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(Summer Research Experience for Undergraduates)
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'''June 1 - August 7, 2020'''
 
'''June 1 - August 7, 2020'''
  
'''Sponsored by National Science Foundation'''
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'''Sponsored by National Science Foundation Award#[[1950826 https://www.nsf.gov/awardsearch/showAward?AWD_ID=1950826]]'''
  
 
'''Hosted by Marquette University—Department of Computer Science, Milwaukee, WI'''
 
'''Hosted by Marquette University—Department of Computer Science, Milwaukee, WI'''

Revision as of 21:59, 12 January 2020

Welcome to the Marquette University Data Science REU Wiki

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Summer Research Experience for Undergraduates

Research Experiences for Undergraduates (REU) Site : Data Science Across Disciplines

June 1 - August 7, 2020

Sponsored by National Science Foundation Award#1950826 https://www.nsf.gov/awardsearch/showAward?AWD_ID=1950826

Hosted by Marquette University—Department of Computer Science, Milwaukee, WI

It is now well established that there is a critical need for data science researchers who can think creatively to solve problems in interdisciplinary fields such as healthcare, social science, and exercise science. Further, there exists scarcity of workforce and opportunities to train the next generation of researchers to tackle the problems in data science. To address the scarcity, this Data Science Across Disciplines Research Experiences for Undergraduates Site (DSAD-REU) will immerse undergraduate students in an interdisciplinary research-intensive training and mentoring program.

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Our mentor research areas lie in all of these areas, as well as in how people learn to work in these fields, and how we prepare the next generation of students to explore data science.

Highlights

  • Research themes/projects from different areas in data science such as core data science, exercise science, healthcare, social science and spatial analytics.
  • 3-day mini boot camp on introduction to data science (first week of the program).
  • Mentoring by researchers at Marquette University, Milwaukee, WI.
  • Professional and leadership development opportunities.
  • Poster presentation, technical report and publication opportunities.

Application Process

Click here to learn about the Application Process.

Projects

Research Areas

Healthcare

Data Science Algorithms Ethics and Fairness:

Exercise Science

Social Science

Computer Science Education:

Bioinformatics and Computational Biology

Spatial Analytics

High Performance Computing and Computational Science:

Embedded, Mobile, and Ubiquitous Systems:

Security:

Applied Mathematical Modeling:

Projects from Previous Years

Summer 2018 Projects

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Summer 2017 Projects

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Summer 2016 Projects

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Summer 2015 Projects

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Summer 2014 Projects

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Summer 2013 Projects

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Summer 2012 Projects

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Summer 2011 Projects

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Summer 2010 Projects

Summer 2009 Projects

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All inquiries may be routed to the site coordinators, Dr. Praveen Madiraju or Dr. Dennis Brylow.