MIDAS to host faculty meeting on NSF BIGDATA solicitation

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The Michigan Institute for Data Science (MIDAS) will hold a faculty meeting at noon on Thursday, January 19 (Suite 7625, School of Public Health I, 1415 Washington Heights) for the NSF 17-534 “Critical Techniques, Technologies and Methodologies for Advancing Foundations and Applications of Big Data Sciences and Engineering (BIGDATA)” solicitation.

The meeting will include an overview of the NSF solicitation, U-M Data Science Resources (MIDAS, CSCAR, ARC-TS) available to faculty responding to the NSF call, and an opportunity to network with other faculty.

MIDAS has also arranged for Sylvia Spengler, NSF CISE Program Director, to be available at 1:30 pm to answer questions regarding the BIGDATA solicitation.

We invite you to participate in the faculty meeting to share your ideas and interest in responding to this BIGDATA solicitation as well as interact with other faculty looking to respond to this funding mechanism.

For those unable to participate in person, you can join virtually using GoToMeeting:

A box lunch will be provided at the faculty meeting.  Your RSVP (https://goo.gl/forms/OYAuB8mWCOlx3fw73) is appreciated.

Funding available for data set acquisition

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The new Data Acquisition for Data Science (DADS) program supports acquisition, preparation, management, and maintenance of specialized research data sets used in current and future data science-enabled research projects across U-M, with special focus on the four challenge initiative areas pursued by the Michigan Institute for Data Science (MIDAS): transportation science, health science, social science, and learning analytics.

DADS is meant to provide datasets that can be used by multiple U-M researchers and departments.

DADS is funded through the Data Science Initiative (DSI); total funding is capped at $200,000 per year for 5 years.

DADS will be managed jointly by the Library and Advanced Research Computing (ARC), with support from ARC’s Consulting for Statistics, Computing, and Analytics Research (CSCAR), MIDAS, and ARC-Technology Services (ARC-TS) units.

For more information, see arc.umich.edu/dads.

Toyota Materials Handling North America seeks proposals for University Research Program in supply chain, logistics and material handling — Aug. 31 submission deadline

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Toyota Materials Handling North America is accepting proposals for sponsored research under its University Research Program, which aims to “drive the next generation of technology for the entire supply chain, logistics and material handling industry.”

According to the company’s description, “The mission is to encourage professors and researchers to apply their knowledge of engineering and technical fields, drawing synergies and collaboration between collegiate research and Toyota Material Handling North America.”

Visit http://www.universityresearchprogram.com/ for more information and submission instructions.

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

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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.

Digging Into Data Challenge seeks data science projects in social science and humanities — June 29 deadline

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The Digging Into Data Challenge, which aims to address how “big data” changes the research landscape for the humanities and social sciences, is seeking submissions for its fourth found of funding.

Digging into Data is a grant program sponsored by several leading research funders from around the world (see each round below). Teams of researchers from at least two different participating countries send in grant applications. These applications are reviewed by an international peer review panel.

Examples of the titles of previous grant winners include:

  • Automating Data Extraction from Chinese Texts
  • Digging Archaeology Data: Image Search and Markup
  • Field Mapping: An Archival Protocol for Social Science Research Findings.

For more information on the program, see its website. For information on applying, see the Application Materials page. The deadline is June 29, 2016