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Michigan Institute for Data Science

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Graduate Studies in Computational & Data Sciences Info Session – Central Campus

2001 LSA Building 500 State St., Ann Arbor, MI, United States

Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided The 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 […]

Graduate Studies in Computational & Data Sciences Info Session – Central Campus

2001 LSA Building 500 State St., Ann Arbor, MI, United States

Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided The 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 […]

Graduate Studies in Computational & Data Sciences Info Session – North Campus

Johnson Rooms, Lurie Engineering Center, 3rd Floor 1221 Beal Ave., Ann Arbor, MI, United States

Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided The 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 […]

Women in Data Science

Michigan League 530 South State Street, Ann Arbor, MI, United States

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. Speakers at U-M are: Amy Cohn, Associate Professor, Industrial and Operational Engineering, Center for Healthcare Engineering and Patient Safety, U-M Stephanie Teasley, Research Professor, School […]

MIDAS Working Group on NSF solicitation for Big Data Spokes

MIDAS - SPH I, Suite 7625 1415 Washington Heights, Ann Arbor, MI, United States

This working group is organized by MIDAS to respond to the NSF Big Data Spokes funding solicitation (BD Spokes).   Agenda: A brief presentation about the funding opportunity and the background of the regional BD Hubs (Midwest, Northeast, South and West) and existing Spokes Discussion of ideas of new Spokes and forming collaborative teams (within […]

Graduate Studies in Computational & Data Sciences Info Session – North Campus

Johnson Rooms, Lurie Engineering Center, 3rd Floor 1221 Beal Ave., Ann Arbor, MI, United States

Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided The 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 […]

MIDAS Seminar: Jimmy Soni & Rob Goodman, authors of “A Mind at Play: How Claude Shannon Invented the Information Age”

Rackham Building, 4th Floor 915 E. Washington, Ann Arbor, MI, United States

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." The talk will be followed by a book signing. Jimmy Soni is an author and editor. He has worked as an editor at The New York Observer and The Washington Examiner. He […]

Graduate Studies in Computational & Data Sciences Info Session – Central Campus

2001 LSA Building 500 State St., Ann Arbor, MI, United States

Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided The 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 […]

2017 U-M Data Science Research Forum

Michigan League 911 N. University, Ann Arbor, MI, United States

Forum Highlights Oral and poster presentations on Theoretical foundations of data science Data science methodology Data science applications in any research domain Social impact of data science research How to engage industry workshop Adrian Fortino, Partner (Mercury Fund) Mike Psarouthakis, Director (U-M Venture Center) Kevyn Collins-Thompson, Associate Professor, U-M School of Information Mike Cafarella, Associate Professor, […]

Data-Intensive Social Science Challenge Symposium

Weiser Hall, 10th Floor 500 Church Street, Ann Arbor, MI, United States

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 […]