The MIDAS Graduate Certificate in Data Science was established in 2015 to offer students a way to enhance their skills and prepare for a workforce that values multidisciplinary knowledge, broad…
The new Data Acquisition for Data Science (DADS) program supports acquisition, preparation, management, and maintenance of specialized research data sets used in current and future data science-enabled research projects across…
CSCAR (Consulting for Statistics, Computing and Analytics Research) is offering expanded support for geospatial analysis and geographic information systems (GIS), effective immediately. Researchers seeking guidance in this area are encouraged…
CONTACT: Dan Meisler, ARC Communications Manager, 734-764-7414, dmeisler@umich.edu A strategic partnership between the University of Michigan and software company Yottabyte promises to unleash a new wave of data-intensive research by…
Latest Twetter Feeds
TODAY - Claude Shannon Centennial Speaker and MIDAS Seminar Series: Â Rebecca Willett, PhD. ... - https://t.co/hF1sPDeiCJ
MIDAS Seminar Series: Â Rebecca Willett, PhD. || Friday September 23rd, 2016 at 4pm in Rackham Amphitheatre - https://t.co/7nu1m9wIn7
September 29 @ 8:30 am - 3:30 pm
R is a free and open source environment for data analysis and statistical computing. While R contains many built-in statistical procedures, a powerful feature of R is the facility for…
September 29 @ 4:00 pm - 5:00 pm
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…
October 6 @ 4:10 pm - 5:00 pm
Bio: Jonathan Freund is the Donald Biggar Willet Professor of Mechanical Science and Engineering and of Aerospace Engineering at the University of Illinois, Urbana-Champaign. He is the co-director of the…
October 14 @ 3:10 pm - 4:00 pm
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…
ARC Highlights
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.
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.
U-M featured on CASC brochure
An image from the lab of Prof. Joaquim Martins, Aerospace Engineering, is featured on the cover of the 2016 brochure of the Coalition for Academic Scientific Computation (CASC). U-M researchers Alberto Figueroa (Surgery and Biomedical Engineering) and Venkat Raman (Aerospace Engineering) are also included in the report, which highlights notable computational research from the past year.
CASC is an 85-member non-profit group advocating for the use of the most advanced computing technology to accelerate scientific discovery for national competitiveness, global security, and economic success, as well as development of a diverse and well-prepared 21st century workforce
$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.
Cyberinfrastructure (CI) Days
ARC and its predecessor ORCI held annual Cyberinfrastructure (CI) Days events to bring the computational research community together, including prominent speakers and poster competitions. For information, or to view videos and posters, see below:
CI Days evolved into the annual symposium put on by the Michigan Institute for Data Science (MIDAS) and the Michigan Institute for Computational Discovery and Engineering (MICDE).
