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You are here: Home / Additional Features / Previous Features / Proposals Wanted for REU Sites

Proposals Wanted for REU Sites

July 1, 2016 Leave a Comment

The American Statistical Association has received National Science Foundation (NSF) funding to support Research Experience for Undergraduates (REU) sites.

Proposals are due August 15 for faculty who want to conduct an ASA-coordinated REU site during the summer of 2017.

Each proposal should describe one or more projects for four students. The students should be mostly chosen from other institutions (rather than from the investigator’s own). As an integral part of their statistics research, funded proposals will engage students in all stages of the data analysis cycle, including the following:

  • Data verification
  • Data cleaning
  • Data visualization
  • Statistical modeling
  • Prediction
  • Data mining/machine learning/computational statistics

At least two faculty mentors are necessary for each project. Projects with an interdisciplinary component are also encouraged. Each REU site must take place within a 10-week window, beginning May 15, 2017, and ending August 25, 2017.

Funded proposals will provide stipends for the REU students and faculty mentors. Priority will be given to faculty who have a strong track record as a mentor with undergraduate student researchers and/or a strong track record of independent research with an eagerness to begin working with undergraduate students.

Find more information and download an application here. Questions may be sent to reu@amstat.org. Recruitment should target (but not be limited to) women, minorities, and persons with disabilities. Supported students must be U.S. citizens, nationals, or permanent residents.

This material is based upon work supported by the NSF under Grant No. DMS-1560332.

Filed Under: Previous Features Tagged With: call for proposals, computational statistics, data, data cleaning, data mining, data verification, data visualization, data viz, grant, machine learning, modeling, prediction, proposals, Research, REU, undergrad, undergraduate research experiences

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