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).

Ann Arbor Deep Learning annual event — Nov. 12

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a2-dlearn2016 is an annual event bringing together deep learning enthusiasts, researchers and practitioners from a variety of backgrounds.

MIDAS is proud to co-sponsor the event, which began last year as a collaboration between the Ann Arbor – Natural Language Processing and Machine Learning: Data, Science and Industry meetup groups.

The event will include speakers from the University of Michigan, University of Toronto, Toyota Research Institute and MDA Information Systems.

Please visit the event website for more information. Registration is required as space is limited.

MIDAS co-sponsoring Transportation Research Board’s Transformational Technologies symposium — Oct. 31 & Nov. 1 in Detroit

By | Al Hero, Educational, Events, General Interest, News | No Comments

This symposium will bring together leaders from the public and private sectors and academia to meet the challenges posed by deployment of transformational transportation technologies. MIDAS affiliated faculty members Carol Flannagan, Al Hero and Pascal Van Hentenryck will be speaking.

For more information, visit the event website.

U-M Professors Jacob Abernethy and Eric Schwartz to speak on “Statistical and Algorithmic Tools to Aid Recovery in Flint” — Sept. 12

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ABSTRACT: Recovery from the Flint Water Crisis has been hindered by uncertainty in both the water testing process and the causes of contamination. On the other hand, city, state, and federal officials have been collecting and organizing a significant amount of data, including many thousands of water samples, information on pipe materials, and city records. Combining all of this information, and utilizing state-of-the-art algorithmic and statistical tools, we have be able to develop a clearer picture as to the source of the problems, to accurately estimate the greatest risks, and to more efficiently direct resources towards recovery.

Graduate programs in computational and data science — informational sessions Sept. 19 & 21

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Students interested in computational and data science are invited to learn about graduate programs that will prepare them for success in computationally intensive fields. Pizza and pop will be provided.

Two sessions are scheduled:

Monday, Sept. 19, 5 – 6 p.m.
Johnson Rooms, Lurie Engineering Center (North Campus)

Wednesday, Sept. 21, 5 – 6 p.m.
2001 LSA Building (Central Campus)

The sessions will address:

  • The Ph.D. in Scientific Computing, which 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, which 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. This year we will offer a new practicum option through the Multidisciplinary Design Program.
  • The Graduate Certificate in Data Science, which 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.

Transportation Research Board symposium on transformational technologies — Oct. 31-Nov. 1, Detroit

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The Transportation Research Board (TRB) of the National Academies of Science, Engineering, and Medicine is sponsoring the “Partners in Research Symposium: Transformational Technologies” on October 31-November 1, 2016, in Detroit, Michigan.

Registration is open and Patron opportunities are available.

Additional details can be found under the “Program” tab in the symposium website.

New technologies have the potential to transform transportation as we know it. Public agencies are being challenged to facilitate the deployment of these technologies in a manner and timeframe that will lead to improved safety, reduced congestion, enhanced sustainability, and economic development. This TRB symposium will bring leaders from the public and private sectors and academia together to help generate research and innovations to enable agencies to meet this challenge. The symposium will lay the foundation for research roadmaps and partnerships.

Technologies that are expected to be addressed include connected and automated vehicles, shared-use mobility services, smart cities and the internet-of-things, unmanned aircraft systems, NextGen, big data and cybersecurity, and alternative fueled vehicles.

NSF Program Solicitation: Quantitative Approaches to Biomed. Big Data (QuBBD)

By | Events, Funding Opportunities, General Interest, Happenings, News, Paper/Presentation Solicitation | No Comments

The NIH Big Data to Knowledge Initiative (BD2K, https://datascience.nih.gov/bd2k), together with the Division of Mathematical Sciences at NSF, announces the release of a new program solicitation (NSF 16-573)

This program is designed to support novel mathematical, statistical, or computational approaches to biomedical big data challenges. Collaborative efforts that bring together quantitative scientists and biomedical researchers are a requirement for this program and must be convincingly demonstrated in the proposal. The program is designed to foster and support new inter- and multi-disciplinary teams of investigators. The due date for full proposals is September 28, 2016.

BD2K is a trans-NIH initiative that aims to support advances in data science, other quantitative sciences, and training that are needed for the effective use of big data in biomedical research. Interested applicants are encouraged to join the BD2K listserv (https://list.nih.gov/cgi-bin/wa.exe?SUBED1=bd2kupdates&A=1) to receive the most up-to- date information about BD2K events and funding opportunities. Please share this opportunity with your interested scientific communities.

UMHS – PUHSC Joint Institute 2016 Symposium: Call for Posters

By | clinical, Events, Feature, Happenings, Paper/Presentation Solicitation, Translational | No Comments

University of Michigan Health System & Peking University Health Science Center

Joint Institute for Translational and Clinical Research

2016 Symposium

Call for Posters

[Downloadable Directions]

Call for Poster Abstracts: Submission Information
Showcase your research to Peking University Health Science Center counterparts as the JI looks to expand by offering funding to non-medical school faculty for new health-related joint research projects. A great venue to meet potential collaborators, the poster session will be Thursday, Oct. 13. Details, including times, will follow poster acceptance.

How to submit
Abstracts should relate to clinical and translational research studies and should be submitted electronically in a Microsoft Word document.

Send abstracts to globalreach@umich.edu by September 9, 2016. Please include the following:
Title

  • Title should be brief but should not contain abbreviations.
  • Do not bold use letters in the title unless necessary.
  • Do not capitalize all letters in title, only the first word and key words.

Authors

  • Include all authors and their affiliations. To associate authors and their institutional affiliations, please place a number in parenthesis after each author’s name (if more than one author) and the corresponding number before each affiliated institution’s name (if more than one institution).
  • Put the submitting/presenting author’s name in bold.
  • Do not capitalize all letters in speaker information, only as appropriate.

Abstract

  • Abstracts are limited to 300 words. Use size 11 Arial or Calibri font.
  • Submit text only. Do not include tables, graphics, or charts.
  • Do not include title, authors, or author affiliations in the abstract text.
  • Abstracts may include background, methods, results, conclusions, and funding-source acknowledgements, if applicable.

Submitter contact information

  • First and last name, degrees
  • Email address

Please proofread carefully – information submitted with errors may be published as is. Use a word processing program to assist with checking for grammar and spelling errors, as well as word count.
The deadline to submit abstracts is Sept. 9, 2016. For more information, contact globalreach@umich.edu.