The Michigan Institute for Computational Discovery and Engineering (MICDE) focuses on the development and innovative use of mathematical algorithms and models on high performance computers (HPC) to support basic and applied research and development across a wide spectrum of disciplines in science and engineering.

WHAT’S NEW

SC2 presents the 2017 NVIDIA Visualization Challenge

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The Scientific Computing Student Club (SC2) and NVIDIA are presenting a Visualization Challenge, with prizes including two NVIDIA and sponsorship to enter present your results at the Scientific Visualization Showcase at Supercomputing…

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Michigan Biological Software Team to compete at iGEM with MICDE support

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MICDE is pleased to announce its support of the Michigan Biological Software Team (MiBioSoft), for its attendance at the 2017 International Genetically Engineered Machine (iGEM) competition in Boston. Founded in 2014,…

MIDAS announces second round of Data Science Challenge Initiative awards, in health and social science

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Five research projects — three in health and two in social science — have been awarded funding in the second round of the Michigan Institute for Data Science Challenge Initiative…

MIDAS to host faculty meeting on NSF BIGDATA solicitation

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The Michigan Institute for Data Science (MIDAS) will hold a faculty meeting at noon on Thursday, January 19 (Suite 7625, School of Public Health I, 1415 Washington Heights) for the NSF 17-534 “Critical Techniques, Technologies…

  • For: Faculty

    NSF Software Infrastructure for Sustained Innovation (SSE, SSI, S2I2)

    Full Proposal deadline 3/7/17 Learn more
  • For: Faculty

    NSF STEM + Computing Partnerships

    Full Proposal deadline 3/29/17 Learn more
  • For: Faculty

    NSF Computational and Data-Enabled Science and Engineering (CDS&E) – Engineering’s Division of Civil, Mechanical and Manufacturing Innovation

    Full Proposal deadline 9/15/17 Learn more
  • For: Faculty

    NSF Computational and Data-Enabled Science and Engineering (CDS&E) – Chemistry – Chemical Theory, Models and Computational Methods

    Full Proposal deadline 10/2/17 Learn more

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MICDE Highlights

Data visualization

ConFlux

Combining Big Data and HPC

A new way of computing could lead to immediate advances in aerodynamics, climate science, cosmology, materials science and cardiovascular research.

The National Science Foundation will provide $2.42 million to develop a unique facility for refining complex, physics-based computer models with big data techniques at the University of Michigan. The university will provide an additional $1.04 million.

See the grant description and press release for more information.

Monica Valluri wins U-M Research Faculty Achievement Award

Monica Valluri, a Research Associate Professor in the Department of Astronomy, has been honored with the U-M Research Faculty Achievement Award for her outstanding research and teaching career in theoretical galaxy dynamics. She uses numerical calculations and simulations to probe galactic phenomena, including supermassive black holes and dark matter halos,two types of invisible matter whose presence is inferred primarily from their gravitational effects on stars and other visible matter. Read more…

Paul Zimmerman, Michael Cafarella and Honglak Lee named 2016 Sloan Fellows

MICDE faculty members Paul Zimmerman (Chemistry) and Michael Cafarella (Computer Science), and MIDAS faculty member Honglak Lee (Computer Science) have been awarded 2016 Sloan Research Fellowships, which seeks to stimulate fundamental research by early-career scientists and scholars of outstanding promise.

Prof. Zimmerman’s research group develops and employs a broad spectrum of computational techniques to chemical problems.

Prof. Cafarella is a co-creator of Hadoop, the data processing system behind Yahoo, Twitter, and Facebook.

Prof. Lee’s research lies in machine learning and its applications to artificial intelligence.

For more information about the award see the press release.

Animation of reducing the bottleneck effect

$5 million to widen ‘bottleneck to discovery’

An NSF grant will create a software-defined network between three Michigan universities

Buried in troves of data that scientists have gathered, but not yet analyzed, could be key insights to improving cancer treatment, understanding Alzheimer’s, predicting climate change effects and developing cheaper, clean energy technologies.

Those are just a few of the countless examples of fields where our capacity to gather scientific data now far exceeds our capacity to crunch it—especially when collaborations span the globe. Some research projects are producing the equivalent of 1,000 consumer hard drives a month, for example. Read more.

Featured Faculty Member


Jablonowski Christiane Jablonowski
Associate Professor

Christiane Jablonowski is an Associate Professor in the Department of Climate and Space Sciences and Engineering. Her research is highly interdisciplinary and combines atmospheric science, applied mathematics, computational science and…