A new partnership between the University of Michigan and Cavium Inc., a San Jose-based provider of semiconductor products, will create a powerful new Big Data computing cluster available to all U-M researchers. The $3.5 million ThunderX computing cluster will enable U-M researchers to, for example, process massive amounts of data generated by remote sensors in distributed manufacturing environments, or by… Read More »
H.V. Jagadish, professor of electrical engineering and computer science in the College of Engineering and a distinguished scientist at the Michigan Institute for Data Science, was one of seven U-M faculty members among 396 newly elected fellows of the American Association for the Advancement of Science. The association recognized Jagadish for distinguished contributions to database systems and many… Read More »
Researchers, hospitals, companies, consumers, and government agencies are drowning in data that they can’t fully capitalize on. Now, a team from U-M has received $1.6 million from the Defense Advanced Research Projects Agency to help develop a toolkit so that even non-data scientists can use that data to possibly answer questions and ultimately speed up the process of… Read More »
An army of U-M scientists and engineers is part of an effort, known broadly as precision health, that aims to help doctors customize treatments to individual patients’ genetic makeup, lifestyle, and risk factors, and predict outcomes with significantly higher accuracy. One major branch of precision health is the development of big-data tools to customize treatments. Experts envision a… Read More »
Consulting for Statistics, Computing and Analytics Research (CSCAR) provides consulting services and training opportunities in statistics, data science, and advanced research computation to researchers across campus, regardless of skill level or academic background. All members of the campus community interested in making more effective use of data analytic techniques, or in developing their skills in these areas are… Read More »
As the landscape for research and high performance computing keeps growing, ITS support is critical to the success of the university’s data intensive research efforts. The demand for compute, storage, and faster network connectivity has challenged ITS to evaluate its data center strategy in a more holistic way. Rather than incur the high costs of a brick and… Read More »
Advanced Research Computing at U-M (ARC) will host an information session for graduate students in all disciplines who are interested in new computing and data science resources and services available to U-M researchers. Brief presentations from members of ARC Technology Services (ARC-TS) on computing infrastructure, and from Consulting for Statistics, Computing, and Analytics Research (CSCAR) on statistics, data… Read More »
Association of American University members want more institutions to follow U-M’s example when it comes data transparency of their Ph.D. programs. U-M makes publicly available data on admissions, enrollment, funding, time to degree completion and completion rates, along with the results of a basic doctoral exit survey and job placement information. Chief academic officers representing AAU campuses at their annual… Read More »
Please join the Michigan Institute for Data Science (MIDAS) for our annual symposium on Wednesday, October 11, titled “A Data-Driven World: Potentials and Pitfalls.” We’re welcoming an exciting group of speakers to Ann Arbor this year, including several eminent women working in the field of data science. The keynote address will be delivered by Cathy O’Neil, author of… Read More »
Starting with Tableau 10.5 this fall, new versions of Tableau will only run on 64-bit operating systems. The upcoming release, Tableau 10.4, will be the last version of Tableau Desktop, Tableau Reader, and Tableau Public to support 32-bit Windows operating systems. (Mac users will be unaffected by this change.) Focusing on 64-bit operating system will allow faster new… Read More »
A new UM-Dearborn graduate program will teach students how to effectively process, analyze, and use massive data collections. The 30-credit-hour Master of Science in Data Science degree teaches students how to locate relevant data, clean it, manage it, analyze it, interpret it and use insights drawn from it. Housed in the College of Engineering and Computer Science (CECS)… Read More »
Five research teams from U-M and Shanghai Jiao Tong University in China are sharing $1 million to study data science and its impact on air quality, galaxy clusters, lightweight metals, financial trading and renewable energy. Since 2009, the two universities have collaborated on a number of research projects that address challenges and opportunities in energy, biomedicine, nanotechnology, and… Read More »
An expanded data science computing platform from ARC-TS gives all U-M researchers new capabilities to host structured and unstructured databases, and to ingest, store, query, and analyze large datasets.
Information Quest and the Office of Budget and Planning have partnered and launched two new dashboards this fiscal year: University Metrics and Michigan Metrics.
John Cheney-Lippold, assistant professor of American culture at U-M and author of the book We Are Data: Algorithms and the Making of Our Digital Selves, helps explain the difference between data that is trying to sell you a product, and data that truly knows who you are as a person. “I think we should take the idea of U.S. privacy… Read More »
A research team in U-M’s Mcity Michigan Traffic Lab led by Professor Henry Liu has developed an augmented reality (AR) system that enables engineers and researchers to evaluate challenging and dangerous scenarios in a safe environment. The traffic lab controls all of the signalling and tracks the vehicles on the facility. It collects and archives data from those… Read More »
U-M College of Engineering is creating custom, analytical applications to help administrators leverage the vast amounts of information available in U-M enterprise systems.
A new and improved API Directory will provide a rich repository for developers, researchers, and others to conveniently and securely use institutional data.
Using Tableau Software’s visual analytics capabilities, the Analytics and Business Intelligence Team (ABI) helps Michigan Medicine units gain new insight from their data. (Formerly known as Fast Analytics, ABI is part of Health Information Technology & Services, HITS). Kelly Miller, application programmer/analyst with ABI, describes the basics of ABI and Tableau like this: “Imagine you have a pickup… Read More »
A cardiologist created a computer simulation of a patient’s blood flow, helping surgeons locate the best placement of a stent to address her rare heart condition. Students and faculty developed a mobile app that helps predict which Flint neighborhoods are at high risk of having lead-contaminated water. And an engineer is using predictive models based on high volumes… Read More »