and postdocs\, many of whom now hold faculty positions at leading universities and companies. He has collaborated with more than 150 scholars\, including many of his students\, on research for publication. He has served on more than 30 editorial boards; on the governing councils of the American Political Science Association\, Inter-university Consortium for Political and Social Research\, the Society for Political Methodology\, and the Midwest Political Science Association; and on several National Research Council and National Science Foundation panels. \nKing received a B.A. from SUNY New Paltz (1980) and a Ph.D. from the University of Wisconsin-Madison (1984). His research has been supported by the National Science Foundation\, the Centers for Disease Control and Prevention\, the World Health Organization\, the National Institute of Aging\, the Global Forum for Health Research\, and centers\, corporations\, foundations\, and other federal agencies. \nContact Info\nFor more information on MIDAS or the Seminar Series\, please contact midas-contact@umich.edu. MIDAS gratefully acknowledges Northrop Grumman Corporation for its generous support of the MIDAS Seminar Series.
URL:https://micde.umich.edu/event/gary-king/
LOCATION:Gerald Ford Library\, 1000 Beal Avenue\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:MIDAS Seminar Series
GEO:42.2885859;-83.7122586
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20161006T154500
DTEND;TZID=UTC:20161006T170000
DTSTAMP:20260607T060935
CREATED:20230905T171441Z
LAST-MODIFIED:20230905T171441Z
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SUMMARY:MICDE Seminar: Jonathan Freund\, University of Illinois at Urbana-Champaign
DESCRIPTION:Bio: Jonathan Freund is the Donald Biggar Willett Professor of Mechanical Science & Engineering and Aerospace at the University of Illinois at Urbana-Champaign.   He is a Fellow of the American Physical Society\, and a winner of the 2008 Frenkiel Prize from its Division of Fluid Dynamics where he currently serves as the division secretary/treasurer.  He is an associate editor of Physical Review Fluids and on the editorial board of Annual Review of Fluid Mechanics.  Computational science has been central to his research\, which has included simulations of turbulent jet noise and its control\, the dynamics of molecularly thin liquid films\, nanostructure formation by ion-bombardment of semiconductor materials\, and most recently the dynamics of red blood cells flowing in the narrow confines of the microcirculation.  He co-directs the DOE-funded Center for Exascale Simulation of Plasma-Coupled Combustion at the University of Illinois. \nAdjoint-based optimization for understanding and reducing flow noise\nAdvanced simulation tools\, particularly large-eddy simulation techniques\, are becoming capable of making quality predictions of jet noise for realistic nozzle geometries and at engineering relevant flow conditions.  Increasing computer resources will be a key factor in improving these predictions still further.  Quality prediction\, however\, is only a necessary condition for the use of such simulations in design optimization.  Predictions do not of themselves lead to quieter designs.  They must be interpreted or harnessed in some way that leads to design improvements.  As yet\, such simulations have not yielded any simplifying principals that offer general design guidance. The turbulence mechanisms leading to jet noise remain poorly described in their complexity.  In this light\, we have implemented and demonstrated an aeroacoustic adjoint-based optimization technique that automatically calculates gradients that point the direction in which to adjust controls in order to improve designs.  This is done with only a single flow solutions and a solution of an adjoint system\, which is solved at computational cost comparable to that for the flow. Optimization requires iterations\, but having the gradient information provided via the adjoint accelerates convergence in a manner that is insensitive to the number of parameters to be optimized.  The talk will review the formulation of the adjoint of the compressible flow equations for optimizing noise-reducing controls and present examples of its use.  We will particularly focus on some mechanisms of flow noise that have been revealed via this approach. \nThis seminar is co-sponsored by U-M Aerospace Engineering
URL:https://micde.umich.edu/event/micde-seminar-jonathan-freund-university-of-illinois-at-urbana-champaign/
LOCATION:Boeing Auditorium –  1109 Francois-Xavier Bagnoud Building\, 1320 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2016/08/Jonathan-Freund.png
GEO:42.2934378;-83.7118764
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Boeing Auditorium –  1109 Francois-Xavier Bagnoud Building 1320 Beal Ave. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=1320 Beal Ave.:geo:-83.7118764,42.2934378
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160929T160000
DTEND;TZID=UTC:20160929T170000
DTSTAMP:20260607T060935
CREATED:20230905T171442Z
LAST-MODIFIED:20230905T171442Z
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SUMMARY:MICDE Seminar: Jeremy Lichstein\, University of Florida
DESCRIPTION:Bio: Jeremy Lichstein is an assistant professor of Biology at the University of Florida. Professor Lichstein got his Ph. D. from Princeton University and was a postdoctoral research fellow at Princeton’s department of Ecology and Evolutionary Biology. He was the recipient of the University of Florida Excellence Award for Assistant Professor\, and was named a Florida Climate Institute Fellow for 2016-2017. His research interests are forest dynamics\, biodiversity\, carbon cycle and climate change. \nBiodiversity and the changing Earth System: computational challenges and new answers to old questions\nTerrestrial ecosystems currently offset roughly 25% of global annual anthropogenic fossil fuel emissions. However\, the fate of this carbon sink is highly uncertain\, in large part because global models diverge in their predictions of ecosystem responses to climate change\, drought\, and other perturbations. Although there is little agreement on how terrestrial ecosystems will respond to global change on decadal and longer time-scales\, there is wide consensus that current global models are overly simplistic in their representation of important ecological processes. I will discuss our current understanding of how tree functional diversity is maintained in forests\, the consequences of including more realistic levels of functional diversity in global models\, and the computational challenges that need to be overcome in order to introduce ecological realism into the Earth System Models that the scientific and policy communities rely on for climate projections. A key result that is emerging from empirical and theoretical studies is that shifts in species composition across time or space (beta diversity) have different (and sometimes opposite) effects on ecosystem stability as local (alpha) diversity. \nThis seminar is co-sponsored by the U-M department of Ecology and Evolutionary Biology
URL:https://micde.umich.edu/event/micde-2016-fall-seminar-series-jeremy-lichstein-university-of-florida/
LOCATION:1210 Chemistry & Willard H Dow Laboratory\, 930 University Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:MICDE Seminar Series
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GEO:42.2780183;-83.7370191
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160922T160000
DTEND;TZID=UTC:20160922T170000
DTSTAMP:20260607T060936
CREATED:20230905T171442Z
LAST-MODIFIED:20230905T171442Z
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SUMMARY:MICDE Seminar: Rob Gardner\, University of Chicago
DESCRIPTION:Bio: Robert Gardner is a Senior Scientist at the Computation Institute from the University of Chicago\,  and aSenior Scientist in the Enrico Fermi Institute. He spent his early academic career doing experimental high-energy physics research at different universities in the Midwest. He has been a member of the ATLAS experiment using the Large Hadron Collider at the CERN Laboratory\, Geneva\, Switzerland since 1998. His experimental work led him to specialize in developing and improving distributed computing technologies necessary for discoveries at the frontier of particle physics. He was instrumental in developing early research computing grids in the U.S.: the International Virtual Data Grid Laboratory (iVDGL)\, and the first deployment of the Open Science Grid (OSG) (NSF\, Department of Energy). He have also generated systems for metrics collection for distributed systems (Grid Telemetry\, PI\, NSF-ITR). Currently\, he directs the ATLAS Midwest Tier2 Center\, which is comprised of integrated computing facilities from the University of Chicago\, Indiana University\, and the University of Illinois. \nLeadership cyberinfrastructure for science and the humanities\nIn the past two decades high energy physics transformed its computing model from one relying on a single high performance computing center at the host laboratory to one incorporating resources distributed across institutional boundaries and geographic regions. Given the complexity of detectors and scale of data\, the international collaborations of the Large Hadron Collider at CERN demanded it. By removing barriers to resource sharing\, the resulting data and computation platform democratized the physics process across collaborations. Accelerated modes of scientific discovery by thousands of physicists were forged using hundreds of data centers linked by very high bandwidth networks. Meanwhile the explosion of commercial\, social and enterprise data has driven innovation in resource abstraction and the creation of new service platforms\, offering fresh opportunities to accelerate science and intellectual inquiry at all scales and across all domains. In this talk I’ll discuss the strategic significance that cyberinfrastructure technology plays in this regard and describe models for creating ubiquitous “substrates” that remove obstacles to connecting campuses\, facilities\, instruments and researchers. \nThis seminar is co-sponsored by the U-M department of Physics
URL:https://micde.umich.edu/event/micde-2016-fall-seminar-series-rob-gardner-university-of-chicago/
LOCATION:340 West Hall\, 1085 South University Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:MICDE Seminar Series
GEO:42.2757556;-83.7362041
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160921T170000
DTEND;TZID=UTC:20160921T180000
DTSTAMP:20260607T060936
CREATED:20230905T171442Z
LAST-MODIFIED:20230905T171442Z
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SUMMARY:Graduate Studies in Computational & Data Sciences Info Session - Central Campus
DESCRIPTION:Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided \n\nThe Ph.D. in Scientific Computing is open to all Ph.D. students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their studies. It is a joint degree program\, with students earning a Ph.D. from their current departments\, “… and Scientific Computing” — for example\, “Ph.D. in Aerospace Engineering and Scientific Computing.”\nThe Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan. This year we will offer a new practicum option through the Multidisciplinary Design Program.\nThe Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics:\n1) Modeling — Understanding of core data science principles\, assumptions and applications;\n2) Technology — Knowledge of basic protocols for data management\, processing\, computation\, information extraction\, and visualization;\n3) Practice — Hands-on experience with real data\, modeling tools\, and technology resources.
URL:https://micde.umich.edu/event/graduate-studies-in-computational-data-sciences-info-session-central-campus-2/
LOCATION:2001 LSA Building\, 500 State St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session
GEO:42.2761921;-83.7413068
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160919T170000
DTEND;TZID=UTC:20160919T180000
DTSTAMP:20260607T060936
CREATED:20230905T171442Z
LAST-MODIFIED:20230905T171442Z
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SUMMARY:Graduate Studies in Computational & Data Sciences Info Session - North Campus
DESCRIPTION:Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided \n\nThe Ph.D. in Scientific Computing is open to all Ph.D. students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their studies. It is a joint degree program\, with students earning a Ph.D. from their current departments\, “… and Scientific Computing” — for example\, “Ph.D. in Aerospace Engineering and Scientific Computing.”\nThe Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan. This year we will offer a new practicum option through the Multidisciplinary Design Program.\nThe Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics:\n1) Modeling — Understanding of core data science principles\, assumptions and applications;\n2) Technology — Knowledge of basic protocols for data management\, processing\, computation\, information extraction\, and visualization;\n3) Practice — Hands-on experience with real data\, modeling tools\, and technology resources.
URL:https://micde.umich.edu/event/graduate-studies-in-computational-data-sciences-info-session-north-campus-2/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Info Session
GEO:42.2914823;-83.7138452
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20160916T080000
DTEND;TZID=America/Detroit:20160916T190000
DTSTAMP:20260607T060936
CREATED:20230905T171442Z
LAST-MODIFIED:20230905T171442Z
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SUMMARY:Claude E. Shannon Centennial Symposium
DESCRIPTION:Claude E. Shannon was born in Petoskey\, MI and grew up in Gaylord\, MI. After graduating from the University of Michigan with degrees in electrical engineering and mathematics in 1936\, he went on to publish a series of papers that laid the foundation for modern information theory. The University of Michigan is celebrating the 100th birthday of Claude E. Shannon\, widely recognized as the father of information theory with a Shannon Centennial Symposium on Sept. 16\, 2016. \nThe symposium will consist of two poster sessions and four plenary talks by eminent leaders in the field of information theory. (Promotional poster can be downloaded here.) \nRegistration is required; to register and to sign up to participate in the poster session\, please fill out this form. \nSpace is limited\, so please register early! The deadline for poster submission is Sept. 9. Posters will be selected based on submitted title\, abstract and relevance to Shannon’s scientific contributions. \nPlenary speakers are: \n\nABBAS EL GAMAL\, STANFORD UNIVERSITY\nEMMANUEL CANDES\, STANFORD UNIVERSITY\nMICHELLE EFFROS\, CALIFORNIA INSTITUTE OF TECHNOLOGY\nROBERT CALDERBANK\, DUKE UNIVERSITY\n\n\n\n\n\n\n\nThe Shannon Centennial Celebration is supported by the U-M College of Engineering\, the ECE division of the U-M EECS Department\, the Michigan Institute for Data Science (MIDAS)\, and the IEEE Information Theory Society. \nThe co-organizers are Hye Won Chung\, Al Hero\, David Neuhoff and Sandeep Pradhan.
URL:https://micde.umich.edu/event/claude-e-shannon-centennial-symposium/
LOCATION:Rackham Building\, 4th Floor\, 915 E. Washington\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Seminar
GEO:42.2807892;-83.7381556
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building 4th Floor 915 E. Washington Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160913T161000
DTEND;TZID=UTC:20160913T170000
DTSTAMP:20260607T060936
CREATED:20230905T171442Z
LAST-MODIFIED:20230905T171442Z
UID:10000028-1473783000-1473786000@micde.umich.edu
SUMMARY:MICDE Seminar: Nathan Kutz\, University of Washington
DESCRIPTION:Bio: Nathan Kutz is the Robert Bolles and Yasuko Endo Professor in the department of Applied Mathematics\, and an adjunct professor of Electrical Engineering and Physics at the University of Washington. He was awarded the B.S. in Physics and Mathematics from the University of Washington in 1990 and the PhD in Applied Mathematics from Northwestern University in 1994. Following postdoctoral fellowships at the Institute for Mathematics and its Applications (University of Minnesota\, 1994-1995) and Princeton University (1995-1997)\, he joined the faculty of applied mathematics and served as Chair from 2007-2015. \nData-driven discovery of dynamical systems in the engineering\, physical and biological sciences\nWe demonstrate that the integration of data-driven dynamical systems and machine learning strategies with adaptive control are capable of producing efficient and optimal self-tuning algorithms for many complex systems arising in the engineering\, physical and biological sciences. We demonstrate that we can use emerging\, large-scale time-series data from modern sensors to directly construct\, in an adaptive manner\, governing equations\, even nonlinear dynamics\, that best model the system measured using sparsity-promoting techniques. Recent innovations also allow for handling multi-scale physics phenomenon and control protocols in an adaptive and robust way. The overall architecture is equation-free in that the dynamics and control protocols are discovered directly from data acquired from sensors. The theory developed is demonstrated on a number of example problems. Ultimately\, the method can be used to construct adaptive controllers which are capable of obtaining and maintaining optimal states while the machine learning and sparse sensing techniques characterize the system itself for rapid state identification and improved optimization. \nThis seminar is co-sponsored by the U-M Department of Mathematics.
URL:https://micde.umich.edu/event/micde-2016-fall-seminar-series-nathan-kutz-university-of-washington/
LOCATION:1360 East Hall\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2016/08/Nathan-Kutz.png
GEO:42.2757302;-83.7351764
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1360 East Hall 530 Church St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=530 Church St.:geo:-83.7351764,42.2757302
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20160906T083000
DTEND;TZID=America/Detroit:20160906T170000
DTSTAMP:20260607T060936
CREATED:20230905T171442Z
LAST-MODIFIED:20230905T171442Z
UID:10000020-1473150600-1473181200@micde.umich.edu
SUMMARY:Statistics: A Review
DESCRIPTION:A one-day\, intensive review of common statistical methods of design\, measurement analysis and presentation of scientific investigations.  The workshop is designed for any scholar engaged in quantitative research. Statistics: A Review discusses answers to the following questions: \n\nWhat should we measure?\nWhat are the main design types; what are the comparative advantages of each?\nHow are the sample sizes determined?\nWhat are the appropriate inference procedures?\nWhat do standard error\, p-value and confidence level mean?\nWhat are some dangers we need to avoid?\nHow should we display our results?\nWhat are the statistical software options?\n\n\n 
URL:https://micde.umich.edu/event/statistics-a-review/
LOCATION:Rackham Building\, West Conference Room\, Fourth Floor\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.2807892;-83.7381556
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building West Conference Room Fourth Floor 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160718T000000
DTEND;TZID=UTC:20160722T000000
DTSTAMP:20260607T060936
CREATED:20230905T171441Z
LAST-MODIFIED:20230905T171441Z
UID:10000001-1468800000-1469145600@micde.umich.edu
SUMMARY:MIDAS hosting Data Science Summer Camp for high school students
DESCRIPTION:The Michigan Institute for Data Science (MIDAS) is hosting a data science summer camp for juniors and seniors in high school\, from July 18 – 22\, 2016. Students in the camp\, titled “From Simple Building Blocks to Complex Shapes: A Visual Tour of Fourier Series” will create art\, diagnose disease\, and play detective using the Fourier Series. Students will learn the basic mathematics behind Fourier series and use them to tackle data science problems by starting with simple building blocks and scaling up the complexity. Click to watch our preview video. Any high school student can apply\, with a special focus on Juniors and Seniors. Interest in mathematics and art is strongly encouraged; experience with trigonometry recommended. The camp will be full day\, and attendance is expected all five days. Contact the organizers at midas-camp@umich.edu  or visit the camp’s website for more information.
URL:https://micde.umich.edu/event/midas-hosting-data-science-summer-camp-for-high-school-students/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20160627T090000
DTEND;TZID=America/Detroit:20160627T103000
DTSTAMP:20260607T060936
CREATED:20230905T171441Z
LAST-MODIFIED:20230905T171441Z
UID:10000026-1467018000-1467023400@micde.umich.edu
SUMMARY:Advanced Research Computing at Michigan — An Overview
DESCRIPTION:Brock Palen\, Associate Director of Advanced Research Computing – Technology Services\, will provide an overview of the resources available to researchers engaged in computationally intensive science on the University of Michigan campus. \nThe talk is open to researchers from any department at U-M. \nThe session will address: \n\nhigh performance computing services\ndata science services such as Hadoop and Spark\nresearch storage\ncloud services\nnetworking services\ngrant consultation and collaboration\naccess to off-campus resources.\n\nThere will be time for questions and answers after the presentation.
URL:https://micde.umich.edu/event/advanced-research-computing-at-michigan-an-overview/
LOCATION:Kahn Auditorium\, Biomedical Science Research Building\, 109 Zina Pitcher Pl.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Flux
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
GEO:42.2818273;-83.7345204
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Kahn Auditorium Biomedical Science Research Building 109 Zina Pitcher Pl. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=109 Zina Pitcher Pl.:geo:-83.7345204,42.2818273
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160614T110000
DTEND;TZID=UTC:20160617T170000
DTSTAMP:20260607T060936
CREATED:20230905T171441Z
LAST-MODIFIED:20260401T202001Z
UID:10000025-1465902000-1466182800@micde.umich.edu
SUMMARY:HPC Summer Bootcamp\, presented by XSEDE and the Pittsburgh Supercomputing Center
DESCRIPTION:University of Michigan Satellite Site is hosted by the SC2 \nPlease join us in this 4 day event to learn about hybrid computing including MPI\, OpenMP\, OpenACC and accelerators. \nThe event will conclude with a special hybrid exercise contest that will challenge the students to apply their skills over the following 3 weeks and be awarded the Third Annual XSEDE Summer Boot Camp Championship Trophy. The SC2 team is looking forward to this competition. It will be a fun way to learn about HPC and interact with us!
URL:https://micde.umich.edu/event/hpc-summer-bootcamp-presented-by-xsede-and-the-pittsburgh-supercomputing-center/
LOCATION:1180 Duderstadt Center\, 2281 Bonisteel Blvd\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.291072;-83.715734
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1180 Duderstadt Center 2281 Bonisteel Blvd Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=2281 Bonisteel Blvd:geo:-83.715734,42.291072
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160512T153000
DTEND;TZID=UTC:20160512T170000
DTSTAMP:20260607T060936
CREATED:20230905T171441Z
LAST-MODIFIED:20230905T171441Z
UID:10000024-1463067000-1463072400@micde.umich.edu
SUMMARY:CoE Endowed Professorship Recognition: Eric Michielssen\, The Future of Scientific Computing
DESCRIPTION:Abstract: \nFor decades\, high-end computer-aided simulations have helped researchers gain new insights into the nature of the physical world. But only relatively recently has computational science developed the ability to quantitatively predict the behavior of physical phenomena\, and taken its place next to theory and physical experimentation as the third pillar of scientific inquiry. In this talk\, I will explain the mathematical algorithms and computing hardware that fueled this transformation. I will also discuss what the future of scientific computing holds\, given the demise of Moore’s law\, using computational electromagnetics as an example. Finally\, I will argue that U-M is ideally positioned to become a national leader in research computing\, giving researchers in its 19 schools and colleges a competitive advantage in their pursuit of engineering\, scientific\, and medical discoveries. \nBio: \nEric Michielssen is Professor of Electrical Engineering and Computer Science and Associate Vice President for Advanced Research Computing. He was also the founding director of the Michigan Institute for Computational Discovery and Engineering (MICDE).  Eric is an international leader in the field of computational electromagnetics (CEM)\, which involves the development and application of computer algorithms to simulate the generation\, propagation\, and interaction of electromagnetic radiation with matter. He has applied his techniques to the characterization of semiconductor and microelectronic devices\, photonic crystals and optical phenomena\, aircraft scattering\, and terrain detection\, to name a few. \nProf. Michielssen’s research on fundamental algorithms is found in the codes and simulations of countless other researchers as well as commercially available simulators. His more than 500 journal and conference publications have been cited more than 10\,500 times\, with an h-index of 43.  Eric serves as Editor-in-Chief of the International Journal of Numerical Modeling\, and served on the National Academy’s Committee on Mathematical Foundations of Uncertainty Quantification\, Validation\, and Verification. He is an IEEE Fellow.
URL:https://micde.umich.edu/event/coe-endowed-professorship-recognition-eric-michielssen-the-future-of-scientific-computing/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Seminar
GEO:42.2914823;-83.7138452
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Johnson Rooms Lurie Engineering Center 3rd Floor 1221 Beal Ave. Ann Arbor MI United States;X-APPLE-RADIUS=500;X-TITLE=1221 Beal Ave.:geo:-83.7138452,42.2914823
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160505T153000
DTEND;TZID=UTC:20160505T170000
DTSTAMP:20260607T060936
CREATED:20230905T171441Z
LAST-MODIFIED:20230905T171441Z
UID:10000022-1462462200-1462467600@micde.umich.edu
SUMMARY:Biostatistics Seminar: Kenneth Lange\, Professor of Biomathematics\, Human Genetics and Statistics\, UCLA: "Next Generation Statistical Genetics"
DESCRIPTION:This talk will discuss how modern data mining techniques can be imported into statistical genetics. Most relevant models now invoke high-dimensional optimization. Penalization and set projection give sparsity. Separation of variables gives parallelization. Time permitting\, these ideas will be illustrated by several examples: estimation of ethnic ancestry\, genotype imputation via matrix completion\, conversion of imputed genotypes into haplotypes\, matrix completion discriminant analysis\, estimation in the linear mixed model\, iterative hard thresholding in GWAS\, and sparse principal components analysis.
URL:https://micde.umich.edu/event/biostatistics-seminar-kenneth-lange-professor-of-biomathematics-human-genetics-and-statistics-ucla-next-generation-statistical-genetics/
LOCATION:1690 SPH I\, 1415 Washington Heights\, Ann Arbor\, MI\, United States
GEO:42.2807993;-83.7303417
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1690 SPH I 1415 Washington Heights Ann Arbor MI United States;X-APPLE-RADIUS=500;X-TITLE=1415 Washington Heights:geo:-83.7303417,42.2807993
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160505T143000
DTEND;TZID=UTC:20160505T163000
DTSTAMP:20260607T060936
CREATED:20230905T171441Z
LAST-MODIFIED:20230905T171441Z
UID:10000021-1462458600-1462465800@micde.umich.edu
SUMMARY:Tutorial: Learning to use the Community Earth System Model on Flux
DESCRIPTION:If you are interested in learning how to operate the Community Earth System Model (CESM) global climate modeling system using U-M computing resources\, please attend this interactive tutorial.\nTopics:\n\n\nCompile CESM on the U-M computing cluster Flux\nRun a short (e.g.\, 1 day) global atmosphere simulation with CESM\nVisualize model output and compute global averages of key model states\nLearn how to implement a simple source code change\nGain pointers to online resources that can help with the customization of the model for unique research needs\nRSVP: Contact Prof. Flanner at flanner@umich.edu.
URL:https://micde.umich.edu/event/tutorial-learning-to-use-the-community-earth-system-model-on-flux/
LOCATION:Space Research Building Auditorium\, Room 2246\, 2455 Hayward St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Flux
GEO:42.2944115;-83.7113911
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Space Research Building Auditorium Room 2246 2455 Hayward St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=2455 Hayward St.:geo:-83.7113911,42.2944115
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20160505T090000
DTEND;TZID=America/Detroit:20160505T170000
DTSTAMP:20260607T060936
CREATED:20230905T171441Z
LAST-MODIFIED:20230905T171441Z
UID:10000002-1462438800-1462467600@micde.umich.edu
SUMMARY:Introduction to Survey Design: Data Collection\, Questionnaire Design and Response Processes-Lecture
DESCRIPTION:This lecture-format workshop will present an overview of available modes and methods of survey data collection as well as an introduction to the survey response process and implications for questionnaire design.  Participants will gain an appreciation of the tradeoffs inherent in survey design decisions and how design can affect data quality and survey errors. Topics will include: \n\nSurvey errors\, in particular measurement\, coverage\, and nonresponse error.\nWhat to consider when selecting a data collection method for a particular research question.\nMeasurement (response) error and how to reduce it through question wording/format and questionnaire structure.\n\nThe role of the interviewer and interviewer effects.
URL:https://micde.umich.edu/event/introduction-to-survey-design-data-collection-questionnaire-design-and-response-processes-lecture/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.2807892;-83.7381556
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
END:VCALENDAR