U-M students invited to apply for MICDE fellowships — May 19 deadline

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University of Michigan students are invited to apply for Michigan Institute for Computational Discovery and Engineering (MICDE) Fellowships for the 2017-2018 academic year. These $4,000 fellowships are available to students in both the Ph.D in Scientific Computing and the Graduate Certificate Program in Computational Discovery and Engineering. Applicants should be graduate students enrolled in either program, although students not yet enrolled but planning to do so may simultaneously submit program and fellowship applications.

Fellows will receive a $4,000 research fund that can be used to attend a conference, to buy a computer, or for any other approved activity that enhances the Fellow’s graduate experience. We also ask that Fellows attend at least 8 MICDE seminars between Fall 2017 and Winter 2018, attend one MICDE students’ networking event, and present a poster at the MICDE Symposium on March 22, 2018. For more details and to apply please visit http://micde.umich.edu/academic-programs/micde-fellowships/.

Interested students should download and complete the application form, and submit it with a one-page resume as a SINGLE PDF DOCUMENT to MICDE-apps@umich.edu. The due date for applications is May 19, 2017, 5:00 E.T. We expect to announce the awardees onJune 5, 2017.

We encourage applications from all qualified candidates, including women and minorities.

MIDAS starting research group on mobile sensor analytics

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The Michigan Institute for Data Science (MIDAS) is convening a research working group on mobile sensor analytics. Mobile sensors are taking on an increasing presence in our lives. Wearable devices allow for physiological and cognitive monitoring, and behavior modeling for health maintenance, exercise, sports, and entertainment. Sensors in vehicles measure vehicle kinematics, record driver behavior, and increase perimeter awareness. Mobile sensors are becoming essential in areas such as environmental monitoring and epidemiological tracking.

There are significant data science opportunities for theory and application in mobile sensor analytics, including real-time data collection, streaming data analysis, active on-line learning, mobile sensor networks, and energy efficient mobile computing.

Our working group welcomes researchers with interest in mobile sensor analytics in any scientific domain, including but not limited to health, transportation, smart cities, ecology and the environment.

Where and When:

Noon to 2 pm, April 13, 2017

School of Public Health I, Room 7625

Lunch provided

Agenda:

  • Brief presentations about challenges and opportunities in mobile sensor analytics (theory and application);

  • A brief presentation of a list of funding opportunities;

  • Discussion of research ideas and collaboration in the context of grant application and industry partnership.

Future Plans: Based on the interest of participants, MIDAS will alert researchers to relevant funding opportunities, hold follow-up meetings for continued discussion and team formation as ideas crystalize for grant applications, and work with the UM Business Engagement Center to bring in industry partnership.

Please RSVP.  For questions, please contact Jing Liu, Ph.D, MIDAS research specialist (ljing@umich.edu; 734-764-2750).

Workshop co-chaired by MIDAS co-director Prof. Hero releases proceedings on inference in big data

By | Al Hero, Educational, General Interest, Research | No Comments

The National Academies Committee on Applied and Theoretical Statistics has released proceedings from its June 2016 workshop titled “Refining the Concept of Scientific Inference When Working with Big Data,” co-chaired by Alfred Hero, MIDAS co-director and the John H Holland Distinguished University Professor of Electrical Engineering and Computer Science.

The report can be downloaded from the National Academies website.

The workshop explored four key issues in scientific inference:

  • Inference about causal discoveries driven by large observational data
  • Inference about discoveries from data on large networks
  • Inference about discoveries based on integration of diverse datasets
  • Inference when regularization is used to simplify fitting of high-dimensional models.

The workshop brought together statisticians, data scientists and domain researchers from different biomedical disciplines in order to identify new methodological developments that hold significant promise, and to highlight potential research areas for the future. It was partially funded by the National Institutes of Health Big Data to Knowledge Program, and the National Science Foundation Division of Mathematical Sciences.

NVIDIA, IBM info session on new technology for HPC & life science research — Jan 24

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Join us for a special IBM High Performance Computing event with NVIDIA!

Dramatic shifts in the information technology industry offer new kinds of performance capabilities and throughput. Professionals in HPC, Deep Learning, Big Data Analytics and Life Sciences are cordially invited to learn more about industry trends & directions and IT solutions from NVIDIA and IBM.

PRESENTORS

  • Brad Davidson – NVIDIA Senior Solutions Architect
  • Janis Landry-Lane – IBM Worldwide Program Director for Genomic Medicine
  • Jane Yu – IBM Worldwide Team Lead, Translational Medicine Solutions

For more information, visit our event page.

Webinar: Writing a Successful XSEDE Allocation Proposal — Jan. 5

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The Extreme Science and Engineering Discovery Environment (XSEDE) will introduce users to the process of writing an XSEDE allocation proposal and cover the elements that make a proposal successful. This webinar is recommended for users making the jump from a startup allocation to a research allocation and is highly recommended for new campus champions.

Registration: https://www.xsede.org/web/xup/course-calendar

Please submit any questions you may have via the Consulting section of the XSEDE User Portal.

https://portal.xsede.org/help-desk

NVIDIA accepting applications for Graduate Fellowship Program

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NVIDIA has launched its 16th Annual Graduate Fellowship Program, which awards grants and technical support to graduate students who are doing outstanding GPU-based research.

This year NVIDIA is especially seeking doctoral students pushing the envelope in artificial intelligence, deep neural networks, autonomous vehicles, and related fields. The Graduate Fellowship awards are now up to $50,000 per student. These grants will be awarded in the 2017-2018 academic year.

Since its inception in 2002, the NVIDIA Graduate Fellowship Program has awarded over 130 Ph.D. graduate students with grants that have helped accelerate their research efforts.

The NVIDIA Graduate Fellowship Program is open to applicants worldwide. The deadline for submitting applications is Jan. 16, 2017. Eligible graduate students will have already completed their first year of Ph.D. level studies in the areas of computer science, computer engineering, system architecture, electrical engineering or a related area. In addition, applicants must also be engaged in active research as part of their thesis work.

For more information on eligibility and how to apply, visit http://research.nvidia.com/relevant/graduate-fellowship-program or email fellowship@nvidia.com.

Blue Waters accepting proposals for allocations, fellowships, and undergrad internships

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The GLCPC (Great Lakes Consortium for Petascale Computation) recently posted its call for proposals. Researchers from member institutions (including the University of Michigan) are eligible to apply for a Blue Waters allocation.  The application deadline is Friday, December 2nd.  More information can be found at: http://www.greatlakesconsortium.org/2016cfp.htm

Applications are also being accepted for Blue Waters Fellowships. Applications are due February 3, 2017. More information is available at: https://bluewaters.ncsa.illinois.edu/fellowships

Applications are now being accepted for Blue Waters undergraduate internships. Applications are due February 3, 2017.  More information is available at: https://bluewaters.ncsa.illinois.edu/internships

HPC User Meetups set for October, November and December

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Users of high performance computing resources are invited to meet ARC-TS HPC operators and support staff in person at an upcoming user meeting:

  • Monday, October 17, 1:10 – 5 p.m., 2001 LSA Building (500 S. State St.)
  • Wednesday, November 9, 1 – 5 p.m., 1180 Duderstadt Center (2281 Bonisteel Blvd., North Campus)
  • Monday, December 12, 1 – 5 p.m., 4515 Biomedical Science Research Building (BSRB, 109 Zina Pitcher Pl.)

There is not a set agenda; come at anytime and stay as long as you please. You can come and talk about your use of any sort of computational resource, Flux, Armis, Hadoop, XSEDE, Amazon, or other.

Ask any questions you may have. The ARC-TS staff will work with you on your specific projects, or just show you new things that can help you optimize your research.

This is also a good time to meet other researchers doing similar work.

This is open to anyone interested; it is not limited to Flux users.

Examples of potential topics:

  • What ARC-TS services are there, and how to access them?
  • I want to do X, do you have software capable of it?
  • What is special about GPU/Xeon Phi/Accelerators?
  • Are there resources for people without budgets?
  • I want to apply for grant X, but it has certain limitations. What support can ARC-TS provide?
  • I want to learn more about the compiler and debugging?
  • I want to learn more about performance tuning, can you look at my code with me?
  • Etc.

Dr. Greg Wilson, founder of Software Carpentry, to speak on U-M campus Oct. 12-13

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The founder of Software Carpentry, Dr. Greg Wilson, will be on the U-M campus to give two public talks. Over the past 18 years, The Software and Data Carpentry organizations have sought to improve the data analysis and computing skills of researchers around the world. The organizations’ materials are developed collaboratively under the Creative Commons-Attribution license and taught by hundreds of trained volunteer instructors. Dr. Wilson will present two talks that you are invited to attend. Both talks will be in the Clark Library presentation space on the second floor of Hatcher South:

“Software Carpentry: Lessons Learned”
1:00 pm on Wednesday, 10/12, Clark Library
Since its start in 1998, Software Carpentry has evolved from a week-long training course at the US national laboratories into aworldwide volunteer effort to improve researchers’ computing skills. This talk will explore the lessons we’ve learned along the way about applying open source software development techniques to teaching at scale, and about getting people and institutions to change the way they work.

“Not on the Shelves: What Nonexistent Books, Tools, and Courses Can Tell Us About Ourselves”
11 am on Thursday, 10/13, Clark Library
Hundreds of books about writing compilers are currently on the market, but there are only three about writing debuggers. Spreadsheets are used to do calculations more often than every other kind of tool combined, but thirty-five years after their invention, version control systems still can’t handle them. Everyone thinks we should teach children how to program, but undergraduate courses on computing education are practically nonexistent.  This talk will explore what
these gaps in our books, tools, and courses tell us about the state of computing today, and about what it could look like tomorrow.

For more information: pschloss@umich.edu