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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180913T090000
DTEND;TZID=America/Detroit:20180913T140000
DTSTAMP:20230905T171420Z
CREATED:20230905T171420Z
LAST-MODIFIED:20230905T171420Z
UID:10000149-1536829200-1536847200@micde.umich.edu
SUMMARY:Data-Intensive Social Science Challenge Symposium
DESCRIPTION:Data-intensive social science is one of the research focus areas that MIDAS supports with its Challenge Awards. Our long-term goal is to support this research area more broadly\, using the Challenge Award projects as the starting point to build a critical mass. This symposium offers a platform for all participants to explore collaboration opportunities and aims to attract more researchers to our hub. The two Challenge Award teams will give in-depth presentations\, and all participants are encouraged to submit posters on research related to data-intensive social science. \nRegistration | Poster submission form (Due Monday\, Sept. 10) \nPreliminary Schedule: \n9 am: Introduction \n9:05 am to 11:35 pm: Challenge Award presentations \n\nComputational Approaches for the Construction of Macroeconomic Data\, Matthew Shapiro and team\nA Social Science Collaboration for Research on Communication and Learning Based upon Big Data\, Michael Traugott and the UM-Georgetown team\n\n11:35 am to 1 pm: lunch\, poster session and networking (Please fill out this form to submit a poster; deadline is Monday\, September 10) \n1 to 2 pm: Panel discussion: the future of data-intensive social science research at U-M \n\nMartha Bailey\, Professor\, Economics\, University of Michigan\nSara Heller\, Assistant Professor\, Economics\, University of Michigan\nMatt Shapiro\, Professor\, Economics\, University of Michigan\nLisa Singh\, Professor\, Computer Science\, Georgetown University\nMike Traugott\, Professor Emeritus\, Communication Studies\, Political Science\, University of Michigan
URL:https://micde.umich.edu/event/data-intensive-social-science-challenge-symposium/
LOCATION:Weiser Hall\, 10th Floor\, 500 Church Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Conference
GEO:42.2765179;-83.7350438
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Weiser Hall 10th Floor 500 Church Street Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=500 Church Street:geo:-83.7350438,42.2765179
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171201T083000
DTEND;TZID=America/Detroit:20171201T173000
DTSTAMP:20230905T171416Z
CREATED:20230905T171416Z
LAST-MODIFIED:20230905T171416Z
UID:10000105-1512117000-1512149400@micde.umich.edu
SUMMARY:2017 U-M Data Science Research Forum
DESCRIPTION:Forum Highlights \n\nOral and poster presentations on\n\nTheoretical foundations of data science\nData science methodology\nData science applications in any research domain\nSocial impact of data science research\n\n\n\n\nHow to engage industry workshop\n\nAdrian Fortino\, Partner (Mercury Fund)\nMike Psarouthakis\, Director (U-M Venture Center)\nKevyn Collins-Thompson\, Associate Professor\, U-M School of Information\nMike Cafarella\, Associate Professor\, U-M Computer Science Engineering\n\n\n\n\nKeynote by Chris Rozell\n\n\nNetworking Reception\n\nAll presentations will come from submissions in response to our call for abstracts\n Abstract Submission Deadline: October 23\, 2017\n We welcome submission from all U-M data science researchers (faculty\, staff\, trainees) \nPlease register for this event.  Please also see the call for abstracts for instruction\, and submit through the Abstract Submission Form. \nPreliminary Schedule
URL:https://micde.umich.edu/event/data-science-research-forum/
LOCATION:Michigan League\, 911 N. University\, Ann Arbor\, MI\, 48104\, United States
CATEGORIES:Conference,Data Science,Seminar
GEO:42.2796269;-83.7374973
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Michigan League 911 N. University Ann Arbor MI 48104 United States;X-APPLE-RADIUS=500;X-TITLE=911 N. University:geo:-83.7374973,42.2796269
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20170925T170000
DTEND;TZID=UTC:20170925T180000
DTSTAMP:20230905T171439Z
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000055-1506358800-1506362400@micde.umich.edu
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.\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-f2017/
LOCATION:2001 LSA Building\, 500 State St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session
GEO:42.2761921;-83.7413068
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=2001 LSA Building 500 State St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=500 State St.:geo:-83.7413068,42.2761921
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170922T170000
DTEND;TZID=America/Detroit:20170922T180000
DTSTAMP:20230905T171439Z
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000103-1506099600-1506103200@micde.umich.edu
SUMMARY:MIDAS Seminar: Jimmy Soni & Rob Goodman\, authors of "A Mind at Play: How Claude Shannon Invented the Information Age"
DESCRIPTION:Authors Jimmy Soni and Rob Goodman will talk about their new book on U-M alum Claude Shannon: “A Mind at Play: How Claude Shannon Invented the Information Age.” \nThe talk will be followed by a book signing. \nJimmy Soni is an author and editor. He has worked as an editor at The New York Observer and The Washington Examiner. He has worked as a speechwriter\, and his writing and commentary have appeared in Slate\, The Atlantic\, and CNN. He is a graduate of Duke University and was named to the Forbes 30 Under 30. With Rob Goodman\, he is the coauthor of Rome’s Last Citizen: The Life and Legacy of Cato\, Mortal Enemy of Caesar and A Mind at Play: How Claude Shannon Invented the Information Age. \nRob Goodman is a doctoral candidate at Columbia University and a former congressional speechwriter. He has written for Slate\, The Atlantic\, Politico Magazine\, and The Chronicle of Higher Education. His scholarly work has appeared in History of Political Thought\, the Kennedy Institute of Ethics Journal\, and The Journal of Medicine and Philosophy. With Jimmy Soni\, he is the coauthor of Rome’s Last Citizen: The Life and Legacy of Cato\, Mortal Enemy of Caesar and A Mind at Play: How Claude Shannon Invented the Information Age.
URL:https://micde.umich.edu/event/midas-seminar-jimmy-soni-rob-goodman-authors-of-a-mind-at-play-how-claude-shannon-invented-the-information-age/
LOCATION:Rackham Building\, 4th Floor\, 915 E. Washington\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:MIDAS Seminar Series
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:20170921T170000
DTEND;TZID=UTC:20170921T180000
DTSTAMP:20230905T171439Z
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000056-1506013200-1506016800@micde.umich.edu
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.\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-2017f/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Info Session
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=America/Detroit:20170424T110000
DTEND;TZID=America/Detroit:20170424T130000
DTSTAMP:20230905T171438Z
CREATED:20230905T171438Z
LAST-MODIFIED:20230905T171438Z
UID:10000081-1493031600-1493038800@micde.umich.edu
SUMMARY:MIDAS Working Group on NSF solicitation for Big Data Spokes
DESCRIPTION:This working group is organized by MIDAS to respond to the NSF Big Data Spokes funding solicitation (BD Spokes).   \nAgenda: \n\nA brief presentation about the funding opportunity and the background of the regional BD Hubs (Midwest\, Northeast\, South and West) and existing Spokes\nDiscussion of ideas of new Spokes and forming collaborative teams (within and outside of UM)\nDiscussion on aligning and working with regional BD hubs\n\nThe BD Spokes will work with regional BD hubs and existing spokes to accelerate progress towards societal grand challenges in regional and national priority areas\, help automate the Big Data lifecycle\, enable access to and increase the use of important data sets\, and contribute to education and training.  The focus areas specified by NSF include: Education; Data Intensive Research in the Social\, Behavioral\, and Economic Sciences; Data-driven Research in Chemistry; Neuroscience; Data Analytics for Security; Replicability and Reproducibility in Data Science.  All researchers interested in proposing or collaborating on new BD Spokes are welcome to our working group. \nImportant Dates: \n\nMay 17\, 2017: University of Michigan internal deadline for declaring intent.  NSF allows only one proposal from each university as the lead institution\n\n\nSept. 18\, 2017: full proposal due to NSF\n\nPlease RSVP.  For questions\, please contact Jing Liu\, MIDAS research specialist (ljing@umich.edu; 734-764-2750).  
URL:https://micde.umich.edu/event/midas-working-group-on-nsf-solicitation-for-big-data-spokes/
LOCATION:MIDAS – SPH I\, Suite 7625\, 1415 Washington Heights\, Ann Arbor\, MI\, 48109-2029\, United States
CATEGORIES:Data Science,Workshops
GEO:42.2804938;-83.7300222
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=MIDAS – SPH I Suite 7625 1415 Washington Heights Ann Arbor MI 48109-2029 United States;X-APPLE-RADIUS=500;X-TITLE=1415 Washington Heights:geo:-83.7300222,42.2804938
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170203T083000
DTEND;TZID=America/Detroit:20170203T170000
DTSTAMP:20230905T171441Z
CREATED:20230905T171441Z
LAST-MODIFIED:20230905T171441Z
UID:10000069-1486110600-1486141200@micde.umich.edu
SUMMARY:Women in Data Science
DESCRIPTION:In partnership with Stanford University\, MIDAS will participate in the 2017 Women in Data Science conference\, with live speakers on campus and a simulcast of the conference proceedings from Stanford. \nSpeakers at U-M are: \n\nAmy Cohn\, Associate Professor\, Industrial and Operational Engineering\, Center for Healthcare Engineering and Patient Safety\, U-M\nStephanie Teasley\, Research Professor\, School of Information\, Learning Education and Design Lab\, U-M\nYi Lu Murphey\, Associate Dean for Graduate Education and Research\, Professor of Electrical and Computer Engineering\, U-M Dearborn\nYao Xie\, Assistant Professor\, Industrial and Systems Engineering\, Georgia Institute of Technology\, U-M\nModerator: Anna Gilbert\, Professor\, Mathematics\, Electrical Engineering and Computer Science\, U-M
URL:https://micde.umich.edu/event/women-in-data-science/
LOCATION:Michigan League\, 530 South State Street\, Ann Arbor\, MI\, 48109\, United States
GEO:42.2752282;-83.7415149
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Michigan League 530 South State Street Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=530 South State Street:geo:-83.7415149,42.2752282
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20170111T170000
DTEND;TZID=UTC:20170111T180000
DTSTAMP:20230905T171439Z
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000045-1484154000-1484157600@micde.umich.edu
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.\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/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Info Session
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:20170109T170000
DTEND;TZID=UTC:20170109T180000
DTSTAMP:20230905T171440Z
CREATED:20230905T171440Z
LAST-MODIFIED:20230905T171440Z
UID:10000031-1483981200-1483984800@micde.umich.edu
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.\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/
LOCATION:2001 LSA Building\, 500 State St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session
GEO:42.2761921;-83.7413068
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=2001 LSA Building 500 State St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=500 State St.:geo:-83.7413068,42.2761921
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160921T170000
DTEND;TZID=UTC:20160921T180000
DTSTAMP:20230905T171442Z
CREATED:20230905T171442Z
LAST-MODIFIED:20230905T171442Z
UID:10000050-1474477200-1474480800@micde.umich.edu
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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=2001 LSA Building 500 State St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=500 State St.:geo:-83.7413068,42.2761921
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160919T170000
DTEND;TZID=UTC:20160919T180000
DTSTAMP:20230905T171442Z
CREATED:20230905T171442Z
LAST-MODIFIED:20230905T171442Z
UID:10000051-1474304400-1474308000@micde.umich.edu
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
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=America/Detroit:20160916T080000
DTEND;TZID=America/Detroit:20160916T190000
DTSTAMP:20230905T171442Z
CREATED:20230905T171442Z
LAST-MODIFIED:20230905T171442Z
UID:10000027-1474012800-1474052400@micde.umich.edu
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
END:VCALENDAR