MIDAS hosting Data Science Summer Camp for high school students

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The Michigan Institute for Data Science (MIDAS) is hosting a data science summer camp for juniors and seniors in high school, from July 18 – 22, 2016. Students in the camp, titled “From Simple Building Blocks to Complex Shapes: A Visual Tour of Fourier Series” will create art, diagnose disease, and play detective using the Fourier Series. Students will learn the basic mathematics behind Fourier series and use them to tackle data science problems by starting with simple building blocks and scaling up the complexity. Click to watch our preview video. Any high school student can apply, with a special focus on Juniors and Seniors. Interest in mathematics and art is strongly encouraged; experience with trigonometry recommended. The camp will be full day, and attendance is expected all five days. Contact the organizers at midas-camp@umich.edu  or visit the camp’s website for more information.

New on-campus data-science and computational research services available

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Researchers across campus now have access to several new services to help them navigate the new tools and methodologies emerging for data-intensive and computational research.

As part of the U-M Data Science Initiative announced in fall 2015, Consulting for Statistics, Computing and Analytics Research (CSCAR) is offering new and expanded services, including guidance on:

  • Research methodology for data science.
  • Large scale data processing using high performance computing systems.
  • Optimization of code and use of Flux and other advanced computing systems.
  • Advanced data management.
  • Geospatial data analyses.
  • Exploratory analysis and data visualization.
  • Obtaining licensed data from commercial sources.
  • Scraping, aggregating and integrating data from public sources.
  • Analysis of restricted data.

“With Big Data and computational simulations playing an ever-larger role in research in a variety of fields, it’s increasingly important to provide researchers with a comprehensive ecosystem of support and services that address those methodologies,” said CSCAR Director Kerby Shedden.

As part of this significant expansion of its scope, the campuswide statistical consulting service CSCAR has been renamed Consulting for Statistics, Computing and Analytics Research. It was formerly known as the Center for Statistical Consultation and Research.

For more information, see the University Record article.

Midwest Big Data Hub offers early career seed funding to improve data access — April 1, May 1 deadlines

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The Midwest Big Data Hub, an NSF-funded group including U-M’s Michigan Institute for Data Science (MIDAS), is seeking proposals from early career researchers to enhance collaborations with data-producing organizations to improve access to data. Senior researchers are also welcome to apply for funding for activities that bring together data producers and researchers with significant participation from early career researchers.

The goal of the funding, provided by the Computing Community Consortium, is to improve partnerships and collaboration between data producing organizations in industry, government, and academia and researchers. Activities can include workshops, internships, hackathons at universities, data-related competitions, travel grants and lecture series. Awards will range from between $10,000 and $40,000.

Deadlines for applications are April 1 and May 1.

For more information, including how to apply, read the proposal description on the MIDAS website.

MIDAS hosting Data Science Summer Camp for high school students

By | Educational, Events

The Michigan Institute for Data Science (MIDAS) is hosting a data science summer camp for juniors and seniors in high school, from July 18 – 22, 2016.

Students in the camp, titled “From Simple Building Blocks to Complex Shapes: A Visual Tour of Fourier Series” will create art, diagnose disease, and play detective using the Fourier Series. Students will learn the basic mathematics behind Fourier series and use them to tackle data science problems by starting with simple building blocks and scaling up the complexity. Click to watch our preview video.

Any high school student can apply, with a special focus on Juniors and Seniors. Interest in mathematics and art is strongly encouraged; experience with trigonometry recommended. The camp will be full day, and attendance is expected all five days. Contact the organizers at midas-camp@umich.edu  or visit the camp’s website for more information.

Michigan Institute for Data Science (MIDAS) announces second round of Challenge Thrust competition: Social Science & Health Science

By | General Interest, News

The Michigan Institute for Data Science (MIDAS) is pleased to announce the second competition for MIDAS Challenge Thrust awards. These awards are intended to stimulate research in key areas identified at our inaugural symposium last fall, and will lay the foundation for future funding from government, private foundations, or industry.

Requests for Proposals (RFPs) are available for awards in Data Science for Social Science and Health Science. Up to two projects will be funded at a level of approximately $1.25 million each in both of these Challenge Thrust areas.

White papers describing project goals and teaming arrangements are due May 16, 2016, and full proposals are due September 12, 2016. Awards will be announced on October 10, 2016. 

Successful research projects will cut across disciplines, have the potential for disruptive impact in the field, and hold promise for advancing the methodological foundations of data science. Interested researchers can learn more about these two MIDAS Challenge Thrust areas and connect with potential collaborators at two upcoming town hall meetings.

Upcoming Town Halls

Health Science

  • Wednesday, March 30, 2016, 5-7 p.m., Henderson Room, Michigan League

Social Science

  • Thursday, March 31, 2016, 5-7 p.m., Institute for Social Research

RFPs for the MIDAS Challenge Thrust awards in the Learning Analytics and Transportation areas were released in fall 2015. Awards in those areas will be announced this spring.

For more information, email midas-rfp@umich.edu, or visit our RFP page at midas.umich.edu/rfp.

CSCAR Data Science Skills Series adds session on Pandas case studies — Feb. 17

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CSCAR is offering a series of workshops on data science skills using Python. The workshops will be held in the Earl Lewis room in the Rackham building. All workshops will take place on Wednesday afternoons from 3:30-5.

No registration is necessary and there is no fee to attend. Please note: A new section has been added on Pandas case studies.

Schedule:

  • January 27: Data management with Pandas
  • February 10: Graphics and data visualization with Matplotlib and Bokeh
  • NEW: February 17: Pandas case studies (CMS data analyses)
  • February 24: Basic statistical analysis with Statsmodels
  • March 9: Sklearn for predictive analysis and data exploration
  • March 23: Advanced regression analysis (GEE, mixed models and multiple imputation) with Statsmodels
  • April 6: Survival analysis with Statsmodels

Additional workshops will be scheduled on the following topics, dates to be announced:

  • Geospatial analysis
  • Building and accessing databases
  • MPI, parallel, and distributed computing

Class material will be posted on the series website.

Workshops: Data Science Skills Series (Python) — Jan. 27 through April 6

By | Educational, Events

CSCAR will offer a series of workshops on data science skills using Python. The workshops will be held in the Earl Lewis room in the Rackham building. All workshops will take place on Wednesday afternoons from 3:30-5.

The workshops are free and no registration is necessary.

Schedule:

  • January 27: Data management with Pandas
  • February 10: Graphics and data visualization with Matplotlib and Bokeh
  • February 24: Basic statistical analysis with Statsmodels
  • March 9: Sklearn for predictive analysis and data exploration
  • March 23: Advanced regression analysis (GEE, mixed models and multiple imputation) with Statsmodels
  • April 6: Survival analysis with Statsmodels

Additional workshops will be scheduled on the following topics, dates to be announced:

  • Geospatial analysis
  • Building and accessing databases
  • MPI, parallel, and distributed computing

Class material will be posted on the series website.

Hadoop Workshop — Feb. 17

By | Educational, Events

Registration is now open for a Hadoop Workshop offered by ARC-TS.

Time/Date: 2 – 5 p.m., Wednesday, February 17, 2016

Location: Room B250, East Hall, 530 Church Street

Instructor: Brock Palen, Advanced Research Computing – Technology Services

Overview: Learn how to process large amounts (up to terabytes) of data using SQL and/or simple programming models available in Python, Scala, and Java. Computers will be provided to follow along with hands-on examples; users can also bring laptops.

More information and registration: arc-ts.umich.edu/hadoop-workshop

Space is limited, so sign up as soon as possible to reserve your spot.

Slides/video available from MIDAS kickoff symposium

By | News

Slides and video are now available from the kickoff symposium for the Michigan Institute for Data Science (MIDAS) held on Oct. 6, 2015, in the Rackham Auditorium.

U-M speakers included Provost Martha Pollack, Interim Vice President for Research S. Jack Hu, MIDAS co-directors Brian Athey and Al Hero, and Associate Vice President for Advanced Research Computing Eric Michielssen.

The keynote address, titled “Privacy and Reproducibility in Data Science,” was given by Daniel Goroff, Vice President of the Alfred P. Sloan Foundation.