Three winners of the Michigan Institute for Computational Discovery and Engineering (MICDE) Poster Competition, held at the MICDE Annual Symposium, were announced April 7, 2016. They are: First place – Elizabeth Hou,…
The second round of the Michigan Institute for Data Science (MIDAS) Challenge Initiatives is open, with the deadline for initial funding submissions on June 30. MIDAS is seeking proposals in…
A Software Carpentry workshop will be held at the U-M Medical School May 2 and 3. These workshops are free and open to anyone on campus; the sessions are suitable for researchers in the…
HOOMD-blue, a University of Michigan-produced software package for particle simulation, was chosen as one of seven benchmark applications to demonstrate the speed of NVIDIA’s new Tesla P100 GPU. HOOMD-blue was developed…
Latest Twetter Feeds
U-M, SJTU symposium: Data Sciences for Sustaining Critical Infrastructures for Environment & Human Health 4/21 https://t.co/gxUGv6segy
May 3 @ 8:30 am - 5:00 pm
A one-day, intensive review of common statistical methods of design, measurement analysis and presentation of scientific investigations. The workshop is designed for any scholar engaged in quantitative research. Statistics: A…
May 5 @ 9:00 am - 5:00 pm
This lecture-format workshop will present an overview of available modes and methods of survey data collection as well as an introduction to the survey response process and implications for questionnaire…
May 5 @ 2:30 pm - 4:30 pm
If you are interested in learning how to operate the Community Earth System Model (CESM) global climate modeling system using U-M computing resources, please attend this interactive tutorial.
May 5 @ 3:30 pm - 5:00 pm
This talk will discuss how modern data mining techniques can be imported into statistical genetics. Most relevant models now invoke high-dimensional optimization. Penalization and set projection give sparsity. Separation of variables gives parallelization….
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.
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
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.
Second round of MIDAS grants open
Social Science and Health Science
The second round of the Michigan Institute for Data Science (MIDAS) Challenge Thrust Awards is open. Up to two grants will be awarded in each area: Social Science and Health Science.
Requests for proposals can be found on the MIDAS website. White papers are due June 30.
$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: