MIDAS Working Group on NSF solicitation for Big Data Spokes

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This working group is organized by MIDAS to respond to the NSF Big Data Spokes funding solicitation (BD Spokes).  

Agenda:

  • A brief presentation about the funding opportunity and the background of the regional BD Hubs (Midwest, Northeast, South and West) and existing Spokes
  • Discussion of ideas of new Spokes and forming collaborative teams (within and outside of UM)
  • Discussion on aligning and working with regional BD hubs

The BD Spokes will work with regional BD hubs and existing spokes to accelerate progress towards societal grand challenges in regional and national priority areas, help automate the Big Data lifecycle, enable access to and increase the use of important data sets, and contribute to education and training.  The focus areas specified by NSF include: Education; Data Intensive Research in the Social, Behavioral, and Economic Sciences; Data-driven Research in Chemistry; Neuroscience; Data Analytics for Security; Replicability and Reproducibility in Data Science.  All researchers interested in proposing or collaborating on new BD Spokes are welcome to our working group.

Important Dates:

  • May 17, 2017: University of Michigan internal deadline for declaring intent.  NSF allows only one proposal from each university as the lead institution
  • Sept. 18, 2017: full proposal due to NSF

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

Research highlights: U-M group awarded Midwest Big Data Spoke award from NSF for Advanced Computational Neuroscience Network (ACNN)

By | General Interest, Happenings, News, Research

A group of three University of Michigan faculty members will lead the Advanced Computational Neuroscience Network project as a “spoke” in the Midwest Big Data Hub program funded by the National Science Foundation.

The Principal Investigator is Richard Gonzalez, Amos N. Tversky Collegiate Professor of the U-M Psychology Department, who has joint appointments in Statistics and Marketing, is Director of the Research Center for Group Dynamics, Research Professor in the Center for Human Growth and Development, and has affiliations with the U-M Comprehensive Cancer Center and the Center for Computational Medicine and Bioinformatics.

Co-PI’s are George Alter, professor in the History Department and the Institute for Social Research, and Ivo Dinov, associate professor in the School of Nursing and School of Medicine and Director of Statistics Online Computational Resources (SOCR), and associate director for Education and Training of the Michigan Institute for Data Science (MIDAS).

All three are affiliated faculty of MIDAS.

The ACNN program will leverage rapid technological development in sensing, imaging, and data analysis to facilitate new discoveries in neuroscience, and will foster new interdisciplinary collaborations across computing, biological, mathematical, and behavioral sciences together with partnerships in academia, industry and government. ACNN will address three specific problems relating to Big Data in neuroscience:

  • data capture, organization and management involving multiple centers and research groups
  • quality assurance, preprocessing and analysis that incorporates contextual metadata
  • data communication to software and hardware computational resources that can scale with the volume, velocity and variety of neuroscience data sets.

ACNN is a collaboration between U-M, Ohio State University, Indiana University, and Case Western Reserve University.

The BD Hubs and Spokes programs are part of a larger effort at NSF to advance data science and engineering. In Fiscal Year 2017, NSF will invest more than $110 million in Big Data research.