High-resolution satellite data from NASA’s Orbiting Carbon Observatory-2 are revealing the subtle ways that carbon links everything on Earth – the ocean, land, atmosphere, terrestrial ecosystems and human activities….
More than 50 students took part in the Student Poster Competition during the 3rd Annual MIDAS Symposium. The winning entries can be viewed at http://midas.umich.edu/2017-symposium/winning-posters/
The University of Michigan Library system and the Data Acquisition for Data Sciences program (DADS) of the U-M Data Science Initiative (DSI) have recently joined forces to license a major…
Asst. Prof. Emanuel Gull, Physics, is offering a mini-course introducing the Python programming language in a four-lecture series. Beginners without any programming experience as well as programmers who usually use other languages (C, C++,…
Latest Twetter Feeds
Teaching my student about API keys 🔑Here's @googleapis best practices for securely using them. https://t.co/GBhoysnb1E
Manish Verma of CSCAR contributed to NASA findings on atmospheric carbon recently published in Science: https://t.co/CRCnfIWkPE
@nadyabliss @mathbabedotorg @daniela_witten @jwpennebaker @asu_gsi @ASUResearch @francescadomin8 It was terrific to have you here!
December 1 @ 8:30 am - 5:30 pm
Forum Highlights Oral and poster presentations on Theoretical foundations of data science Data science methodology Data science applications in any research domain Social impact of data science research How to…
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).
