U-M 3D Lab Open House — Jan. 15

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Curious about new technologies, or have a project in mind but not sure where to start? The UM3D Lab Fall Open House will feature demonstrations of Virtual Reality, Rapid Prototyping, Motion Capture, 3D Capturing, Mobile Development, Animations, and more.

In addition to various new technology, projects, and expertise, this semester we’re excited to display:

  • Oculus Rift Head Mounted Display – try out the acclaimed headset and see what low-cost Virtual Reality can do.
  • Cube 3D Printers – ever want to print something in 3D? Come see the new Cube 3 printers that will be replacing the Cube 2.
  • Our 3D Printing Service now includes a couple “Printrbot” 3D Printers.
  • Unreal Engine in Virtual Reality – The 3D Lab’s MIDEN (our 10×10′ immersive, stereoscopic, virtual reality space) is now capable of running environments created in the Unreal game engine. The Unreal Engine allows for a higher level of immersion in virtual environments by providing an array of realistic materials and atmospheric effects.
  • Photogrammetry station allowing for quick scanning of objects big and small.

Join us to see all of the amazing technology and services available to you through the Library.

UM3D Lab Winter Open House
Friday, January 15th
12:00pm to 6:00pm

UM3D Lab, Digital Media Commons
First Floor of the Duderstadt Center

XSEDE Scholars Program for U.S. students from underrepresented groups seeking applications — Feb. 1 deadline

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The XSEDE Scholars Program (XSP) is a program for U.S. students from underrepresented groups in the area of computational sciences. Scholars will learn more about high performance computing and XSEDE resources, network with cutting-edge researchers and professional leaders, and belong to a cohort of student peers to establish a community of academic leaders. In particular, the focus is on the following underrepresented groups: African Americans, Hispanics, Native Americans, and women.

XSEDE Scholars:

  • Receive a stipend of $5000 and 30,000 computing service unit hours to work on an HPC educational/research internship from May 31, 2016-June 1, 2017.
  • Receive a travel grant to attend the annual XSEDE Conference (XSEDE16)
  • Meet other XSEDE Scholars in special session at the XSEDE16 conference and via an online community throughout the year
  • Participate in at least six online technical training and mentoring webinars with other XSEDE scholars
  • Network with leaders in the XSEDE research community
  • Learn about research, internships, and career opportunities
  • Travel to 2-week Blue Waters Petascale Institute

For more information and to apply: XSEDE Scholars Program Web page.

Info Sessions: Graduate programs in computational and data science — Feb. 22, 23

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Learn about graduate programs that will prepare you for success in computationally intensive fields, and enjoy some pizza. Presentations will describe the following programs:

  • The Ph.D. in Scientific Computing is open to all Ph.D. students who will make extensive use of large-scale computation, computational methods, or algorithms for advanced computer architectures in their studies. It is a joint degree program, with students earning a Ph.D. from their current departments, “… and Scientific Computing” — for example, “Ph.D. in Aerospace Engineering and Scientific Computing.”
  • The Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.
  • The Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics: 1) Modeling — Understanding of core data science principles, assumptions and applications; 2) Technology — Knowledge of basic protocols for data management, processing, computation, information extraction, and visualization; 3) Practice — Hands-on experience with real data, modeling tools, and technology resources.

Monday, February 22, 5-6 p.m., Room 2001, LS&A Building, 500 State St. 

Tuesday, February 23, 5-6 p.m., EECS 1200, 1301 Beal Ave. 

Presenters:

  • Krishna Garikipati, Professor of Mechanical Engineering and Mathematics, and Associate Director for Research, Michigan Institute for Computational Discovery and Engineering.
  • Ivo Dinov, Associate Professor of Computational Medicine and Bioinformatics, and Human Behavior and Biological Sciences.

There will be time for questions and discussion.

MIDAS Seminar: Susan Murphy, U-M professor of Statistics and Psychiatry, on “Learning Treatment Policies in Mobile Health” — Jan. 8

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As part of the MIDAS Seminar Series, U-M Professor of Statistics and Psychiatry Susan Murphy will present a talk titled “Learning Treatment Policies in Mobile Health.”

Time/Date: 4 p.m., Friday, Jan. 8, 2016

Location: Forum Hall, Palmer Commons, 100 Washtenaw Ave.

Abstract: We describe a sequence of steps that facilitate effective learning of treatment policies in mobile health. These include a clinical trial with associated sample size calculator and data analytic methods. An off-policy Actor-Critic algorithm is developed for learning a treatment policy from this clinical trial data.

Bio: Susan Murphy is the H.E. Robbins Distinguished University Professor of Statistics & Professor of Psychiatry and a Research Professor at the Institute for Social Research. Her research focuses on improving sequential, individualized, decision making in health, in particular on clinical trial design and data analysis to inform the development of mobile health treatment policies.  Susan is a Fellow of the Institute of Mathematical Statistics, a Fellow of the College on Problems in Drug Dependence, a former editor of the Annals of Statistics, a member of the US National Academy of Medicine and a 2013 MacArthur Fellow.

Add to Google Calendar.

SC16 conference seeking workshop proposals — Feb. 7 deadline

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The SC16 supercomputing conference in Salt Lake City in November is taking proposals for full- and half-day workshops. The conference will include nearly 30 workshops. Proposals will be peer-reviewed with a focus on submissions that will inspire dialogue in topics of interest to the HPC community, according to an SC16 notice. Workshops are meant to complement the overall Technical Program events, expand the knowledge base of its subject area, and extend its impact by providing greater depth of focus.

Proposals must be submitted at: https://submissions.supercomputing.org/. The deadline is Feb. 7, 2016.

More information: http://sc16.supercomputing.org/submitters/workshops/
Frequently Asked Questions (FAQ): http://sc16.supercomputing.org/submitters/workshops/workshops-faq/
Email Contact: workshops@info.supercomputing.org

DOE / Krell Institute Computational Science Graduate Fellowship applications open — Jan. 19 deadline

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Applications are now being accepted for the Department of Energy/Krell Institute Computational Science Graduate Fellowships.

The fellowships include a yearly stipend of $36,000, payment of full tuition and fees during the fellowship period, a $5,000 academic allowance in the first year, up to 4 years of total support, a 12-week practicum at DOE national laboratories or sites, and more.

The program is open to U.S. citizens or permanent resident aliens who plan full-time, uninterrupted study toward a Ph.D. applications are encouraged from students in engineering and the physical, computer, mathematical or life sciences. Undergraduate seniors, applicants with no more than bachelor’s degrees who are not currently enrolled in graduate school, and first-year graduate students are eligible to apply.

See the program’s web site for more information and for application instructions.

XSEDE Research Allocation Requests — Jan 15 deadline

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XSEDE is now accepting Research Allocation Requests for the allocation period, April 1, 2016 to March 31, 2017. The submission period is from December 15, 2015 thru January 15, 2016.

XSEDE provides compute, visualization and storage resources. For more information on the call for research allocation requests, see the XSEDE announcement. A review of the resources available from XSEDE can be found on its Resources web page.

For information on how to apply for XSEDE resources, visit its Allocation Requests web page.

 

ICPSR webinar: Introduction to SEAD 2.0, The Next Generation of SEAD Data Services — Jan. 21

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The Inter-university Consortium for Political and Social Research (ICPSR) is hosting a webinar to introduce the next phase of the Sustainable Environmental Actionable Data (SEAD) project. SEAD is an NSF sponsored project to create data services to meet the needs of sustainability science research.

Date: Thursday, Jan. 21, 2016

Time: 1:30 – 2:30 p.m., EST

Presenters: Anna Ovchinnikova, SEAD Training and User Support Specialist, and James Myers, SEAD Co-PI

Registration and more information: Webinar web site.