2020 Women+ Data Science Symposium

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The 2020 Women+ Data Science Symposium, jointly organized by the Michigan State University (MSU) and the University of Michigan (U-M) will take place on April 17 at MSU. The symposium…

CSCAR: Get your questions answered

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Consulting for Statistics, Computing and Analytics Research (CSCAR) provides individualized support and training to University of Michigan researchers in a variety of areas relating to the management, collection, and analysis…

New MOOC in Computational Thinking has launched

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The Michigan Institute for Computational Discovery & Engineering and the University of Michigan Center for Academic Innovation have partnered to launch a Massive Open Online Course (MOOC) titled Problem Solving using Computational…

2020 MIDAS Reproducibility Challenge

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The Michigan Institute for Data Science (MIDAS) is pleased to announce the 2020 Reproducibility Challenge.  Our goal is to highlight high-quality, reproducible work at the University of Michigan by collecting examples of…

April 13 @ 3:00 pm - 5:00 pm

Statistical analysis with missing data in Python

This session will be held online, and presenters will be in touch with more information after you register.   Missing data arise in many fields of research, and a large…

April 17 @ 9:00 am - 5:00 pm

Introduction to Survey Design: Data Collection, Questionnaire Design and Response Processes-Lecture

This session will be held online, and presenters will be in touch with more information after you register.   This lecture-format workshop will present an overview of available modes and…

April 20 @ 2:00 pm - 4:30 pm

Geostatistical Analysis with R

This session will be held online, and presenters will be in touch with more information after you register.   Geostatistical approach models spatially correlated continuous random phenomenon for robust estimation…

May 15 @ 1:00 pm - 4:30 pm

Spatial Point Process Modelling in R

Spatial point process models help us analyze the geometrical pattern of points (events) in space and find application in a variety of fields including image processing, public health, forestry, ecology,…

ARC Highlights

Year in Review

FY2018-2019 highlights

The Advanced Research Computing Year in Review report is now available to view or download. It outlines the progress in research, infrastructure and education fostered by ARC over the past year.

Lights of India visualization

Electricity in India

Many still live in darkness

U-M Assistant Professor of Political Science Brian Min is using the Flux high performance computing cluster to analyze thousands of satellite images showing the output of electric lights in India.

His Nightlights website shows satellite images collected over 20 years from more than 600,000 villages. Min’s research reveals that some local units of government have overstated their progress in electrification, and that political considerations play into which regions get electricity, among other things.

Read the U-M press release for more details.

Sharon Broude Geva

Sharon Broude Geva elected as chair of CASC


Sharon Broude Geva, the Director of Advanced Research Computing at the University of Michigan, has been elected chair of the Coalition for Academic Scientific Computation (CASC).

Founded in 1989, CASC advocates for the use of advanced computing technology to accelerate scientific discovery for national competitiveness, global security, and economic success. The organization’s members represent 84 institutions of higher education and national labs.

Read more…

Conflux visualization


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.

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.

RCS Fall of 2014 event

ARC Symposia and Cyberinfrastructure (CI) Days

ARC’s multidisciplinary research institutes, the Michigan Institute for Data Science (MIDAS) and the Michigan Institute for Computational Discovery and Engineering (MICDE), hold annual symposia bringing together like-minded researchers from across U-M and beyond.

ARC’s predecessor, the Office of Research Cyberinfrastructure or ORCI held annual Cyberinfrastructure (CI) Days events to bring the computational research community together, including prominent speakers and poster competitions:


  • Armis
    HIPAA-aligned HPC cluster
    ARC-TS established a HIPAA-aligned cluster in early 2016
  • 4,000+
    Current ARC-TS HPC users
  • 27,000+
    Number of HPC processors in ARC-TS computing resources
  • 4,000,000+
    HPC jobs completed, FY18-19
  • 90,000,000+
    CPU hours used, FY18-19