ANN ARBOR, MI and LONDON — The Michigan Institute of Data Science (MIDAS) at the University of Michigan and the Centre for Data Science and Big Data Institute at UCL…
A series of training workshops in high performance computing will be hed Jan. 31 through Feb. 22, 2017, presented by CSCAR in conjunction with Advanced Research Computing – Technology Services (ARC-TS). All…
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…
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…
Latest Twetter Feeds
Finally tried using Jupyter Notebook to make slides. Feel I've been slow to catch up on this one. Try it yourself. https://t.co/cqJeym2E70
TODAY - MIDAS Seminar Series: Jose Perea, PhD || 2/24/2017, 4pm, Gerald R. Ford Presidential Library - https://t.co/sWCPF9WmQR
April 18 @ 9:00 am - 5:00 pm
Save the date for MICDE’s annual research symposium: “The New Era of Data-Enabled Computational Science”. Confirmed speakers include: Frederica Darema — Director, Air Force Office of Scientific Research George Karniadakis — Professor of…
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.
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.
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: